Jindong Han

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Convolutional Network

Transfer Learning

Activity Recognition

Top Venues

IEEE Trans. Knowl. Data Eng.

Proc. VLDB Endow.

Publications

Weijia Zhang, Jindong Han, Zhao Xu, Hang Ni, Hao Liu, Hui Xiong
Urban Foundation Models: A Survey. KDD (2024)
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)
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 (2024)
Wenzhao Jiang, Jindong Han, Hao Liu, Tao Tao, Naiqiang Tan, Hui Xiong
Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction. CoRR (2024)
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) (2024)
Wenzhao Jiang, Jindong Han, Hao Liu, Tao Tao, Naiqiang Tan, Hui Xiong
Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction. KDD (2024)
Jindong Han, Weijia Zhang, Hao Liu, Hui Xiong
Machine Learning for Urban Air Quality Analytics: A Survey. CoRR (2023)
Kehua Chen, Jindong Han, Siyuan Feng, Hai Yang
Cross-City Traffic Prediction via Semantic-Fused Hierarchical Graph Transfer Learning. CoRR (2023)
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) (2023)
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) (2023)
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 (2023)
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)
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) (2023)
Weijia Zhang, Hao Liu, Jindong Han, Yong Ge, Hui Xiong
Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing. KDD (2022)
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) (2022)
Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks. AAAI (2021)
Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks. CoRR (2020)
Ke Bu, Yuan He, Xiaojun Jing, Jindong Han
Adversarial Transfer Learning for Deep Learning Based Automatic Modulation Classification. IEEE Signal Process. Lett. 27 (2020)
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) (2020)
Jindong Han, Yuan He, Juan Liu, Qianqian Zhang, Xiaojun Jing
GraphConvLSTM: Spatiotemporal Learning for Activity Recognition with Wearable Sensors. GLOBECOM (2019)
Mingtao Dong, Jindong Han
HAR-Net: Fusing Deep Representation and Hand-crafted Features for Human Activity Recognition. CoRR (2018)