TrafficGAN: Off-Deployment Traffic Estimation with Traffic Generative Adversarial Networks. - Yingxue Zhang 002; Yanhua Li; Xun Zhou 001; Xiangnan Kong; Jun Luo 007 (ICDM, 2019)

COVID-GAN: Estimating Human Mobility Responses to COVID-19 Pandemic through Spatio-Temporal Conditional Generative Adversarial Networks. - Han Bao 003; Xun Zhou 001; Yingxue Zhang 002; Yanhua Li; Yiqun Xie (SIGSPATIAL/GIS, 2020)

cST-ML: Continuous Spatial-Temporal Meta-Learning for Traffic Dynamics Prediction. - Yingxue Zhang 002; Yanhua Li; Xun Zhou 001; Jun Luo 007 (ICDM, 2020)

Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks. - Yingxue Zhang 002; Yanhua Li; Xun Zhou 001; Xiangnan Kong; Jun Luo 007 (KDD, 2020)

C3-GAN: Complex-Condition-Controlled Urban Traffic Estimation through Generative Adversarial Networks. - Yingxue Zhang 002; Yanhua Li; Xun Zhou 001; Zhenming Liu; Jun Luo 007 (ICDM, 2021)

Mest-GAN: Cross-City Urban Traffic Estimation with Me ta S patial-T emporal G enerative A dversarial N etworks. - Yingxue Zhang 002; Yanhua Li; Xun Zhou 001; Jun Luo 007 (ICDM, 2022)

STrans-GAN: Spatially-Transferable Generative Adversarial Networks for Urban Traffic Estimation. - Yingxue Zhang 002; Yanhua Li; Xun Zhou 001; Xiangnan Kong; Jun Luo 007 (ICDM, 2022)

Off-Deployment Traffic Estimation - A Traffic Generative Adversarial Networks Approach. - Yingxue Zhang 002; Yanhua Li; Xun Zhou 001; Xiangnan Kong; Jun Luo 007 (IEEE Trans. Big Data, 2022)

COVID-GAN+: Estimating Human Mobility Responses to COVID-19 through Spatio-temporal Generative Adversarial Networks with Enhanced Features. - Han Bao 003; Xun Zhou 001; Yiqun Xie; Yingxue Zhang 002; Yanhua Li (ACM Trans. Intell. Syst. Technol., 2022)

Urban Traffic Dynamics Prediction - A Continuous Spatial-temporal Meta-learning Approach. - Yingxue Zhang 002; Yanhua Li; Xun Zhou 001; Jun Luo 007; Zhi-Li Zhang (ACM Trans. Intell. Syst. Technol., 2022)

STM-GAIL: Spatial-Temporal Meta-GAIL for Learning Diverse Human Driving Strategies. - Yingxue Zhang 002; Yanhua Li; Xun Zhou 001; Ziming Zhang; Jun Luo 007 (SDM, 2023)

Align Along Time and Space: A Graph Latent Diffusion Model for Traffic Dynamics Prediction. - Yuhang Liu 004; Yingxue Zhang 002; Xin Zhang 098; Yu Yang 010; Yiqun Xie; Sahar Ghanipoor Machiani; Yanhua Li; Jun Luo 007 (ICDM, 2024)

Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing. - Xinbo Zhao 001; Yingxue Zhang 002; Xin Zhang 098; Yu Yang 010; Yiqun Xie; Yanhua Li; Jun Luo 007 (KDD, 2024)

SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting. - Ruohan Li; Yiqun Xie; Xiaowei Jia; Dongdong Wang 001; Yanhua Li; Yingxue Zhang 002; Zhihao Wang; Zhili Li (NeurIPS, 2024)

C3-GAN+: Complex-Condition-Controlled Generative Adversarial Networks with Enhanced Embedding. - Yingxue Zhang 002; Yanhua Li; Xun Zhou 001; Zhenming Liu; Jun Luo 007 (ACM Trans. Knowl. Discov. Data, 2025)

UrbanMind: Urban Dynamics Prediction with Multifaceted Spatial-Temporal Large Language Models. - Yuhang Liu 004; Yingxue Zhang 002; Xin Zhang 098; Ling Tian; Yanhua Li; Jun Luo 007 (CoRR, 2025)