Weijia Zhang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Reinforcement Learning

Graph Representation

Electric Vehicle Charging

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)
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)
Jindong Han, Weijia Zhang, Hao Liu, Hui Xiong
Machine Learning for Urban Air Quality Analytics: A Survey. CoRR (2023)
Fan Liu, Weijia Zhang, Hao Liu
Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training. CoRR (2023)
Qian Sun, Le Zhang, Huan Yu, Weijia Zhang, Yu Mei, Hui Xiong
Hierarchical Reinforcement Learning for Dynamic Autonomous Vehicle Navigation at Intelligent Intersections. KDD (2023)
Siqi Lai, Weijia Zhang, Hao Liu
A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption Estimation. KDD (2023)
Siqi Lai, Zhao Xu, Weijia Zhang, Hao Liu, Hui Xiong
Large Language Models as Traffic Signal Control Agents: Capacity and Opportunity. CoRR (2023)
Siqi Lai, Weijia Zhang, Hao Liu
A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption Estimation. CoRR (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)
Fan Liu, Weijia Zhang, Hao Liu
Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training. KDD (2023)
Weijia Zhang, Hao Liu, Hui Xiong, Tong Xu, Fan Wang, Haoran Xin, Hua Wu
RLCharge: Imitative Multi-Agent Spatiotemporal Reinforcement Learning for Electric Vehicle Charging Station Recommendation. IEEE Trans. Knowl. Data Eng. 35 (6) (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)
Jingci Ming, Le Zhang, Wei Fan, Weijia Zhang, Yu Mei, Weicen Ling, Hui Xiong
Multi-Graph Convolutional Recurrent Network for Fine-Grained Lane-Level Traffic Flow Imputation. ICDM (2022)
Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Tong Xu, Hui Xiong
Semi-Supervised City-Wide Parking Availability Prediction via Hierarchical Recurrent Graph Neural Network. IEEE Trans. Knowl. Data Eng. 34 (8) (2022)
Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning. WWW (2021)
Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal. CoRR (2021)
Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning. CoRR (2021)
Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal. KDD (2021)
Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction. AAAI (2020)
Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction. CoRR (2019)