A Taxi Order Dispatch Model based On Combinatorial Optimization. - Lingyu Zhang 001; Tao Hu; Yue Min; Guobin Wu 001; Junying Zhang; Pengcheng Feng; Pinghua Gong; Jieping Ye (KDD, 2017)

CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms. - Jiarui Jin; Ming Zhou 006; Weinan Zhang 001; Minne Li; Zilong Guo; Zhiwei (Tony) Qin; Yan Jiao; Xiaocheng Tang; Chenxi Wang; Jun Wang 012; Guobin Wu 001; Jieping Ye (CIKM, 2019)

Recommendation-based Team Formation for On-demand Taxi-calling Platforms. - Lingyu Zhang 001; Tianshu Song; Yongxin Tong; Zimu Zhou; Dan Li; Wei Ai 002; Lulu Zhang; Guobin Wu 001; Yan Liu 002; Jieping Ye (CIKM, 2019)

Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching. - Ming Zhou 006; Jiarui Jin; Weinan Zhang 001; Zhiwei (Tony) Qin; Yan Jiao; Chenxi Wang; Guobin Wu 001; Yong Yu 001; Jieping Ye (CIKM, 2019)

Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning. - Minne Li; Zhiwei (Tony) Qin; Yan Jiao; Yaodong Yang 001; Jun Wang 012; Chenxi Wang; Guobin Wu 001; Jieping Ye (WWW, 2019)

Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning. - Minne Li; Zhiwei (Tony) Qin; Yan Jiao; Yaodong Yang 001; Zhichen Gong; Jun Wang 012; Chenxi Wang; Guobin Wu 001; Jieping Ye (CoRR, 2019)

D2-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios. - Zhengping Che; Max Guangyu Li; Tracy Li; Bo Jiang 001; Xuefeng Shi; Xinsheng Zhang; Ying Lu; Guobin Wu 001; Yan Liu 002; Jieping Ye (CoRR, 2019)

Context-aware Route Recommendation with Weight Learning through Deep Neural Networks. - Huiwen Jia; Jun Fang; Naiqiang Tan; Xinyue Liu; Zengwei Huo; Nan Ma; Guobin Wu 001; Hua Chai; Xiaohu Qie; Bo Zhang; Yafeng Yin 001; Siqian Shen (ACC, 2020)

Spatio-Temporal Hierarchical Adaptive Dispatching for Ridesharing Systems. - Chang Liu; Jiahui Sun; Haiming Jin; Meng Ai; Qun Li; Cheng Zhang; Kehua Sheng; Guobin Wu 001; Xiaohu Qie; Xinbing Wang (SIGSPATIAL/GIS, 2020)

Learning from Imbalanced and Incomplete Supervision with Its Application to Ride-Sharing Liability Judgment. - Lan-Zhe Guo; Zhi Zhou 007; Jie-Jing Shao; Qi Zhang; Feng Kuang; Gao-Le Li; Zhang-Xun Liu; Guobin Wu 001; Nan Ma; Qun (Tracy) Li; Yufeng Li 008 (KDD, 2021)

Travel Intention Prediction Method Based on User Needs. - Lingyu Zhang 001; Wenjie Bian; Jianxing Li; Ying Zhang; Jian Liang; Guobin Wu 001; Liang Zhang (CAIBDA, 2022)

Modeling Freight-Sharing Platform Operations for Optimal Compensation Strategy Using Markov Decision Processes. - Siqi Shu; Zhengqi Chen; Zhe Yu 001; Shaosheng Cao; Guobin Wu 001; Donghai Shi; Gaoang Wang; Zuozhu Liu; Xiqun Chen; Xiaoxiang Na; Chao Wu 001; Simon Hu 001 (ITSC, 2022)

Fed-LTD: Towards Cross-Platform Ride Hailing via Federated Learning to Dispatch. - Yansheng Wang; Yongxin Tong; Zimu Zhou; Ziyao Ren; Yi Xu 013; Guobin Wu 001; Weifeng Lv (KDD, 2022)

Pick-Up Point Recommendation Using Users' Historical Ride-Hailing Orders. - Lingyu Zhang 001; Zhijie He; Xiao Wang; Ying Zhang; Jian Liang; Guobin Wu 001; Ziqiang Yu; Penghui Zhang; Minghao Ji; Pengfei Xu; Yunhai Wang (WASA (2), 2022)

Users' Departure Time Prediction Based on Light Gradient Boosting Decision Tree. - Lingyu Zhang 001; Zhijie He; Xiao Wang; Ying Zhang; Jian Liang; Guobin Wu 001; Ziqiang Yu; Penghui Zhang; Minghao Ji; Pengfei Xu; Yunhai Wang (WASA (2), 2022)

Spatial-Temporal Adaptive Graph Convolution with Attention Network for Traffic Forecasting. - Weikang Chen; Yawen Li 001; Zhe Xue; Ang Li 015; Guobin Wu 001 (CoRR, 2022)

ElasticShare: Ridesharing Order Dispatching with Dynamic Supply-demand Distribution. - Shuxin Ge; Xiaobo Zhou 003; Tie Qiu 001; Guobin Wu 001; Xiaotong Wang (IWQoS, 2023)

Rethinking Order Dispatching in Online Ride-Hailing Platforms. - Zhaoxing Yang; Haiming Jin; Guiyun Fan; Min Lu 004; Yiran Liu; Xinlang Yue; Hao Pan; Zhe Xu 003; Guobin Wu 001; Qun Li; Xiaotong Wang; Jiecheng Guo (KDD, 2024)

Delving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectives. - Sheng Luo; Wei Chen 001; Wanxin Tian; Rui Liu; Luanxuan Hou; Xiubao Zhang; Haifeng Shen; Ruiqi Wu; Shuyi Geng; Yi Zhou 007; Ling Shao 005; Yi Yang 001; et al. (CoRR, 2024)

Exploring the Interplay Between Video Generation and World Models in Autonomous Driving: A Survey. - Ao Fu; Yi Zhou 007; Tao Zhou 002; Yi Yang 001; Bojun Gao; Qun Li; Guobin Wu 001; Ling Shao 005 (CoRR, 2024)

Towards Supply-Demand Equilibrium With Ridesharing: An Elastic Order Dispatching Algorithm in MoD System. - Shuxin Ge; Xiaobo Zhou 003; Tie Qiu 001; Guobin Wu 001; Xiaotong Wang (IEEE Trans. Mob. Comput., 2024)

Delving Into Multi-Modal Multi-Task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectives. - Sheng Luo; Wei Chen; Wanxin Tian; Rui Liu; Luanxuan Hou; Xiubao Zhang; Haifeng Shen; Ruiqi Wu; Shuyi Geng; Yi Zhou 007; Ling Shao 001; Yi Yang 001; et al. (IEEE Trans. Intell. Veh., 2024)

AutoTracer: A Low-Overhead Tracing Framework for Autonomous Driving System. - Bo Jiang 001; Fancheng Shu; Yuyang Cui; Xiangjie Wang; Peng Tang; Lei Wang 126; Weiping Zhang; Yong Wang; Guobin Wu 001 (SIGSOFT FSE Companion, 2025)

FreqFormer: Frequency-Enhanced Face Super-Resolution via Dual-Synergy Learning. - Jia Wang; Shuhan Xia; Chen Zou 007; Guobin Wu 001; Zhaofeng He (IEEE Signal Process. Lett., 2025)