HAR-Net: Fusing Deep Representation and Hand-crafted Features for Human Activity Recognition. - Mingtao Dong; Jindong Han (CoRR, 2018)

GraphConvLSTM: Spatiotemporal Learning for Activity Recognition with Wearable Sensors. - Jindong Han; Yuan He 009; Juan Liu; Qianqian Zhang; Xiaojun Jing (GLOBECOM, 2019)

Multi-Modal Transportation Recommendation with Unified Route Representation Learning. - Hao Liu 026; Jindong Han; Yanjie Fu; Jingbo Zhou; Xinjiang Lu; Hui Xiong 001 (Proc. VLDB Endow., 2020)

Adversarial Transfer Learning for Deep Learning Based Automatic Modulation Classification. - Ke Bu; Yuan He 009; Xiaojun Jing; Jindong Han (IEEE Signal Process. Lett., 2020)

Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks. - Jindong Han; Hao Liu 026; Hengshu Zhu; Hui Xiong 001; Dejing Dou (AAAI, 2021)

Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing. - Weijia Zhang 003; Hao Liu 026; Jindong Han; Yong Ge; Hui Xiong 001 (KDD, 2022)

Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation. - Hao Liu 026; Yongxin Tong; Jindong Han; Panpan Zhang; Xinjiang Lu; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2022)

iETA: A Robust and Scalable Incremental Learning Framework for Time-of-Arrival Estimation. - Jindong Han; Hao Liu 026; Shui Liu; Xi Chen 080; Naiqiang Tan; Hua Chai; Hui Xiong 001 (KDD, 2023)

Cross-City Traffic Prediction via Semantic-Fused Hierarchical Graph Transfer Learning. - Kehua Chen; Jindong Han; Siyuan Feng; Hai Yang 003 (CoRR, 2023)

Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network. - Weijia Zhang 003; Le Zhang 010; Jindong Han; Hao Liu 026; Jingbo Zhou; Yu Mei; Hui Xiong 001 (CoRR, 2023)

Machine Learning for Urban Air Quality Analytics: A Survey. - Jindong Han; Weijia Zhang 003; Hao Liu 026; Hui Xiong 001 (CoRR, 2023)

Unified route representation learning for multi-modal transportation recommendation with spatiotemporal pre-training. - Hao Liu 026; Jindong Han; Yanjie Fu; Yanyan Li; Kai Chen 005; Hui Xiong 001 (VLDB J., 2023)

Semi-Supervised Air Quality Forecasting via Self-Supervised Hierarchical Graph Neural Network. - Jindong Han; Hao Liu 026; Haoyi Xiong; Jing Yang 014 (IEEE Trans. Knowl. Data Eng., 2023)

Kill Two Birds With One Stone: A Multi-View Multi-Adversarial Learning Approach for Joint Air Quality and Weather Prediction. - Jindong Han; Hao Liu 026; Hengshu Zhu; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2023)

Urban Foundation Models: A Survey. - Weijia Zhang 003; Jindong Han; Zhao Xu 006; Hang Ni; Hao Liu 026; Hui Xiong 001 (KDD, 2024)

Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks. - Weijia Zhang 003; Le Zhang 010; Jindong Han; Hao Liu 026; Yanjie Fu; Jingbo Zhou; Yu Mei; Hui Xiong 001 (KDD, 2024)

Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction. - Wenzhao Jiang; Jindong Han; Hao Liu 026; Tao Tao; Naiqiang Tan; Hui Xiong 001 (KDD, 2024)

Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models. - Weijia Zhang 003; Jindong Han; Zhao Xu 006; Hang Ni; Hao Liu 026; Hui Xiong 001 (CoRR, 2024)

Simplified Mamba with Disentangled Dependency Encoding for Long-Term Time Series Forecasting. - Zixuan Weng; Jindong Han; Wenzhao Jiang; Hao Liu 026 (CoRR, 2024)

Empowering Pre-Trained Language Models for Spatio-Temporal Forecasting via Decoupling Enhanced Discrete Reprogramming. - Hao Wang 073; Jindong Han; Wei Fan 010; Hao Liu 026 (CoRR, 2024)

Spatial-Temporal Mixture-of-Graph-Experts for Multi-Type Crime Prediction. - Ziyang Wu; Fan Liu; Jindong Han; Yuxuan Liang; Hao Liu 026 (CoRR, 2024)

Meta-Transfer Learning Empowered Temporal Graph Networks for Cross-City Real Estate Appraisal. - Weijia Zhang 003; Jindong Han; Hao Liu 026; Wei Fan 010; Hao Wang 073; Hui Xiong 001 (CoRR, 2024)

A Prompt-Guided Spatio-Temporal Transformer Model for National-Wide Nuclear Radiation Forecasting. - Tengfei Lyu; Jindong Han; Hao Liu 026 (CoRR, 2024)

BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks. - Jindong Han; Weijia Zhang 003; Hao Liu 026; Tao Tao; Naiqiang Tan; Hui Xiong 001 (Proc. VLDB Endow., 2024)

Erase Then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning. - Zhe-Rui Yang; Jindong Han; Chang-Dong Wang 001; Hao Liu 026 (AAAI, 2025)

GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning. - Zhe-Rui Yang; Jindong Han; Chang-Dong Wang 001; Hao Liu 026 (KDD (1), 2025)

Automatic Instruction Data Selection for Large Language Models via Uncertainty-Aware Influence Maximization. - Jindong Han; Hao Liu 026; Jun Fang; Naiqiang Tan; Hui Xiong 001 (WWW, 2025)

Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning. - Hang Ni; Jindong Han; Nengjun Zhu; Hao Liu 026 (CoRR, 2025)

Scalable Pre-Training of Compact Urban Spatio-Temporal Predictive Models on Large-Scale Multi-Domain Data. - Jindong Han; Hao Wang 073; Hui Xiong 001; Hao Liu 026 (Proc. VLDB Endow., 2025)

PhyDA: Physics-Guided Diffusion Models for Data Assimilation in Atmospheric Systems. - Hao Wang 073; Jindong Han; Wei Fan 010; Weijia Zhang 003; Hao Liu 026 (CoRR, 2025)

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications. - Jindong Han; Yansong Ning; Zirui Yuan; Hang Ni; Fan Liu; Tengfei Lyu; Hao Liu 026 (CoRR, 2025)