Guobin Wu

30 papers A* 5A 3B 1C 1Journal 14Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Progressive Visual-Logic-Aligned Framework for Ride-Hailing Adjudication.
CoRR
Weiming Wu, Zi-Jian Cheng, Jie Meng, Peng Zhen, Shan Huang, Qun Li, Guobin Wu, Lan-Zhe Guo
2026 J jnl
A reinforcement learning-based approach for offline and online multi-line bus scheduling problem.
Appl. Soft Comput.
Yingzhuo Liu, Weijun Luo, Shuodi Liu, Liuyu Xiang, Xiaotian Zhuang, Guobin Wu, Zhaofeng He
2025 J jnl
A Knowledge-Guided Cross-Modal Feature Fusion Model for Local Traffic Demand Prediction.
CoRR
Lingyu Zhang, Pengfei Xu, Guobin Wu, Jian Liang, Ruiyang Dong, Yunhai Wang, Xuan Song
2025 — conf
AutoTracer: A Low-Overhead Tracing Framework for Autonomous Driving System.
SIGSOFT FSE Companion
Bo Jiang, Fancheng Shu, Yuyang Cui, Xiangjie Wang, Peng Tang, Lei Wang, Weiping Zhang, Yong Wang, Guobin Wu
2025 J jnl
FreqFormer: Frequency-Enhanced Face Super-Resolution via Dual-Synergy Learning.
IEEE Signal Process. Lett.
Jia Wang, Shuhan Xia, Chen Zou, Guobin Wu, Zhaofeng He
2025 J jnl
Next Point-of-interest (POI) Recommendation Model Based on Multi-modal Spatio-temporal Context Feature Embedding.
CoRR
Lingyu Zhang, Guobin Wu, Yan Wang, Pengfei Xu, Jian Liang, Xuan Song, Yunhai Wang
2024 J jnl
Delving Into Multi-Modal Multi-Task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectives.
IEEE Trans. Intell. Veh.
Sheng Luo, Wei Chen, Wanxin Tian, Rui Liu, Luanxuan Hou, Xiubao Zhang, Haifeng Shen, Ruiqi Wu, Shuyi Geng, Yi Zhou, Ling Shao, Yi Yang, Bojun Gao, Qun Li, Guobin Wu
2024 J jnl
Delving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectives.
CoRR
Sheng Luo, Wei Chen, Wanxin Tian, Rui Liu, Luanxuan Hou, Xiubao Zhang, Haifeng Shen, Ruiqi Wu, Shuyi Geng, Yi Zhou, Ling Shao, Yi Yang, Bojun Gao, Qun Li, Guobin Wu
2024 J jnl
Exploring the Interplay Between Video Generation and World Models in Autonomous Driving: A Survey.
CoRR
Ao Fu, Yi Zhou, Tao Zhou, Yi Yang, Bojun Gao, Qun Li, Guobin Wu, Ling Shao
2024 A* conf
Rethinking Order Dispatching in Online Ride-Hailing Platforms.
KDD
Zhaoxing Yang, Haiming Jin, Guiyun Fan, Min Lu, Yiran Liu, Xinlang Yue, Hao Pan, Zhe Xu, Guobin Wu, Qun Li, Xiaotong Wang, Jiecheng Guo
2024 J jnl
Towards Supply-Demand Equilibrium With Ridesharing: An Elastic Order Dispatching Algorithm in MoD System.
IEEE Trans. Mob. Comput.
Shuxin Ge, Xiaobo Zhou, Tie Qiu, Guobin Wu, Xiaotong Wang
2023 B conf
ElasticShare: Ridesharing Order Dispatching with Dynamic Supply-demand Distribution.
IWQoS
Shuxin Ge, Xiaobo Zhou, Tie Qiu, Guobin Wu, Xiaotong Wang
2022 A* conf
Fed-LTD: Towards Cross-Platform Ride Hailing via Federated Learning to Dispatch.
KDD
Yansheng Wang, Yongxin Tong, Zimu Zhou, Ziyao Ren, Yi Xu, Guobin Wu, Weifeng Lv
2022 — conf
Modeling Freight-Sharing Platform Operations for Optimal Compensation Strategy Using Markov Decision Processes.
ITSC
Siqi Shu, Zhengqi Chen, Zhe Yu, Shaosheng Cao, Guobin Wu, Donghai Shi, Gaoang Wang, Zuozhu Liu, Xiqun Chen, Xiaoxiang Na, Chao Wu, Simon Hu
2022 — conf
Pick-Up Point Recommendation Using Users' Historical Ride-Hailing Orders.
WASA (2)
Lingyu Zhang, ZhiJie He, Xiao Wang, Ying Zhang, Jian Liang, Guobin Wu, Ziqiang Yu, Penghui Zhang, Minghao Ji, Pengfei Xu, Yunhai Wang
2022 J jnl
Spatial-Temporal Adaptive Graph Convolution with Attention Network for Traffic Forecasting.
CoRR
Weikang Chen, Yawen Li, Zhe Xue, Ang Li, Guobin Wu
2022 — conf
Travel Intention Prediction Method Based on User Needs.
CAIBDA
Lingyu Zhang, Wenjie Bian, Jianxing Li, Ying Zhang, Jian Liang, Guobin Wu, Liang Zhang
2022 — conf
Users' Departure Time Prediction Based on Light Gradient Boosting Decision Tree.
WASA (2)
Lingyu Zhang, ZhiJie He, Xiao Wang, Ying Zhang, Jian Liang, Guobin Wu, Ziqiang Yu, Penghui Zhang, Minghao Ji, Pengfei Xu, Yunhai Wang
2021 A* conf
Learning from Imbalanced and Incomplete Supervision with Its Application to Ride-Sharing Liability Judgment.
KDD
Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Qi Zhang, Feng Kuang, Gao-Le Li, Zhang-Xun Liu, Guobin Wu, Nan Ma, Qun (Tracy) Li, Yufeng Li
2020 C conf
Context-aware Route Recommendation with Weight Learning through Deep Neural Networks.
ACC
Huiwen Jia, Jun Fang, Naiqiang Tan, Xinyue Liu, Zengwei Huo, Nan Ma, Guobin Wu, Hua Chai, Xiaohu Qie, Bo Zhang, Yafeng Yin, Siqian Shen
2020 — conf
Spatio-Temporal Hierarchical Adaptive Dispatching for Ridesharing Systems.
SIGSPATIAL/GIS
Chang Liu, Jiahui Sun, Haiming Jin, Meng Ai, Qun Li, Cheng Zhang, Kehua Sheng, Guobin Wu, Xiaohu Qie, Xinbing Wang
2019 A conf
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms.
CIKM
Jiarui Jin, Ming Zhou, Weinan Zhang, Minne Li, Zilong Guo, Zhiwei (Tony) Qin, Yan Jiao, Xiaocheng Tang, Chenxi Wang, Jun Wang, Guobin Wu, Jieping Ye
2019 J jnl
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms.
CoRR
Jiarui Jin, Ming Zhou, Weinan Zhang, Minne Li, Zilong Guo, Zhiwei (Tony) Qin, Yan Jiao, Xiaocheng Tang, Chenxi Wang, Jun Wang, Guobin Wu, Jieping Ye
2019 J jnl
D
CoRR
Zhengping Che, Max Guangyu Li, Tracy Li, Bo Jiang, Xuefeng Shi, Xinsheng Zhang, Ying Lu, Guobin Wu, Yan Liu, Jieping Ye
2019 A* conf
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning.
WWW
Minne Li, Zhiwei (Tony) Qin, Yan Jiao, Yaodong Yang, Jun Wang, Chenxi Wang, Guobin Wu, Jieping Ye
2019 J jnl
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning.
CoRR
Minne Li, Zhiwei (Tony) Qin, Yan Jiao, Yaodong Yang, Zhichen Gong, Jun Wang, Chenxi Wang, Guobin Wu, Jieping Ye
2019 A conf
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching.
CIKM
Ming Zhou, Jiarui Jin, Weinan Zhang, Zhiwei (Tony) Qin, Yan Jiao, Chenxi Wang, Guobin Wu, Yong Yu, Jieping Ye
2019 J jnl
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching.
CoRR
Ming Zhou, Jiarui Jin, Weinan Zhang, Zhiwei (Tony) Qin, Yan Jiao, Chenxi Wang, Guobin Wu, Yong Yu, Jieping Ye
2019 A conf
Recommendation-based Team Formation for On-demand Taxi-calling Platforms.
CIKM
Lingyu Zhang, Tianshu Song, Yongxin Tong, Zimu Zhou, Dan Li, Wei Ai, Lulu Zhang, Guobin Wu, Yan Liu, Jieping Ye
2017 A* conf
A Taxi Order Dispatch Model based On Combinatorial Optimization.
KDD
Lingyu Zhang, Tao Hu, Yue Min, Guobin Wu, Junying Zhang, Pengcheng Feng, Pinghua Gong, Jieping Ye