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 26 papers
between 2018 and 2024.
Collaborative distances:
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
A Prompt-Guided Spatio-Temporal Transformer Model for National-Wide Nuclear Radiation Forecasting.
CoRR, 2024
Meta-Transfer Learning Empowered Temporal Graph Networks for Cross-City Real Estate Appraisal.
CoRR, 2024
Erase then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning.
CoRR, 2024
GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning.
CoRR, 2024
CoRR, 2024
Empowering Pre-Trained Language Models for Spatio-Temporal Forecasting via Decoupling Enhanced Discrete Reprogramming.
CoRR, 2024
Simplified Mamba with Disentangled Dependency Encoding for Long-Term Time Series Forecasting.
CoRR, 2024
CoRR, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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