Wenbin Li
35 papers · 2013–2026 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (74) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Dynamic Duo
(24)
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Prolific Year Β· Productive
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Unstoppable Β· Bronze
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The Questioner
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Century Club Β· Bronze
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Conference Pioneer
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Renaissance Researcher
(7)
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Keyword Collector
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Top co-authors
Research topics
Machine Learning
(24)
Artificial Intelligence
(17)
Learning Types Β· Machine Learning
(15)
Computer Vision
(14)
Core AI
(14)
Deep Learning
(13)
Core Methods
(11)
Analysis
(10)
Learning Types Β· Deep Learning
(8)
Learning Paradigms
(6)
Reinforcement Learning
(5)
Application Areas
(5)
Architectures
(5)
Optimization & Theory
(4)
Mathematics & Optimization
(3)
Keywords
few-shot learning
(9)
metric learning
(5)
vision-language model
(3)
local representation
(2)
imperfect information game
(2)
value decomposition
(2)
convolutional neural network
(2)
semantic alignment
(2)
representation learning
(2)
parameter-efficient fine-tuning
(2)
multi-agent reinforcement learning
(2)
semantic segmentation
(2)
domain generalization
(2)
image classification
(2)
class-incremental learning
(2)
multi-view learning
(2)
transfer learning
(2)
domain adaptation
(2)
cooperative multi-agent
(2)
feature learning
(1)
Papers
Branch, or Layer? Zeroth-Order Optimization for Continual Learning of Vision-Language Models
AAAI 2026
Prompt-Free Universal Region Proposal Network
CVPR 2026
SAME: Sparse and Anchored Model Editing for Heterogeneous Incremental Learning under Limited Data
CVPR 2026
Selective, Regularized, and Calibrated: Harnessing Vision Foundation Models for Cross-Domain Few-Shot Semantic Segmentation
CVPR 2026
Understanding and Enforcing Weight Disentanglement in Task Arithmetic
CVPR 2026
Adapting In-Domain Few-Shot Segmentation to New Domains without Source Domain Retraining
ICCV 2025
AT-Drone: Benchmarking Adaptive Teaming in Multi-Drone Pursuit
CoRL 2025
Dynamic Multi-Layer Null Space Projection for Vision-Language Continual Learning
ICCV 2025
Effective and Efficient Representation Learning for Flight Trajectories
AAAI 2025
Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration
CVPR 2025
Reducing Variance of Stochastic Optimization for Approximating Nash Equilibria in Normal-Form Games
ICML 2025
Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP
AAAI 2025
DTS-TPT: Dual Temporal-Sync Test-time Prompt Tuning for Zero-shot Activity Recognition
IJCAI 2024
Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation
CVPR 2024
InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules
ICLR 2024
Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning
AAAI 2024
Safe and Robust Subgame Exploitation in Imperfect Information Games
ICML 2024
STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations
IJCAI 2024
Efficient Subgame Refinement for Extensive-form Games
NeurIPS 2023
Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient
AAAI 2023
MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters
ICCV 2023
Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery
CVPR 2023
Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation
ECCV 2022
LoFGAN: Fusing Local Representations for Few-Shot Image Generation
ICCV 2021
Manifold Alignment for Semantically Aligned Style Transfer
ICCV 2021
Asymmetric Distribution Measure for Few-shot Learning
IJCAI 2020
Biased Feature Learning for Occlusion Invariant Face Recognition
IJCAI 2020
Deep Embedded Complementary and Interactive Information for Multi-View Classification
AAAI 2020
Joint Multi-view 2D Convolutional Neural Networks for 3D Object Classification
IJCAI 2020
Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio
AAAI 2020
Learning Task-aware Local Representations for Few-shot Learning
IJCAI 2020
RGBD-Dog: Predicting Canine Pose from RGBD Sensors
CVPR 2020
Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning
AAAI 2019
Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning
CVPR 2019
Optical Flow Estimation Using Laplacian Mesh Energy
CVPR 2013