Jindong Han
Orcid: 0000-0002-1542-6149Affiliations:
- Hong Kong University of Science and Technology, China
- Baidu Research, Beijing, China (former)
- Beijing University of Posts and Telecommunications, China (former)
According to our database1,
Jindong Han
authored at least 16 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks.
Proc. VLDB Endow., January, 2024
CoRR, 2024
2023
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., November, 2023
Semi-Supervised Air Quality Forecasting via Self-Supervised Hierarchical Graph Neural Network.
IEEE Trans. Knowl. Data Eng., May, 2023
Unified route representation learning for multi-modal transportation recommendation with spatiotemporal pre-training.
VLDB J., March, 2023
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network.
CoRR, 2023
Cross-City Traffic Prediction via Semantic-Fused Hierarchical Graph Transfer Learning.
CoRR, 2023
iETA: A Robust and Scalable Incremental Learning Framework for Time-of-Arrival Estimation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
2022
Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation.
IEEE Trans. Knowl. Data Eng., 2022
Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
2021
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Adversarial Transfer Learning for Deep Learning Based Automatic Modulation Classification.
IEEE Signal Process. Lett., 2020
Multi-Modal Transportation Recommendation with Unified Route Representation Learning.
Proc. VLDB Endow., 2020
2019
GraphConvLSTM: Spatiotemporal Learning for Activity Recognition with Wearable Sensors.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
2018
HAR-Net: Fusing Deep Representation and Hand-crafted Features for Human Activity Recognition.
CoRR, 2018