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Bin Li

162 papers · 2008–2026 · 22 conferences · across top CS/AI conferences

Achievements

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+16 more ↓ πŸ—ΊοΈ Taxonomy Completionist (28) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (9) 🐣 Hot Topic Early Bird
πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (22) 🐝 Cross-Pollinator (6) 🏠 Conference Loyalist (21) 🀝 Dynamic Duo (23) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Grand Slam πŸ”¬ Deep Specialist (14) πŸ† Keyword Champion (2) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (11) πŸ’Ž Century Club (154) πŸ—ƒοΈ Keyword Collector (72) ⚑ Prolific Year (37)

Conferences

AAAI (26) CVPR (20) IJCAI (18) NIPS (14) ICLR (14) ECCV (10) ACL (9) ICML (7) ICCV (6) EMNLP (5) INTERSPEECH (5) NAACL (5) COLING (4) AISTATS (4) SEMEVAL (4) MICCAI (3) JMLR (2) ACML (2) CONLL (1) IJCNLP (1) UAI (1) WACV (1)

Research topics

Papers

E-MaT:Event-oriented Mamba for Egocentric Point Tracking AAAI 2026 DyBBT: Dynamic Balance via Bandit-inspired Targeting for Dialog Policy with Cognitive Dual Systems ACL 2026 DarwinTOD: LLM-Driven Lifelong Self-evolution for Task-oriented Dialog Systems ACL 2026 InfiniteWeb: Scalable Web Environment Synthesis for GUI Agent Training ACL 2026 SCoUT: A Framework for Structured Stereotype Analysis in Language Models AAAI 2026 From Intent to Execution: Multimodal Chain-of-Thought Reinforcement Learning for Precise CAD Code Generation AAAI 2026 OmniPT: Unleashing the Potential of Large Vision Language Models for Pedestrian Tracking and Understanding AAAI 2026 Adaptive Morph-Patch Transformer for Aortic Vessel Segmentation AAAI 2026 BeSimulator: A Large Language Model Powered Text-based Behavior Simulator EMNLP 2025 Towards Practical Real-Time Neural Video Compression CVPR 2025 PICD: Versatile Perceptual Image Compression with Diffusion Rendering CVPR 2025 5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition Tasks CVPR 2025 Overview of EvaHan2025: The First International Evaluation on Ancient Chinese Named Entity Recognition NAACL 2025 Prolog-Driven Rule-Based Diagnostics with Large Language Models for Precise Clinical Decision Support MICCAI 2025 MVP-LLMs: Optimizing Intervention Timing and Subsequent Decision Support for Mechanical Ventilation Parameter Control Using Large Language Models MICCAI 2025 Code-BT: A Code-Driven Approach to Behavior Tree Generation for Robot Tasks Planning with Large Language Models IJCAI 2025 Strategyproofness and Monotone Allocation of Auction in Social Networks IJCAI 2025 One-Shot Heterogeneous Federated Learning with Local Model-Guided Diffusion Models ICML 2025 Beyond Task-Specific Reasoning: A Unified Conditional Generative Framework for Abstract Visual Reasoning ICML 2025 Differentiable Integer Linear Programming ICLR 2025 Accurate and Scalable Graph Neural Networks via Message Invariance ICLR 2025 Learning Robust Representations with Long-Term Information for Generalization in Visual Reinforcement Learning ICLR 2025 Foundation Model Driven Appearance Extraction for Robust Multiple Object Tracking AAAI 2025 Standing on the Shoulders of Giants: Reprogramming Visual-Language Model for General Deepfake Detection AAAI 2025 Query-efficient Attack for Black-box Image Inpainting Forensics via Reinforcement Learning AAAI 2025 SPAC: Sparse Partitioning and Adaptive Core Tensor Pruning Model for Knowledge Graph Completion AAAI 2025 VQLTI: Long-Term Tropical Cyclone Intensity Forecasting with Physical Constraints AAAI 2025 MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking ICCV 2025 ChatReID: Open-ended Interactive Person Retrieval via Hierarchical Progressive Tuning for Vision Language Models ICCV 2025 Multi-modal Multi-platform Person Re-Identification: Benchmark and Method ICCV 2025 DLF: Extreme Image Compression with Dual-generative Latent Fusion ICCV 2025 LoRA-PAR: A Flexible Dual-System LoRA Partitioning Approach to Efficient LLM Fine-Tuning EMNLP 2025 AID-Agent: An LLM-Agent for Advanced Extraction and Integration of Documents ACL 2025 NeRM: Learning Neural Representations for High-Framerate Human Motion Synthesis ICLR 2024 Improving Viewpoint-Independent Object-Centric Representations through Active Viewpoint Selection NIPS 2024 Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning NIPS 2024 Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions NIPS 2024 FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge NIPS 2024 MILP-StuDio: MILP Instance Generation via Block Structure Decomposition NIPS 2024 Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework NIPS 2024 Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport AAAI 2024 Enhanced Fine-Grained Motion Diffusion for Text-Driven Human Motion Synthesis AAAI 2024 Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks AAAI 2024 Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning AAAI 2024 Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models AAAI 2024 Few-Shot Semantic Dependency Parsing via Graph Contrastive Learning COLING 2024 Overview of EvaHan2024: The First International Evaluation on Ancient Chinese Sentence Segmentation and Punctuation COLING 2024 MoML: Online Meta Adaptation for 3D Human Motion Prediction CVPR 2024 InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks CVPR 2024 Fast Adaptation for Human Pose Estimation via Meta-Optimization CVPR 2024 CMA: A Chromaticity Map Adapter for Robust Detection of Screen-Recapture Document Images CVPR 2024 DiffForensics: Leveraging Diffusion Prior to Image Forgery Detection and Localization CVPR 2024 Generative Latent Coding for Ultra-Low Bitrate Image Compression CVPR 2024 Neural Video Compression with Feature Modulation CVPR 2024 Infinite-ID: Identity-preserved Personalization via ID-semantics Decoupling Paradigm ECCV 2024 EAFormer: Scene Text Segmentation with Edge-Aware Transformers ECCV 2024 Human Motion Forecasting in Dynamic Domain Shifts: A Homeostatic Continual Test-time Adaptation Framework ECCV 2024 FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients ECCV 2024 "Idling Neurons, Appropriately Lenient Workload During Fine-tuning Leads to Better Generalization" ECCV 2024 Long-term Temporal Context Gathering for Neural Video Compression ECCV 2024 Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detection ECCV 2024 Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling ICLR 2024 Towards Generative Abstract Reasoning: Completing Raven’s Progressive Matrix via Rule Abstraction and Selection ICLR 2024 Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework ICLR 2024 Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios ICLR 2024 Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks ICLR 2024 Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models ICML 2024 Acoustic changes in speech prosody produced by children with autism after robot-assisted speech training INTERSPEECH 2024 Enhancing Partially Spoofed Audio Localization with Boundary-aware Attention Mechanism INTERSPEECH 2024 Enhanced Scale-aware Depth Estimation for Monocular Endoscopic Scenes with Geometric Modeling MICCAI 2024 Test-time Personalizable Forecasting of 3D Human Poses ICCV 2023 Motion Information Propagation for Neural Video Compression CVPR 2023 Neural Video Compression With Diverse Contexts CVPR 2023 Time-Conditioned Generative Modeling of Object-Centric Representations for Video Decomposition and Prediction UAI 2023 Towards Accurate Video Text Spotting with Text-wise Semantic Reasoning IJCAI 2023 Orientation-Independent Chinese Text Recognition in Scene Images IJCAI 2023 Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction AAAI 2023 Learning Accurate 3D Shape Based on Stereo Polarimetric Imaging CVPR 2023 Compositional Law Parsing with Latent Random Functions ICLR 2023 EVC: Towards Real-Time Neural Image Compression with Mask Decay ICLR 2023 Meta-Auxiliary Learning for Adaptive Human Pose Prediction AAAI 2023 Domain Re-Modulation for Few-Shot Generative Domain Adaptation NIPS 2023 Training-free Diffusion Model Adaptation for Variable-Sized Text-to-Image Synthesis NIPS 2023 DeFeeNet: Consecutive 3D Human Motion Prediction With Deviation Feedback CVPR 2023 Large Language Models are Better Reasoners with Self-Verification EMNLP 2023 Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information CVPR 2023 Siamese Image Modeling for Self-Supervised Vision Representation Learning CVPR 2023 Chinese Text Recognition with A Pre-Trained CLIP-Like Model Through Image-IDS Aligning ICCV 2023 DynGL-SDP: Dynamic Graph Learning for Semantic Dependency Parsing COLING 2022 Contrastive Inductive Bias Controlling Networks for Reinforcement Learning ACML 2022 Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction ECCV 2022 FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs ECCV 2022 LingJing at SemEval-2022 Task 3: Applying DeBERTa to Lexical-level Presupposed Relation Taxonomy with Knowledge Transfer NAACL 2022 LingJing at SemEval-2022 Task 1: Multi-task Self-supervised Pre-training for Multilingual Reverse Dictionary SEMEVAL 2022 LingJing at SemEval-2022 Task 3: Applying DeBERTa to Lexical-level Presupposed Relation Taxonomy with Knowledge Transfer SEMEVAL 2022 MedConQA: Medical Conversational Question Answering System based on Knowledge Graphs EMNLP 2022 Prompt-based Pre-trained Model for Personality and Interpersonal Reactivity Prediction ACL 2022 Continuing Pre-trained Model with Multiple Training Strategies for Emotional Classification ACL 2022 A Knowledge storage and semantic space alignment Method for Multi-documents dialogue generation ACL 2022 VPAI_Lab at MedVidQA 2022: A Two-Stage Cross-modal Fusion Method for Medical Instructional Video Classification ACL 2022 Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game ICLR 2022 Roadblocks for Temporarily Disabling Shortcuts and Learning New Knowledge NIPS 2022 Unsupervised Learning of Compositional Scene Representations from Multiple Unspecified Viewpoints AAAI 2022 Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent ICML 2022 Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic AAAI 2022 Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization AAAI 2022 Learning General Gaussian Mixture Model with Integral Cosine Similarity IJCAI 2022 Data-Efficient Backdoor Attacks IJCAI 2022 Text Gestalt: Stroke-Aware Scene Text Image Super-resolution AAAI 2022 Knowledge Transfer with Visual Prompt in multi-modal Dialogue Understanding and Generation COLING 2022 Neural Compression-Based Feature Learning for Video Restoration CVPR 2022 LingJing at SemEval-2022 Task 1: Multi-task Self-supervised Pre-training for Multilingual Reverse Dictionary NAACL 2022 Zero-Shot Chinese Character Recognition with Stroke-Level Decomposition IJCAI 2021 Bayesian Nonparametric Space Partitions: A Survey IJCAI 2021 Raven's Progressive Matrices Completion with Latent Gaussian Process Priors AAAI 2021 Deformable DETR: Deformable Transformers for End-to-End Object Detection ICLR 2021 Self-Supervised Visual-LiDAR Odometry With Flip Consistency WACV 2021 Scene Text Telescope: Text-Focused Scene Image Super-Resolution CVPR 2021 Dual-Stream Multiple Instance Learning Network for Whole Slide Image Classification With Self-Supervised Contrastive Learning CVPR 2021 Continuous-time edge modelling using non-parametric point processes NIPS 2021 Deep Contextual Video Compression NIPS 2021 Knowledge-Guided Object Discovery with Acquired Deep Impressions AAAI 2021 An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints NIPS 2021 Poisson-Randomised DirBN: Large Mutation is Needed in Dirichlet Belief Networks ICML 2021 MRP 2020: The Second Shared Task on Cross-Framework and Cross-Lingual Meaning Representation Parsing CONLL 2020 Incentive-Compatible Diffusion Auctions IJCAI 2020 Recurrent Dirichlet Belief Networks for interpretable Dynamic Relational Data Modelling IJCAI 2020 Outlier Detection Ensemble with Embedded Feature Selection AAAI 2020 VL-BERT: Pre-training of Generic Visual-Linguistic Representations ICLR 2020 Independent Echo Path Modeling for Stereophonic Acoustic Echo Cancellation INTERSPEECH 2020 Online Binary Space Partitioning Forests AISTATS 2020 MRP 2020: The Second Shared Task on Cross-Framework and Cross-Lingual Meaning Representation Parsing EMNLP 2020 Generative Modeling of Infinite Occluded Objects for Compositional Scene Representation ICML 2019 Convergence of Gaussian Belief Propagation Under General Pairwise Factorization: Connecting Gaussian MRF with Pairwise Linear Gaussian Model JMLR 2019 Text Guided Person Image Synthesis CVPR 2019 Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping AAAI 2019 Spatio-Temporal Graph Routing for Skeleton-Based Action Recognition AAAI 2019 Scalable Deep Generative Relational Model with High-Order Node Dependence NIPS 2019 Diffusion and Auction on Graphs IJCAI 2019 Ellipsis in Chinese AMR Corpus ACL 2019 Influence of Contextuality on Prosodic Realization of Information Structure in Chinese Dialogues INTERSPEECH 2019 Binary Space Partitioning Forest AISTATS 2019 The Binary Space Partitioning-Tree Process AISTATS 2018 Acoustic Analysis of Whispery Voice Disguise in Mandarin Chinese INTERSPEECH 2018 Efficient Attributed Network Embedding via Recursive Randomized Hashing IJCAI 2018 Affinity Derivation and Graph Merge for Instance Segmentation ECCV 2018 Transition-Based Chinese AMR Parsing NAACL 2018 Customer Sharing in Economic Networks with Costs IJCAI 2018 Rectangular Bounding Process NIPS 2018 Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process IJCAI 2017 Bayesian Optimization of Partition Layouts for Mondrian Processes IJCAI 2016 OLPS: A Toolbox for On-Line Portfolio Selection JMLR 2016 POISketch: Semantic Place Labeling over User Activity Streams IJCAI 2016 Detecting Accounting Frauds in Publicly Traded U.S. Firms: A Machine Learning Approach ACML 2015 Semi-Universal Portfolios with Transaction Costs IJCAI 2015 Metadata Dependent Mondrian Processes ICML 2015 Robust Median Reversion Strategy for On-Line Portfolio Selection IJCAI 2013 NJU-Parser: Achievements on Semantic Dependency Parsing SEMEVAL 2012 MIXCD: System Description for Evaluating Chinese Word Similarity at SemEval-2012 SEMEVAL 2012 Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection AISTATS 2011 Improving Blog Polarity Classification via Topic Analysis and Adaptive Methods NAACL 2010 Nanjing Normal University Segmenter for the Fourth SIGHAN Bakeoff IJCNLP 2008