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.
Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.
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 Jiahao Li, Yan Lu, Jie Wang
32 papers
· 2018–2026
· CVPR, ICLR, NeurIPS
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CoD: A Diffusion Foundation Model for Image Compression
CVPR 2026
Divide, then Ground: Adapting Frame Selection to Query Types for Long-Form Video Understanding
CVPR 2026
Generative Video Compression with One-Dimensional Latent Representation
CVPR 2026
InfiniteWeb: Scalable Web Environment Synthesis for GUI Agent Training
ACL 2026
Single-step Diffusion-based Video Coding with Semantic-Temporal Guidance
CVPR 2026
Ultra-Fast Neural Video Compression
CVPR 2026
Accurate and Scalable Graph Neural Networks via Message Invariance
ICLR 2025
DLF: Extreme Image Compression with Dual-generative Latent Fusion
ICCV 2025
Differentiable Integer Linear Programming
ICLR 2025
Learning Robust Representations with Long-Term Information for Generalization in Visual Reinforcement Learning
ICLR 2025
PICD: Versatile Perceptual Image Compression with Diffusion Rendering
CVPR 2025
Towards Practical Real-Time Neural Video Compression
CVPR 2025
Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling
ICLR 2024
Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models
ICML 2024
Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks
AAAI 2024
Generative Latent Coding for Ultra-Low Bitrate Image Compression
CVPR 2024
Long-term Temporal Context Gathering for Neural Video Compression
ECCV 2024
MILP-StuDio: MILP Instance Generation via Block Structure Decomposition
NeurIPS 2024
Neural Video Compression with Feature Modulation
CVPR 2024
Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework
ICLR 2024
Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework
NeurIPS 2024
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions
NeurIPS 2024
EVC: Towards Real-Time Neural Image Compression with Mask Decay
ICLR 2023
Motion Information Propagation for Neural Video Compression
CVPR 2023
Neural Video Compression With Diverse Contexts
CVPR 2023
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 Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization
AAAI 2022
Neural Compression-Based Feature Learning for Video Restoration
CVPR 2022
Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic
AAAI 2022
Deep Contextual Video Compression
NeurIPS 2021
Affinity Derivation and Graph Merge for Instance Segmentation
ECCV 2018
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