Haohan Wang

38 papers · 2019–2026 · 14 conferences · across top CS/AI conferences

Achievements

+12 more ↓

🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (10) 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (12)

🐝 Cross-Pollinator (12) 🗺️ Taxonomy Completionist (10) 🧭 Keyword Pioneer 👑 Triple Crown 🏆 Grand Slam 🗃️ Keyword Collector (116) ⚡ Prolific Year (9) 🚀 Conference Pioneer 📈 Trend Setter 💎 Century Club (34) 🔥 Unstoppable (7) ❓ The Questioner

Conferences

NIPS (6) AAAI (5) ECCV (5) ICCV (4) EMNLP (3) ICLR (3) ICML (3) CVPR (2) EACL (2) ACL (1) IJCAI (1) NAACL (1) UAI (1) WACV (1)

Top co-authors

Haibo Jin (8) Zeyi Huang (7) Eric P. Xing (7) Andy Zhou (5) Yong Jae Lee (5) Jun Zhuang (3) Haoyang Liu (3) Jingrui He (3) Liang Liu (2) Haoqian Wang (2)

Research topics

Applications (1)

Keywords

large language model (5) adversarial robustness (5) domain generalization (5) domain adaptation (4) jailbreak attack (4) distribution shift (4) image classification (3) synthetic datum (3) dataset distillation (3) knowledge distillation (3) vision-language model (3) adversarial attack (3) unsupervised learning (2) adversarial defense (2) convolutional neural network (2) adversarial training (2) representation learning (2) natural language inference (2) federated learning (2) model robustness (2)

Papers

Now You Hear Me: Audio Narrative Attacks Against Large Audio–Language Models EACL 2026 Learning to Conceal Risk: Controllable Multi-turn Red Teaming for LLMs in the Financial Domain ACL 2026 Query-Efficient Domain Knowledge Stealing Against Large Language Models AAAI 2026 Crafting Adversarial Inputs for Large Vision-Language Models Using Black-Box Optimization EACL 2026 Exploring the Vulnerability of the Content Moderation Guardrail in Large Language Models via Intent Manipulation EMNLP 2025 Towards Adversarially Robust Dataset Distillation by Curvature Regularization AAAI 2025 Dataset Distillation via the Wasserstein Metric ICCV 2025 Customizing Domain Adapters for Domain Generalization ICCV 2025 Improving Noise Efficiency in Privacy-preserving Dataset Distillation ICCV 2025 Examining Alignment of Large Language Models through Representative Heuristics: the case of political stereotypes ICLR 2025 Revolve: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization ICML 2025 An Investigation on LLMs' Visual Understanding Ability using SVG for Image-Text Bridging WACV 2025 Simple Unsupervised Knowledge Distillation With Space Similarity ECCV 2024 Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters NIPS 2024 Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks NIPS 2024 EditShield: Protecting Unauthorized Image Editing by Instruction-guided Diffusion Models ECCV 2024 Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models ICLR 2024 Language Agent Tree Search Unifies Reasoning, Acting, and Planning in Language Models ICML 2024 MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification EMNLP 2024 Towards Reliable Advertising Image Generation Using Human Feedback ECCV 2024 CatchBackdoor: Backdoor Detection via Critical Trojan Neural Path Fuzzing ECCV 2024 Adaptive Test-Time Personalization for Federated Learning NIPS 2023 Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection AAAI 2023 Calibrated Teacher for Sparsely Annotated Object Detection AAAI 2023 A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance ICCV 2023 Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models NIPS 2023 Optimizing the Collaboration Structure in Cross-Silo Federated Learning ICML 2023 The Two Dimensions of Worst-Case Training and Their Integrated Effect for Out-of-Domain Generalization CVPR 2022 Toward learning human-aligned cross-domain robust models by countering misaligned features UAI 2022 Iterative Few-shot Semantic Segmentation from Image Label Text IJCAI 2022 Measure and Improve Robustness in NLP Models: A Survey NAACL 2022 Robust Contrastive Learning Using Negative Samples with Diminished Semantics NIPS 2021 Self-Challenging Improves Cross-Domain Generalization ECCV 2020 High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks CVPR 2020 Learning Robust Representations by Projecting Superficial Statistics Out ICLR 2019 Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual EMNLP 2019 What if We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks AAAI 2019 Learning Robust Global Representations by Penalizing Local Predictive Power NIPS 2019