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WWW (2016-2024)

---2024---

  1. Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection. https://dl.acm.org/doi/abs/10.1145/3589334.3645556

  2. COLA: Cross-city Mobility Transformer for Human Trajectory Simulation. https://dl.acm.org/doi/abs/10.1145/3589334.3645469

  3. Dynamic Multi-Network Mining of Tensor Time Series. https://dl.acm.org/doi/abs/10.1145/3589334.3645461

  4. Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation. https://dl.acm.org/doi/abs/10.1145/3589334.3645696

  5. E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series. https://dl.acm.org/doi/abs/10.1145/3589334.3645593

  6. Exploiting Spatial-Temporal Data in Knowledge Graphs for Enhanced Prediction. https://openreview.net/forum?id=W4eUGlCn23

  7. More Than Routing: Joint GPS and Route Modeling for Refine Trajectory Representation Learning. https://dl.acm.org/doi/abs/10.1145/3589334.3645644

  8. MMPOI: A Multi-Modal Content-Aware Framework for POI Recommendations. https://dl.acm.org/doi/abs/10.1145/3589334.3645449

  9. Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation. https://arxiv.org/abs/2401.14583

  10. Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective. https://arxiv.org/abs/2402.02820

  11. UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting. https://arxiv.org/abs/2310.09751

  12. Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations. https://arxiv.org/abs/2402.01231

  13. UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web. https://arxiv.org/abs/2310.18340

---2023---

  1. Automated Spatio-Temporal Graph Contrastive Learning. 295-305. Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Zhonghang Li, Siu-Ming Yiu.
  2. FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification. 1437-1445. Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen.
  3. INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging. 673-683. Chuanpan Zheng, Xiaoliang Fan, Cheng Wang, Jianzhong Qi, Chaochao Chen, Longbiao Chen.
  4. Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction. 4150-4160. Yu Liu, Xin Zhang, Jingtao Ding, Yanxin Xi, Yong Li.
  5. TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification. 2066-2075. Haozhen Zhang, Le Yu, Xi Xiao, Qing Li, Francesco Mercaldo, Xiapu Luo, Qixu Liu.

---2022---

Element-guided Temporal Graph Representation Learning for Temporal Sets Prediction. WWW 2022. [paper]

Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction. WWW 2022. [paper]

A Semi-Supervised VAE Based Active Anomaly Detection Framework in Multivariate Time Series for Online Systems. WWW 2022. [paper]

CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting. WWW 2022. [paper]

EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting. WWW 2022. [paper]

Socially-Equitable Interactive Graph Information Fusion-based Prediction for Urban Dockless E-Scooter Sharing. WWW 2022. [paper]

STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation. WWW 2022. [paper]

Knowledge-based Temporal Fusion Network for Interpretable Online Video Popularity Prediction. WWW 2022. [paper]

---2021---

Network of Tensor Time Series. WWW 2021. [paper]

Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series. WWW 2021. [paper

SRVAR: Joint Discrete Hidden State Discovery and Structure Learning from Time Series Data. WWW 2021. [paper]

Time-series Change Point Detection with Self-Supervised Contrastive Predictive Coding. WWW 2021. [paper]

AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph. WWW 2021. [paper]

DeepFEC: Energy Consumption Prediction under Real-World Driving Conditions for Smart Cities. WWW 2021. [paper]

DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior. WWW 2021. [paper]

Fine-Grained Urban Flow Prediction. WWW 2021. [paper]

REST: Reciprocal Framework for Spatiotemporal-coupled Predictions. WWW 2021. [paper]

STUaNet: Understanding Uncertainty in Spatiotemporal Collective Human Mobility. WWW 2021. [paper]

STAN: Spatio-Temporal Attention Network for Next Location Recommendation. WWW 2021. [paper]

Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching. WWW 2021. [paper]

Joint Spatio-Textual Reasoning for Answering Tourism Questions. WWW 2021. [paper]

Sketch-based Algorithms for Approximate Shortest Paths in Road Networks. WWW 2021. [paper]

---2020---

A Multi-task Learning Framework for Road Attribute Updating via Joint Analysis of Map Data and GPS Traces. Yifang Yin, Jagannadan Varadarajan, Guanfeng Wang, Xueou Wang, Dhruva Sahrawat, Roger Zimmermann, See-Kiong Ng. WWW 2020. [paper]

Customizing Your Own Route with QQIP. A Quantitative and Qualitative Itinerary Planner for New Transportation Routes. Fandel Lin, Jie-Yu Fang, Hsun-Ping Hsieh. WWW 2020. [paper]

Dynamic Flow Distribution Prediction for Urban Dockless E-Scooter Sharing Reconfiguration. Suining He, Kang G. Shin. WWW 2020. [paper]

Hierarchically Structured Transformer Networks for Fine-Grained Spatial Event Forecasting. Xian Wu, Chao Huang, Chuxu Zhang, Nitesh V. Chawla. WWW 2020. [paper]

Traffic Flow Prediction via Spatial Temporal Graph Neural Network. Xiaoyang Wang, Yao Ma, Yiqi Wang, Wei Jin, Xin Wang, Jiliang Tang, Caiyan Jia, Jian Yu. WWW 2020. [paper]

---2019---

BaG: Behavior-aware Group Detection in Crowded Urban Spaces using WiFi Probes. Jiaxing Shen, Jiannong Cao, Xuefeng Liu: WWW 2019. [paper]

Beyond Shortest Paths: Route Recommendations for Ride-sharing. Chak Fai Yuen, Abhishek Pratap Singh, Sagar Goyal, Sayan Ranu, Amitabha Bagchi. WWW 2019. [paper]

Context-aware Variational Trajectory Encoding and Human. Fan Zhou, Xiaoli Yue, Goce Trajcevski, Ting Zhong, Kunpeng Zhang. WWW 2019. [paper]

Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference. Xianfeng Tang, Boqing Gong, Yanwei Yu, Huaxiu Yao, Yandong Li, Haiyong Xie, Xiaoyu Wang. WWW 2019. [paper]

Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction. Huaxiu Yao, Yiding Liu, Ying Wei, Xianfeng Tang, Zhenhui Li. WWW 2019. [paper]

MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting. Chao Huang, Chuxu Zhang, Jiashu Zhao, Xian Wu, Nitesh V. Chawla, Dawei Yin. WWW 2019. [paper]

Spatio-Temporal Capsule-based Reinforcement Learning for Mobility-on-Demand Network Coordination. Suining He, Kang G. Shin. WWW 2019. [paper]

---2017---

PaRE: A System for Personalized Route Guidance. Yaguang Li, Han Su, Ugur Demiryurek, Bolong Zheng, Tieke He, Cyrus Shahabi. WWW 2017. [paper]

Regions, Periods, Activities: Uncovering Urban Dynamics via Cross-Modal Representation Learning. Chao Zhang, Keyang Zhang, Quan Yuan, Haoruo Peng, Yu Zheng, Tim Hanratty, Shaowen Wang, Jiawei Han. WWW 2017. [paper]

---2016---

TribeFlow: Mining & Predicting User Trajectories. Flavio Figueiredo, Bruno Ribeiro, Jussara M. Almeida, Christos Faloutsos. WWW 2016. [paper]