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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "books = '''Wang Z.T., Chen C.Y. and Li W.J., “Information Diffusion Prediction Based on Social Representation Learning with Group Influence”, Chinese Language Resources: Data Collection, Linguistic Analysis, Annotation, and Language Processing, February, 2018 (Book Chapter). \n",
+    "Wong K.F., Gao W., Xu R.F. and Li W.J., Social Media Content Analysis: Natural Language Processing and Beyond, Series on Language Processing, Pattern Recognition, and Intelligent Systems, November, 2017. \n",
+    "Wei F.R., Li W.J., and Liu S.X., “Document-Aware Graph Models for Query-Oriented Multi-Document Summarization”, in Multimedia Analysis, Processing and Communications, 2011 (Book Chapter).\n",
+    "Li S.J., Lu Q. and Li, W.J., “Experiments of Ontology Construction with Formal Concept Analysis”, in Ontology and the Lexicon: A Natural Language Processing Perspective, March, 2010 (Book Chapter).\n",
+    "Wong K.F., Li W.J., Xu R.F. and Zhang Z.C., Introduction to Chinese Natural Language Processing, Synthesis Lectures on Human Language Technologies, October 2009.\n",
+    "Li W.J., Wong K.F. and Yuan C.F., “A Model for Processing Temporal References in Chinese”, in The Language of Time: A Reader, Edited by Inderjeet Mani, James Pustejovsky and Robert Gaizauskas, Oxford University Press, ISBN:0-19-926854-1, May, 2005 (Book Chapter). '''\n",
+    "journal = '''Mu F.T. and Li W.J., “Enhancing Narrative Commonsense Reasoning with Multi-Level Causal Knowledge”, accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS), March 20, 2024. \n",
+    "Wang J., Lin D.D. and Li W.J., “Target-constrained Bidirectional Planning for Goal-driven Dialogue Generation”, accepted by ACM Transactions on Information Systems (TOIS), March 7, 2024. \n",
+    "Wang J., Lin D.D. and Li W.J., “A Target-driven Planning Approach for Goal-oriented Dialogue Systems”, accepted by IEEE Transactions on Neural Networks and Learning Systems, January, 2023. \n",
+    "Sun S.C., Yuan R.F., Li W.J., Cao Z.Q. and Li S.J., “Dialogue Acts Enhanced Extract-Abstract Framework for Meeting Summarization”, Information Processing and Management, 61(3), No. 103635, May, 2024. \n",
+    "Yang Y., Li G.Y., Li L.Y., Li W.J. and Yang J., “Alignment Efficient Image-Sentence Retrieval Considering Transferable Cross-Modal Representation Learning”, Frontiers of Computer Science, 18(1), No. 181335, 2024. \n",
+    "Yang Y., Zhang C.B., Song X., Dong Z., Zhu H.S., Li W.J., and Yang J., “Contextualized Knowledge Graph Embedding for Explainable Talent Training Course Recommendation”, ACM Transactions on Information Systems (TOIS), 42(2), No. 33, September, 2023.\n",
+    "Li Y.Q., Yang N., Wang L., Wei F.R. and Li W.J., “Generative Retrieval for Conversational Question Answering”, Information Processing and Management, 60(5), No. 103475, September, 2023. \n",
+    "Luo Y., Leong C.T., Jiao S.H., Chung F.L., Li W.J. and Liu G.P., “Geo-Tile2Vec: A Multi-Modal and Multi-Stage Embedding Framework for Urban Analytics”, ACM Transactions on Spatial Algorithms and Systems, 9(2) No. 10, April 2023.\n",
+    "Mei X., Cai X.Y., Xu S., Li W.J., Pan S.R. and Yang L.B., “Mutually Reinforced Network Embedding: An Integrated Approach to Research Paper Recommendation”, Expert Systems with Applications, 204, No. 117616, October 2022. \n",
+    "Li Y.Q., Li W.J., Nie L.Q., “Dynamic Graph Reasoning for Conversational Open-domain Question Answering”, ACM Transactions on Information Systems, 40(4), No. 821, October 2022. \n",
+    "Gu J.H., Xiang R., Wang X., Li J., Li W.J., Qian L.H., Zhou G.D. and Huang C.R., “Multi-Probe Attention Neural Network for COVID-19 Semantic Indexing”, 23(1), No. 259, BMC Bioinformatics, June, 2022.\n",
+    "Lei Y, Wang Z.T., Li W.J., Pei H.B. and Dai Q.Y., “Social Attentive Deep Q-networks for Recommender Systems”, IEEE Transactions on Knowledge and Data Engineering, 34(5): 2443-2457, May 2022.\n",
+    "Wang Z.T., Chen C.Y. and Li W.J., “Joint Learning of User Representation with Diffusion Sequence and Network Structure”, IEEE Transactions on Knowledge and Data Engineering, 34(3):1275-1287, March 2022. \n",
+    "Li Y.R., Zhang R.X., Cao Z.Q. and Li W.J., “Hierarchical Prediction and Adversarial Learning for Conditional Response Generation”, IEEE Transactions on Knowledge and Data Engineering, 34(1):314-327, January, 2022.\n",
+    "Wang J.S., Lin P.Q., Mu F.T. and Li W.J., “Empathetic Response Generation through Graph-based Multi-hop Reasoning on Emotional Causality”, Knowledge-based Systems, 233(5), 107547, December, 2021.\n",
+    "Wang Z.T. and Li W.J., “Hierarchical Attention Link Prediction Neural Network”, Knowledge-based Systems, 232(28), 107431, November 2021.\n",
+    "Xiang R., Chersoni E., Lu Q., Huang C.R., Li W.J. and Long, Y.F., “Lexical Data Augmentation for Sentiment Analysis”, Journal of the Association for Information Science and Technology, 72(11):1432-1447, November 2021. \n",
+    "Wang Z.T., Lei Y. and Li W.J., “Neighborhood Attention Networks with Adversarial Learning for Link Prediction”, IEEE Transactions on Neural Network and Learning Systems, 32(8):3653-3663, August 2021.\n",
+    "Xiang R., Li J., Wan M.Y. Gu J.H., Lu Q., Li W.J. and Huang C.R., “Affective Awareness in Neural Sentiment Analysis”, Knowledge-based Systems, 226(17), 107137, August 2021. \n",
+    "Wang H.W., Wang J.L., Wang J., Zhao M., Zhang W.N., Zhang F.Z., Li W.J., Xie X. and Guo M.Y., “Learning Graph Representation with Generative Adversarial Nets”, IEEE Transactions on Knowledge and Data Engineering, 33(8):3090-3103, August 2021.\n",
+    "Chen C.Y., Wang Z.T. and Li W.J., “Tracking Dynamics of Opinion Behaviors with Content-based Sequential Opinion Influence Model”, IEEE Transactions on Affective Computing, 11(4):627-639, October 2020.\n",
+    "Li C.C., Wang H.W., Zhao M., Li W.J. and Deng X.T., “Visual-Textual Emotion Analysis with Deep Coupled Video and Danmu Neural Networks”, IEEE Transactions on Multimedia, 22(6):1634-1646, June 2020.\n",
+    "Liu M.F., Zhang Y.K., Li W.J., and Ji D.H., “Joint Model of Entity Recognition and Relation Extraction with Self-attention Mechanism”, ACM Transactions on Asian Language Information Processing, 19(4), No. 59, May 2020.\n",
+    "Lei Yu and Li W.J., “Interactive Recommendation with User-specific Deep Reinforcement Learning”, ACM Transactions on Knowledge Discovery from Data, 13(6), No. 31, October 2019.\n",
+    "Wang Z.T., Chen C.Y. and Li W.J., “Information Diffusion Prediction with Network Regularized Role-based User Representation Learning”, ACM Transactions on Knowledge Discovery from Data, 13(3), No. 29, June, 2019. \n",
+    "Wang H.W., Wang, J.L., Zhao M., Li W.J., Xie X and Guo M.Y., “Exploring High-Order User Preference on the Knowledge Graph for Recommender Systems”, ACM Transactions on Information Systems, 37(3), No. 32, March, 2019. \n",
+    "Lu Z.Y., Tan H.H. and Li W.J., “An Evolutionary Context-aware Sequential Model for Topic Evolution of Text Stream”, Information Sciences, 473:166-177, January 2019.\n",
+    "Cai X.Y., Li W.J., Zhang R.X., Pan S.R. and Yang L.B, “A Three-Layered Mutually Reinforced Model for Personalized Citation Recommendation”, IEEE Transactions on Neural Networks and Learning Systems, 29(12):6026-6037, December, 2018. \n",
+    "Zhao X.Z., Hou Y.X., Song D.W. and Li W.J., “A Confident Information First Principle for Parametric Reduction and Model Selection of Boltzmann Machines”, IEEE Transactions on Neural Networks and Learning Systems, 29(5):1608-1621, May, 2018.\n",
+    "Wang P.P, Hou Y.X., Li J.F., Zhang Y.Z., Song D.W. Li W.J., “A Quasi-Current Representation for Information Needs inspired by Two-State Vector Formalism”, Physica A: Statistical Mechanics and its Applications, 482(15):627-637, September 2017.\n",
+    "Yang B., Lei Y., Liu J.M. and Li W.J., “Social Collaborative Filtering by Trust”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(8):1633-1647, August, 2017.\n",
+    "Chen C.Y., Gao D.H., Li W.J. and Hou Y.X., “Exploring Interpersonal Influence by Tracking User Dynamic Interaction”, IEEE Intelligent Systems, 32(3):28-35, May, 2017. \n",
+    "Yu Z.W., Wang Z.T., Chen L.M., Guo B. and Li W.J., “Featuring, Detecting, and Visualizing Human Sentiment in Chinese Micro-blog”, ACM Transactions on Knowledge Discovery from Data, 10(4):1-23, June, 2016.\n",
+    "Zhang R.X., Li W.J., Liu N.S. and Lu Q., “Information Ordering with an Event-Enriched Vector Space Model for Multi-Document News Summarization”, 32(2):323-351, Computational Intelligence, May, 2016.\n",
+    "Zhang R.X., Li W.J., Liu N.S. and Gao D.H., “Coherent Narrative Summarization with a Cognitive Model”, Computer Speech and Language, 35(1):134-160, January 2016.\n",
+    "Gao D.H., Wei F.R., Li W.J., Liu X.H. and Zhou M., “Cross-Lingual Sentiment Lexicon Learning with Bilingual Word Graph Label Propagation”, Computational Linguistics, 41(1):21-40, March, 2015.\n",
+    "Zhang W.P., Lau R. Li C.P. and Li W.J., “Dynamic Business Network Analysis for Correlated Stock Price Movement Prediction”, IEEE Transactions on Intelligent Systems, 30(2):26-33, March, 2015.\n",
+    "Sun X., H.F. Wang and Li W.J., “Feature-Frequency-Adaptive Online Training for a Fast and Accurate Natural Language Processing”, Computational Linguistics, 40(3):563-586, September, 2014.\n",
+    "Cai X.Y., Li W.J. and Zhang R.X., “Enhancing Diversity and Coverage of Document Summaries through Subspace Clustering and Clustering-based Optimization”, Information Sciences, 279(20):764-779, September, 2014.\n",
+    "Zhao X.Z., Hou Y.X., Song D.W. and Li W.J., “Extending the Extreme Physical Information to Universal Cognitive Models via a Confident Information First Principle”, Entropy, 16(7):3670-3688, July, 2014.\n",
+    "Hou Y.X., Wang B., Song D.W., Cao X.Y. and Li W.J., “Quadratic Tsallis Entropy Bias and Generalized Maximum Entropy Models”, Computational Intelligence, 30(2):233-262, May, 2014.\n",
+    "Gao D.H., Li W.J., Cai X.Y., Zhang R.X. and Ouyang Y., “Sequential Summarization: A Full View of Twitter Trending Topics”, IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(2):293-302, February, 2014.\n",
+    "Cai X.Y., Li W.J. and Zhang R.X., “Combining Co-clustering with Noise Detection for Theme-based Summarization”, ACM Transactions on Speech and Language Processing, 10(4), No. 16, December, 2013.\n",
+    "Sun X., Matsuzaki, T. and Li W.J., “Latent Structured Perceptrons for Large-Scale Learning with Hidden Information”, IEEE Transactions on Knowledge and Data Engineering, 25(9):2063-2075, September, 2013.\n",
+    "Hou Y.X., Zhao X.Z., Song D.W. and Li W.J., “Mining Pure High-Order Word Association via Information Geometry for Information Retrieval”, ACM Transactions on Information Systems, 31(3), Number 12, July, 2013.\n",
+    "Cai X.Y. and Li W.J., “Ranking through Clustering: An Integrated Approach to Multi-Document Summarization”, IEEE Transactions on Audio, Speech and Language Processing, 21(7):1424-1433, July, 2013.\n",
+    "Wang W., Li S.J., Li J.W., Li W.J. and Wei F.R., “Exploring Hypergraph-based Semi-Supervised Ranking for Query-oriented Summarization”, Information Science, 237(10):271-286, July, 2013.\n",
+    "Zhang R.X., Li W.J. and Gao D.H., “Towards Content-level Coherence with Aspect-Guided Summarization”, ACM Transactions on Speech and Language Processing, 10(1), Number 2, March, 2013.\n",
+    "Li B.L., Li W.J., Lu Q., Zhang D.X., “Tracking Events via Automatically Generated Profiles”, Journal of Computational Information Systems, 9(6):2225-2234, March, 2013.\n",
+    "Zhang R.X., Li W.J. Gao D.H., and Ouyang Y., “Automatic Twitter Topic Summarization with Speech Acts”, IEEE Transactions on Audio, Speech and Language Processing, 21(3):649-658, March, 2013.\n",
+    "Ouyang Y., Li W.J., Zhang R.X., Li, S.J. and Lu Q., “A Progressive Sentence Selection Strategy for Document Summarization”, Information Processing and Management, 49(1):213-221 January, 2013.\n",
+    "Liu, M.F., Hu, H.J. Li, W., “Multi-document Extractive Summarization using Event Semantic Relation Graph Clustering”, International Journal of Advancements in Computing Technology,4(22):721-730, December, 2012.\n",
+    "Cai X.Y. and Li W.J., “Mutually Reinforced Manifold-Ranking based Relevance Propagation Model for Query-Focused Summarization”, IEEE Transactions on Audio, Speech and Language Processing, 20(5):1597-1607, July, 2012.\n",
+    "Cai X.Y. and Li W.J., “Enhancing Sentence Level Clustering with Integrated and Interactive Frameworks for Theme-based Summarization”, Journal of the American Society for Information Science and Technology, 62(10):2067-2082, October, 2011.\n",
+    "Zhang P., Li W.J., Wei F.R., Hou Y.X. and Song D.W., “Developing Position Structure-Based Framework for Chinese Entity Relation Extraction”, ACM Transactions on Asian Language Information Processing, 10(3), No4:1-22, September, 2011.\n",
+    "Cai X.Y. and Li W.J., “A Spectral Analysis Approach to Document Summarization: Clustering and Ranking Sentences Simultaneously”, Information Sciences, 181(18):3816-3827, September, 2011.\n",
+    "Hu Y. and Li W.J., “Document Sentiment Classification by Exploring Description Model of Topical Terms”, Computer Speech and Language, 25(2):386-403, April, 2011. \n",
+    "Ouyang Y., Li W.J., Li, S.J. and Lu Q., “Applying Regression Models to Query-focused Multi-Document Summarization”, Information Processing and Management, 47(2):227-237, March, 2011.\n",
+    "刘茂福, 李文捷, 姬东鸿, “基于事件项语义图聚类的多文档摘要方法”, 中文信息学报, 24(5):77-85, September, 2010.\n",
+    "Li D.C., Li S.J., Li W.J. and Gu C.Y., “Keyphrase Extraction Based on Topic Relevance and Term Association”, Journal of Information and Computational Science, 7(1):293-299, 2010.\n",
+    "Wei F.R., Li W.J., and Liu S.X., “iRANK: A Rank-Learn-Combine Framework for Unsupervised Ensemble Ranking”, Journal of the American Society for Information Science and Technology, 61(6):1232-1243, June, 2010.\n",
+    "Ouyang Y., Li W.J., Li S.J. and Lu Q., “Inter-Topic Information Mining for Topic-based Summarization”, Journal of the American Society for Information Science and Technology, 61(5):1062-1072, May, 2010.\n",
+    "Hou Y.X., Zhang P., Yan, T.X., Li W.J. and Song D.W., “Beyond Redundancies: A Metric-Invariant Method for Unsupervised Feature Selection”, IEEE Transactions on Knowledge and Data Engineering, 22(3):348-364, March, 2010.\n",
+    "Wei F.R., Li W.J., Lu Q. and He Y.X., “A Document-Sensitive Graph Model for Multi-Document Summarization”, Knowledge and Information Systems, 22(2):245-259, February, 2010.\n",
+    "谌贻容, 陆勤, 李文捷, 崔高颖, “中文核心领域本体构建的一种改进方法”, 中文信息学报 (Journal of Chinese Information Processing), 24(1):48-53, January, 2010.\n",
+    "李素建, 宋涛, 高杰, 幺鹏跃, 李文捷, “一种基于使用差异的词语领域性分析方法”, 中文信息学报, 23(6):72-78, November, 2009.\n",
+    "Wei F.R., Li W.J., Lu Q. and He Y.X., “Applying Two-Level Mutual Reinforcement Ranking in Query-Oriented Multi-Document Summarization”, Journal of the American Society for Information Science and Technology, 60(10):2119-2131, October, 2009. \n",
+    "Xu R.F., Lu Q., Wong K.F. and Li W.J., “Building a Chinese Collocation Bank”, International Journal of Computer Processing of Languages, 22(1):1-27, March, 2009.\n",
+    "Hou Y.X., Zhang P., Xu X.X., Zhang X.W. and Li W.J., “Nonlinear Dimensionality Reduction by Locally Linear Inlaying”, IEEE Transactions on Neural Networks, 20(2):300-315, February 2009.\n",
+    "Wong K.F., Xia Y.Q., Xu R.F., Wu M.L. and Li W.J., “Pattern-based Opinion Mining for Stock Market Trend Prediction”, International Journal of Computer Processing of Oriental Languages, Special Issue on Opinion Mining, 21(4):347-361, December, 2008. \n",
+    "Cui G.Y., Lu Q., Li W.J. and Chen Y.R., “Attributes Selection in Chinese Ontology Acquisition with FCA”, International Journal of Computer Processing of Oriental Languages, 21(1):77-95, March, 2008.\n",
+    "Li W.J., Qian D.L., Lu Q. and Yuan C.F., “Chinese Entity Detection and Tracking: The Experience in ACE”, International Journal of Computer Processing of Oriental Languages, 20(4):219-236, December, 2007.\n",
+    "Li B.L., Li W.J. and Lu Q., “Topic Tracking with Time Granularity Reasoning”, ACM Transactions on Asian Language Information Processing: Special Issue on Reasoning in Natural Language Processing, 5(4):388-412, December, 2006. \n",
+    "Li W.J., Wu M.L., Lu Q. and Wong, K.F., “Integrating Temporal Distribution Information into Event-based Summarization”, International Journal of Computer Processing of Oriental Languages, 19(2&3):201-222, June-September, Combined Issue, 2006.\n",
+    "Wong K.F, Xia Y.Q. and Li W.J., “Linguistic and Behavioral Studies of Chinese Chat Language”, International Journal of Computer Processing of Oriental Languages, 19(2&3): 133-152, June-September, Combined Issue, 2006.\n",
+    "Cao D.F., Li W.J., Yuan C.F. and Wong K.F., “Automatic Chinese Aspectual Classification Using Linguistic Indicator”, International Journal of Information Technology, 12(4):99-109, April, 2006.\n",
+    "Wong K.F., Xia Y.Q., Li, W.J., and Yuan C.F., “An Overview of Temporal Information Extraction”, International Journal of Computer Processing of Oriental Languages: Special Issue on Advanced Technologies for Oriental Information Processing, 18(2):137-152, June 2005.\n",
+    "Li W.J., Wong K.F. and Yuan C.F., “A Design of Temporal Event Extraction from Chinese Financial News”, International Journal of Computer Processing of Oriental Language, 16(1):21-40, March, 2003.\n",
+    "Li W.J. and Wong, K.F., “The Design of a Statistical Algorithm for Resolving Structural Ambiguity in ‘V NP1 usde NP0’”, Computational Intelligence, 19(1):63-84, February, 2003.\n",
+    "Li, W.J. and Wong K.F., “A Word-based Approach for Modeling and Discovering Temporal Relations Embedded in Chinese Sentences”, ACM Transactions on Asian Language Information Processing, 1(3):173-206, September, 2002.\n",
+    "Wong, K.F., Li W.J., Yuan C.F. and Zhu X.D., “Temporal Representation and Classification in Chinese”, International Journal of Computer Processing of Oriental Language, 15(2):221-230, June, 2002.\n",
+    "王寧, 葛瑞芳, 苑春法, 黃錦輝, 李文捷, “中文金融新聞中公司名的識別”, 中文信息學報, 16(2):1-6, 2002.\n",
+    "Li, W.J., Wong K.F. and Yuan C.F., “Towards Automatic Chinese Temporal Information Extraction”, Journal of the American Society for Information Science and Technology, 52(9):748-762, July 2001.\n",
+    "Yuan C.F., Wong K.F., Chen G. and Li W.J., “An Effective Method for Chinese Grammar Rule Learning”, International Journal of Computer Processing of Oriental Language, 14(4): 361-374, 2001.\n",
+    "Li W.J. and Wong K.F., “Identifying Temporal Components in a Chinese Temporal Information System”, International Journal of Computer Processing of Chinese and Oriental Language, 13(2):131-140, 2000.\n",
+    "苑春法, 黃錦輝, 李文捷, “基於語意知識的漢語句法結構排歧”, 中文信息學報, 13(1):1-8, 1999.\n",
+    "Wong, K.F., Li, W.J., Low, B.T., and Lum, V., “Resolving Relative Clause Structural Ambiguity in Chinese Noun Phrase Extraction”, International Journal of Computer Processing of Chinese and Oriental Languages, 11(2):99-132, 1997.'''\n",
+    "top_conf = '''He J.F., Sun S.C., Peng S, Xu J. Jia X.H. and Li W.J., “Contrastive Preference Learning for Neural Machine Translation”, to appear in Findings of the 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL’2024) Mexico City, Mexico, June 16-21, 2024.\n",
+    "Li Y.Q., Yang N., Wang L., Wei F.R. and Li W.J., “Learning to Rank in Generative Retrieval”, in Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI’2024), Vancouver, Canada, February 20-27, 2024. \n",
+    "Cheng Y., Liu W.G., Wang J., Leong C.T., Ouyang Y., Li W.J., Wu X. and Zheng Y.F., “Cooper: Coordinating Specialized Agents towards A Complex Dialogue Goal”, in Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI’2024), Vancouver, Canada, February 20-27, 2024. \n",
+    "Leong C.T., Cheng Y., Wang J.S., Wang J. and Li W.J., “Detoxifying Language Models by Reversing Toxification”, in Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP’2023), Singapore, December 10-16, 2023, pp4433-4449. \n",
+    "Wang J., Cheng Y., Lin D.D., Leong C.T. and Li W.J., “Target-oriented Proactive Dialogue with Personalization: Problem Formulation and Dataset Curation”, in Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP’2023), Singapore, December 10-16, 2023, pp1132-1143.\n",
+    "Zhang Y.J., Li J. and Li W.J., Li S.J., Zhou X.J., Yang Y., and Zhang J., “VIBE: Topic-Driven Temporal Adaptation for Twitter Classification”, in Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP’2023), Singapore, December 10-16, 2023, pp3340-3354.\n",
+    "Hou W.J., Cheng Y., Xu K.S., Li W.J. and Liu J., “RECAP: Towards Precise Radiology Report Generation via Dynamic Disease Progression Reasoning”, in Findings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP’2023), Singapore, December 10-16, 2023, pp2134-2147.\n",
+    "Sun S.C., Yuan R.F., He J.F., Li W.J. and Jia X.H., “Data Selection Curriculum for Abstractive Text Summarization”, in Findings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP’2023), Singapore, December 10-16, 2023, pp7990-7995.\n",
+    "Geng L., Yan X., Cao Z.Q., Li J.T., Li W.J., Li S.J., Zhou X.J., Yang Y., and Zhang J., “KBioXLM: A Knowledge-Anchored Biomedical Multilingual Pretrained Model”, in Findings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP’2023), Singapore, December 10-16, 2023, pp11239-11250.\n",
+    "Wang J.S., Wang H.Z., Sun S.C. and Li W.J., “Align Language Models with Human Preferences via a Bayesian Approach”, in Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS’2023), December 10-16, 2023, Louisiana, USA, pp1-20. \n",
+    "Li Y.Q., Yang N., Wang L., Li W.J., and Wei F.R., “Multiview Identifiers Enhanced Generative Retrieval”, in Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL’2023), Toronto, Canada, July 9-14, 2023, pp6636-6648. \n",
+    "Hou W.J., Xu K.S., Cheng Y., Li W.J., Tom K. and Liu J., “ORGAN: Observation-Guided Radiology Report Generation via Tree Reasoning”, in Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL’2023), Toronto, Canada, July 9-14, 2023, pp8108-8122.  \n",
+    "Mu F.T. and Li W.J., “Enhancing Event Causality Identification with Counterfactual Reasoning”, in Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL’2023), Toronto, Canada, July 9-14, 2023, pp967-975.  \n",
+    "Wang J., Lin D.D. and Li W.J., “Dialogue Planning via Brownian Bridge Stochastic Process for Goal-directed Dialogue Generation”, in Findings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL’2023), Toronto, Canada, July 9-14, 2023, pp370-387.\n",
+    "Yuan R.F., Sun S.C., Wang Z.L., Cao Z.Q. and Li W.J., “Separating Context and Pattern: Learning Disentangled Sentence Representations for Low-Data Extractive Summarization”, in Findings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL’2023), Toronto, Canada, July 9-14, 2023, pp7575-7586.\n",
+    "Xu K.S., Hou W.J., Cheng Y., Wang J. and Li W.J., “Medical Dialogue Generation via Dual Flow Modeling”, in Findings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL’2023), Toronto, Canada, July 9-14, 2023, pp6771-6784.  \n",
+    "Sun S.C., Yuan R.F., Li W.J. and Li S.J., “Improving Sentence Similarity Estimation for Unsupervised Extractive Summarization”, in Proceedings of the 48th IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP’2023), Greek island of Rhodes, Greece June 4-10, 2023. \n",
+    "Yuan R.F., Wang Z.L., Cao Z.Q. and Li W.J., “Preserve Context Information through Interpretability for Extract-Generate Long-Input Summarization Framework”, in Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI’2023), Washington, DC, USA, February 7-14, 2023, pp13932-13939.\n",
+    "Lin D.D., Wang J. and Li W.J., “COLA: Improving Conversational Recommender Systems by Collaborative Augmentation”, in Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI’2023), Washington, DC, USA, February 7-14, 2023, pp4462-4470.\n",
+    "Yuan R.F., Wang Z.L., Cao Z.Q. and Li W.J., “Few-shot Query-Focused Summarization with Prefix-Merging”, in Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP’2022), December 7-11, 2022, pp3704-3714, pp3704-3714.\n",
+    "Cheng Y., Liu W.G., Wang J.S. and Li W.J., “Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning”, in Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP’2022), December 7-11, 2022, pp3014-3026.\n",
+    "Wang J.S., Lin P.Q., Mu F.T. and Li W.J., “CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation”, in Findings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP’2022), December 7-11, 2022, pp729-741.\n",
+    "Yan H.Q., Gui L., Li W.J. and He Y.L., “Addressing Token Uniformity in Transformers via Singular Value Transformation”, in Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, Eindhoven, Netherlands (UAI’2022), August 1-5, 2022, PMLR 180:2181-2191.\n",
+    "Mu F.T. and Li W.J., “Enhancing Text Generation via Multi-Level Knowledge Aware Reasoning”, in Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI’22), Vienna, Austria, July 23-29, 2022, pp4310-4316.\n",
+    "Liu W.G., Cheng Y., Wang H., Tang J.H., Liu Y.F, Zhao R.H., Li W.J., Zheng Y.F., Liang X.D., “My nose is running.” “Are you also coughing?”: Building A Medical Diagnosis Agent with Interpretable Inquiry Logics”, in Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI’22), Vienna, Austria, July 23-29, 2022, pp4266-4272.\n",
+    "Li Y.Q. Li W.J. and Nie L.Q., “MMCoQA: Conversational Question Answering over Text, Tables, and Images”, in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL’2022), Dublin, May 22-27 2022, pp4220-4231.\n",
+    "Yuan R.F., Wang Z.L. and Li W.J., “Event Graph based Sentence Fusion”, in Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP’2021), Punta Cana, Dominican Republic, November 7-11, 2021, pp4075-4084.\n",
+    "Mu F.T., Li W.J. Xie and Z.P., “Effect Generation based on Causal Reasoning”, in Findings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP’2021), Punta Cana, Dominican Republic, November 7-11, 2021, pp527-533.\n",
+    "Wang J. and Li W.J., “Template-guided Clarifying Question Generation for Web Search Clarification”, in Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM’2021), November 1-5, 2021, pp3468-347.\n",
+    "Li Y.R., Li W.J. and Wang Z.T., “Graph-Structured Context Understanding for Knowledge-grounded Response Generation”, in Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’2021), July 11-15, 2021, pp1930-1934.\n",
+    "Yuan R.F., Wang Z.L. and Li W.J., “Fact-level Extractive Summarization with Hierarchical Graph Mask on BERT”, in Proceedings of the 28th International Conference on Computational Linguistics (COLING’2020), Barcelona, Spain, December 8-11, 2020, pp5629-5639. \n",
+    "Lei Y., Pei H.B., Yan H.Q. and Li W.J., “Reinforcement Learning based Recommendation with Graph Convolutional Q-network”, in Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’2020), July 25-30, 2020, Xi'an, China, pp1757-1760.\n",
+    "Wang Z.T., Lei Y. and Li W.J., “Neighborhood Interaction Attention Network for Link Prediction”, in Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM’2019), Beijing, China, November 3-7, 2019, pp2153-2156. \n",
+    "Wang Z.T and Li W.J., “Hierarchical Diffusion Attention Network”, in Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI’2019), Macao, China, August 10-16, 2019, pp3828-3834.\n",
+    "Wang H.W., Zhang F.Z., Zhang M.D., Leskovec J., Zhao M., Li W.J. and Wang Z.Y., “Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization”, in Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’2019), Alaska, USA, August 4-8, 2019, pp968-977. \n",
+    "Ye H., Li W.J. and Wang L., “Jointly Learning Semantic Parser and Generator via Dual Information Maximization”, in Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL’2019), Florence, Italy, July 28-August 2, 2019, pp2090-2101.\n",
+    "Lei Y., Wang Z.T., Li W.J. and Pei H.B., “Social Attentive Deep Q-network for Recommendation”, in Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’2019), Paris, France, July 21-25, 2019, pp1189-1192.\n",
+    "Wang H.W., Zhang F.Z., Zhao M., Li W.J., Xie X. and Guo M.Y., “Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation”, in Proceedings of the Web Conference 2019 (WWW’2019), San Francisco, CA, USA, May 13-17, 2019, pp2000-2010.\n",
+    "Wang H.W., Zhao M., Xie X., Li W.J. and Guo M.Y., “Knowledge Graph Convolutional Networks for Recommender Systems”, in Proceedings of Web Conference 2019 (WWW’2019), San Francisco, CA, USA, May 13-17, 2019, pp3307-3313.\n",
+    "Li Y.R. and Li W.J., “Meta-path Augmented Response Generation”, in Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI’2019), Hawaii, USA, January 27-February 1, 2019. (Student Abstract).\n",
+    "Su H., Shen X.Y., Li. W.J., Klakow D. and Weikum G., “Nexus Network: Connecting the Preceding and the Following in Dialogue Generation”, in Proceedings of 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP’2018), Brussels, Belgium, October 31 - November 4 2018, pp4316-4327.\n",
+    "Du J.C., Li. W.J., He Y.L., Xu R.F., Bing L.D. and Wang X., “Variational Autoregressive Decoder for Neural Response Generation”, in Proceedings of 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP’2018), Brussels, Belgium, October 31 - November 4 2018, pp3154-3163.\n",
+    "Wang Z.T., Chen C.Y. and Li W.J., “A Sequential Neural Information Diffusion Model with Structure Attention”, in Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM’2018), Turin, Italy, October 22-26, 2018, pp1795-1798.\n",
+    "Wang Z.T., Chen C.Y., Zhang K., Lei Y. and Li W.J., “Variational Recurrent Model for Session-based Recommendation”, in Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM’2018), Turin, Italy, October 22-26, 2018, pp1839-1842.\n",
+    "Wang H.W., Zhang F.Z., Wang J.L., Zhao M., Li W.J., Xie X. and Guo M.Y., “Ripple Network: Propagating User Preferences on the Knowledge Graph for Recommender Systems”, in Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM’2018), Turin, Italy, October 22-26, 2018, pp417-426.\n",
+    "Cao Z.Q., Li W.J., Li S.J. and Wei F.R., “Retrieve, Rerank and Rewrite: Soft Template Neural Summarization”, in Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL’2018), Melbourne, Australia, July 15-20, 2018, pp152-161.\n",
+    "Xu J.J., Sun X., Zeng Q., Zhang X.D. Ren X.C., Wang H.F. and Li W.J., “Unpaired Sentiment-to-Sentiment Translation Using Cycled Reinforcement Learning”, in Proceedings of in Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL’2018), Melbourne, Australia, July 15-20, 2018, pp979-988.\n",
+    "Ma S.M., Sun X., Li W., Li S.J., Li W.J. and Ren X.C., “Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase Generation”, in Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT’2018), Louisiana, USA, June 1-6, 2018, pp196-206.\n",
+    "Wang Z.T., Chen C.Y. and Li W.J., “Attention Network for Information Diffusion Prediction”, in Proceedings of the Web Conference (WWW’2018), Lyon, France, April 23-27, 2018, pp65-66.\n",
+    "Chen C.Y., Wang Z.T., Li W.J. and Sun X., “Modeling Scientific Influence for Research Trending Topic Prediction”, in Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI’2018), New Orleans, USA, February 2-7, 2018, pp2111-2118.\n",
+    "Cao Z.Q., Wei F.R., Li W.J. and Li S.J., “Faithful to the Original: Fact Aware Neural Abstractive Summarization”, in Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI’2018), New Orleans, USA, February 2-7, 2018, pp4784-4791. \n",
+    "Li Z., Wang H.W., Zhao M., Li W.J. and Guo M.Y., “Deep Representation-Decoupling Neural Networks for Monaural Music Mixture Separation”, in Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI’2018), New Orleans, USA, February 2-7, 2018, pp93-100.\n",
+    "Su H., Shen X.Y., Li W.J., Hu P.W. and Chen Y., “Dialogue Generation with GAN”, to appear in Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI’2018), New Orleans, USA, February 2-7, 2018, pp8163-8164. (Student Abstract and Poster Program)\n",
+    "Li Y.R., Su H., Shen X.Y. and Li W.J., “DailyDialog: A Manually Labeled Multi-turn Dialogue Dataset”, in Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP’2017), Taiwan, November 27-December 1, 2017, pp986-995. \n",
+    "Chen Q., Li C.L, Li W.J. and He Y.X., “Modeling Language Discrepancy for Cross-Lingual Sentiment Analysis”, in Proceedings of the 26th International Conference on Information and Knowledge Management (CIKM’2017), Singapore, November 6-10, 2017, pp117-126.\n",
+    "Lei Y., Li W.J., Lv Z.Y. and Zhao M., “Alternating Pointwise-Pairwise Learning for Personalized Item Ranking”, in Proceedings of the 26th International Conference on Information and Knowledge Management (CIKM’2017), Singapore, November 6-10, 2017, pp2155-2158.\n",
+    "Chen C.Y., Wang Z.T. and Li W.J., “Modeling Opinion Influence with User Dual Identity”, in Proceedings of the 26th International Conference on Information and Knowledge Management (CIKM’2017), Singapore, November 6-10, 2017, pp2019-2022.\n",
+    "Tan H.H., Lv Z.Y. and Li W.J., “Neural Network based Reinforcement Learning for Real-time Pushing on Text Stream”, in Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’2017), Tokyo, Japan. August 7-11, 2017, pp913-916.\n",
+    "Wang Z.T., Chen C.Y. and Li W.J., “Predictive Network Representation Learning for Link Prediction”, in Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’2017), Tokyo, Japan, August 7-11, 2017, pp969-972.\n",
+    "Du J.C., Xu R.F., He Y.L., Gui L. (and Li W.J.), “Stance Classification with Target-specific Neural Attention”, in Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI’2017), Melbourne, Australia, August 19-25, 2017, pp3988-3994.\n",
+    "Shen X.Y., Su H., Li Y.R., Li W.J., Niu S.Z., Zhao Y., Aizawa A. and Long G.P., “A Conditional Variational Framework for Dialog Generation”, in Proceedings of the 55th annual meeting of the Association for Computational Linguistics (ACL’2017), Vancouver, Canada, July 30 - August 4, 2017, pp504-509.\n",
+    "Ma, S.M., Su X., Xu J.J., Wang H.F., Li W.J. and Su Q., “Improving Semantic Relevance for Chinese Social Media Text Summarization”, in Proceedings of the 55th annual meeting of the Association for Computational Linguistics (ACL’2017), Vancouver, Canada, July 30 - August 4, 2017, pp635-640.\n",
+    "Ye J.B., Li Y.R., Wu Z.H., Wang J.Z., Li W.J. and Li J., “Determining Gains Acquired from Word Embedding Quantitatively using Discrete Distribution Clustering”, in Proceedings of the 55th annual meeting of the Association for Computational Linguistics (ACL’2017), Vancouver, Canada, July 30 - August 4, 2017, pp1847-1856.\n",
+    "Che T., Li Y.R., Jacob A., Bengio Y. and Li W.J., “Mode Regularized Generative Adversarial Networks”, in Proceedings of International Conference on Learning Representations (ICLR’2017), Toulon, France, April 24 - 26, 2017.\n",
+    "Cao Z.Q., Li. W.J., Li S.J. and Wei F.R., “Improving Multi-Document Summarization via Text Classification”, in Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI’2017), San Francisco, USA, February 4-9, 2017, pp3053-3059.\n",
+    "Cao Z.Q., Li. W.J., Luo C.W. and Li S.J., “Joint Copying and Restricted Generation for Paraphrase”, in Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI’2017), San Francisco, USA, February 4-9, 2017, pp3152-3158.\n",
+    "Cao Z.Q., Li. W.J., Li S.J., Wei F.R. and Li Y.R., “AttSum: Joint Learning of Focusing and Summarization with Neural Attention”, in Proceedings of the 26th International Conference on Computational Linguistics (COLING’2016), Osaka, Japan, December 11-16, 2016, pp547-556.\n",
+    "Chen C.Y., Wang Z.T., Lei Y. and Li W.J., “Content-based Influence Modeling for Opinion Behavior Prediction”, in Proceedings of the 26th International Conference on Computational Linguistics (COLING’2016), Osaka, Japan, December 11-16, 2016, pp2207-2216.\n",
+    "Cao Z.Q., Chen C.Y., Li W.J., Li S.J., Wei F.R. and Zhou M., “TGSUM: Build Tweet Guided Multi-Document Summarization Dataset”, in Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI’2016), Arizona USA, February 12-17, 2016, pp 2906-2912. \n",
+    "Mi S., Zhao X.Z., Hou Y.X., Zhang P., Li W.J. and Song D., “Iterative Project Quasi-Newton Algorithm for Training RBM”, in Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI’2016), Arizona USA, February 12-17, 2016, pp4236-4237.\n",
+    "Li Y.R. Li W.J. and Li S.J., “Component-Enhanced Chinese Character Embeddings”, in Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP’2015), Lisboa, Portugal, September 17-21, 2015, pp829-834. \n",
+    "Xing N., Hou Y.X., Zhang P., Li W.J. and Song D.W., “Reinforcing the Topic of Embeddings with Theta Pure Dependence for Text Classification”, in Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP’2015), Lisboa, Portugal, September 17-21, 2015, pp2551-2556.\n",
+    "Xie M.J., Hou Y.X., Zhang P., Li J.F., Li W.J., and Song D.W., “Modeling Quantum Entanglements in Quantum Language Models”, in Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI’2015), Buenos Aires, Argentina, July 25 - August 1, 2015, pp1362-1368.\n",
+    "Chen Q, Li W.J., Lei Y. and Yuan Y.X., “Learning to Adapt Credible Knowledge in Cross-lingual Sentiment Analysis”, in Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL’2015), Beijing, China, July 26-31, 2015, pp419-429.\n",
+    "Li Y.R. Li W.J. and Li S.J., “A Hierarchical Knowledge Representation for Expert Finding on Social Media”, in Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL’2015), Beijing, China, July 26-31, 2015, pp616-622. \n",
+    "Cao Z.Q., Wei F.R., Li S.J. and Li W.J., “Learning Summary Prior in Extractive Summarization”, in Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL’2015), Beijing, China, July 26-31, 2015, pp829-833. \n",
+    "Cao Z.Q., Li S.J., Liu Y., Li W.J., and Ji H., “A Novel Neural Topic Model and its Supervised Extension”, in Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI’2015), Austin Texas, USA, January 25-30, 2015, pp2210-2216.\n",
+    "Chen C.Y., Gao D.H., Li W.J. and Hou Y.X., “Inferring Topic-Dependent Influence Roles of Twitter Users”, in Proceedings of the 37th Annual International ACM SIGIR Conference (SIGIR’2014), Cold Coast, Australia, July 6-11, 2014, pp1203-1206.\n",
+    "Li S.J., Wang L., Cao Z.Q. and Li W.J., “Text-level Discourse Dependency Parsing”, in Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL’2014), Baltimore, USA, June 22-27, 2014, pp60-68.\n",
+    "Meng F.Q., Gao D.H., Li W.J., Sun X. and Hou Y.X., “A Unified Graph Model for Personalized Query-Oriented Reference Paper Recommendation”, in Proceedings of the 22nd ACM International Conference on Information and Knowledge Management (CIKM’2013), San Francisco, USA, October 27-November 1, 2013, pp1509-1512.\n",
+    "Sun X., Li W.J., Meng F.Q. and Wang H.F., “Generalized Abbreviation Prediction with Negative Full Forms and Its Application on Improving Chinese Web Search”, in Proceedings of the 6th International Joint Conference on Natural Language Processing (IJCNLP’2013), Nagoya, Japan, October 14-18, 2013, pp641-647.\n",
+    "Gao D.H., Li W.J. and Zhang R.X., “Sequential Summarization: A New Application for Timely Updated Twitter Trending Topics”, in Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL’2013), Sofia, Bulgaria, August 4-9, 2013, pp pp641-647.\n",
+    "Li S.J., Li J.W., Song T. and Li W.J., “A Novel Topic Model for Automatic Term Extraction”, in Proceedings of the 36th Annual International ACM SIGIR Conference (SIGIR’2013), Dublin, Ireland, July 28-August 1, 2013, pp885-888.\n",
+    "Gao D.H., Wei F.R., Li W.J., Liu X.H. and Zhou M., “Co-training Based Bilingual Sentiment Lexicon Learning”, in Proceedings of the 27th AAAI Conference on Artificial Intelligence (AAAI’2013), Washington, USA, July 14-18, 2013, pp26-28.\n",
+    "Li S.J., Wang X., Li J.W. and Li W.J., “Implicit Discourse Relation Recognition by Selecting Typical Training Examples”, in Proceedings of the 24th International Conference on Computational Linguistics (COLING’12), Mumbai, India, December 8-15, 2012, pp2757-2772.\n",
+    "Gao D.H., Li W.J. and Zhang R.X., “Efficient Feedback-based Feature Learning for Blog Distillation as a Terabyte Challenge”, in Proceedings of the 24th International Conference on Computational Linguistics (COLING’12), Mumbai, India, December 8-15, 2012, pp147-154. \n",
+    "Gao D.H., Li W.J. and Zhang R.X., “Beyond Twitter Text: A Preliminary Study on Twitter Hyperlink and its Application”, in Proceedings of the 24th International Conference on Computational Linguistics (COLING’12), Mumbai, India, December 8-15, 2012, pp155-162. \n",
+    "Gao D.H., Li W.J., Zhang R.X., and Hou Y.X., “Twitter Hyperlink Recommendation with User-Tweet-Hyperlink Three-Way Clustering”, in Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM’2012), Maui Hawaii, USA, October 29 - November 2, 2012, pp2535-2538.\n",
+    "Zhang R.X., Li W.J. and Gao D.H., “Generating Coherent Summaries with Textual Aspects”, in Proceedings of the 26th Conference on Artificial Intelligence (AAAI’2012), Toronto, Canada, July 22-26, 2012, pp1727-1733.\n",
+    "Liu Y., Zhong S.H. and Li W.J., “Query-oriented Multi-Document Summarization via Unsupervised Deep Learning”, in Proceedings of the 26th Conference on Artificial Intelligence (AAAI’2012), Toronto, Canada, July 22-26, 2012, pp1699-1705.\n",
+    "Sun X., Wang H.F. and Li W.J., “Fast Online Training with Frequency-Adaptive Learning Rates for Chinese Word Segmentation and New Word Detection”, in Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL’2012), Jeju Island, Republic of Korea, July 8-14, 2012, pp253-262. \n",
+    "Gao D.H., Zhang R.X., Li W.J., Lau Y.K. and Wong K.F., “Learning Features through Feedback for Blog Distillation”, in Proceedings of the 34th Annual International ACM SIGIR Conference (SIGIR’2011), Beijing, China, July 24-28, 2011, pp1085-1086.\n",
+    "Tang J.T., Wang T., Wang J., Lu Q. and Li W.J., “A Bipartite Graph based Social Network Splicing method for Person Name Disambiguation”, in Proceedings of the 34th Annual International ACM SIGIR Conference (SIGIR’2011), Beijing, China, July 24-28, 2011, pp1233-1234.\n",
+    "Tang J.T., Wang T., Lu Q. Wang J., and Li W.J., “A Wikipedia Based Semantic Graph Model for Topic Tracking in Blogsphere”, in Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI’11), Barcelona, Spain, July 16-22, 2011, pp2337-2342.\n",
+    "Tang J.T., Wang T., Wang J., Lu Q. and Li W.J., “Using Complex Network Features for Fast Clustering in the Web”, in Proceedings of the 20th International World Wide Web Conference (WWW’11), India, March 28 - April 1, 2011, pp133-134. \n",
+    "Ouyang Y., Li W.J., Zhang R.X. and Lu Q., “A Study on Position Information in Document Summarization”, in Proceedings of the 23rd International Conference on Computational Linguistics (COLING’10), Beijing, China, August 23-27, 2010, pp919-927.\n",
+    "Zhang R.X., Li W.J. and Qin Lu, “Sentence Ordering with Event-Enriched Semantics and Two-Layered Clustering for Multi-Document News Summarization”, in Proceedings of the 23rd International Conference on Computational Linguistics (COLING’10), Beijing, China, August 23-27, 2010, pp1489-1497.\n",
+    "Cai X.Y., Li W.J. and Ouyang Y., “Simultaneous Ranking and Clustering of Sentences: An Reinforcement Approach to Multi-Document Summarization”, in Proceedings of the 23rd International Conference on Computational Linguistics (COLING’10), Beijing, China, August 23-27, 2010, pp134-142.\n",
+    "Li D.C., Li S.J., and Li W.J., “A Semi-Supervised Key Phrase Extraction Approach: Learning from Title Phrases through a Document Semantic Network”, in Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL’10), Uppsala, Sweden, July 11-16, 2010, pp296-300.\n",
+    "Wang W., Wei F.R., Li W.J. and Li, S.J., “HyperSum: A Hypergraph Based Semi-Supervised Sentence Ranking for Query-Oriented Summarization”, in Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM'09), Hong Kong, November 2-6, 2009, pp1855-1858.\n",
+    "Wei F.R., Li W.J., Wang W. and He Y.X., “iRANK: An Interactive Ranking Framework and Its Application in Query-Focused Summarization”, in Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM'09), Hong Kong, November 2-6, 2009, pp1557-1560.\n",
+    "Wei F.R., Li W.J. and He Y.X., “Co-feedback Ranking for Query-focused Summarization”, in Proceedings of the 47th Annual Meeting of the Association for Computational Linguistics (ACL’09), Singapore, July 3-5, 2009, pp117-120.\n",
+    "Ouyang Y., Li W.J. and Lu Q., “An Integrated Multi-Document Summarization Approach based on Word Hierarchical Representation”, in Proceedings of the 47th Annual Meeting of the Association for Computational Linguistics (ACL’09), Singapore, July 3-5, 2009, pp113-116.\n",
+    "Wong K.F., Wu M.L. and Li W.J., “Extractive Summarization Using Supervised and Semi-Supervised Learning”, in Proceedings of the 22nd International Conference on Computational Linguistics (COLING’08), Manchester, UK, August 18-22, 2008, pp985-992.\n",
+    "Wei F.R., Li W.J., Lu Q. and He Y.X., “PNR2: Ranking Sentences with Positive and Negative Reinforcement for Query-Oriented Update Summarization”, in Proceedings of the 22nd International Conference on Computational Linguistics (COLING’08), Manchester, UK, August 18-22, 2008, pp489-496. \n",
+    "Wei F.R., Li W.J., Lu Q. and He Y.X., “Query-Sensitive Mutual Reinforcement Chain and Its Application in Query-Oriented Multi-Document Summarization”, in Proceedings of the 31st Annual International ACM SIGIR Conference (SIGIR’08), Singapore, July 20-24, 2008, pp283-290. \n",
+    "Li W.J., Zhang P., Wei F.R., Hou Y.X. and Lu Q., “A Novel Feature-based Approach to Chinese Entity Relation Extraction”, in Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics (ACL’08), Columbus, Ohio, June 16-18, 2008, pp89-92.\n",
+    "Ouyang Y., Li S.J. and Li W.J., “Developing Learning Strategies for Topic-based Summarization”, in Proceedings of the ACM Sixteenth Conference on Information and Knowledge Management (CIKM’07), Lisboa, Portugal, November 6-9, 2007, pp79-86.\n",
+    "Li W.J., Qian D.L., Yuan C.F. and Lu Q., “Detecting, Categorizing and Clustering Entity Mentions in Chinese Text”, in Proceedings of the 30th Annual International ACM SIGIR Conference (SIGIR’07), Amsterdam, Netherlands, July 23-27, 2007, pp647-654.\n",
+    "Liu M.F., Li W.J., Wu M.L. and Lu Q., “Extractive Summarization Based on Event Term Clustering”, in Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (ACL’07), Prague, Czech Republic, June 23-30, 2007, pp185-188.\n",
+    "Li B.L., Li W.J. and Lu Q., “Enhancing Topic Tracking with Temporal Information”, in Proceedings of the 29th Annual International ACM SIGIR Conference (SIGIR’06), Seattle, USA, August 6-11, 2006, pp667-668.\n",
+    "Li W.J., Xu W., Wu M.L., Yuan C.F. and Lu Q., “Extractive Summarization using Inter- and Intra- Event Relevance”, in Proceedings of the 21st International Conference Computational Linguistics and 44th Annual Meeting of ACL (ACL/COLING’06), Sydney, Australia, July 17-21 2006, pp369-376.\n",
+    "Xia Y.Q., Wong K.F. and Li W.J., “A Phonetic-Based Approach to Chinese Chat Text Normalization”, in Proceedings of the 21st International Conference Computational Linguistics and 44th Annual Meeting of ACL (ACL/COLING’06), Sydney, Australia, July 17-21 2006, pp993-1000.\n",
+    "Li B.L., Li, W.J., Lu Q., “Profile-based Event Tracking”, in Proceedings of the 28th Annual International ACM SIGIR Conference (SIGIR’05), Salvador, Brazil, August 15-19, 2005, pp631-632.\n",
+    "Wu, H.C., Luk, Robert, Kwok, K.L., Wong, K.F. Li, W.J., “A Retrospective Study of Probabilistic Context-Based Retrieval”, in Proceedings of the 28th Annual International ACM SIGIR Conference (SIGIR’05), Salvador, Brazil, August 15-19, 2005, pp663-664.\n",
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+    "Li, W.J., Pan H.H., Zhou, M., Wong, K.F., and Lum, V., “Corpus-based Maximal-length Chinese Noun Phrase Extraction”, in Proceedings of Natural Language Processing Pacific Rim Symposium’95 (NLPRS’95), Seoul, Korea, December 4-7, 1995, pp246-251.\n",
+    "Li, W.J., Pan H.H., Zhou, M., Wong, K.F., and Lum, V., “Are statistics-based Approach Good Enough for NLP? - A Case Study of Maximal-length NP Extraction in Mandarin Chinese”, in Proceedings of 8th ROCLING, Taiwan, August 1995, pp137-153.\n",
+    "李文捷, 周明, 潘海華, 林耀燊, 黃錦輝, “基於語料庫的中文最長名詞短語的自動抽取”, in 計算語言學進展與應用, 1995, pp119-124.\n",
+    "林耀燊, 李文捷, 黃錦輝, “信息系統的自然語言處理”, in 中國系統工程學會第八屆年會論文集《复杂巨系统理论方法》, 1994, pp447-450.'''"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "books_lst = books.split('\\n')\n",
+    "books_lst = [(x, \"books\") for x in books_lst]\n",
+    "journal_lst = journal.split('\\n')\n",
+    "journal_lst = [(x, \"journal\") for x in journal_lst]\n",
+    "top_conf_lst = top_conf.split('\\n')\n",
+    "top_conf_lst = [(x, \"top_conf\") for x in top_conf_lst]\n",
+    "others_lst = others.split('\\n')\n",
+    "others_lst = [(x, \"others\") for x in others_lst]\n",
+    "total_lst = books_lst + top_conf_lst + journal_lst + others_lst"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "314"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(total_lst)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "tp_dict = {\"books\": '<span class=\"tag_book\">Book</span>', \n",
+    "        \"journal\": '<span class=\"tag_journal\">Journal</span>',\n",
+    "        \"top_conf\": '<span class=\"tag_conference\">Conference</span>',\n",
+    "        \"others\": '<span class=\"tag_others\">Others</span>'\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import re"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<div class=\"publication-item\">\n",
+      "    <div class=\"publication-bullet\">\n",
+      "        <span class=\"tag_conference\">Conference</span><span><b>Neighborhood Interaction Attention Network for Link Prediction</b></span>\n",
+      "    </div>\n",
+      "    <p><em>Wang Z.T., Lei Y. and <b>Li W.J.</b></em></p>\n",
+      "    <p>Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM’2019), Beijing, China, November 3-7, 2019, pp2153-2156.</p>\n",
+      "</div>\n",
+      "<div class=\"publication-item\">\n",
+      "    <div class=\"publication-bullet\">\n",
+      "        <span class=\"tag_conference\">Conference</span><span><b>Hierarchical Diffusion Attention Network</b></span>\n",
+      "    </div>\n",
+      "    <p><em>Wang Z.T and <b>Li W.J.</b></em></p>\n",
+      "    <p>Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI’2019), Macao, China, August 10-16, 2019, pp3828-3834.</p>\n",
+      "</div>\n",
+      "<div class=\"publication-item\">\n",
+      "    <div class=\"publication-bullet\">\n",
+      "        <span class=\"tag_conference\">Conference</span><span><b>Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization</b></span>\n",
+      "    </div>\n",
+      "    <p><em>Wang H.W., Zhang F.Z., Zhang M.D., Leskovec J., Zhao M., <b>Li W.J.</b> and Wang Z.Y.</em></p>\n",
+      "    <p>Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’2019), Alaska, USA, August 4-8, 2019, pp968-977.</p>\n",
+      "</div>\n",
+      "<div class=\"publication-item\">\n",
+      "    <div class=\"publication-bullet\">\n",
+      "        <span class=\"tag_conference\">Conference</span><span><b>Jointly Learning Semantic Parser and Generator via Dual Information Maximization</b></span>\n",
+      "    </div>\n",
+      "    <p><em>Ye H., <b>Li W.J.</b> and Wang L.</em></p>\n",
+      "    <p>Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL’2019), Florence, Italy, July 28-August 2, 2019, pp2090-2101.</p>\n",
+      "</div>\n",
+      "<div class=\"publication-item\">\n",
+      "    <div class=\"publication-bullet\">\n",
+      "        <span class=\"tag_conference\">Conference</span><span><b>Social Attentive Deep Q-network for Recommendation</b></span>\n",
+      "    </div>\n",
+      "    <p><em>Lei Y., Wang Z.T., <b>Li W.J.</b> and Pei H.B.</em></p>\n",
+      "    <p>Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’2019), Paris, France, July 21-25, 2019, pp1189-1192.</p>\n",
+      "</div>\n",
+      "<div class=\"publication-item\">\n",
+      "    <div class=\"publication-bullet\">\n",
+      "        <span class=\"tag_conference\">Conference</span><span><b>Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation</b></span>\n",
+      "    </div>\n",
+      "    <p><em>Wang H.W., Zhang F.Z., Zhao M., <b>Li W.J.</b>, Xie X. and Guo M.Y.</em></p>\n",
+      "    <p>Proceedings of the Web Conference 2019 (WWW’2019), San Francisco, CA, USA, May 13-17, 2019, pp2000-2010.</p>\n",
+      "</div>\n",
+      "<div class=\"publication-item\">\n",
+      "    <div class=\"publication-bullet\">\n",
+      "        <span class=\"tag_conference\">Conference</span><span><b>Knowledge Graph Convolutional Networks for Recommender Systems</b></span>\n",
+      "    </div>\n",
+      "    <p><em>Wang H.W., Zhao M., Xie X., <b>Li W.J.</b> and Guo M.Y.</em></p>\n",
+      "    <p>Proceedings of Web Conference 2019 (WWW’2019), San Francisco, CA, USA, May 13-17, 2019, pp3307-3313.</p>\n",
+      "</div>\n",
+      "<div class=\"publication-item\">\n",
+      "    <div class=\"publication-bullet\">\n",
+      "        <span class=\"tag_conference\">Conference</span><span><b>Meta-path Augmented Response Generation</b></span>\n",
+      "    </div>\n",
+      "    <p><em>Li Y.R. and <b>Li W.J.</b></em></p>\n",
+      "    <p>Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI’2019), Hawaii, USA, January 27-February 1, 2019. (Student Abstract).</p>\n",
+      "</div>\n",
+      "<div class=\"publication-item\">\n",
+      "    <div class=\"publication-bullet\">\n",
+      "        <span class=\"tag_journal\">Journal</span><span><b>Interactive Recommendation with User-specific Deep Reinforcement Learning</b></span>\n",
+      "    </div>\n",
+      "    <p><em>Lei Yu and <b>Li W.J.</b></em></p>\n",
+      "    <p>ACM Transactions on Knowledge Discovery from Data, 13(6), No. 31, October 2019.</p>\n",
+      "</div>\n",
+      "<div class=\"publication-item\">\n",
+      "    <div class=\"publication-bullet\">\n",
+      "        <span class=\"tag_journal\">Journal</span><span><b>Information Diffusion Prediction with Network Regularized Role-based User Representation Learning</b></span>\n",
+      "    </div>\n",
+      "    <p><em>Wang Z.T., Chen C.Y. and <b>Li W.J.</b></em></p>\n",
+      "    <p>ACM Transactions on Knowledge Discovery from Data, 13(3), No. 29, June, 2019.</p>\n",
+      "</div>\n",
+      "<div class=\"publication-item\">\n",
+      "    <div class=\"publication-bullet\">\n",
+      "        <span class=\"tag_journal\">Journal</span><span><b>Exploring High-Order User Preference on the Knowledge Graph for Recommender Systems</b></span>\n",
+      "    </div>\n",
+      "    <p><em>Wang H.W., Wang, J.L., Zhao M., <b>Li W.J.</b>, Xie X and Guo M.Y.</em></p>\n",
+      "    <p>ACM Transactions on Information Systems, 37(3), No. 32, March, 2019.</p>\n",
+      "</div>\n",
+      "<div class=\"publication-item\">\n",
+      "    <div class=\"publication-bullet\">\n",
+      "        <span class=\"tag_journal\">Journal</span><span><b>An Evolutionary Context-aware Sequential Model for Topic Evolution of Text Stream</b></span>\n",
+      "    </div>\n",
+      "    <p><em>Lu Z.Y., Tan H.H. and <b>Li W.J.</b></em></p>\n",
+      "    <p>Information Sciences, 473:166-177, January 2019.</p>\n",
+      "</div>\n"
+     ]
+    }
+   ],
+   "source": [
+    "for item in total_lst:\n",
+    "    x = item[0]\n",
+    "    if \"2019\" in x and \"CIKM’2017\" not in x:\n",
+    "\n",
+    "        author = x.split(\", “\")[0]\n",
+    "        tmp = x.split(\", “\")[1].split(\"”, \")\n",
+    "        title, pub = tmp[0], tmp[1]\n",
+    "        pub = pub.strip(\"accepted by \").strip(\"in \")\n",
+    "        tp = tp_dict[item[1]]\n",
+    "\n",
+    "        if \"Li W.J.\" in author:\n",
+    "            author = author.replace(\"Li W.J.\", \"<b>Li W.J.</b>\")\n",
+    "        if \"Li. W.J.\" in author:\n",
+    "            author = author.replace(\"Li. W.J.\", \"<b>Li W.J.</b>\")\n",
+    "        if \"Li, W.J.\" in author:\n",
+    "            author = author.replace(\"Li, W.J.\", \"<b>Li W.J.</b>\")\n",
+    "\n",
+    "        template = f'''<div class=\"publication-item\">\n",
+    "    <div class=\"publication-bullet\">\n",
+    "        {tp}<span><b>{title}</b></span>\n",
+    "    </div>\n",
+    "    <p><em>{author}</em></p>\n",
+    "    <p>{pub}</p>\n",
+    "</div>'''\n",
+    "\n",
+    "        print(template)\n",
+    "\n",
+    "        # print(x)\n",
+    "        # print(\"title:\", title)\n",
+    "        # print(\"author:\", author)\n",
+    "        # print(\"pub:\", pub.strip(\"accepted by \").strip(\"in \"))\n",
+    "        # print(\"tp:\", item[1])\n",
+    "        # print()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x = '''Knowledge Fusion and Knowledge Reasoning in Human-Machine Conversation (自然语言人机交互中的知识融合及知识推理研究), (NSFC 2020, 62076212, 2021-2024)\n",
+    "\n",
+    "New Generative Summarization Models based on Deep Neural Network Learning (基于深度学习的新型生成式摘要模型研究), (NSFC 2016, 61672445, 2017-2020)\n",
+    "\n",
+    "Content-Oriented Microblog Mining Based on Speech Act Recognition (基于用户言语行为的微博内容挖掘研究), (NSFC 2012, 61272291, 2013-2016)'''"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x = x.split(\"\\n\\n\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<li class=\"list\">Knowledge Fusion and Knowledge Reasoning in Human-Machine Conversation (自然语言人机交互中的知识融合及知识推理研究), (NSFC 2020, 62076212, 2021-2024)</li>\n",
+      "<li class=\"list\">New Generative Summarization Models based on Deep Neural Network Learning (基于深度学习的新型生成式摘要模型研究), (NSFC 2016, 61672445, 2017-2020)</li>\n",
+      "<li class=\"list\">Content-Oriented Microblog Mining Based on Speech Act Recognition (基于用户言语行为的微博内容挖掘研究), (NSFC 2012, 61272291, 2013-2016)</li>\n"
+     ]
+    }
+   ],
+   "source": [
+    "for xx in x:\n",
+    "    print(f'<li class=\"list\">{xx}</li>')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/publications.html b/publications.html
index dbb595b..b6bdd4e 100644
--- a/publications.html
+++ b/publications.html
@@ -479,6 +479,96 @@ <h2>2020</h2>
                 <p>Proceedings of TREC’2020.</p>
             </div>                      
         </div>
+
+
+        <div class="publications">
+            <h2>2019</h2>
+            <div class="publication-item">
+                <div class="publication-bullet">
+                    <span class="tag_conference">Conference</span><span><b>Neighborhood Interaction Attention Network for Link Prediction</b></span>
+                </div>
+                <p><em>Wang Z.T., Lei Y. and <b>Li W.J.</b></em></p>
+                <p>Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM’2019), Beijing, China, November 3-7, 2019, pp2153-2156.</p>
+            </div>
+            <div class="publication-item">
+                <div class="publication-bullet">
+                    <span class="tag_conference">Conference</span><span><b>Hierarchical Diffusion Attention Network</b></span>
+                </div>
+                <p><em>Wang Z.T and <b>Li W.J.</b></em></p>
+                <p>Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI’2019), Macao, China, August 10-16, 2019, pp3828-3834.</p>
+            </div>
+            <div class="publication-item">
+                <div class="publication-bullet">
+                    <span class="tag_conference">Conference</span><span><b>Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization</b></span>
+                </div>
+                <p><em>Wang H.W., Zhang F.Z., Zhang M.D., Leskovec J., Zhao M., <b>Li W.J.</b> and Wang Z.Y.</em></p>
+                <p>Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’2019), Alaska, USA, August 4-8, 2019, pp968-977.</p>
+            </div>
+            <div class="publication-item">
+                <div class="publication-bullet">
+                    <span class="tag_conference">Conference</span><span><b>Jointly Learning Semantic Parser and Generator via Dual Information Maximization</b></span>
+                </div>
+                <p><em>Ye H., <b>Li W.J.</b> and Wang L.</em></p>
+                <p>Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL’2019), Florence, Italy, July 28-August 2, 2019, pp2090-2101.</p>
+            </div>
+            <div class="publication-item">
+                <div class="publication-bullet">
+                    <span class="tag_conference">Conference</span><span><b>Social Attentive Deep Q-network for Recommendation</b></span>
+                </div>
+                <p><em>Lei Y., Wang Z.T., <b>Li W.J.</b> and Pei H.B.</em></p>
+                <p>Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’2019), Paris, France, July 21-25, 2019, pp1189-1192.</p>
+            </div>
+            <div class="publication-item">
+                <div class="publication-bullet">
+                    <span class="tag_conference">Conference</span><span><b>Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation</b></span>
+                </div>
+                <p><em>Wang H.W., Zhang F.Z., Zhao M., <b>Li W.J.</b>, Xie X. and Guo M.Y.</em></p>
+                <p>Proceedings of the Web Conference 2019 (WWW’2019), San Francisco, CA, USA, May 13-17, 2019, pp2000-2010.</p>
+            </div>
+            <div class="publication-item">
+                <div class="publication-bullet">
+                    <span class="tag_conference">Conference</span><span><b>Knowledge Graph Convolutional Networks for Recommender Systems</b></span>
+                </div>
+                <p><em>Wang H.W., Zhao M., Xie X., <b>Li W.J.</b> and Guo M.Y.</em></p>
+                <p>Proceedings of Web Conference 2019 (WWW’2019), San Francisco, CA, USA, May 13-17, 2019, pp3307-3313.</p>
+            </div>
+            <div class="publication-item">
+                <div class="publication-bullet">
+                    <span class="tag_conference">Conference</span><span><b>Meta-path Augmented Response Generation</b></span>
+                </div>
+                <p><em>Li Y.R. and <b>Li W.J.</b></em></p>
+                <p>Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI’2019), Hawaii, USA, January 27-February 1, 2019. (Student Abstract).</p>
+            </div>
+            <div class="publication-item">
+                <div class="publication-bullet">
+                    <span class="tag_journal">Journal</span><span><b>Interactive Recommendation with User-specific Deep Reinforcement Learning</b></span>
+                </div>
+                <p><em>Lei Yu and <b>Li W.J.</b></em></p>
+                <p>ACM Transactions on Knowledge Discovery from Data, 13(6), No. 31, October 2019.</p>
+            </div>
+            <div class="publication-item">
+                <div class="publication-bullet">
+                    <span class="tag_journal">Journal</span><span><b>Information Diffusion Prediction with Network Regularized Role-based User Representation Learning</b></span>
+                </div>
+                <p><em>Wang Z.T., Chen C.Y. and <b>Li W.J.</b></em></p>
+                <p>ACM Transactions on Knowledge Discovery from Data, 13(3), No. 29, June, 2019.</p>
+            </div>
+            <div class="publication-item">
+                <div class="publication-bullet">
+                    <span class="tag_journal">Journal</span><span><b>Exploring High-Order User Preference on the Knowledge Graph for Recommender Systems</b></span>
+                </div>
+                <p><em>Wang H.W., Wang, J.L., Zhao M., <b>Li W.J.</b>, Xie X and Guo M.Y.</em></p>
+                <p>ACM Transactions on Information Systems, 37(3), No. 32, March, 2019.</p>
+            </div>
+            <div class="publication-item">
+                <div class="publication-bullet">
+                    <span class="tag_journal">Journal</span><span><b>An Evolutionary Context-aware Sequential Model for Topic Evolution of Text Stream</b></span>
+                </div>
+                <p><em>Lu Z.Y., Tan H.H. and <b>Li W.J.</b></em></p>
+                <p>Information Sciences, 473:166-177, January 2019.</p>
+            </div>            
+        </div>
+
     </div>
     
     <footer>