Haibing Guan

21 papers · 2019–2026 · 11 conferences · across top CS/AI conferences

Achievements

+9 more ↓

🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (10) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (9)

🌈 Renaissance Researcher (6) 🗺️ Taxonomy Completionist (43) 🌉 Interdisciplinary Bridge 🤝 Dynamic Duo (14) ⚡ Prolific Year (5) 🗃️ Keyword Collector (100) 📈 Trend Setter 🔥 Unstoppable (7) 💎 Century Club (18)

Conferences

AAAI (5) ICCV (4) ECCV (3) CVPR (2) ACL (1) AISTATS (1) EMNLP (1) ICML (1) IJCAI (1) NIPS (1) OSDI (1)

Top co-authors

Yang Hua (15) Tao Song (14) Ruhui Ma (12) Hao Wang (10) Zhengui XUE (10) Jiaru Zhang (6) Hanming Deng (3) Fangxin Liu (3) Jianqing Zhang (3) Xiaoyu Wu (3)

Research topics

Privacy (2)

Keywords

federated learning (4) diffusion model (2) copyright protection (2) bayesian neural network (2) adversarial learning (2) uncertainty quantification (2) personalized federated learning (2) model personalization (2) epistemic uncertainty (2) adversarial robustness (1) model quantization (1) parameter estimation (1) self-supervised learning (1) knowledge transfer (1) feature extraction (1) image classification (1) distributed learning (1) autoregressive generation (1) temporal information (1) domain adaptation (1)

Papers

Poisoning with a Pill: Circumventing Detection in Federated Learning AAAI 2026 Calibrated Speculative Decoding: Frequency-Guided Candidate Selection for Efficient Inference ACL 2026 SpecQuant: Spectral Decomposition and Adaptive Truncation for Ultra-Low-Bit LLMs Quantization AAAI 2026 FlexQuant: A Flexible and Efficient Dynamic Precision Switching Framework for LLM Quantization EMNLP 2025 Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning AISTATS 2025 Stealthy Backdoor Attack in Federated Learning via Adaptive Layer-wise Gradient Alignment ICCV 2025 SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks ECCV 2024 CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion CVPR 2024 GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning ICCV 2023 Eliminating Domain Bias for Federated Learning in Representation Space NIPS 2023 Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples ICML 2023 Security and Performance in the Delegated User-level Virtualization OSDI 2023 FedALA: Adaptive Local Aggregation for Personalized Federated Learning AAAI 2023 Improving Bayesian Neural Networks by Adversarial Sampling AAAI 2022 Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization CVPR 2021 Self-Supervised Vessel Segmentation via Adversarial Learning ICCV 2021 Themis: A Fair Evaluation Platform for Computer Vision Competitions IJCAI 2021 FTL: A universal framework for training low-bit DNNs via Feature Transfer ECCV 2020 Reinforcing Neural Network Stability with Attractor Dynamics AAAI 2020 Dual Adversarial Network for Deep Active Learning ECCV 2020 Object Guided External Memory Network for Video Object Detection ICCV 2019