← Authors

Bin Li

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

Achievements

πŸ—ΊοΈ Taxonomy Completionist (28) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (17) 🌈 Renaissance Researcher (9) 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) ICML (7) ICCV (6) ACL (6) EMNLP (5) INTERSPEECH (5) NAACL (5) COLING (4) AISTATS (4) SEMEVAL (4) MICCAI (3) ACML (2) JMLR (2) CONLL (1) IJCNLP (1) UAI (1) WACV (1)

Top co-authors

Xiangyang Xue (25) Yan Lu (12) Yixuan Weng (12) Jiahao Li (12) Jie Wang (11) Jianfeng Lu (10) Xuhui Fan (10) Huaijiang Sun (10) Weiqing Li (10) Bin Sun (9)

Research topics

Systems (1)

Keywords

self-supervised learning (8) contrastive learning (6) reinforcement learning (5) large language model (5) online learning (4) generative model (4) zero-shot learning (4) representation learning (4) neural network (4) diffusion model (4) link prediction (4) image generation (4) natural language processing (4) video compression (4) variational inference (3) image compression (3) transfer learning (3) gaussian process (3) image classification (3) multimodal learning (3)

Papers

SCoUT: A Framework for Structured Stereotype Analysis in Language Models AAAI 2026
E-MaT:Event-oriented Mamba for Egocentric Point Tracking 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
MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking ICCV 2025
BeSimulator: A Large Language Model Powered Text-based Behavior Simulator EMNLP 2025
Overview of EvaHan2025: The First International Evaluation on Ancient Chinese Named Entity Recognition NAACL 2025
LoRA-PAR: A Flexible Dual-System LoRA Partitioning Approach to Efficient LLM Fine-Tuning EMNLP 2025
DLF: Extreme Image Compression with Dual-generative Latent Fusion ICCV 2025
Multi-modal Multi-platform Person Re-Identification: Benchmark and Method ICCV 2025
ChatReID: Open-ended Interactive Person Retrieval via Hierarchical Progressive Tuning for Vision Language Models ICCV 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
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
SPAC: Sparse Partitioning and Adaptive Core Tensor Pruning Model for Knowledge Graph Completion AAAI 2025
Query-efficient Attack for Black-box Image Inpainting Forensics via Reinforcement Learning AAAI 2025
VQLTI: Long-Term Tropical Cyclone Intensity Forecasting with Physical Constraints AAAI 2025
AID-Agent: An LLM-Agent for Advanced Extraction and Integration of Documents ACL 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
5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition Tasks CVPR 2025
PICD: Versatile Perceptual Image Compression with Diffusion Rendering CVPR 2025
Towards Practical Real-Time Neural Video Compression CVPR 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
Generative Latent Coding for Ultra-Low Bitrate Image Compression CVPR 2024
Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detection ECCV 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
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
NeRM: Learning Neural Representations for High-Framerate Human Motion Synthesis ICLR 2024
Long-term Temporal Context Gathering for Neural Video Compression ECCV 2024
Neural Video Compression with Feature Modulation CVPR 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
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
Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework NIPS 2024
Enhanced Scale-aware Depth Estimation for Monocular Endoscopic Scenes with Geometric Modeling MICCAI 2024
Enhancing Partially Spoofed Audio Localization with Boundary-aware Attention Mechanism INTERSPEECH 2024
Improving Viewpoint-Independent Object-Centric Representations through Active Viewpoint Selection NIPS 2024
Acoustic changes in speech prosody produced by children with autism after robot-assisted speech training INTERSPEECH 2024
Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning NIPS 2024
Infinite-ID: Identity-preserved Personalization via ID-semantics Decoupling Paradigm ECCV 2024
EAFormer: Scene Text Segmentation with Edge-Aware Transformers ECCV 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
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
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
Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models ICML 2024
"Idling Neurons, Appropriately Lenient Workload During Fine-tuning Leads to Better Generalization" ECCV 2024
MILP-StuDio: MILP Instance Generation via Block Structure Decomposition NIPS 2024
Large Language Models are Better Reasoners with Self-Verification EMNLP 2023
Time-Conditioned Generative Modeling of Object-Centric Representations for Video Decomposition and Prediction UAI 2023
Motion Information Propagation for Neural Video Compression CVPR 2023
EVC: Towards Real-Time Neural Image Compression with Mask Decay ICLR 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
Meta-Auxiliary Learning for Adaptive Human Pose Prediction AAAI 2023
Test-time Personalizable Forecasting of 3D Human Poses ICCV 2023
Chinese Text Recognition with A Pre-Trained CLIP-Like Model Through Image-IDS Aligning ICCV 2023
Compositional Law Parsing with Latent Random Functions ICLR 2023
Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction AAAI 2023
Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information CVPR 2023
Learning Accurate 3D Shape Based on Stereo Polarimetric Imaging CVPR 2023
Towards Accurate Video Text Spotting with Text-wise Semantic Reasoning IJCAI 2023
Orientation-Independent Chinese Text Recognition in Scene Images IJCAI 2023
Siamese Image Modeling for Self-Supervised Vision Representation Learning CVPR 2023
DeFeeNet: Consecutive 3D Human Motion Prediction With Deviation Feedback CVPR 2023
Neural Video Compression With Diverse Contexts CVPR 2023
Continuing Pre-trained Model with Multiple Training Strategies for Emotional Classification ACL 2022
Roadblocks for Temporarily Disabling Shortcuts and Learning New Knowledge NIPS 2022
Text Gestalt: Stroke-Aware Scene Text Image Super-resolution AAAI 2022
Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization AAAI 2022
Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic AAAI 2022
Unsupervised Learning of Compositional Scene Representations from Multiple Unspecified Viewpoints AAAI 2022
VPAI_Lab at MedVidQA 2022: A Two-Stage Cross-modal Fusion Method for Medical Instructional Video Classification ACL 2022
A Knowledge storage and semantic space alignment Method for Multi-documents dialogue generation ACL 2022
Prompt-based Pre-trained Model for Personality and Interpersonal Reactivity Prediction ACL 2022
Contrastive Inductive Bias Controlling Networks for Reinforcement Learning ACML 2022
DynGL-SDP: Dynamic Graph Learning for Semantic Dependency Parsing COLING 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
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
MedConQA: Medical Conversational Question Answering System based on Knowledge Graphs EMNLP 2022
Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game ICLR 2022
Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent ICML 2022
Learning General Gaussian Mixture Model with Integral Cosine Similarity IJCAI 2022
Data-Efficient Backdoor Attacks IJCAI 2022
LingJing at SemEval-2022 Task 1: Multi-task Self-supervised Pre-training for Multilingual Reverse Dictionary NAACL 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
Dual-Stream Multiple Instance Learning Network for Whole Slide Image Classification With Self-Supervised Contrastive Learning CVPR 2021
An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints NIPS 2021
Raven's Progressive Matrices Completion with Latent Gaussian Process Priors AAAI 2021
Zero-Shot Chinese Character Recognition with Stroke-Level Decomposition IJCAI 2021
Bayesian Nonparametric Space Partitions: A Survey IJCAI 2021
Self-Supervised Visual-LiDAR Odometry With Flip Consistency WACV 2021
Knowledge-Guided Object Discovery with Acquired Deep Impressions AAAI 2021
Scene Text Telescope: Text-Focused Scene Image Super-Resolution CVPR 2021
Deformable DETR: Deformable Transformers for End-to-End Object Detection ICLR 2021
Continuous-time edge modelling using non-parametric point processes NIPS 2021
Poisson-Randomised DirBN: Large Mutation is Needed in Dirichlet Belief Networks ICML 2021
Deep Contextual Video Compression NIPS 2021
Online Binary Space Partitioning Forests AISTATS 2020
MRP 2020: The Second Shared Task on Cross-Framework and Cross-Lingual Meaning Representation Parsing EMNLP 2020
Independent Echo Path Modeling for Stereophonic Acoustic Echo Cancellation INTERSPEECH 2020
VL-BERT: Pre-training of Generic Visual-Linguistic Representations ICLR 2020
Outlier Detection Ensemble with Embedded Feature Selection AAAI 2020
Incentive-Compatible Diffusion Auctions IJCAI 2020
Recurrent Dirichlet Belief Networks for interpretable Dynamic Relational Data Modelling IJCAI 2020
MRP 2020: The Second Shared Task on Cross-Framework and Cross-Lingual Meaning Representation Parsing CONLL 2020
Ellipsis in Chinese AMR Corpus ACL 2019
Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping AAAI 2019
Text Guided Person Image Synthesis CVPR 2019
Diffusion and Auction on Graphs IJCAI 2019
Spatio-Temporal Graph Routing for Skeleton-Based Action Recognition AAAI 2019
Binary Space Partitioning Forest AISTATS 2019
Influence of Contextuality on Prosodic Realization of Information Structure in Chinese Dialogues INTERSPEECH 2019
Convergence of Gaussian Belief Propagation Under General Pairwise Factorization: Connecting Gaussian MRF with Pairwise Linear Gaussian Model JMLR 2019
Scalable Deep Generative Relational Model with High-Order Node Dependence NIPS 2019
Generative Modeling of Infinite Occluded Objects for Compositional Scene Representation ICML 2019
Customer Sharing in Economic Networks with Costs IJCAI 2018
Affinity Derivation and Graph Merge for Instance Segmentation ECCV 2018
Acoustic Analysis of Whispery Voice Disguise in Mandarin Chinese INTERSPEECH 2018
Rectangular Bounding Process NIPS 2018
Efficient Attributed Network Embedding via Recursive Randomized Hashing IJCAI 2018
Transition-Based Chinese AMR Parsing NAACL 2018
The Binary Space Partitioning-Tree Process AISTATS 2018
Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process IJCAI 2017
POISketch: Semantic Place Labeling over User Activity Streams IJCAI 2016
OLPS: A Toolbox for On-Line Portfolio Selection JMLR 2016
Bayesian Optimization of Partition Layouts for Mondrian Processes IJCAI 2016
Detecting Accounting Frauds in Publicly Traded U.S. Firms: A Machine Learning Approach ACML 2015
Metadata Dependent Mondrian Processes ICML 2015
Semi-Universal Portfolios with Transaction Costs IJCAI 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