Yingxue Zhang

19 papers A* 10A 1Journal 5Unranked 3
YearRankTypeTitle / Venue / Authors
2026 — conf
UniLLM: A Unified Large Language Model for Multi?Modal Urban Dynamics Prediction.
KDD (1)
Yuhang Liu, Yingxue Zhang, Xin Zhang, Yanhua Li, Jun Luo
2025 A* conf
MARCEL: Multifaceted SpAtial-TempoRal ContrastivE Learning for Generic Spatial-Temporal Representations.
ICDM
Yuhang Liu, Yingxue Zhang, Xin Zhang, Yu Yang, Yanhua Li, Jun Luo
2025 — conf
UrbanMind: Urban Dynamics Prediction with Multifaceted Spatial-Temporal Large Language Models.
KDD (2)
Yuhang Liu, Yingxue Zhang, Xin Zhang, Ling Tian, Yanhua Li, Jun Luo
2025 J jnl
UrbanMind: Urban Dynamics Prediction with Multifaceted Spatial-Temporal Large Language Models.
CoRR
Yuhang Liu, Yingxue Zhang, Xin Zhang, Ling Tian, Yanhua Li, Jun Luo
2024 A* conf
Align Along Time and Space: A Graph Latent Diffusion Model for Traffic Dynamics Prediction.
ICDM
Yuhang Liu, Yingxue Zhang, Xin Zhang, Yu Yang, Yiqun Xie, Sahar Ghanipoor Machiani, Yanhua Li, Jun Luo
2024 A* conf
SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting.
NeurIPS
Ruohan Li, Yiqun Xie, Xiaowei Jia, Dongdong Wang, Yanhua Li, Yingxue Zhang, Zhihao Wang, Zhili Li
2024 A* conf
Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing.
KDD
Xinbo Zhao, Yingxue Zhang, Xin Zhang, Yu Yang, Yiqun Xie, Yanhua Li, Jun Luo
2024 J jnl
Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing.
CoRR
Xinbo Zhao, Yingxue Zhang, Xin Zhang, Yu Yang, Yiqun Xie, Yanhua Li, Jun Luo
2023 A conf
STM-GAIL: Spatial-Temporal Meta-GAIL for Learning Diverse Human Driving Strategies.
SDM
Yingxue Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo
2022 J jnl
COVID-GAN+: Estimating Human Mobility Responses to COVID-19 through Spatio-temporal Generative Adversarial Networks with Enhanced Features.
ACM Trans. Intell. Syst. Technol.
Han Bao, Xun Zhou, Yiqun Xie, Yingxue Zhang, Yanhua Li
2022 A* conf
Mest-GAN: Cross-City Urban Traffic Estimation with Me ta S patial-T emporal G enerative A dversarial N etworks.
ICDM
Yingxue Zhang, Yanhua Li, Xun Zhou, Jun Luo
2022 J jnl
Off-Deployment Traffic Estimation - A Traffic Generative Adversarial Networks Approach.
IEEE Trans. Big Data
Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo
2022 A* conf
STrans-GAN: Spatially-Transferable Generative Adversarial Networks for Urban Traffic Estimation.
ICDM
Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo
2022 J jnl
Urban Traffic Dynamics Prediction - A Continuous Spatial-temporal Meta-learning Approach.
ACM Trans. Intell. Syst. Technol.
Yingxue Zhang, Yanhua Li, Xun Zhou, Jun Luo, Zhi-Li Zhang
2021 A* conf
C
ICDM
Yingxue Zhang, Yanhua Li, Xun Zhou, Zhenming Liu, Jun Luo
2020 — conf
COVID-GAN: Estimating Human Mobility Responses to COVID-19 Pandemic through Spatio-Temporal Conditional Generative Adversarial Networks.
SIGSPATIAL/GIS
Han Bao, Xun Zhou, Yingxue Zhang, Yanhua Li, Yiqun Xie
2020 A* conf
Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks.
KDD
Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo
2020 A* conf
cST-ML: Continuous Spatial-Temporal Meta-Learning for Traffic Dynamics Prediction.
ICDM
Yingxue Zhang, Yanhua Li, Xun Zhou, Jun Luo
2019 A* conf
TrafficGAN: Off-Deployment Traffic Estimation with Traffic Generative Adversarial Networks.
ICDM
Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo