Publications

Ruohan Li, Yiqun Xie, Xiaowei Jia, Dongdong Wang, Yanhua Li, Yingxue Zhang, Zhihao Wang and Zhili Li (2024). SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting . NeurIPS 2024 (Datasets and Benchmarks Track), Vancouver, Canada (acceptance rate: ~25%).

Yuhang Liu, Yingxue Zhang, Xin Zhang, Yu Yang, Yiqun Xie, Sahar Ghanipoor Machiani, Yanhua Li, and Jun Luo (2024). Align Along Time and Space: A Graph Latent Diffusion Model for Traffic Dynamics Prediction. IEEE International Conference on Data Mining (ICDM), 9-12 December 2024, Abu Dhabi, UAE. (Acceptance rate = 19.5%).

Xinbo Zhao, Yingxue Zhang, Xin Zhang, Yu Yang, Yiqun Xie, Yanhua Li, and Jun Luo (2024). Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing. The 30th SIGKDD conference on Knowledge Discovery and Data Mining, Barcelona, Spain, August 25 to 29, 2024 (acceptance rate: ~20%).

Yingxue Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, and Jun Luo (2022). STM-GAIL: Spatial-Temporal Meta-GAIL for Learning Diverse Human Driving Strategies. SIAM International Conference on Data Mining (SDM23), Minneapolis, April 27 - 39, 2023. (27.5% = 105/382 Acceptance Ratio).

Yingxue Zhang, Yanhua Li, Xun Zhou, and Jun Luo (2022). Mest-GAN: Cross-City Urban Traffic Estimation with Meta Spatial-Temporal Generative Adversarial Networks. IEEE International Conference on Data Mining, (9.77%=85/870 Full paper acceptance ratio), Orlando, FL, Nov. 28 - Dec 1, 2022.

Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, and Jun Luo (2022). STrans-GAN: Spatially-Transferable Generative Adversarial Networks for Urban Traffic Estimation. IEEE International Conference on Data Mining, (9.77%=85/870 Full paper acceptance ratio), Orlando, FL, Nov. 28 - Dec 1, 2022.

Yingxue Zhang, Yanhua Li, Xun Zhou, Zhenming Liu, Jun Luo (2021). C3-GAN: Complex-Condition-Controlled Urban Traffic Estimation though Generative Adversarial Networks. In 2021 IEEE International Conference on Data Mining (ICDM 2021).

Yingxue Zhang, Yanhua Li, Xun Zhou, Jun Luo, Zhi-Li Zhang (2021). Urban Traffic Dynamics Prediction---A Continuous Meta-Learning Approach. In ACM Transactions on Intelligent Systems and Technology (TIST).

Han Bao, Xun Zhou, Yiqun Xie, Yingxue Zhang, Yanhua Li (2021). COVID-GAN+: Estimating Human Mobility Responses to COVID-19 through Spatio-Temporal Generative Adversarial Networks with Enhanced Features. In ACM Transactions on Intelligent Systems and Technology (TIST).

Yingxue Zhang, Yanhua Li, Xun Zhou, Jun Luo (2020). cST-ML: Continuous Spatial-Temporal Meta-Learning for Traffic Dynamics Prediction. In 2020 IEEE International Conference on Data Mining (ICDM).

Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo (2020). Off-Deployment Traffic Estimation — A Traffic Generative Adversarial Networks Approach. In IEEE Transactions on Big Data.

Han Bao, Xun Zhou, Yingxue Zhang, Yanhua Li, Yiqun Xie (2020). COVID-GAN: Esti-mating Human Mobility Responses to COVID-19 Pandemic through Spatio-Temporal Conditional GenerativeAdversarial Networks. In Proceedings of the 28th ACM SIGSPATIAL International Conference on Advances inGeographic Information Systems (SIGSPATIAL).

Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo (2020). Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks. In Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo (2019). TrafficGAN: Off-Deployment Traffic Estimation with Traffic Generative Adversarial Networks. In 2019 IEEE International Conference on Data Mining (ICDM).