Chao Wu

30 papers · 2016–2026 · 12 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🌍 Conference Polyglot (11) 🏃 Academic Marathon (9) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (11)

🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (8) 🗺️ Taxonomy Completionist (43) 🏆 Grand Slam 👑 Triple Crown 🚀 Conference Pioneer 🔥 Unstoppable (5) 💎 Century Club (27) 🗃️ Keyword Collector (106) ❓ The Questioner ⚡ Prolific Year (6)

Conferences

AAAI (5) ICCV (4) ICLR (4) ICML (4) CVPR (3) NIPS (3) ACL (2) EMNLP (1) IJCAI (1) INTERSPEECH (1) MICCAI (1) MIDL (1)

Top co-authors

Zexi Li (7) Kun Kuang (6) Shouhong Ding (5) Jie Zhang (4) Yanzhi Wang (4) Shuang Wu (4) Fei Wu (4) Bo Li (4) Didi Zhu (3) Zhenglun Kong (2)

Research topics

Privacy (1)

Keywords

federated learning (6) knowledge distillation (4) large language model (3) model compression (2) vision transformer (2) domain adaptation (2) data heterogeneity (2) neural collapse (2) representation learning (2) data-free learning (2) diffusion model (2) adversarial robustness (1) reinforcement learning (1) multi-task learning (1) 3d reconstruction (1) adversarial learning (1) model distillation (1) zero-shot learning (1) attention mechanism (1) catastrophic forgetting (1)

Papers

Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning? AAAI 2026 Simplex-Aligned Diffusion with Cross-Granularity Interaction for Robust Medical Image Classification MIDL 2026 Trust Within? Seek Beyond? Knowledge Boundary Aware Policy Optimization for Agentic Search ACL 2026 You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data ICCV 2025 Rewrite to Jailbreak: Discover Learnable and Transferable Implicit Harmfulness Instruction ACL 2025 Dynamic Neural Fortresses: An Adaptive Shield for Model Extraction Defense ICLR 2025 REMEDY: Recipe Merging Dynamics in Large Vision-Language Models ICLR 2025 Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly IJCAI 2025 Noise-Robust Tuning of SAM for Domain Generalized Ultrasound Image Segmentation MICCAI 2025 More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs EMNLP 2024 Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models ICML 2024 Search for Efficient Large Language Models NIPS 2024 Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge AAAI 2024 Distributionally Generative Augmentation for Fair Facial Attribute Classification CVPR 2024 Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning ICLR 2024 Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers AAAI 2024 Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes ICLR 2023 Delving into the Adversarial Robustness of Federated Learning AAAI 2023 PackQViT: Faster Sub-8-bit Vision Transformers via Full and Packed Quantization on the Mobile NIPS 2023 Universal Domain Adaptation via Compressive Attention Matching ICCV 2023 No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier ICCV 2023 Revisiting Weighted Aggregation in Federated Learning with Neural Networks ICML 2023 Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification CVPR 2022 DENSE: Data-Free One-Shot Federated Learning NIPS 2022 Federated Learning with Label Distribution Skew via Logits Calibration ICML 2022 Towards Efficient Data Free Black-Box Adversarial Attack CVPR 2022 Web-based Platform for K-12 AI Education in China AAAI 2021 KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation ICML 2021 Semantic Image Synthesis via Adversarial Learning ICCV 2017 A Robust Dual-Microphone Speech Source Localization Algorithm for Reverberant Environments INTERSPEECH 2016