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Jindong Han

Adversarial Transfer Learning for Deep Learning Based Automatic Modulation Classification
2020 · Ke Bu, Yuan He, et al. · IEEE Signal Processing Letters · 166
Semi-Supervised Air Quality Forecasting via Self-Supervised Hierarchical Graph Neural Network
2022 · Jindong Han, Hao Liu, et al. · IEEE Transactions on Knowledge and Data Engineering · 113
BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks
2024 · Jindong Han, Weijia Zhang, et al. · Proceedings of the VLDB Endowment · 93
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks
2021 · Jindong Han, Hao Liu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 76
Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation
2020 · Hao Liu, Yongxin Tong, et al. · IEEE Transactions on Knowledge and Data Engineering · 75
Multi-modal transportation recommendation with unified route representation learning
2020 · Hao Liu, Jindong Han, et al. · Proceedings of the VLDB Endowment · 65
Urban Foundation Models: A Survey
2024 · Weijia Zhang, Jindong Han, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 45
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Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing
2022 · Weijia Zhang, Hao Liu, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 41
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks
2024 · Weijia Zhang, Le Zhang, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 32
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Kill Two Birds With One Stone: A Multi-View Multi-Adversarial Learning Approach for Joint Air Quality and Weather Prediction
2023 · Jindong Han, Hao Liu, et al. · IEEE Transactions on Knowledge and Data Engineering · 32
Unified route representation learning for multi-modal transportation recommendation with spatiotemporal pre-training
2022 · Hao Liu, Jindong Han, et al. · The VLDB Journal · 32
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HAR-Net: Fusing Deep Representation and Hand-Crafted Features for Human Activity Recognition
2019 · Mingtao Dong, Jindong Han, et al. · Lecture notes in electrical engineering · 29
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Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
2026 · Weijia Zhang, Jindong Han, et al. · ACM Transactions on Intelligent Systems and Technology · 28
Semantic-fused multi-granularity cross-city traffic prediction
2024 · Kehua Chen, Yuxuan Liang, et al. · Transportation Research Part C Emerging Technologies · 25
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Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction
2024 · Wenzhao Jiang, Jindong Han, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 23
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GraphConvLSTM: Spatiotemporal Learning for Activity Recognition with Wearable Sensors
2019 · Jindong Han, Yuan He, et al. · Globecom · 19
iETA: A Robust and Scalable Incremental Learning Framework for Time-of-Arrival Estimation
2023 · Jindong Han, Hao Liu, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 18
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Machine Learning for Urban Air Quality Analytics: A Survey
2023 · Han, Jindong, Zhang, Weijia, et al. · arXiv (Cornell University) · 17
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GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning
2025 · Zhe-Rui Yang, Jindong Han, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 16
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Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications
2025 · Han, Jindong, Ning, Yansong, et al. · arXiv (Cornell University) · 11
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SDE: A Simplified and Disentangled Dependency Encoding Framework for State Space Models in Time Series Forecasting
2025 · Zixuan Weng, Jindong Han, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 10
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Erase Then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning
2025 · Zhe-Rui Yang, Jindong Han, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 7
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Region-Aware Hierarchical Graph Contrastive Learning for Ride-Hailing Driver Profiling
2023 · Kehua Chen, Jindong Han, et al. · Transportation Research Part C Emerging Technologies · 7
RePST: Language Model Empowered Spatio-Temporal Forecasting via Semantic-Oriented Reprogramming
2025 · Hao Wang, Jindong Han, et al. · International Joint Conference on Artificial Intelligence · 6
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PhyDA: Physics-Guided Diffusion Models for Data Assimilation in Atmospheric Systems
2025 · Wang, Hao, Han, Jindong, et al. · arXiv (Cornell University) · 5
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Works count: 52
Citation count: 1,011
H-index: 17
I10-index: 21
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