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Wenbin Li

31 papers · 2013–2026 · 9 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ 🌍 Conference Polyglot (9) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸƒ Academic Marathon (12)
🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (9) πŸ—ΊοΈ Taxonomy Completionist (70) 🀝 Dynamic Duo (20) πŸ† Grand Slam πŸ† Keyword Champion (2) πŸ’Ž Century Club (30) ❓ The Questioner πŸš€ Conference Pioneer ⚑ Prolific Year (7) πŸ—ƒοΈ Keyword Collector (142) πŸ”₯ Unstoppable (7)

Conferences

AAAI (8) CVPR (6) IJCAI (6) ICCV (5) ICML (2) CORL (1) ECCV (1) ICLR (1) NIPS (1)

Top co-authors

Yang Gao (20) Jing Huo (12) Lei Wang (7) Tianyu Ding (5) Jinglin Xu (4) Jiebo Luo (3) Yinghuan Shi (3) Tangjie Lv (2) Yujing Hu (2) CHAO LI (2)

Keywords

few-shot learning (7) metric learning (5) vision-language model (3) multi-agent reinforcement learning (2) representation learning (2) transfer learning (2) image classification (2) multi-view learning (2) value decomposition (2) local representation (2) semantic alignment (2) cooperative multi-agent (2) convolutional neural network (2) domain generalization (1) contrastive learning (1) feature learning (1) 3d reconstruction (1) semantic segmentation (1) matrix factorization (1) zero-shot learning (1)

Papers

Branch, or Layer? Zeroth-Order Optimization for Continual Learning of Vision-Language Models AAAI 2026 Adapting In-Domain Few-Shot Segmentation to New Domains without Source Domain Retraining ICCV 2025 Dynamic Multi-Layer Null Space Projection for Vision-Language Continual Learning ICCV 2025 Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration CVPR 2025 AT-Drone: Benchmarking Adaptive Teaming in Multi-Drone Pursuit CORL 2025 Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP AAAI 2025 Effective and Efficient Representation Learning for Flight Trajectories AAAI 2025 Reducing Variance of Stochastic Optimization for Approximating Nash Equilibria in Normal-Form Games ICML 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 STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations IJCAI 2024 Safe and Robust Subgame Exploitation in Imperfect Information Games ICML 2024 Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning AAAI 2024 InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules ICLR 2024 Efficient Subgame Refinement for Extensive-form Games NIPS 2023 Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient AAAI 2023 Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery CVPR 2023 MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters ICCV 2023 Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation ECCV 2022 Manifold Alignment for Semantically Aligned Style Transfer ICCV 2021 LoFGAN: Fusing Local Representations for Few-Shot Image Generation ICCV 2021 Biased Feature Learning for Occlusion Invariant Face Recognition IJCAI 2020 RGBD-Dog: Predicting Canine Pose from RGBD Sensors CVPR 2020 Joint Multi-view 2D Convolutional Neural Networks for 3D Object Classification IJCAI 2020 Deep Embedded Complementary and Interactive Information for Multi-View Classification AAAI 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 Asymmetric Distribution Measure for Few-shot Learning IJCAI 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