Wang, Jingyuan

21 publications

ICML 2025 Approximation to Smooth Functions by Low-Rank Swish Networks Zimeng Li, Hongjun Li, Jingyuan Wang, Ke Tang

AAAI 2025 Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning Chengkai Han, Jingyuan Wang, Yongyao Wang, Xie Yu, Hao Lin, Chao Li, Junjie Wu

NeurIPS 2025 Cross City Traffic Flow Generation via Retrieval Augmented Diffusion Model Yudong Li, Jingyuan Wang, Xie Yu, Peiyu Wang, Qian Huang

ICML 2025 Distributionally Robust Policy Learning Under Concept Drifts Jingyuan Wang, Zhimei Ren, Ruohan Zhan, Zhengyuan Zhou

AAAI 2025 GTG: Generalizable Trajectory Generation Model for Urban Mobility Jingyuan Wang, Yujing Lin, Yudong Li

IJCAI 2025 HygMap: Representing All Types of mAP Entities via Heterogeneous Hypergraph Yifan Yang, Jingyuan Wang, Xie Yu, Yibang Tang

AAAI 2025 POI-Enhancer: An LLM-Based Semantic Enhancement Framework for POI Representation Learning Jiawei Cheng, Jingyuan Wang, Yichuan Zhang, Jiahao Ji, Yuanshao Zhu, Zhibo Zhang, Xiangyu Zhao

ICML 2025 ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Tianci Bu, Le Zhou, Wenchuan Yang, Jianhong Mou, Kang Yang, Suoyi Tan, Feng Yao, Jingyuan Wang, Xin Lu

ICML 2024 Adaptively Learning to Select-Rank in Online Platforms Jingyuan Wang, Perry Dong, Ying Jin, Ruohan Zhan, Zhengyuan Zhou

ICLR 2024 AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction Kethmi Hirushini Hettige, Jiahao Ji, Shili Xiang, Cheng Long, Gao Cong, Jingyuan Wang

AAAI 2024 Full Bayesian Significance Testing for Neural Networks Zehua Liu, Zimeng Li, Jingyuan Wang, Yue He

IJCAI 2024 Full Bayesian Significance Testing for Neural Networks in Traffic Forecasting Zehua Liu, Jingyuan Wang, Zimeng Li, Yue He

ACML 2024 Refining Visual Perception for Decoration Display: A Self-Enhanced Deep Captioning Model Longfei Huang, Xiangyu Wu, Jingyuan Wang, Weili Guo, Yang Yang

AAAI 2023 Continuous Trajectory Generation Based on Two-Stage GAN Wenjun Jiang, Wayne Xin Zhao, Jingyuan Wang, Jiawei Jiang

AAAI 2023 PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction Jiawei Jiang, Chengkai Han, Wayne Xin Zhao, Jingyuan Wang

AAAI 2023 Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction Jiahao Ji, Jingyuan Wang, Chao Huang, Junjie Wu, Boren Xu, Zhenhe Wu, Junbo Zhang, Yu Zheng

IJCAI 2022 Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-Aware Neural Network Approach Haiping Ma, Jingyuan Wang, Hengshu Zhu, Xin Xia, Haifeng Zhang, Xingyi Zhang, Lei Zhang

AAAI 2022 STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jiawei Jiang, Hu Zhang

AAAI 2019 SVM-Based Deep Stacking Networks Jingyuan Wang, Kai Feng, Junjie Wu

AAAI 2018 CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model for Urban Resident Recognition Jingyuan Wang, Xu He, Ze Wang, Junjie Wu, Nicholas Jing Yuan, Xing Xie, Zhang Xiong

AAAI 2017 Coupling Implicit and Explicit Knowledge for Customer Volume Prediction Jingyuan Wang, Yating Lin, Junjie Wu, Zhong Wang, Zhang Xiong