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)

SIGIR 2018 Workshop on Intelligent Transportation Informatics. - Yan Liu 002; Zhenhui Li; Wei Ai 002; Lingyu Zhang 001 (SIGIR, 2018)

Taxi or Hitchhiking: Predicting Passenger's Preferred Service on Ride Sharing Platforms. - Lingyu Zhang 001; Wei Ai 002; Chuan Yuan; Yuhui Zhang; Jieping Ye (SIGIR, 2018)

Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting. - Xu Geng; Yaguang Li; Leye Wang; Lingyu Zhang 001; Qiang Yang 001; Jieping Ye; Yan Liu 002 (AAAI, 2019)

CIKM 2019 Workshop on Artificial Intelligence in Transportation (AI in transportation). - Weinan Zhang 001; Haiming Jin; Lingyu Zhang 001; Hongtu Zhu; Zhenhui Jessie Li; 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)

POI Semantic Model with a Deep Convolutional Structure. - Ji Zhao 010; Meiyu Yu; Huan Chen; Boning Li; Lingyu Zhang 001; Qi Song; Li Ma; Hua Chai; Jieping Ye (CoRR, 2019)

Multi-Modal Graph Interaction for Multi-Graph Convolution Network in Urban Spatiotemporal Forecasting. - Xu Geng; Xiyu Wu; Lingyu Zhang 001; Qiang Yang 001; Yan Liu 002; Jieping Ye (CoRR, 2019)

Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network. - Hongzhi Shi; Quanming Yao; Qi Guo; Yaguang Li; Lingyu Zhang 001; Jieping Ye; Yong Li 008; Yan Liu 002 (ICDE, 2020)

Predicting Individual Treatment Effects of Large-scale Team Competitions in a Ride-sharing Economy. - Teng Ye; Wei Ai 002; Lingyu Zhang 001; Ning Luo; Lulu Zhang; Jieping Ye; Qiaozhu Mei (KDD, 2020)

Two-sided online bipartite matching in spatial data: experiments and analysis. - Yiming Li; Jingzhi Fang; Yuxiang Zeng; Balz Maag; Yongxin Tong; Lingyu Zhang 001 (GeoInformatica, 2020)

Engaging Drivers in Ride Hailing via Competition: A Case Study with Arena. - Hao Cheng; Shuyue Wei; Lingyu Zhang 001; Zimu Zhou; Yongxin Tong (MDM, 2021)

An Intelligent Model for Solving Manpower Scheduling Problems. - Lingyu Zhang 001; Tianyu Liu; Yunhai Wang (CoRR, 2021)

Apply Artificial Neural Network to Solving Manpower Scheduling Problem. - Tianyu Liu; Lingyu Zhang 001 (CoRR, 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)

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)

Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout. - Hongjun Wang 007; Jiyuan Chen; Tong Pan; Zipei Fan; Xuan Song 001; Renhe Jiang; Lingyu Zhang 001; Yi Xie; Zhongyi Wang; Boyuan Zhang 005 (AAAI, 2023)

Multitask Weakly Supervised Learning for Origin Destination Travel Time Estimation. - Hongjun Wang 007; Zhiwen Zhang 004; Zipei Fan; Jiyuan Chen; Lingyu Zhang 001; Ryosuke Shibasaki; Xuan Song 001 (CoRR, 2023)

Discovering Key Sub-Trajectories to Explain Traffic Prediction. - Hongjun Wang 007; Zipei Fan; Jiyuan Chen; Lingyu Zhang 001; Xuan Song 001 (Sensors, 2023)

Putting Teams into the Gig Economy: A Field Experiment at a Ride-Sharing Platform. - Wei Ai 002; Yan Chen 014; Qiaozhu Mei; Jieping Ye; Lingyu Zhang 001 (Manag. Sci., 2023)

Multi-Task Weakly Supervised Learning for Origin-Destination Travel Time Estimation. - Hongjun Wang 007; Zhiwen Zhang 004; Zipei Fan; Jiyuan Chen; Lingyu Zhang 001; Ryosuke Shibasaki; Xuan Song 001 (IEEE Trans. Knowl. Data Eng., 2023)

Robust Traffic Forecasting against Spatial Shift over Years. - Hongjun Wang 007; Jiyuan Chen; Tong Pan; Zheng Dong 006; Lingyu Zhang 001; Renhe Jiang; Xuan Song 001 (CoRR, 2024)

STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting. - Hongjun Wang 007; Jiyuan Chen; Tong Pan; Zheng Dong 006; Lingyu Zhang 001; Renhe Jiang; Xuan Song 001 (CoRR, 2024)

Evaluating the Generalization Ability of Spatiotemporal Model in Urban Scenario. - Hongjun Wang 007; Jiyuan Chen; Tong Pan; Zheng Dong 006; Lingyu Zhang 001; Renhe Jiang; Xuan Song 001 (CoRR, 2024)

Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecasting. - Hongjun Wang 007; Jiyuan Chen; Lingyu Zhang 001; Renhe Jiang; Xuan Song 001 (CoRR, 2024)