Li, Bin

160 publications

MLJ 2026 FDGReID: Federated Domain Generalization for Person Re-Identification Ke Niu, Haiyang Yu, Teng Fu, Mengyang Zhao, Bin Li, Xuelin Qian, Xiangyang Xue

MLJ 2026 Low-Light Scene Text Image Enhancement in the Wild Haiyang Yu, Wei Lu, Yinglian Zhu, Ke Niu, Xiangyang Xue, Bin Li

CVPR 2025 5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition Tasks Dongshuo Yin, Leiyi Hu, Bin Li, Youqun Zhang, Xue Yang

ICLR 2025 Accurate and Scalable Graph Neural Networks via Message Invariance Zhihao Shi, Jie Wang, Zhiwei Zhuang, Xize Liang, Bin Li, Feng Wu

NeurIPS 2025 AttentionPredictor: Temporal Patterns Matter for KV Cache Compression Qingyue Yang, Jie Wang, Xing Li, Zhihai Wang, Chen Chen, Lei Chen, Xianzhi Yu, Wulong Liu, Jianye Hao, Mingxuan Yuan, Bin Li

NeurIPS 2025 Benchmarking End-to-End Performance of AI-Based Chip Placement Algorithms Zhihai Wang, Zijie Geng, Zhaojie Tu, Jie Wang, Yuxi Qian, Zhexuan Xu, Ziyan Liu, Siyuan Xu, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Bin Li, Feng Wu

ICML 2025 Beyond Task-Specific Reasoning: A Unified Conditional Generative Framework for Abstract Visual Reasoning Fan Shi, Bin Li, Xiangyang Xue

NeurIPS 2025 Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Yue Zhou, Xinan He, Kaiqing Lin, Bing Fan, Feng Ding, Bin Li

NeurIPS 2025 CReFT-CAD: Boosting Orthographic Projection Reasoning for CAD via Reinforcement Fine-Tuning Ke Niu, Zhuofan Chen, Haiyang Yu, Yuwen Chen, Teng Fu, Mengyang Zhao, Bin Li, Xiangyang Xue

ICCV 2025 ChatReID: Open-Ended Interactive Person Retrieval via Hierarchical Progressive Tuning for Vision Language Models Ke Niu, Haiyang Yu, Mengyang Zhao, Teng Fu, Siyang Yi, Wei Lu, Bin Li, Xuelin Qian, Xiangyang Xue

IJCAI 2025 Code-BT: A Code-Driven Approach to Behavior Tree Generation for Robot Tasks Planning with Large Language Models Siyang Zhang, Bin Li, Jingtao Qi, Xueying Wang, Fu Li, Jianan Wang, En Zhu, Jinjing Sun

ICCV 2025 DLF: Extreme Image Compression with Dual-Generative Latent Fusion Naifu Xue, Zhaoyang Jia, Jiahao Li, Bin Li, Yuan Zhang, Yan Lu

NeurIPS 2025 Deep Video Discovery: Agentic Search with Tool Use for Long-Form Video Understanding Xiaoyi Zhang, Zhaoyang Jia, Zongyu Guo, Jiahao Li, Bin Li, Houqiang Li, Yan Lu

ICLR 2025 Differentiable Integer Linear Programming Zijie Geng, Jie Wang, Xijun Li, Fangzhou Zhu, Jianye Hao, Bin Li, Feng Wu

MLJ 2025 Distribution Aligned Semantics Adaption for Lifelong Person Re-Identification Qizao Wang, Xuelin Qian, Bin Li, Xiangyang Xue

AAAI 2025 Foundation Model Driven Appearance Extraction for Robust Multiple Object Tracking Teng Fu, Haiyang Yu, Ke Niu, Bin Li, Xiangyang Xue

NeurIPS 2025 Guard Me if You Know Me: Protecting Specific Face-Identity from Deepfakes Kaiqing Lin, Zhiyuan Yan, Ke-Yue Zhang, Li Hao, Yue Zhou, Yuzhen Lin, Weixiang Li, Taiping Yao, Shouhong Ding, Bin Li

MLJ 2025 Learning Global Object-Centric Representations via Disentangled Slot Attention Tonglin Chen, Yinxuan Huang, Zhimeng Shen, Jinghao Huang, Bin Li, Xiangyang Xue

ICLR 2025 Learning Robust Representations with Long-Term Information for Generalization in Visual Reinforcement Learning Rui Yang, Jie Wang, Qijie Peng, Ruibo Guo, Guoping Wu, Bin Li

NeurIPS 2025 LogicTree: Improving Complex Reasoning of LLMs via Instantiated Multi-Step Synthetic Logical Data Zehao Wang, Lin Yang, Jie Wang, Kehan Wang, Hanzhu Chen, Bin Wang, Jianye Hao, Defu Lian, Bin Li, Enhong Chen

ICCV 2025 MATE: Motion-Augmented Temporal Consistency for Event-Based Point Tracking Han Han, Wei Zhai, Yang Cao, Bin Li, Zheng-jun Zha

ICCV 2025 Multi-Modal Multi-Platform Person Re-Identification: Benchmark and Method Ruiyang Ha, Songyi Jiang, Bin Li, Bikang Pan, Yihang Zhu, Junjie Zhang, Xiatian Zhu, Shaogang Gong, Jingya Wang

ICML 2025 One-Shot Heterogeneous Federated Learning with Local Model-Guided Diffusion Models Mingzhao Yang, Shangchao Su, Bin Li, Xiangyang Xue

NeurIPS 2025 One-Step Diffusion-Based Image Compression with Semantic Distillation Naifu Xue, Zhaoyang Jia, Jiahao Li, Bin Li, Yuan Zhang, Yan Lu

CVPR 2025 PICD: Versatile Perceptual Image Compression with Diffusion Rendering Tongda Xu, Jiahao Li, Bin Li, Yan Wang, Ya-Qin Zhang, Yan Lu

AAAI 2025 Query-Efficient Attack for Black-Box Image Inpainting Forensics via Reinforcement Learning Xianbo Mo, Shunquan Tan, Bin Li, Jiwu Huang

AAAI 2025 SPAC: Sparse Partitioning and Adaptive Core Tensor Pruning Model for Knowledge Graph Completion Chuhong Yang, Bin Li, Nan Wu

AAAI 2025 Standing on the Shoulders of Giants: Reprogramming Visual-Language Model for General Deepfake Detection Kaiqing Lin, Yuzhen Lin, Weixiang Li, Taiping Yao, Bin Li

IJCAI 2025 Strategyproofness and Monotone Allocation of Auction in Social Networks Yuhang Guo, Dong Hao, Bin Li, Mingyu Xiao, Bakh Khoussainov

MLJ 2025 Synthesizing Efficient Data with Diffusion Models for Person Re-Identification Pre-Training Ke Niu, Haiyang Yu, Xuelin Qian, Teng Fu, Bin Li, Xiangyang Xue

CVPR 2025 Towards Practical Real-Time Neural Video Compression Zhaoyang Jia, Bin Li, Jiahao Li, Wenxuan Xie, Linfeng Qi, Houqiang Li, Yan Lu

NeurIPS 2025 VLForgery Face Triad: Detection, Localization and Attribution via Multimodal Large Language Models Xinan He, Yue Zhou, Bing Fan, Bin Li, Guopu Zhu, Feng Ding

AAAI 2025 VQLTI: Long-Term Tropical Cyclone Intensity Forecasting with Physical Constraints Xinyu Wang, Lei Liu, Kang Chen, Tao Han, Bin Li, Lei Bai

ICLR 2024 Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling Hong Wang, Zhongkai Hao, Jie Wang, Zijie Geng, Zhen Wang, Bin Li, Feng Wu

CVPR 2024 CMA: A Chromaticity mAP Adapter for Robust Detection of Screen-Recapture Document Images Changsheng Chen, Liangwei Lin, Yongqi Chen, Bin Li, Jishen Zeng, Jiwu Huang

MLJ 2024 Chinese Character Recognition with Radical-Structured Stroke Trees Haiyang Yu, Jingye Chen, Bin Li, Xiangyang Xue

ICML 2024 Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models Qitan Lv, Jie Wang, Hanzhu Chen, Bin Li, Yongdong Zhang, Feng Wu

MLJ 2024 Compositional Scene Modeling with Global Object-Centric Representations Tonglin Chen, Zhimeng Shen, Bin Li, Xiangyang Xue

CVPR 2024 DiffForensics: Leveraging Diffusion Prior to Image Forgery Detection and Localization Zeqin Yu, Jiangqun Ni, Yuzhen Lin, Haoyi Deng, Bin Li

AAAI 2024 Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks Junjie Chen, Jiahao Li, Chen Song, Bin Li, Qingcai Chen, Hongchang Gao, Wendy Hui Wang, Zenglin Xu, Xinghua Shi

ECCV 2024 EAFormer: Scene Text Segmentation with Edge-Aware Transformers Haiyang Yu, Teng Fu, Bin Li, Xiangyang Xue

ICLR 2024 Efficient Backdoor Attacks for Deep Neural Networks in Real-World Scenarios Ziqiang Li, Hong Sun, Pengfei Xia, Heng Li, Beihao Xia, Yi Wu, Bin Li

AAAI 2024 Enhanced Fine-Grained Motion Diffusion for Text-Driven Human Motion Synthesis Dong Wei, Xiaoning Sun, Huaijiang Sun, Shengxiang Hu, Bin Li, Weiqing Li, Jianfeng Lu

AAAI 2024 Exploring One-Shot Semi-Supervised Federated Learning with Pre-Trained Diffusion Models Mingzhao Yang, Shangchao Su, Bin Li, Xiangyang Xue

ECCV 2024 Fake It till You Make It: Curricular Dynamic Forgery Augmentations Towards General Deepfake Detection Yuzhen Lin, Wentang Song, Bin Li, Yuezun Li, Jiangqun Ni, Han Chen, Qiushi Li

CVPR 2024 Fast Adaptation for Human Pose Estimation via Meta-Optimization Shengxiang Hu, Huaijiang Sun, Bin Li, Dong Wei, Weiqing Li, Jianfeng Lu

ECCV 2024 FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients Shangchao Su, Bin Li, Xiangyang Xue

AAAI 2024 Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning Shangchao Su, Mingzhao Yang, Bin Li, Xiangyang Xue

NeurIPS 2024 FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge Hanzhe Li, Jiaran Zhou, Yuezun Li, Baoyuan Wu, Bin Li, Junyu Dong

CVPR 2024 Generative Latent Coding for Ultra-Low Bitrate Image Compression Zhaoyang Jia, Jiahao Li, Bin Li, Houqiang Li, Yan Lu

ECCV 2024 Human Motion Forecasting in Dynamic Domain Shifts: A Homeostatic Continual Test-Time Adaptation Framework Qiongjie Cui, Huaijiang Sun, Bin Li, Jianfeng Lu, Weiqing Li

ECCV 2024 Idling Neurons, Appropriately Lenient Workload During Fine-Tuning Leads to Better Generalization Hongjing Niu, Hanting Li, Bin Li, Feng Zhao

NeurIPS 2024 Improving Viewpoint-Independent Object-Centric Representations Through Active Viewpoint Selection Yinxuan Huang, Chengmin Gao, Bin Li, Xiangyang Xue

ECCV 2024 Infinite-ID: Identity-Preserved Personalization via ID-Semantics Decoupling Paradigm Yi Wu, Ziqiang Li, Heliang Zheng, Chaoyue Wang, Bin Li

CVPR 2024 InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks Zhe Chen, Jiannan Wu, Wenhai Wang, Weijie Su, Guo Chen, Sen Xing, Muyan Zhong, Qinglong Zhang, Xizhou Zhu, Lewei Lu, Bin Li, Ping Luo, Tong Lu, Yu Qiao, Jifeng Dai

ECCV 2024 Long-Term Temporal Context Gathering for Neural Video Compression Linfeng Qi, Zhaoyang Jia, Jiahao Li, Bin Li, Houqiang Li, Yan Lu

NeurIPS 2024 MILP-StuDio: MILP Instance Generation via Block Structure Decomposition Haoyang Liu, Jie Wang, Wanbo Zhang, Zijie Geng, Yufei Kuang, Xijun Li, Yongdong Zhang, Bin Li, Feng Wu

ICLR 2024 Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Kang Liu, Jun Zhao

CVPR 2024 MoML: Online Meta Adaptation for 3D Human Motion Prediction Xiaoning Sun, Huaijiang Sun, Bin Li, Dong Wei, Weiqing Li, Jianfeng Lu

ICLR 2024 NeRM: Learning Neural Representations for High-Framerate Human Motion Synthesis Dong Wei, Huaijiang Sun, Bin Li, Xiaoning Sun, Shengxiang Hu, Weiqing Li, Jianfeng Lu

CVPR 2024 Neural Video Compression with Feature Modulation Jiahao Li, Bin Li, Yan Lu

ICLR 2024 Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework Yufei Kuang, Jie Wang, Haoyang Liu, Fangzhou Zhu, Xijun Li, Jia Zeng, Jianye Hao, Bin Li, Feng Wu

MLJ 2024 Style Spectroscope: Improve Interpretability and Controllability Through Fourier Analysis Zhiyu Jin, Xuli Shen, Bin Li, Xiangyang Xue

ICLR 2024 Towards Generative Abstract Reasoning: Completing Raven’s Progressive Matrix via Rule Abstraction and Selection Fan Shi, Bin Li, Xiangyang Xue

NeurIPS 2024 Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework Zhihai Wang, Jie Wang, Qingyue Yang, Yinqi Bai, Xing Li, Lei Chen, Jianye Hao, Mingxuan Yuan, Bin Li, Yongdong Zhang, Feng Wu

NeurIPS 2024 Uncertainty-Based Offline Variational Bayesian Reinforcement Learning for Robustness Under Diverse Data Corruptions Rui Yang, Jie Wang, Guoping Wu, Bin Li

AAAI 2024 Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport Bin Li, Ye Shi, Qian Yu, Jingya Wang

NeurIPS 2024 Vision Model Pre-Training on Interleaved Image-Text Data via Latent Compression Learning Chenyu Yang, Xizhou Zhu, Jinguo Zhu, Weijie Su, Junjie Wang, Xuan Dong, Wenhai Wang, Lewei Lu, Bin Li, Jie Zhou, Yu Qiao, Jifeng Dai

ICCV 2023 Chinese Text Recognition with a Pre-Trained CLIP-like Model Through Image-IDS Aligning Haiyang Yu, Xiaocong Wang, Bin Li, Xiangyang Xue

ICLR 2023 Compositional Law Parsing with Latent Random Functions Fan Shi, Bin Li, Xiangyang Xue

CVPR 2023 DeFeeNet: Consecutive 3D Human Motion Prediction with Deviation Feedback Xiaoning Sun, Huaijiang Sun, Bin Li, Dong Wei, Weiqing Li, Jianfeng Lu

NeurIPS 2023 Domain Re-Modulation for Few-Shot Generative Domain Adaptation Yi Wu, Ziqiang Li, Chaoyue Wang, Heliang Zheng, Shanshan Zhao, Bin Li, Dacheng Tao

MLJ 2023 Dynamic Customer Segmentation via Hierarchical Fragmentation-Coagulation Processes Ling Luo, Bin Li, Xuhui Fan, Yang Wang, Irena Koprinska, Fang Chen

ICLR 2023 EVC: Towards Real-Time Neural Image Compression with Mask Decay Wang Guo-Hua, Jiahao Li, Bin Li, Yan Lu

AAAI 2023 Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction Dong Wei, Huaijiang Sun, Bin Li, Jianfeng Lu, Weiqing Li, Xiaoning Sun, Shengxiang Hu

CVPR 2023 Learning Accurate 3D Shape Based on Stereo Polarimetric Imaging Tianyu Huang, Haoang Li, Kejing He, Congying Sui, Bin Li, Yun-Hui Liu

AAAI 2023 Meta-Auxiliary Learning for Adaptive Human Pose Prediction Qiongjie Cui, Huaijiang Sun, Jianfeng Lu, Bin Li, Weiqing Li

CVPR 2023 Motion Information Propagation for Neural Video Compression Linfeng Qi, Jiahao Li, Bin Li, Houqiang Li, Yan Lu

CVPR 2023 Neural Video Compression with Diverse Contexts Jiahao Li, Bin Li, Yan Lu

IJCAI 2023 Orientation-Independent Chinese Text Recognition in Scene Images Haiyang Yu, Xiaocong Wang, Bin Li, Xiangyang Xue

CVPR 2023 Siamese Image Modeling for Self-Supervised Vision Representation Learning Chenxin Tao, Xizhou Zhu, Weijie Su, Gao Huang, Bin Li, Jie Zhou, Yu Qiao, Xiaogang Wang, Jifeng Dai

ICCV 2023 Test-Time Personalizable Forecasting of 3D Human Poses Qiongjie Cui, Huaijiang Sun, Jianfeng Lu, Weiqing Li, Bin Li, Hongwei Yi, Haofan Wang

ECML-PKDD 2023 The Good, the Bad, and the Average: Benchmarking of Reconstruction Based Multivariate Time Series Anomaly Detection Arn Baudzus, Bin Li, Adnane Jadid, Emmanuel Müller

UAI 2023 Time-Conditioned Generative Modeling of Object-Centric Representations for Video Decomposition and Prediction Chengmin Gao, Bin Li

IJCAI 2023 Towards Accurate Video Text Spotting with Text-Wise Semantic Reasoning Xinyan Zu, Haiyang Yu, Bin Li, Xiangyang Xue

CVPR 2023 Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information Weijie Su, Xizhou Zhu, Chenxin Tao, Lewei Lu, Bin Li, Gao Huang, Yu Qiao, Xiaogang Wang, Jie Zhou, Jifeng Dai

NeurIPS 2023 Training-Free Diffusion Model Adaptation for Variable-Sized Text-to-Image Synthesis Zhiyu Jin, Xuli Shen, Bin Li, Xiangyang Xue

AAAI 2022 A Novel Initial Reminder Framework for Acronym Extraction Xiusheng Huang, Bin Li, Fei Xia, Yixuan Weng

AAAI 2022 ADBCMM : Acronym Disambiguation by Building Counterfactuals and Multilingual Mixing Yixuan Weng, Fei Xia, Bin Li, Xiusheng Huang, Shizhu He

ECML-PKDD 2022 ADEPT: Anomaly Detection, Explanation and Processing for Time Series with a Focus on Energy Consumption Data Benedikt Tobias Müller, Marvin Ender, Jan Erik Swiadek, Mengcheng Jin, Simon Winkel, Dominik Niedziela, Bin Li, Jelle Hüntelmann, Emmanuel Müller

AAAI 2022 ANACONDA: Adversarial Training with iNtrust Loss in ACrONym DisambiguAtion Fei Xia, Bin Li, Yixuan Weng, Xiusheng Huang, Shizhu He

ICLR 2022 Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game Haobo Fu, Weiming Liu, Shuang Wu, Yijia Wang, Tao Yang, Kai Li, Junliang Xing, Bin Li, Bo Ma, Qiang Fu, Yang Wei

ACML 2022 Contrastive Inductive Bias Controlling Networks for Reinforcement Learning Dongxu Li, Shaochen Wang, Kang Chen, Bin Li

IJCAI 2022 Data-Efficient Backdoor Attacks Pengfei Xia, Ziqiang Li, Wei Zhang, Bin Li

NeurIPSW 2022 Enabling the Visualization of Distributional Shift Using Shapley Values Bin Li, Chiara Balestra, Emmanuel Müller

ICML 2022 Equivalence Analysis Between Counterfactual Regret Minimization and Online Mirror Descent Weiming Liu, Huacong Jiang, Bin Li, Houqiang Li

ECCV 2022 FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs Ziqiang Li, Chaoyue Wang, Heliang Zheng, Jing Zhang, Bin Li

IJCAI 2022 Learning General Gaussian Mixture Model with Integral Cosine Similarity Guanglin Li, Bin Li, Changsheng Chen, Shunquan Tan, Guoping Qiu

AAAI 2022 Learning Robust Policy Against Disturbance in Transition Dynamics via State-Conservative Policy Optimization Yufei Kuang, Miao Lu, Jie Wang, Qi Zhou, Bin Li, Houqiang Li

CVPR 2022 Neural Compression-Based Feature Learning for Video Restoration Cong Huang, Jiahao Li, Bin Li, Dong Liu, Yan Lu

MLJ 2022 Online Active Classification via Margin-Based and Feature-Based Label Queries Tingting Zhai, Frédéric Koriche, Yang Gao, Junwu Zhu, Bin Li

ECCV 2022 Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction Xiaoning Sun, Qiongjie Cui, Huaijiang Sun, Bin Li, Weiqing Li, Jianfeng Lu

AAAI 2022 PSG: Prompt-Based Sequence Generation for Acronym Extraction Bin Li, Fei Xia, Yixuan Weng, Bin Sun, Shutao Li, Xiusheng Huang

NeurIPS 2022 Roadblocks for Temporarily Disabling Shortcuts and Learning New Knowledge Hongjing Niu, Hanting Li, Feng Zhao, Bin Li

AAAI 2022 Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic Zhihai Wang, Jie Wang, Qi Zhou, Bin Li, Houqiang Li

AAAI 2022 SimCLAD: A Simple Framework for Contrastive Learning of Acronym Disambiguation Bin Li, Fei Xia, Yixuan Weng, Xiusheng Huang, Bin Sun

MLJ 2022 Smoothing Graphons for Modelling Exchangeable Relational Data Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson

AAAI 2022 Text Gestalt: Stroke-Aware Scene Text Image Super-Resolution Jingye Chen, Haiyang Yu, Jianqi Ma, Bin Li, Xiangyang Xue

AAAI 2022 Unsupervised Learning of Compositional Scene Representations from Multiple Unspecified Viewpoints Jinyang Yuan, Bin Li, Xiangyang Xue

CVPRW 2021 A Universal Encoder Rate Distortion Optimization Framework for Learned Compression Jing Zhao, Bin Li, Jiahao Li, Ruiqin Xiong, Yan Lu

NeurIPS 2021 An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints Xin Liu, Bin Li, Pengyi Shi, Lei Ying

IJCAI 2021 Bayesian Nonparametric Space Partitions: A Survey Xuhui Fan, Bin Li, Ling Luo, Scott A. Sisson

NeurIPS 2021 Continuous-Time Edge Modelling Using Non-Parametric Point Processes Xuhui Fan, Bin Li, Feng Zhou, Scott SIsson

ECML-PKDD 2021 Decoupling Sparsity and Smoothness in Dirichlet Belief Networks Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson

NeurIPS 2021 Deep Contextual Video Compression Jiahao Li, Bin Li, Yan Lu

ICLR 2021 Deformable DETR: Deformable Transformers for End-to-End Object Detection Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, Jifeng Dai

CVPR 2021 Dual-Stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-Supervised Contrastive Learning Bin Li, Yin Li, Kevin W. Eliceiri

AAAI 2021 Knowledge-Guided Object Discovery with Acquired Deep Impressions Jinyang Yuan, Bin Li, Xiangyang Xue

ICML 2021 Poisson-Randomised DirBN: Large Mutation Is Needed in Dirichlet Belief Networks Xuhui Fan, Bin Li, Yaqiong Li, Scott A. Sisson

AAAI 2021 Raven's Progressive Matrices Completion with Latent Gaussian Process Priors Fan Shi, Bin Li, Xiangyang Xue

CVPR 2021 Scene Text Telescope: Text-Focused Scene Image Super-Resolution Jingye Chen, Bin Li, Xiangyang Xue

WACV 2021 Self-Supervised Visual-LiDAR Odometry with Flip Consistency Bin Li, Mu Hu, Shuling Wang, Lianghao Wang, Xiaojin Gong

IJCAI 2021 Zero-Shot Chinese Character Recognition with Stroke-Level Decomposition Jingye Chen, Bin Li, Xiangyang Xue

IJCAI 2020 Incentive-Compatible Diffusion Auctions Bin Li, Dong Hao, Dengji Zhao

AISTATS 2020 Online Binary Space Partitioning Forests Xuhui Fan, Bin Li, Scott SIsson

AAAI 2020 Outlier Detection Ensemble with Embedded Feature Selection Li Cheng, Yijie Wang, Xinwang Liu, Bin Li

IJCAI 2020 Recurrent Dirichlet Belief Networks for Interpretable Dynamic Relational Data Modelling Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Zheng Yu, Scott A. Sisson

ICLR 2020 VL-BERT: Pre-Training of Generic Visual-Linguistic Representations Weijie Su, Xizhou Zhu, Yue Cao, Bin Li, Lewei Lu, Furu Wei, Jifeng Dai

AISTATS 2019 Binary Space Partitioning Forest Xuhui Fan, Bin Li, Scott SIsson

JMLR 2019 Convergence of Gaussian Belief Propagation Under General Pairwise Factorization: Connecting Gaussian MRF with Pairwise Linear Gaussian Model Bin Li, Yik-Chung Wu

IJCAI 2019 Diffusion and Auction on Graphs Bin Li, Dong Hao, Dengji Zhao, Makoto Yokoo

ICML 2019 Generative Modeling of Infinite Occluded Objects for Compositional Scene Representation Jinyang Yuan, Bin Li, Xiangyang Xue

NeurIPS 2019 Scalable Deep Generative Relational Model with High-Order Node Dependence Xuhui Fan, Bin Li, Caoyuan Li, Scott SIsson, Ling Chen

AAAI 2019 Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping Jinyang Yuan, Bin Li, Xiangyang Xue

AAAI 2019 Spatio-Temporal Graph Routing for Skeleton-Based Action Recognition Bin Li, Xi Li, Zhongfei Zhang, Fei Wu

ECCV 2018 Affinity Derivation and Graph Merge for Instance Segmentation Yiding Liu, Siyu Yang, Bin Li, Wengang Zhou, Jizheng Xu, Houqiang Li, Yan Lu

IJCAI 2018 Customer Sharing in Economic Networks with Costs Bin Li, Dong Hao, Dengji Zhao, Tao Zhou

IJCAI 2018 Efficient Attributed Network Embedding via Recursive Randomized Hashing Wei Wu, Bin Li, Ling Chen, Chengqi Zhang

NeurIPS 2018 Rectangular Bounding Process Xuhui Fan, Bin Li, Scott SIsson

AISTATS 2018 The Binary Space Partitioning-Tree Process Xuhui Fan, Bin Li, Scott A. Sisson

AAAI 2017 Improving Efficiency of SVM K-Fold Cross-Validation by Alpha Seeding Zeyi Wen, Bin Li, Kotagiri Ramamohanarao, Jian Chen, Yawen Chen, Rui Zhang

AAAI 2017 Mechanism Design in Social Networks Bin Li, Dong Hao, Dengji Zhao, Tao Zhou

IJCAI 2017 Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen

IJCAI 2016 Bayesian Optimization of Partition Layouts for Mondrian Processes Yi Wang, Bin Li, Xuhui Fan, Yang Wang, Fang Chen

JMLR 2016 OLPS: A Toolbox for On-Line Portfolio Selection Bin Li, Doyen Sahoo, Steven C.H. Hoi

IJCAI 2016 POISketch: Semantic Place Labeling over User Activity Streams Dingqi Yang, Bin Li, Philippe Cudré-Mauroux

AAAI 2016 The Ostomachion Process Xuhui Fan, Bin Li, Yi Wang, Yang Wang, Fang Chen

ACML 2015 Detecting Accounting Frauds in Publicly Traded U.S. Firms: A Machine Learning Approach Bin Li, Julia Yu, Jie Zhang, Bin Ke

ICML 2015 Metadata Dependent Mondrian Processes Yi Wang, Bin Li, Yang Wang, Fang Chen

IJCAI 2015 Semi-Universal Portfolios with Transaction Costs Dingjiang Huang, Yan Zhu, Bin Li, Shuigeng Zhou, Steven C. H. Hoi

IJCAI 2013 Robust Median Reversion Strategy for On-Line Portfolio Selection Dingjiang Huang, Junlong Zhou, Bin Li, Steven C. H. Hoi, Shuigeng Zhou

ICML 2012 Groupwise Constrained Reconstruction for Subspace Clustering Ruijiang Li, Bin Li, Cheng Jin, Xiangyang Xue

ICML 2012 On-Line Portfolio Selection with Moving Average Reversion Bin Li, Steven C. H. Hoi

MLJ 2012 PAMR: Passive Aggressive Mean Reversion Strategy for Portfolio Selection Bin Li, Peilin Zhao, Steven C. H. Hoi, Vivekanand Gopalkrishnan

AISTATS 2011 Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection Bin Li, Steven C.H. Hoi, Peilin Zhao, Vivekanand Gopalkrishnan

IJCAI 2011 Cross-Domain Collaborative Filtering over Time Bin Li, Xingquan Zhu, Ruijiang Li, Chengqi Zhang, Xiangyang Xue, Xindong Wu

AAAI 2011 Tracking User-Preference Varying Speed in Collaborative Filtering Ruijiang Li, Bin Li, Cheng Jin, Xiangyang Xue, Xingquan Zhu

IJCAI 2009 Can Movies and Books Collaborate? Cross-Domain Collaborative Filtering for Sparsity Reduction Bin Li, Qiang Yang, Xiangyang Xue

ICML 2009 Transfer Learning for Collaborative Filtering via a Rating-Matrix Generative Model Bin Li, Qiang Yang, Xiangyang Xue

ICML 2007 Support Cluster Machine Bin Li, Mingmin Chi, Jianping Fan, Xiangyang Xue