Publications

1. Scalable Pre-Training of Compact Urban Spatio-Temporal Predictive Models on Large-Scale Multi-Domain Data
   Jindong Han, Hao Wang, Hui Xiong, Hao Liu
   International Conference on Very Large Data Bases (VLDB), 2025

2. Automatic Instruction Data Selection for Large Language Models via Uncertainty-Aware Influence Maximization
   Jindong Han, Hao Liu, Jun Fang, Naiqiang Tan, Hui Xiong
   The ACM Web Conference (WWW), 2025

3. Erase then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning
   Zhe-Rui Yang, Jindong Han, Chang-Dong Wang, Hao Liu
   Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI), 2025

4. GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning
   Zhe-Rui Yang, Jindong Han, Chang-Dong Wang, Hao Liu
   ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025

5. Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction
   Wenzhao Jiang, Jindong Han, Hao Liu, Tao Tao, Naiqiang Tan, Hui Xiong
   ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024

6. Urban Foundation Models: A Survey
   Weijia Zhang, Jindong Han, Zhao Xu, Hang Ni, Hao Liu, Hui Xiong
   ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024

7. Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks
   Weijia Zhang, Le Zhang, Jindong Han, Hao Liu, Yanjie Fu, Jingbo Zhou, Yu Mei, Hui Xiong
   ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024

8. BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks
   Jindong Han, Weijia Zhang, Hao Liu, Tao Tao, Naiqiang Tan, Hui Xiong
   International Conference on Very Large Data Bases (VLDB), 2024

9. Semantic-Fused Multi-Granularity Cross-City Traffic Prediction
   Kehua Chen, Yuxuan Liang, Jindong Han, Siyuan Feng, Meixin Zhu, Hai Yang
   Transportation Research Part C: Emerging Technologies, 2024

10. iETA: A Robust and Scalable Incremental Learning Framework for Time-of-Arrival Estimation
    Jindong Han, Hao Liu, Shui Liu, Xi Chen, Naiqiang Tan, Hua Chai, Hui Xiong
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023

11. Kill Two Birds with One Stone: A Multi-View Multi-Adversarial Learning Approach for Joint Air Quality and Weather Prediction
    Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023

12. Region-Aware Hierarchical Graph Contrastive Learning for Ride-Hailing Driver Profiling
    Kehua Chen, Jindong Han, Siyuan Feng, Meixin Zhu, Hai Yang
    Transportation Research Part C: Emerging Technologies, 2023

13. Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing
    Weijia Zhang, Hao Liu, Jindong Han, Yong Ge, Hui Xiong
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022

14. Semi-Supervised Air Quality Forecasting via Self-Supervised Hierarchical Graph Neural Network
    Jindong Han, Hao Liu, Haoyi Xiong, Jing Yang
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022

15. Unified Route Representation Learning for Multi-Modal Transportation Recommendation with Spatiotemporal Pre-Training
    Hao Liu, Jindong Han, Yanjie Fu, Yanyan Li, Kai Chen, Hui Xiong
    The VLDB Journal (VLDBJ), 2022

16. Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks
    Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou
    AAAI Conference on Artificial Intelligence (AAAI), 2021

17. Multi-Modal Transportation Recommendation with Unified Route Representation Learning
    Hao Liu, Jindong Han, Yanjie Fu, Jingbo Zhou, Xinjiang Lu, Hui Xiong
    International Conference on Very Large Data Bases (VLDB), 2021

18. Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation
    Hao Liu, Yongxin Tong, Jindong Han, Panpan Zhang, Xinjiang Lu, Hui Xiong
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020

19. Adversarial Transfer Learning for Deep Learning Based Automatic Modulation Classification
    Ke Bu, Yuan He, Xiaojun Jing, Jindong Han
    IEEE Signal Processing Letters, 2020

20. GraphConvLSTM: Spatiotemporal Learning for Activity Recognition with Wearable Sensors
    Jindong Han, Yuan He, Juan Liu, Qianqian Zhang, Xiaojun Jing
    IEEE Global Communications Conference (Globecom), 2019