Wei Shao

29 papers · 2021–2026 · 12 conferences · across top CS/AI conferences

Achievements

+8 more ↓

🌍 Conference Polyglot (11) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14)

🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (11) 🧭 Keyword Pioneer 🗃️ Keyword Collector (118) 🚀 Conference Pioneer 💎 Century Club (26) 🔥 Unstoppable (5) ⚡ Prolific Year (10)

Conferences

CVPR (7) MICCAI (5) ACL (4) EMNLP (4) IJCAI (2) AAAI (1) CORL (1) ICCV (1) ICLR (1) ICML (1) NAACL (1) WACV (1)

Top co-authors

Daoqiang Zhang (9) Peng Wan (8) Jiao Tang (5) Junjie Zhou (4) Yuyin Zhou (4) Cihang Xie (3) Linqi Song (3) Feng Wang (3) Alan Yuille (3) Sucheng Ren (2)

Keywords

graph neural network (4) multimodal learning (3) self-supervised learning (3) contrastive learning (3) large language model (3) sentence embedding (3) tumor microenvironment (2) transfer learning (2) few-shot learning (2) image classification (2) cancer prognosis (2) state space model (2) semantic segmentation (2) knowledge distillation (2) vision mamba (2) pathology image (2) representation learning (2) feature extraction (1) domain adaptation (1) zero-shot learning (1)

Papers

Synthetic Forgetting Without Access: A Few-Shot Zero-Glance Framework for Machine Unlearning AAAI 2026 LoPT: Lossless Parallel Tokenization Acceleration for Long Context Inference of Large Language Model ACL 2026 Detoxification for LLM: From Dataset Itself ACL 2026 AcZeroTS: Active Learning for Zero-shot Tissue Segmentation in Pathology Images ICCV 2025 Mamba-Reg: Vision Mamba Also Needs Registers CVPR 2025 Robust Multimodal Survival Prediction with Conditional Latent Differentiation Variational AutoEncoder CVPR 2025 Adventurer: Optimizing Vision Mamba Architecture Designs for Efficiency CVPR 2025 DAMM-Diffusion: Learning Divergence-Aware Multi-Modal Diffusion Model for Nanoparticles Distribution Prediction CVPR 2025 Multi-modal Topology-embedded Graph Learning for Spatially Resolved Genes Prediction from Pathology Images with Prior Gene Similarity Information CVPR 2025 Scaling Laws in Patchification: An Image Is Worth 50,176 Tokens And More ICML 2025 Cost-effective Active Learning for Nucleus Detection Using Crowdsourced Annotations with Dynamic Weighting Adjustment MICCAI 2025 LTSE: Language-guided Tissue Referring Segmentation in Pathology Images with Adaptive Expert Mixture MICCAI 2025 Text2Sql: Pure Fine-Tuning and Pure Knowledge Distillation NAACL 2025 Correlation-adaptive Multi-view CEUS Fusion for Liver Cancer Diagnosis MICCAI 2024 Tumor Micro-environment Interactions Guided Graph Learning for Survival Analysis of Human Cancers from Whole-slide Pathological Images CVPR 2024 CLOMO: Counterfactual Logical Modification with Large Language Models ACL 2024 Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding CVPR 2024 PET Image Denoising Based on 3D Denoising Diffusion Probabilistic Model: Evaluations on Total-Body Datasets MICCAI 2024 OSAL-ND: Open-set Active Learning for Nucleus Detection MICCAI 2024 DistillCSE: Distilled Contrastive Learning for Sentence Embeddings EMNLP 2023 CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning ICLR 2023 SimCSE++: Improving Contrastive Learning for Sentence Embeddings from Two Perspectives EMNLP 2023 Reconstruct Before Summarize: An Efficient Two-Step Framework for Condensing and Summarizing Meeting Transcripts EMNLP 2023 Task-Aware Self-Supervised Framework for Dialogue Discourse Parsing EMNLP 2023 CoBEVT: Cooperative Bird’s Eye View Semantic Segmentation with Sparse Transformers CORL 2022 A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence Embeddings ACL 2022 Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention IJCAI 2022 Transfer Learning via Optimal Transportation for Integrative Cancer Patient Stratification IJCAI 2021 Towards Fair Cross-Domain Adaptation via Generative Learning WACV 2021