Hongwei Li

22 papers · 2019–2026 · 8 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🌍 Conference Polyglot (8) 🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (10)

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (4) 🌍 Conference Polyglot (8) 🧬 Topic Evolution 👥 Mega-Team (125) 🔥 Unstoppable (5) ⚡ Prolific Year (5) 🚀 Conference Pioneer 💎 Century Club (18) ❓ The Questioner 🗃️ Keyword Collector (104)

Conferences

AAAI (6) MIDL (6) ICML (4) CVPR (2) ECCV (1) EMNLP (1) NIPS (1) WACV (1)

Top co-authors

Guowen Xu (8) Bjoern Menze (7) Wenbo Jiang (6) Rui Zhang (5) Suprosanna Shit (5) Ivan Ezhov (5) Qingchuan Zhao (4) Wenshu Fan (4) Hanxiao Chen (3) Tianwei Zhang (3)

Research topics

Deep Learning (1) Differential Privacy (1)

Keywords

image segmentation (2) contrastive learning (2) data augmentation (2) medical imaging (2) backdoor attack (2) large language model (2) 3d convolutional neural network (2) adversarial learning (1) domain adaptation (1) representation learning (1) model security (1) visual perception (1) secure computation (1) self-supervised learning (1) autoregressive generation (1) image generation (1) adversarial machine learning (1) multi-task learning (1) attention mechanism (1) vision transformer (1)

Papers

MPMA: Preference Manipulation Attack Against Model Context Protocol AAAI 2026 ConfGuard: A Simple and Effective Backdoor Detection for Large Language Models AAAI 2026 MartDE: A Privacy-Preserving and Cost-Efficient Evaluation Framework for Data Marketplaces AAAI 2026 Leveraging Visual Blur Perception Characteristics for EEG Decoding AAAI 2026 Omni-Angle Assault: An Invisible and Powerful Physical Adversarial Attack on Face Recognition ICML 2025 PatchPilot: A Cost-Efficient Software Engineering Agent with Early Attempts on Formal Verification ICML 2025 The Ripple Effect: On Unforeseen Complications of Backdoor Attacks ICML 2025 LAGCL4Rec: When LLMs Activate Interactions Potential in Graph Contrastive Learning for Recommendation EMNLP 2025 Watch Out for Your Guidance on Generation! Exploring Conditional Backdoor Attacks against Large Language Models AAAI 2025 GuardHFL: Privacy Guardian for Heterogeneous Federated Learning ICML 2023 Vesselformer: Towards Complete 3D Vessel Graph Generation from Images MIDL 2023 Color Backdoor: A Robust Poisoning Attack in Color Space CVPR 2023 Why Is the Winner the Best? CVPR 2023 ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations MIDL 2023 Iron: Private Inference on Transformers NIPS 2022 Relationformer: A Unified Framework for Image-to-Graph Generation ECCV 2022 METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy WACV 2022 A Bottom-Up DAG Structure Extraction Model for Math Word Problems AAAI 2021 Feedback Graph Attention Convolutional Network for MR Images Enhancement by Exploring Self-Similarity Features MIDL 2021 Residual learning for 3D motion corrected quantitative MRI: Robust clinical T1, T2 and proton density mapping MIDL 2021 Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective. MIDL 2020 Group-Attention Single-Shot Detector (GA-SSD): Finding Pulmonary Nodules in Large-Scale CT Images MIDL 2019