Bin Li
162 papers · 2008–2026 · 22 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (28) π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (9) π£ Hot Topic Early Bird
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Interdisciplinary Bridge
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Conference Polyglot
(22)
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(6)
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Conference Loyalist
(21)
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Dynamic Duo
(23)
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Triple Crown
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Topic Evolution
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Grand Slam
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Deep Specialist
(14)
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Keyword Champion
(2)
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Trend Setter
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Conference Pioneer
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Unstoppable
(11)
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Century Club
(154)
ποΈ
Keyword Collector
(72)
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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)
Top co-authors
Research topics
Keywords
self-supervised learning
(8)
contrastive learning
(6)
reinforcement learning
(6)
large language model
(6)
bayesian nonparametrics
(5)
link prediction
(4)
image generation
(4)
online learning
(4)
video compression
(4)
zero-shot learning
(4)
representation learning
(4)
generative model
(4)
natural language processing
(4)
diffusion model
(4)
neural network
(4)
variational inference
(3)
image compression
(3)
transfer learning
(3)
gaussian process
(3)
image classification
(3)
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 Ravenβs 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