Bin Li
172 papers · 2008–2026 · 22 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 41 separate collaboration groups - the largest holds only 19% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Bin Li?
21 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Xiangyang Xue, Haiyang Yu, Fan Shi
32 papers
· 2019–2026
· AAAI, CVPR, IJCAI
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CME-CAD: Heterogeneous Collaborative Multi-Expert Reinforcement Learning for CAD Code Generation
CVPR 2026
DynamicVGGT: Learning Dynamic Point Maps for 4D Scene Reconstruction in Autonomous Driving
CVPR 2026
Envision, Attend, Then Respond: Counterfactual Hallucination Mitigation in Large Vision-Language Models
CVPR 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
SCoUT: A Framework for Structured Stereotype Analysis in Language Models
AAAI 2026
BeSimulator: A Large Language Model Powered Text-based Behavior Simulator
EMNLP 2025
Beyond Task-Specific Reasoning: A Unified Conditional Generative Framework for Abstract Visual Reasoning
ICML 2025
ChatReID: Open-ended Interactive Person Retrieval via Hierarchical Progressive Tuning for Vision Language Models
ICCV 2025
Code-BT: A Code-Driven Approach to Behavior Tree Generation for Robot Tasks Planning with Large Language Models
IJCAI 2025
Foundation Model Driven Appearance Extraction for Robust Multiple Object Tracking
AAAI 2025
One-Shot Heterogeneous Federated Learning with Local Model-Guided Diffusion Models
ICML 2025
EAFormer: Scene Text Segmentation with Edge-Aware Transformers
ECCV 2024
Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models
AAAI 2024
FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients
ECCV 2024
Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning
AAAI 2024
Improving Viewpoint-Independent Object-Centric Representations through Active Viewpoint Selection
NeurIPS 2024
Towards Generative Abstract Reasoning: Completing Raven’s Progressive Matrix via Rule Abstraction and Selection
ICLR 2024
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
Orientation-Independent Chinese Text Recognition in Scene Images
IJCAI 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
Training-free Diffusion Model Adaptation for Variable-Sized Text-to-Image Synthesis
NeurIPS 2023
Text Gestalt: Stroke-Aware Scene Text Image Super-resolution
AAAI 2022
Unsupervised Learning of Compositional Scene Representations from Multiple Unspecified Viewpoints
AAAI 2022
Knowledge-Guided Object Discovery with Acquired Deep Impressions
AAAI 2021
Raven's Progressive Matrices Completion with Latent Gaussian Process Priors
AAAI 2021
Scene Text Telescope: Text-Focused Scene Image Super-Resolution
CVPR 2021
Zero-Shot Chinese Character Recognition with Stroke-Level Decomposition
IJCAI 2021
Generative Modeling of Infinite Occluded Objects for Compositional Scene Representation
ICML 2019
Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping
AAAI 2019
20 papers whose co-authors appear nowhere else under this name
Adaptive Morph-Patch Transformer for Aortic Vessel Segmentation
AAAI 2026
VIMCAN: Visual-Inertial 3D Human Pose Estimation with Hybrid Mamba-Cross-Attention Network
CVPR 2026
5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition Tasks
CVPR 2025
AID-Agent: An LLM-Agent for Advanced Extraction and Integration of Documents
ACL 2025
LoRA-PAR: A Flexible Dual-System LoRA Partitioning Approach to Efficient LLM Fine-Tuning
EMNLP 2025
SPAC: Sparse Partitioning and Adaptive Core Tensor Pruning Model for Knowledge Graph Completion
AAAI 2025
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
Learning Accurate 3D Shape Based on Stereo Polarimetric Imaging
CVPR 2023
An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints
NeurIPS 2021
Dual-Stream Multiple Instance Learning Network for Whole Slide Image Classification With Self-Supervised Contrastive Learning
CVPR 2021
Self-Supervised Visual-LiDAR Odometry With Flip Consistency
WACV 2021
Independent Echo Path Modeling for Stereophonic Acoustic Echo Cancellation
Interspeech 2020
Outlier Detection Ensemble with Embedded Feature Selection
AAAI 2020
Convergence of Gaussian Belief Propagation Under General Pairwise Factorization: Connecting Gaussian MRF with Pairwise Linear Gaussian Model
JMLR 2019
Influence of Contextuality on Prosodic Realization of Information Structure in Chinese Dialogues
Interspeech 2019
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
Improving Blog Polarity Classification via Topic Analysis and Adaptive Methods
NAACL 2010
Nanjing Normal University Segmenter for the Fourth SIGHAN Bakeoff
IJCNLP 2008