ZEST: A Hybrid Model on Predicting Passenger Demand for Chauffeured Car Service. - Hua Wei 001; Yuandong Wang 002; Tianyu Wo; Yaxiao Liu; Jie Xu 007 (CIKM, 2016)

Origin-Destination Matrix Prediction via Graph Convolution: a New Perspective of Passenger Demand Modeling. - Yuandong Wang 002; Hongzhi Yin; Hongxu Chen 002; Tianyu Wo; Jie Xu 007; Kai Zheng 001 (KDD, 2019)

Gallat: A Spatiotemporal Graph Attention Network for Passenger Demand Prediction. - Yuandong Wang 002; Hongzhi Yin; Tong Chen 005; Chunyang Liu; Ben Wang; Tianyu Wo; Jie Xu 007 (ICDE, 2021)

Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graph. - Yuandong Wang 002; Hongzhi Yin; Tong Chen 005; Chunyang Liu; Ben Wang; Tianyu Wo; Jie Xu 007 (CoRR, 2021)

Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graphs. - Yuandong Wang 002; Hongzhi Yin; Tong Chen 005; Chunyang Liu; Ben Wang; Tianyu Wo; Jie Xu 007 (ACM Trans. Intell. Syst. Technol., 2022)

Detecting Social Bot on the Fly using Contrastive Learning. - Ming Zhou 004; Dan Zhang; Yuandong Wang 002; Yangli-ao Geng; Jie Tang 001 (CIKM, 2023)

ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation. - Dan Zhang; Yifan Zhu 001; Yuxiao Dong; Yuandong Wang 002; Wenzheng Feng; Evgeny Kharlamov; Jie Tang 001 (WWW, 2023)

Secure Your Ride: Real-Time Matching Success Rate Prediction for Passenger-Driver Pairs. - Yuandong Wang 002; Hongzhi Yin; Lian Wu; Tong Chen 005; Chunyang Liu (IEEE Trans. Knowl. Data Eng., 2023)

Synthesizing Realistic Trajectory Data With Differential Privacy. - Xinyue Sun; Qingqing Ye 001; Haibo Hu 001; Yuandong Wang 002; Kai Huang 011; Tianyu Wo; Jie Xu 007 (IEEE Trans. Intell. Transp. Syst., 2023)

MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization. - Dongcheng Zou; Senzhang Wang; Xuefeng Li 003; Hao Peng 001; Yuandong Wang 002; Chunyang Liu; Kehua Sheng; Bo Zhang 106 (WSDM, 2024)

Multi-turn Response Selection with Commonsense-enhanced Language Models. - Yuandong Wang 002; Xuhui Ren; Tong Chen 005; Yuxiao Dong; Nguyen Quoc Viet Hung; Jie Tang 001 (CoRR, 2024)

DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction. - Dan Zhang; Wenzheng Feng; Yuandong Wang 002; Zhongang Qi; Ying Shan; Jie Tang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Behavior-Pred: A semantic-enhanced trajectory pre-training framework for motion forecasting. - Jianxin Shi; Jinhao Chen; Yuandong Wang 002; Tao Feng 014; Zhen Yang; Tianyu Wo (Inf. Fusion, 2025)

Parameter-Efficient Fine-Tuning for Foundation Models. - Dan Zhang; Tao Feng 014; Lilong Xue; Yuandong Wang 002; Yuxiao Dong; Jie Tang 001 (CoRR, 2025)

Motion Forecasting for Autonomous Vehicles: A Survey. - Jianxin Shi; Jinhao Chen; Yuandong Wang 002; Li Sun; Chunyang Liu; Wei Xiong; Tianyu Wo (CoRR, 2025)

LGB: Language Model and Graph Neural Network-Driven Social Bot Detection. - Ming Zhou 004; Dan Zhang; Yuandong Wang 002; Yangli-ao Geng; Yuxiao Dong; Jie Tang 001 (IEEE Trans. Knowl. Data Eng., 2025)