Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction. - Weijia Zhang 003; Hao Liu 026; Yanchi Liu; Jingbo Zhou; Hui Xiong 001 (AAAI, 2020)

MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal. - Weijia Zhang 003; Hao Liu 026; Lijun Zha; Hengshu Zhu; Ji Liu 003; Dejing Dou; Hui Xiong 001 (KDD, 2021)

Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning. - Weijia Zhang 003; Hao Liu 026; Fan Wang 021; Tong Xu 001; Haoran Xin 001; Dejing Dou; Hui Xiong 001 (WWW, 2021)

Multi-Graph Convolutional Recurrent Network for Fine-Grained Lane-Level Traffic Flow Imputation. - Jingci Ming; Le Zhang 010; Wei Fan 010; Weijia Zhang 003; Yu Mei; Weicen Ling; Hui Xiong 001 (ICDM, 2022)

Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing. - Weijia Zhang 003; Hao Liu 026; Jindong Han; Yong Ge; Hui Xiong 001 (KDD, 2022)

Semi-Supervised City-Wide Parking Availability Prediction via Hierarchical Recurrent Graph Neural Network. - Weijia Zhang 003; Hao Liu 026; Yanchi Liu; Jingbo Zhou; Tong Xu 001; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2022)

A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption Estimation. - Siqi Lai; Weijia Zhang 003; Hao Liu 026 (KDD, 2023)

Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training. - Fan Liu; Weijia Zhang 003; Hao Liu 026 (KDD, 2023)

Hierarchical Reinforcement Learning for Dynamic Autonomous Vehicle Navigation at Intelligent Intersections. - Qian Sun 005; Le Zhang 010; Huan Yu; Weijia Zhang 003; Yu Mei; Hui Xiong 001 (KDD, 2023)

Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network. - Weijia Zhang 003; Le Zhang 010; Jindong Han; Hao Liu 026; Jingbo Zhou; Yu Mei; Hui Xiong 001 (CoRR, 2023)

Machine Learning for Urban Air Quality Analytics: A Survey. - Jindong Han; Weijia Zhang 003; Hao Liu 026; Hui Xiong 001 (CoRR, 2023)

Large Language Models as Traffic Signal Control Agents: Capacity and Opportunity. - Siqi Lai; Zhao Xu 006; Weijia Zhang 003; Hao Liu 026; Hui Xiong 001 (CoRR, 2023)

RLCharge: Imitative Multi-Agent Spatiotemporal Reinforcement Learning for Electric Vehicle Charging Station Recommendation. - Weijia Zhang 003; Hao Liu 026; Hui Xiong 001; Tong Xu 001; Fan Wang 021; Haoran Xin 001; Hua Wu 003 (IEEE Trans. Knowl. Data Eng., 2023)

Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach. - Weijia Zhang 003; Chenlong Yin; Hao Liu 026; Xiaofang Zhou 001; Hui Xiong 001 (ICML, 2024)

Urban Foundation Models: A Survey. - Weijia Zhang 003; Jindong Han; Zhao Xu 006; Hang Ni; Hao Liu 026; Hui Xiong 001 (KDD, 2024)

Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks. - Weijia Zhang 003; Le Zhang 010; Jindong Han; Hao Liu 026; Yanjie Fu; Jingbo Zhou; Yu Mei; Hui Xiong 001 (KDD, 2024)

Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models. - Weijia Zhang 003; Jindong Han; Zhao Xu 006; Hang Ni; Hao Liu 026; Hui Xiong 001 (CoRR, 2024)

Unleash The Power of Pre-Trained Language Models for Irregularly Sampled Time Series. - Weijia Zhang 003; Chenlong Yin; Hao Liu 026; Hui Xiong 001 (CoRR, 2024)

Meta-Transfer Learning Empowered Temporal Graph Networks for Cross-City Real Estate Appraisal. - Weijia Zhang 003; Jindong Han; Hao Liu 026; Wei Fan 010; Hao Wang 073; Hui Xiong 001 (CoRR, 2024)

BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks. - Jindong Han; Weijia Zhang 003; Hao Liu 026; Tao Tao; Naiqiang Tan; Hui Xiong 001 (Proc. VLDB Endow., 2024)

LLMLight: Large Language Models as Traffic Signal Control Agents. - Siqi Lai; Zhao Xu 006; Weijia Zhang 003; Hao Liu 026; Hui Xiong 001 (KDD (1), 2025)

AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting. - Tengfei Lyu; Weijia Zhang 003; Jinliang Deng; Hao Liu 026 (KDD (1), 2025)

Labor Migration Modeling Through Large-Scale Job Query Data. - Zhuoning Guo; Le Zhang 010; Hengshu Zhu; Weijia Zhang 003; Hui Xiong 001; Hao Liu 026 (PAKDD (1), 2025)

PhyDA: Physics-Guided Diffusion Models for Data Assimilation in Atmospheric Systems. - Hao Wang 073; Jindong Han; Wei Fan 010; Weijia Zhang 003; Hao Liu 026 (CoRR, 2025)