| 2026 | ACL | A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions. | Zhiyin Yu, Yuchen Mou, Juncheng Yan, Junyu Luo, Chunchun Chen, Xing Wei, Yunhui Liu, Hongru Sun, Yuxing Zhang, Jun Xu, Yatao Bian, Ming Zhang, Wei Ye, Tieke He, Jie Yang, Guanjie Zheng, Zhonghai Wu, Bo Zhang, Lei Bai, Xiao Luo |
| 2026 | DASFAA | HEADS: Temporal Observation Density Boosts Irregular Multivariate Time Series Forecasting. | Yimian Hu, Jianping Zhou, Bin Lu, Guanjie Zheng, Luoyi Fu, Xinbing Wang, Chenghu Zhou |
| 2025 | ICDE | UMGAD: Unsupervised Multiplex Graph Anomaly Detection. | Xiang Li, Jianpeng Qi, Zhongying Zhao, Guanjie Zheng, Lei Cao, Junyu Dong, Yanwei Yu |
| 2025 | ICRA | Safety-Critical Traffic Simulation with Adversarial Transfer of Driving Intentions. | Zherui Huang, Xing Gao, Guanjie Zheng, Licheng Wen, Xuemeng Yang, Xiao Sun |
| 2024 | CIKM | MTSCI: A Conditional Diffusion Model for Multivariate Time Series Consistent Imputation. | Jianping Zhou, Junhao Li, Guanjie Zheng, Xinbing Wang, Chenghu Zhou |
| 2024 | COCOON | New Teaching Philosophy of Theoretical Computer Science Courses in AI Era Data Structure as an Example. | Guanjie Zheng, Yiheng Wang, Ziyang Su, Yong Yu |
| 2024 | DASFAA | POI-Based Traffic Generation via Supervised Contrastive Learning on Reconstructed Graph. | Ziyang Su, Zhanyu Liu, Jianrong Ding, Guanjie Zheng |
| 2024 | ICASSP | Towards Controlled Table-to-Text Generation with Scientific Reasoning. | Zhixin Guo, Jianping Zhou, Jiexing Qi, Mingxuan Yan, Ziwei He, Guanjie Zheng, Zhouhan Lin, Xinbing Wang, Chenghu Zhou |
| 2024 | KDD | Dataset Condensation for Time Series Classification via Dual Domain Matching. | Zhanyu Liu, Ke Hao, Guanjie Zheng, Yanwei Yu |
| 2024 | KDD | Graph Data Condensation via Self-expressive Graph Structure Reconstruction. | Zhanyu Liu, Chaolv Zeng, Guanjie Zheng |
| 2023 | CIKM | Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank. | Zhanyu Liu, Guanjie Zheng, Yanwei Yu |
| 2023 | ICDM | Uncertainty-aware Traffic Prediction under Missing Data. | Hao Mei, Junxian Li, Zhiming Liang, Guanjie Zheng, Bin Shi, Hua Wei |
| 2023 | KDD | Multiplex Heterogeneous Graph Neural Network with Behavior Pattern Modeling. | Chaofan Fu, Guanjie Zheng, Chao Huang, Yanwei Yu, Junyu Dong |
| 2023 | KDD | CBLab: Supporting the Training of Large-scale Traffic Control Policies with Scalable Traffic Simulation. | Chumeng Liang, Zherui Huang, Yicheng Liu, Zhanyu Liu, Guanjie Zheng, Hanyuan Shi, Kan Wu, Yuhao Du, Fuliang Li, Zhenhui Jessie Li |
| 2022 | CIKM | CTRL: Cooperative Traffic Tolling via Reinforcement Learning. | Yiheng Wang, Hexi Jin, Guanjie Zheng |
| 2022 | UIC | HMES: A Scalable Human Mobility and Epidemic Simulation System with Fast Intervention Modeling. | Haoyu Geng, Guanjie Zheng, Zhengqing Han, Hua Wei, Zhenhui Li |
| 2021 | ICDE | Rebuilding City-Wide Traffic Origin Destination from Road Speed Data. | Guanjie Zheng, Chang Liu, Hua Wei, Chacha Chen, Zhenhui Li |
| 2021 | IJCAI | Knowledge-based Residual Learning. | Guanjie Zheng, Chang Liu, Hua Wei, Porter Jenkins, Chacha Chen, Tao Wen, Zhenhui Li |
| 2021 | IJCAI | Objective-aware Traffic Simulation via Inverse Reinforcement Learning. | Guanjie Zheng, Hanyang Liu, Kai Xu, Zhenhui Li |
| 2021 | KDD | Overview of the 1st Workshop on City Brain Research. | Guanjie Zheng, Porter Jenkins, Yanyan Xu, Dongyao Chen |
| 2020 | AAAI | Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control. | Chacha Chen, Hua Wei, Nan Xu, Guanjie Zheng, Ming Yang, Yuanhao Xiong, Kai Xu, Zhenhui Li |
| 2020 | AAAI | MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control. | Xinshi Zang, Huaxiu Yao, Guanjie Zheng, Nan Xu, Kai Xu, Zhenhui Li |
| 2020 | CIKM | GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning. | Huichu Zhang, Chang Liu, Weinan Zhang, Guanjie Zheng, Yong Yu |
| 2020 | ICDE | Learning to Simulate Vehicle Trajectories from Demonstrations. | Guanjie Zheng, Hanyang Liu, Kai Xu, Zhenhui Li |
| 2019 | AAAI | Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction. | Huaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, Zhenhui Li |
| 2019 | CIKM | CoLight: Learning Network-level Cooperation for Traffic Signal Control. | Hua Wei, Nan Xu, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang, Yanmin Zhu, Kai Xu, Zhenhui Li |
| 2019 | CIKM | Learning Traffic Signal Control from Demonstrations. | Yuanhao Xiong, Guanjie Zheng, Kai Xu, Zhenhui Li |
| 2019 | CIKM | Learning Phase Competition for Traffic Signal Control. | Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu, Zhenhui Li |
| 2019 | KDD | PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network. | Hua Wei, Chacha Chen, Guanjie Zheng, Kan Wu, Vikash V. Gayah, Kai Xu, Zhenhui Li |
| 2019 | PAKDD | Targeted Knowledge Transfer for Learning Traffic Signal Plans. | Nan Xu, Guanjie Zheng, Kai Xu, Yanmin Zhu, Zhenhui Li |
| 2018 | KDD | IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control. | Hua Wei, Guanjie Zheng, Huaxiu Yao, Zhenhui Li |
| 2018 | WWW | DRN: A Deep Reinforcement Learning Framework for News Recommendation. | Guanjie Zheng, Fuzheng Zhang, Zihan Zheng, Yang Xiang, Nicholas Jing Yuan, Xing Xie, Zhenhui Li |
| 2017 | KDD | Contextual Spatial Outlier Detection with Metric Learning. | Guanjie Zheng, Susan L. Brantley, Thomas Lauvaux, Zhenhui Li |
| 2017 | SDM | Discovery of Causal Time Intervals. | Zhenhui Li, Guanjie Zheng, Amal Agarwal, Lingzhou Xue, Thomas Lauvaux |