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ORCIDJindong Han
Person information
- affiliation: Hong Kong University of Science and Technology, China
- affiliation (former): Baidu Research, Beijing, China
- affiliation (former): Beijing University of Posts and Telecommunications, China
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2020 – today
- 2024
[j7]Jindong Han, Weijia Zhang, Hao Liu, Tao Tao, Naiqiang Tan, Hui Xiong:
BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks. Proc. VLDB Endow. 17(5): 1081-1090 (2024)- [c7]Weijia Zhang
, Le Zhang, Jindong Han, Hao Liu, Yanjie Fu, Jingbo Zhou, Yu Mei, Hui Xiong:
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks. KDD 2024: 4302-4313 - [c6]Wenzhao Jiang, Jindong Han, Hao Liu, Tao Tao, Naiqiang Tan, Hui Xiong:
Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction. KDD 2024: 5206-5217 - [c5]Weijia Zhang, Jindong Han, Zhao Xu, Hang Ni, Hao Liu, Hui Xiong:
Urban Foundation Models: A Survey. KDD 2024: 6633-6643 - [i14]Weijia Zhang, Jindong Han, Zhao Xu, Hang Ni, Hao Liu, Hui Xiong:
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models. CoRR abs/2402.01749 (2024) - [i13]Wenzhao Jiang, Jindong Han, Hao Liu, Tao Tao, Naiqiang Tan, Hui Xiong:
Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction. CoRR abs/2406.12923 (2024) - [i12]Zixuan Weng, Jindong Han, Wenzhao Jiang, Hao Liu:
Simplified Mamba with Disentangled Dependency Encoding for Long-Term Time Series Forecasting. CoRR abs/2408.12068 (2024) - [i11]Hao Wang, Jindong Han, Wei Fan, Hao Liu:
Empowering Pre-Trained Language Models for Spatio-Temporal Forecasting via Decoupling Enhanced Discrete Reprogramming. CoRR abs/2408.14505 (2024) - [i10]Ziyang Wu, Fan Liu, Jindong Han, Yuxuan Liang, Hao Liu:
Spatial-Temporal Mixture-of-Graph-Experts for Multi-Type Crime Prediction. CoRR abs/2409.15764 (2024) - [i9]Zhe-Rui Yang, Jindong Han, Chang-Dong Wang, Hao Liu:
GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning. CoRR abs/2409.16670 (2024) - [i8]Zhe-Rui Yang, Jindong Han, Chang-Dong Wang, Hao Liu:
Erase then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning. CoRR abs/2409.16684 (2024) - [i7]Weijia Zhang, Jindong Han, Hao Liu, Wei Fan, Hao Wang, Hui Xiong:
Meta-Transfer Learning Empowered Temporal Graph Networks for Cross-City Real Estate Appraisal. CoRR abs/2410.08947 (2024) - [i6]Tengfei Lyu, Jindong Han, Hao Liu:
A Prompt-Guided Spatio-Temporal Transformer Model for National-Wide Nuclear Radiation Forecasting. CoRR abs/2410.11924 (2024) - 2023
- [j6]Jindong Han, Hao Liu, Haoyi Xiong, Jing Yang:
Semi-Supervised Air Quality Forecasting via Self-Supervised Hierarchical Graph Neural Network. IEEE Trans. Knowl. Data Eng. 35(5): 5230-5243 (2023) - [j5]Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong:
Kill Two Birds With One Stone: A Multi-View Multi-Adversarial Learning Approach for Joint Air Quality and Weather Prediction. IEEE Trans. Knowl. Data Eng. 35(11): 11515-11528 (2023) - [j4]Hao Liu, Jindong Han, Yanjie Fu, Yanyan Li, Kai Chen, Hui Xiong:
Unified route representation learning for multi-modal transportation recommendation with spatiotemporal pre-training. VLDB J. 32(2): 325-342 (2023) - [c4]Jindong Han, Hao Liu, Shui Liu, Xi Chen, Naiqiang Tan, Hua Chai, Hui Xiong:
iETA: A Robust and Scalable Incremental Learning Framework for Time-of-Arrival Estimation. KDD 2023: 4100-4111 - [i5]Kehua Chen, Jindong Han, Siyuan Feng, Hai Yang:
Cross-City Traffic Prediction via Semantic-Fused Hierarchical Graph Transfer Learning. CoRR abs/2302.11774 (2023) - [i4]Weijia Zhang, Le Zhang, Jindong Han, Hao Liu, Jingbo Zhou, Yu Mei, Hui Xiong:
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network. CoRR abs/2308.16818 (2023) - [i3]Jindong Han, Weijia Zhang, Hao Liu, Hui Xiong:
Machine Learning for Urban Air Quality Analytics: A Survey. CoRR abs/2310.09620 (2023) - 2022
- [j3]Hao Liu, Yongxin Tong, Jindong Han, Panpan Zhang, Xinjiang Lu, Hui Xiong:
Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation. IEEE Trans. Knowl. Data Eng. 34(2): 723-735 (2022) - [c3]Weijia Zhang, Hao Liu, Jindong Han, Yong Ge, Hui Xiong:
Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing. KDD 2022: 2471-2481 - 2021
- [c2]Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou:
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks. AAAI 2021: 4081-4089 - 2020
- [j2]Hao Liu, Jindong Han, Yanjie Fu, Jingbo Zhou, Xinjiang Lu, Hui Xiong:
Multi-Modal Transportation Recommendation with Unified Route Representation Learning. Proc. VLDB Endow. 14(3): 342-350 (2020) - [j1]Ke Bu, Yuan He, Xiaojun Jing, Jindong Han:
Adversarial Transfer Learning for Deep Learning Based Automatic Modulation Classification. IEEE Signal Process. Lett. 27: 880-884 (2020) - [i2]Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou:
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks. CoRR abs/2012.15037 (2020)
2010 – 2019
- 2019
- [c1]Jindong Han, Yuan He, Juan Liu, Qianqian Zhang, Xiaojun Jing:
GraphConvLSTM: Spatiotemporal Learning for Activity Recognition with Wearable Sensors. GLOBECOM 2019: 1-6 - 2018
- [i1]Mingtao Dong, Jindong Han:
HAR-Net: Fusing Deep Representation and Hand-crafted Features for Human Activity Recognition. CoRR abs/1810.10929 (2018)
Coauthor Index
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