| 2026 | AAAI | Multiplex Heterogeneous Graph Neural Networks with Euclidean-Riemannian Mutual Space Synergy. | Xiang Li, Yuan Cao, Zhongying Zhao, Guoqing Chao, Yanwei Yu |
| 2026 | AAAI | Automatic Channel Pruning by Searching with Structure Embedding for Hash Network. | Zifan Liu, Yuan Cao, Yifan Sun, Yanwei Yu, Heng Qi |
| 2026 | AAAI | S²HyRec: Self-Supervised Hypergraph Sequential Recommendation. | Yuchen Liu, Kunyu Ni, Zhongying Zhao, Guoqing Chao, Yanwei Yu |
| 2026 | AAAI | Self-Supervised Cross-City Trajectory Representation Learning Based on Meta-Learning. | Yanwei Yu, Hong Xia, Shaoxuan Gu, Xingyu Zhao, Dongliang Chen, Yuan Cao |
| 2026 | AAAI | TrajAgg: Dual-Scale Feature Aggregation with Hybrid Training for Trajectory Similarity Computation in Free Space. | Xiao Zhang, Xingyu Zhao, Yuan Cao, Bin Wang, Guiyuan Jiang, Yanwei Yu |
| 2026 | WWW | ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion. | Xiang Li, Jianpeng Qi, Haobing Liu, Yuan Cao, Guoqing Chao, Zhongying Zhao, Junyu Dong, Xinwang Liu, Yanwei Yu |
| 2026 | WWW | Weighted Graph Clustering via Scale Contraction and Graph Structure Learning. | Haobing Liu, Yinuo Zhang, Tingting Wang, Ruobing Jiang, Yanwei Yu |
| 2025 | AAAI | Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting. | Lingxiao Cao, Bin Wang, Guiyuan Jiang, Yanwei Yu, Junyu Dong |
| 2025 | AAAI | Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data. | Ziang Yan, Xingyu Zhao, Hanqing Ma, Wei Chen, Jianpeng Qi, Yanwei Yu, Junyu Dong |
| 2025 | AAAI | Scalable Trajectory-User Linking with Dual-Stream Representation Networks. | Hao Zhang, Wei Chen, Xingyu Zhao, Jianpeng Qi, Guiyuan Jiang, Yanwei Yu |
| 2025 | AAAI | Lightweight Yet Fine-Grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-Account Sequential Recommendation. | Jinyu Zhang, Zhongying Zhao, Chao Li, Yanwei Yu |
| 2025 | CIKM | Exploring the Tradeoff Between Diversity and Discrimination for Continuous Category Discovery. | Ruobing Jiang, Yang Liu, Haobing Liu, Yanwei Yu, Chunyang Wang |
| 2025 | CIKM | Hierarchy-Consistent Learning and Adaptive Loss Balancing for Hierarchical Multi-Label Classification. | Ruobing Jiang, Mengzhe Liu, Haobing Liu, Yanwei Yu |
| 2025 | ICDE | UMGAD: Unsupervised Multiplex Graph Anomaly Detection. | Xiang Li, Jianpeng Qi, Zhongying Zhao, Guanjie Zheng, Lei Cao, Junyu Dong, Yanwei Yu |
| 2025 | ICDE | Self-Supervised Trajectory Representation Learning with Multi-Scale Spatio-Temporal Feature Exploration. | Hong Xia, Xiao Zhang, Yuan Cao, Lei Cao, Yanwei Yu, Junyu Dong |
| 2025 | IJCAI | Non-collective Calibrating Strategy for Time Series Forecasting. | Bin Wang, Yongqi Han, Minbo Ma, Tianrui Li, Junbo Zhang, Feng Hong, Yanwei Yu |
| 2025 | IJCAI | MaskDGNN: Self-Supervised Dynamic Graph Neural Networks with Activeness-aware Temporal Masking. | Yiming He, Xiang Li, Zhongying Zhao, Haobing Liu, Peilan He, Yanwei Yu |
| 2025 | IJCAI | DGraFormer: Dynamic Graph Learning Guided Multi-Scale Transformer for Multivariate Time Series Forecasting. | Han Yan, Dongliang Chen, Guiyuan Jiang, Bin Wang, Lei Cao, Junyu Dong, Yanwei Yu |
| 2025 | IJCAI | CoLA-Former: Graph Transformer Using Communal Linear Attention for Lightweight Sequential Recommendation. | Zhongying Zhao, Jinyu Zhang, Chuanxu Jia, Chao Li, Yanwei Yu, Qingtian Zeng |
| 2024 | CIKM | Hypergraph Hash Learning for Efficient Trajectory Similarity Computation. | Yuan Cao, Lei Li, Xiangru Chen, Xue Xu, Zuojin Huang, Yanwei Yu |
| 2024 | CIKM | MoTTo: Scalable Motif Counting with Time-aware Topology Constraint for Large-scale Temporal Graphs. | Jiantao Li, Jianpeng Qi, Yueling Huang, Lei Cao, Yanwei Yu, Junyu Dong |
| 2024 | ICASSP | Efficient Joint Rectification of Photometric and Geometric Distortions in Document Images. | Hao Tang, Junyuan Guo, Teng Wang, Yanwei Yu, Chao Wang |
| 2024 | IJCAI | Multi-Relational Graph Attention Network for Social Relationship Inference from Human Mobility Data. | Guangming Qin, Jianpeng Qi, Bin Wang, Guiyuan Jiang, Yanwei Yu, Junyu Dong |
| 2024 | KDD | Dataset Condensation for Time Series Classification via Dual Domain Matching. | Zhanyu Liu, Ke Hao, Guanjie Zheng, Yanwei Yu |
| 2024 | SMC | LumChromNet: A Dual-Path Neural Network Framework for Optical Measurement in VR Systems. | Zhaoqing Leng, Zhengang Zhao, Yanwei Yu, Xiaoyu Zhou, Xu Dong, Yican Zhang |
| 2023 | AAAI | Graph Structure Learning on User Mobility Data for Social Relationship Inference. | Guangming Qin, Lexue Song, Yanwei Yu, Chao Huang, Wenzhe Jia, Yuan Cao, Junyu Dong |
| 2023 | CIKM | Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank. | Zhanyu Liu, Guanjie Zheng, Yanwei Yu |
| 2023 | ISKE | ST-MoE: Spatio-Temporal Mixture of Experts for Multivariate Time Series Forecasting. | Hanwen Liu, Yibing Zhang, Ximeng Wang, Bin Wang, Yanwei Yu |
| 2023 | ISKE | DeepNWP4Wind: A Wind Forcasting Correction Solution in View of Multi-Criteria Evaluation. | Binyu Tan, Junrui Shi, Bin Wang, Yanwei Yu, Feng Hong, Tianrui Li |
| 2023 | KDD | Multiplex Heterogeneous Graph Neural Network with Behavior Pattern Modeling. | Chaofan Fu, Guanjie Zheng, Chao Huang, Yanwei Yu, Junyu Dong |
| 2022 | ICDE | Scalable Motif Counting for Large-scale Temporal Graphs. | Zhongqiang Gao, Chuanqi Cheng, Yanwei Yu, Lei Cao, Chao Huang, Junyu Dong |
| 2022 | IJCAI | Mutual Distillation Learning Network for Trajectory-User Linking. | Wei Chen, Shuzhe Li, Chao Huang, Yanwei Yu, Yongguo Jiang, Junyu Dong |
| 2022 | KDD | Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation. | Yuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li |
| 2022 | KDD | Multiplex Heterogeneous Graph Convolutional Network. | Pengyang Yu, Chaofan Fu, Yanwei Yu, Chao Huang, Zhongying Zhao, Junyu Dong |
| 2021 | DASFAA | Personalized POI Recommendation: Spatio-Temporal Representation Learning with Social Tie. | Shaojie Dai, Yanwei Yu, Hao Fan, Junyu Dong |
| 2021 | ICDAR | Robust End-to-End Offline Chinese Handwriting Text Page Spotter with Text Kernel. | Zhihao Wang, Yanwei Yu, Yibo Wang, Haixu Long, Fazheng Wang |
| 2021 | ICDM | Temporal Multi-view Graph Convolutional Networks for Citywide Traffic Volume Inference. | Shaojie Dai, Jinshuai Wang, Chao Huang, Yanwei Yu, Junyu Dong |
| 2021 | WWW | Motif-Preserving Dynamic Attributed Network Embedding. | Zhijun Liu, Chao Huang, Yanwei Yu, Junyu Dong |
| 2020 | CIKM | Dynamic Representation Learning for Large-Scale Attributed Networks. | Zhijun Liu, Chao Huang, Yanwei Yu, Peng Song, Baode Fan, Junyu Dong |
| 2020 | CIKM | Fast Attributed Multiplex Heterogeneous Network Embedding. | Zhijun Liu, Chao Huang, Yanwei Yu, Baode Fan, Junyu Dong |
| 2020 | DASFAA | Anomaly Detection in High-Dimensional Data Based on Autoregressive Flow. | Yanwei Yu, Peng Lv, Xiangrong Tong, Junyu Dong |
| 2019 | WWW | Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference. | Xianfeng Tang, Boqing Gong, Yanwei Yu, Huaxiu Yao, Yandong Li, Haiyong Xie, Xiaoyu Wang |
| 2018 | DASFAA | Representation Learning for Large-Scale Dynamic Networks. | Yanwei Yu, Huaxiu Yao, Hongjian Wang, Xianfeng Tang, Zhenhui Li |
| 2017 | MDM | Discovering Evolving Moving Object Groups from Massive-Scale Trajectory Streams. | Ruoshan Lan, Yanwei Yu, Lei Cao, Peng Song, Yingjie Wang |
| 2016 | IDEAL | MR-Swarm: Mining Swarms from Big Spatio-Temporal Trajectories Using MapReduce. | Yanwei Yu, Jianpeng Qi, Yunhui Lu, Yonggang Zhang, Zhaowei Liu |
| 2014 | ICDE | Scalable distance-based outlier detection over high-volume data streams. | Lei Cao, Di Yang, Qingyang Wang, Yanwei Yu, Jiayuan Wang, Elke A. Rundensteiner |
| 2014 | KDD | Detecting moving object outliers in massive-scale trajectory streams. | Yanwei Yu, Lei Cao, Elke A. Rundensteiner, Qin Wang |
| 2012 | KDD | A density-based clustering structure mining algorithm for data streams. | Huan Wang, Yanwei Yu, Qin Wang, Yadong Wan |
| 2011 | PIMRC | A practical indoor TOA ranging error model for localization algorithm. | Jie He, Qin Wang, Qianxiong Zhang, Bingfeng Liu, Yanwei Yu |
| 2006 | ISNN | No-Reference Perceptual Quality Assessment of JPEG Images Using General Regression Neural Network. | Yanwei Yu, Zhengding Lu, Hefei Ling, Fuhao Zou |