| 2026 | AAAI | Branch, or Layer? Zeroth-Order Optimization for Continual Learning of Vision-Language Models. | Ziwei Liu, Borui Kang, Wei Li, Hangjie Yuan, Yanbing Yang, Wenbin Li, Yifan Zhu, Tao Feng, Jun Luo |
| 2026 | ICDE | PORCA: Root Cause Analysis with Partially Observed Data. | Chang Gong, Di Yao, Jin Wang, Wenbin Li, Lanting Fang, Yongtao Xie, Kaiyu Feng, Peng Han, Jingping Bi |
| 2025 | AAAI | Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP. | Yayuan Li, Jintao Guo, Lei Qi, Wenbin Li, Yinghuan Shi |
| 2025 | AAAI | Effective and Efficient Representation Learning for Flight Trajectories. | Shuo Liu, Wenbin Li, Di Yao, Jingping Bi |
| 2025 | CVPR | Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration. | Yiyang Chen, Tianyu Ding, Lei Wang, Jing Huo, Yang Gao, Wenbin Li |
| 2025 | ICCV | Adapting In-Domain Few-Shot Segmentation to New Domains Without Source Domain Retraining. | Qi Fan, Kaiqi Liu, Nian Liu, Hisham Cholakkal, Rao Muhammad Anwer, Wenbin Li, Yang Gao |
| 2025 | ICCV | Dynamic Multi-Layer Null Space Projection for Vision-Language Continual Learning. | Borui Kang, Lei Wang, Zhiping Wu, Tao Feng, Yawen Li, Yang Gao, Wenbin Li |
| 2025 | ICML | Reducing Variance of Stochastic Optimization for Approximating Nash Equilibria in Normal-Form Games. | Linjian Meng, Wubing Chen, Wenbin Li, Tianpei Yang, Youzhi Zhang, Yang Gao |
| 2025 | WWW | STBench: Assessing the Ability of Large Language Models in Spatio-Temporal Analysis. | Wenbin Li, Di Yao, Ruibo Zhao, Wenjie Chen, Zijie Xu, Chengxue Luo, Chang Gong, Quanliang Jing, Haining Tan, Jingping Bi |
| 2025 | TrustCom | Real-Time Forgery Detection via Dynamic Frequency-Domain Selection and Phoneme Alignment. | Wenbin Li, Peng Yang, Xiaoyu Geng, Kesong Wu, Hongtao Yu |
| 2024 | AAAI | Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning. | Chao Li, Yupeng Zhang, Jianqi Wang, Yujing Hu, Shaokang Dong, Wenbin Li, Tangjie Lv, Changjie Fan, Yang Gao |
| 2024 | BMVC | Uni-Mlip: Unified Self-Supervision for Medical Vision Language Pre-training. | Ameera Ali Bawazir, Kebin Wu, Wenbin Li |
| 2024 | CVPR | Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation. | Wenxiao Deng, Wenbin Li, Tianyu Ding, Lei Wang, Hongguang Zhang, Kuihua Huang, Jing Huo, Yang Gao |
| 2024 | ICAART | AccidentGPT: Large Multi-Modal Foundation Model for Traffic Accident Analysis. | Kebin Wu, Wenbin Li, Xiaofei Xiao |
| 2024 | ICASSP | Multi-Agent Exploration via Self-Learning and Social Learning. | Shaokang Dong, Chao Li, Wubing Chen, Hongye Cao, Wenbin Li, Yang Gao |
| 2024 | ICASSP | Multi-Agent Sparse Interaction Modeling is an Anomaly Detection Problem. | Chao Li, Shaokang Dong, Shangdong Yang, Hongye Cao, Wenbin Li, Yang Gao |
| 2024 | ICASSP | Dynamic Replay Training for Class-Incremental Learning. | Yan Yang, Dongdong Ren, Chenglei Peng, Jing Huo, Wenbin Li, Yang Gao |
| 2024 | ICDE | CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection. | Wenbin Li, Di Yao, Chang Gong, Xiaokai Chu, Quanliang Jing, Xiaolei Zhou, Yuxuan Zhang, Yunxia Fan, Jingping Bi |
| 2024 | ICDM | AnomalyLLM: Few-Shot Anomaly Edge Detection for Dynamic Graphs Using Large Language Models. | Shuo Liu, Di Yao, Lanting Fang, Zhetao Li, Wenbin Li, Kaiyu Feng, Xiaowen Ji, Jingping Bi |
| 2024 | ICLR | InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules. | Yanqi Bao, Tianyu Ding, Jing Huo, Wenbin Li, Yuxin Li, Yang Gao |
| 2024 | ICML | Safe and Robust Subgame Exploitation in Imperfect Information Games. | Zhenxing Ge, Zheng Xu, Tianyu Ding, Linjian Meng, Bo An, Wenbin Li, Yang Gao |
| 2024 | ICPR | Rare Fungi Image Classification Based on Few-Shot Learning and Data Augmentation. | Jiayi Hao, Yulin Feng, Wenbin Li, Jiebo Luo |
| 2024 | IJCAI | DTS-TPT: Dual Temporal-Sync Test-time Prompt Tuning for Zero-shot Activity Recognition. | Rui Yan, Hongyu Qu, Xiangbo Shu, Wenbin Li, Jinhui Tang, Tieniu Tan |
| 2024 | IJCAI | STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations. | Chao Li, Yujing Hu, Shangdong Yang, Tangjie Lv, Changjie Fan, Wenbin Li, Chongjie Zhang, Yang Gao |
| 2024 | IJCNN | IPixMatch: Boost Semi-supervised Semantic Segmentation with Inter-Pixel Relation. | Kebin Wu, Wenbin Li, Xiaofei Xiao |
| 2024 | IROS | Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot. | Philip Lorimer, Jack Saunders, Alan Hunter, Wenbin Li |
| 2024 | IROS | Identifying Optimal Launch Sites of High-Altitude Latex-Balloons using Bayesian Optimisation for the Task of Station-Keeping. | Jack Saunders, Sajad Saeedi G., Adam Hartshorne, Binbin Xu, zgr Simsek, Alan Hunter, Wenbin Li |
| 2024 | IROS | Visual Perception System for Autonomous Driving. | Qi Zhang, Siyuan Gou, Wenbin Li |
| 2024 | SIGGRAPH | IntrinsicDiffusion: Joint Intrinsic Layers from Latent Diffusion Models. | Jundan Luo, Duygu Ceylan, Jae Shin Yoon, Nanxuan Zhao, Julien Philip, Anna Frhstck, Wenbin Li, Christian Richardt, Tuanfeng Y. Wang |
| 2024 | WSDM | CausalMMM: Learning Causal Structure for Marketing Mix Modeling. | Chang Gong, Di Yao, Lei Zhang, Sheng Chen, Wenbin Li, Yueyang Su, Jingping Bi |
| 2023 | AAAI | Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient. | Wubing Chen, Wenbin Li, Xiao Liu, Shangdong Yang, Yang Gao |
| 2023 | CVPR | Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery. | Wenbin Li, Zhichen Fan, Jing Huo, Yang Gao |
| 2023 | DSAA | Opportunistic Air Quality Monitoring and Forecasting with Expandable Graph Neural Networks. | Jingwei Zuo, Wenbin Li, Michele Baldo, Hakim Hacid |
| 2023 | ICASSP | Convergence Analysis of Graphical Game-Based Nash Q-Learning using the Interaction Detection Signal of N-Step Return. | Yunkai Zhuang, Shangdong Yang, Wenbin Li, Yang Gao |
| 2023 | ICCV | MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters. | Min Zhang, Junkun Yuan, Yue He, Wenbin Li, Zhengyu Chen, Kun Kuang |
| 2023 | IROS | Resource-Constrained Station-Keeping for Latex Balloons Using Reinforcement Learning. | Jack Saunders, Loc Prenevost, zgr Simsek, Alan Hunter, Wenbin Li |
| 2023 | ICRA | Parallel Reinforcement Learning Simulation for Visual Quadrotor Navigation. | Jack Saunders, Sajad Saeedi, Wenbin Li |
| 2023 | KDD | Causal Discovery from Temporal Data. | Chang Gong, Di Yao, Chuzhe Zhang, Wenbin Li, Jingping Bi, Lun Du, Jin Wang |
| 2022 | ECCV | Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation. | Min Zhang, Siteng Huang, Wenbin Li, Donglin Wang |
| 2022 | ICMLA | Deep object detection for waterbird monitoring using aerial imagery. | Krish Kabra, Alexander Xiong, Wenbin Li, Minxuan Luo, William Lu, Tianjiao Yu, Jiahui Yu, Dhananjay Singh, Raul Garcia, Maojie Tang, Hank Arnold, Anna Vallery, Richard Gibbons, Arko Barman |
| 2022 | KDD | Few-shot Learning for Trajectory-based Mobile Game Cheating Detection. | Yueyang Su, Di Yao, Xiaokai Chu, Wenbin Li, Jingping Bi, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng |
| 2022 | WWW | FingFormer: Contrastive Graph-based Finger Operation Transformer for Unsupervised Mobile Game Bot Detection. | Wenbin Li, Xiaokai Chu, Yueyang Su, Di Yao, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng, Jingping Bi |
| 2022 | UIC | Design of Autonomous Driving Verification Platform Based on Udacity Vehicle Simulator. | Wufei Wu, Bo Fan, Yulei He, Wenbo Li, Wenbin Li, Zemin Liu, Wenbo Wan, Yong Xie |
| 2021 | DASFAA | Optimal Sequenced Route Query with POI Preferences. | Wenbin Li, Huaijie Zhu, Wei Liu, Jian Yin, Jianliang Xu |
| 2021 | ICCV | LoFGAN: Fusing Local Representations for Few-shot Image Generation. | Zheng Gu, Wenbin Li, Jing Huo, Lei Wang, Yang Gao |
| 2021 | ICCV | Manifold Alignment for Semantically Aligned Style Transfer. | Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao |
| 2020 | AAAI | Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio. | Xiao Liu, Wenbin Li, Jing Huo, Lili Yao, Yang Gao |
| 2020 | AAAI | Deep Embedded Complementary and Interactive Information for Multi-View Classification. | Jinglin Xu, Wenbin Li, Xinwang Liu, Dingwen Zhang, Ji Liu, Junwei Han |
| 2020 | CVPR | RGBD-Dog: Predicting Canine Pose from RGBD Sensors. | Sinead Kearney, Wenbin Li, Martin Parsons, Kwang In Kim, Darren Cosker |
| 2020 | ICIP | Progressive Point To Set Metric Learning For Semi-Supervised Few-Shot Classification. | Pengfei Zhu, Mingqi Gu, Wenbin Li, Changqing Zhang, Qinghua Hu |
| 2020 | IJCAI | Learning Task-aware Local Representations for Few-shot Learning. | Chuanqi Dong, Wenbin Li, Jing Huo, Zheng Gu, Yang Gao |
| 2020 | IJCAI | Asymmetric Distribution Measure for Few-shot Learning. | Wenbin Li, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao, Jiebo Luo |
| 2020 | IJCAI | Biased Feature Learning for Occlusion Invariant Face Recognition. | Changbin Shao, Jing Huo, Lei Qi, Zhenhua Feng, Wenbin Li, Chuanqi Dong, Yang Gao |
| 2020 | IJCAI | Joint Multi-view 2D Convolutional Neural Networks for 3D Object Classification. | Jinglin Xu, Xiangsen Zhang, Wenbin Li, Xinwang Liu, Junwei Han |
| 2020 | MICCAI | Alleviating the Incompatibility Between Cross Entropy Loss and Episode Training for Few-Shot Skin Disease Classification. | Wei Zhu, Haofu Liao, Wenbin Li, Weijian Li, Jiebo Luo |
| 2020 | WorldCIST | A Survey of AI Accelerators for Edge Environment. | Wenbin Li, Matthieu Liewig |
| 2020 | WorldCIST | A Reference Model for Smart Home Environment: Functions, Semantics and Deployment. | Wenbin Li, Matthieu Liewig, Fano Ramparany |
| 2019 | AAAI | Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning. | Wenbin Li, Jinglin Xu, Jing Huo, Lei Wang, Yang Gao, Jiebo Luo |
| 2019 | CVPR | Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning. | Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo |
| 2019 | ICRA | Characterizing Visual Localization and Mapping Datasets. | Sajad Saeedi, Eduardo D. C. Carvalho, Wenbin Li, Dimos Tzoumanikas, Stefan Leutenegger, Paul H. J. Kelly, Andrew J. Davison |
| 2019 | ICRA | MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM. | Binbin Xu, Wenbin Li, Dimos Tzoumanikas, Michael Bloesch, Andrew J. Davison, Stefan Leutenegger |
| 2018 | ACCV | A Joint Local and Global Deep Metric Learning Method for Caricature Recognition. | Wenbin Li, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo |
| 2018 | BMVC | Motion Estimation and Segmentation of Natural Phenomena. | Da Chen, Wenbin Li, Peter Hall |
| 2018 | BMVC | WebCaricature: a benchmark for caricature recognition. | Jing Huo, Wenbin Li, Yinghuan Shi, Yang Gao, Hujun Yin |
| 2018 | BMVC | InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset. | Wenbin Li, Sajad Saeedi, John McCormac, Ronald Clark, Dimos Tzoumanikas, Qing Ye, Yuzhong Huang, Rui Tang, Stefan Leutenegger |
| 2018 | ECCV | Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions. | Misha Wagner, Hector Basevi, Rakshith Shetty, Wenbin Li, Mateusz Malinowski, Mario Fritz, Ales Leonardis |
| 2018 | ICPR | A Novel Two-Stage Deep Method for Mitosis Detection in Breast Cancer Histology Images. | Minglin Ma, Yinghuan Shi, Wenbin Li, Yang Gao, Jun Xu |
| 2017 | AAAI | Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks. | Yinghuan Shi, Wenbin Li, Yang Gao, Longbing Cao, Dinggang Shen |
| 2017 | ICRA | Visual stability prediction for robotic manipulation. | Wenbin Li, Ales Leonardis, Mario Fritz |
| 2017 | IROS | Dense RGB-D-inertial SLAM with map deformations. | Tristan Laidlow, Michael Bloesch, Wenbin Li, Stefan Leutenegger |
| 2016 | ACCV | Dense Motion Estimation for Smoke. | Da Chen, Wenbin Li, Peter Hall |
| 2016 | CEC | Prediction of Pareto dominance by reducing equivalent and redundent dimensions in decision vectors. | Guanqi Guo, Caiying Feng, Wenbin Li, Bo Yang |
| 2016 | WACV | Recognition of ongoing complex activities by sequence prediction over a hierarchical label space. | Wenbin Li, Mario Fritz |
| 2015 | ICIP | Interactive image segmentation via cascaded metric learning. | Wenbin Li, Yinghuan Shi, Wanqi Yang, Hao Wang, Yang Gao |
| 2015 | RE | Measuring Requirement Quality to Predict Testability. | Jane Huffman Hayes, Wenbin Li, Tingting Yu, Xue Han, Mark Hays, Clinton Woodson |
| 2015 | REFSQ | Towards More Efficient Requirements Formalization: A Study. | Wenbin Li, Jane Huffman Hayes, Miroslaw Truszczynski |
| 2014 | RE | Weka meets TraceLab: Toward convenient classification: Machine learning for requirements engineering problems: A position paper. | Jane Huffman Hayes, Wenbin Li, Mona Rahimi |
| 2014 | WACV | Robust optical flow estimation for continuous blurred scenes using RGB-motion imaging and directional filtering. | Wenbin Li, Yang Chen, JeeHang Lee, Gang Ren, Darren Cosker |
| 2014 | REFSQ | Answer-Set Programming in Requirements Engineering. | Wenbin Li, David Brown, Jane Huffman Hayes, Miroslaw Truszczynski |
| 2013 | CHI | Improving two-thumb text entry on touchscreen devices. | Antti Oulasvirta, Anna Reichel, Wenbin Li, Yan Zhang, Myroslav Bachynskyi, Keith Vertanen, Per Ola Kristensson |
| 2013 | CVPR | Optical Flow Estimation Using Laplacian Mesh Energy. | Wenbin Li, Darren Cosker, Matthew Brown, Rui Tang |
| 2013 | ICSE | Traceability Challenge 2013: Query+ enhancement for semantic tracing (QuEST): Software verification and validation research laboratory (SVVRL) of the University of Kentucky. | Wenbin Li, Jane Huffman Hayes |
| 2013 | ICSE | Trace Matrix Analyzer (TMA). | Wenbin Li, Jane Huffman Hayes, Fan Yang, Ken Imai, Jesse Yannelli, Chase Carnes, Maureen Doyle |
| 2013 | ICWS | Towards a Capability Model for Web Service Composition. | Wenbin Li, Youakim Badr, Frdrique Biennier |
| 2013 | IGARSS | Analysis of Beijing's urban heat-island under the influence of extrme heat based on HJ-1B data. | Wenbin Li, Yonghua Sun, Dan Meng, Xiaojuan Li |
| 2013 | SAC | Service farming: an ad-hoc and QoS-aware web service composition approach. | Wenbin Li, Youakim Badr, Frdrique Biennier |
| 2012 | ACCV | An Anchor Patch Based Optimization Framework for Reducing Optical Flow Drift in Long Image Sequences. | Wenbin Li, Darren Cosker, Matthew Brown |
| 2012 | ECCV | Recognizing Materials from Virtual Examples. | Wenbin Li, Mario Fritz |
| 2012 | ICSE | Toward actionable, broadly accessible contests in Software Engineering. | Jane Cleland-Huang, Yonghee Shin, Ed Keenan, Adam Czauderna, Greg Leach, Evan Moritz, Malcom Gethers, Denys Poshyvanyk, Jane Huffman Hayes, Wenbin Li |
| 2012 | MEDES | Digital ecosystems: challenges and prospects. | Wenbin Li, Youakim Badr, Frdrique Biennier |
| 2011 | ICSE | Software verification and validation research laboratory (SVVRL) of the University of Kentucky: traceability challenge 2011: language translation. | Jane Huffman Hayes, Hakim Sultanov, Wei-Keat Kong, Wenbin Li |
| 2010 | CIS | Research on Validity Evaluation of Mandatory Access Control Policy under LSM Framework. | Gaozu Wang, Weihuai Li, Wenbin Li |
| 2010 | ICIP | Multi-manifold modeling for head pose estimation. | Xiangyang Liu, Hongtao Lu, Wenbin Li |
| 2009 | CSCWD | CPLD-based optimal control for wireless remote control pruning machine. | Junmei Zhang, Wenbin Li, Chao Sa, Deming Wang, Dongxu Cui |
| 2009 | HIS | Using Multi-phase Cost-Sensitive Learning to Filtering Spam. | Wenbin Li, Yiying Cheng, TaiFeng Liu, Xindong Zhang, Ning Zhong |
| 2007 | CSCWD | Development of a CPLD Based Wireless Remote Control System of Pruning Machine for Plantation Forest. | Junmei Zhang, Wenbin Li, Chao Sa, Deming Wang, Patrick S. K. Chua, F. L. Tan |
| 2006 | ISMIS | Combining Multiple Email Filters Based on Multivariate Statistical Analysis. | Wenbin Li, Ning Zhong, Chunnian Liu |