| 2026 | AAAI | Query-Efficient Domain Knowledge Stealing Against Large Language Models. | Zhengao Li, Xiaopeng Yuan, Bolin Shen, Kien Le, Haohan Wang, Xugui Zhou, Shangqian Gao, Yushun Dong |
| 2026 | ACL | Learning to Conceal Risk: Controllable Multi-turn Red Teaming for LLMs in the Financial Domain. | Gang Cheng, Haibo Jin, Wenbin Zhang, Haohan Wang, Jun Zhuang |
| 2026 | CHI | "Capture Your Experience at This Moment": Collecting Concurrent User Experience Data in Immersive Virtual Environment. | Mingming Wang, Henry Been-Lirn Duh, Xiaoyu Zhang, Yihan Mei, Haohan Wang, Haiyan Jiang, Zhibin Zhou |
| 2026 | EACL | Crafting Adversarial Inputs for Large Vision-Language Models Using Black-Box Optimization. | Jiwei Guan, Hai Jin, Haohan Wang |
| 2026 | EACL | Now You Hear Me: Audio Narrative Attacks Against Large Audio-Language Models. | Ye Yu, Haibo Jin, Yaoning Yu, Jun Zhuang, Haohan Wang |
| 2025 | AAAI | Towards Adversarially Robust Dataset Distillation by Curvature Regularization. | Eric Xue, Yijiang Li, Haoyang Liu, Peiran Wang, Yifan Shen, Haohan Wang |
| 2025 | EMNLP | Exploring the Vulnerability of the Content Moderation Guardrail in Large Language Models via Intent Manipulation. | Jun Zhuang, Hai Jin, Ye Zhang, Zhengjian Kang, Wenbin Zhang, Gaby G. Dagher, Haohan Wang |
| 2025 | GLOBECOM | Beamforming-Codebook-Aware Channel Knowledge Map Construction for Multi-Antenna Systems. | Haohan Wang, Xu Shi, Hengyu Zhang, Yashuai Cao, Jintao Wang |
| 2025 | ICASSP | Generate E-commerce Product Background by Integrating Category Commonality and Personalized Style. | Haohan Wang, Wei Feng, Yaoyu Li, Zheng Zhang, Jingjing Lv, Junjie Shen, Zhangang Lin, Jingping Shao |
| 2025 | ICCV | Customizing Domain Adapters for Domain Generalization. | Yuyang Ji, Zeyi Huang, Haohan Wang, Yong Jae Lee |
| 2025 | ICCV | Dataset Distillation via the Wasserstein Metric. | Haoyang Liu, Yijiang Li, Tiancheng Xing, Peiran Wang, Vibhu Dalal, Luwei Li, Jingrui He, Haohan Wang |
| 2025 | ICCV | Improving Noise Efficiency in Privacy-Preserving Dataset Distillation. | Runkai Zheng, Vishnu Asutosh Dasu, Yinong Oliver Wang, Haohan Wang, Fernando De la Torre |
| 2025 | ICLR | Examining Alignment of Large Language Models through Representative Heuristics: the case of political stereotypes. | Sullam Jeoung, Yubin Ge, Haohan Wang, Jana Diesner |
| 2025 | ICML | Revolve: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization. | Peiyan Zhang, Haibo Jin, Leyang Hu, Xinnuo Li, Liying Kang, Man Luo, Yangqiu Song, Haohan Wang |
| 2025 | WWW | CTR-Driven Advertising Image Generation with Multimodal Large Language Models. | Xingye Chen, Wei Feng, Zhenbang Du, Weizhen Wang, Yanyin Chen, Haohan Wang, Linkai Liu, Yaoyu Li, Jinyuan Zhao, Yu Li, Zheng Zhang, Jingjing Lv, Junjie Shen, Zhangang Lin, Jingping Shao, Yuanjie Shao, Xinge You, Changxin Gao, Nong Sang |
| 2025 | WACV | An Investigation on LLMs' Visual Understanding Ability Using SVG for Image-Text Bridging. | Mu Cai, Zeyi Huang, Yuheng Li, Utkarsh Ojha, Haohan Wang, Yong Jae Lee |
| 2024 | CIKM | Trustworthy and Responsible AI for Information and Knowledge Management System. | Huaming Chen, Jun Zhuang, Yu Yao, Wei Jin, Haohan Wang, Yong Xie, Chi-Hung Chi, Kim-Kwang Raymond Choo |
| 2024 | ECCV | EditShield: Protecting Unauthorized Image Editing by Instruction-Guided Diffusion Models. | Ruoxi Chen, Haibo Jin, Yixin Liu, Jinyin Chen, Haohan Wang, Lichao Sun |
| 2024 | ECCV | Towards Reliable Advertising Image Generation Using Human Feedback. | Zhenbang Du, Wei Feng, Haohan Wang, Yaoyu Li, Jingsen Wang, Jian Li, Zheng Zhang, Jingjing Lv, Xin Zhu, Junsheng Jin, Junjie Shen, Zhangang Lin, Jingping Shao |
| 2024 | ECCV | CatchBackdoor: Backdoor Detection via Critical Trojan Neural Path Fuzzing. | Haibo Jin, Ruoxi Chen, Jinyin Chen, Haibin Zheng, Yang Zhang, Haohan Wang |
| 2024 | ECCV | Simple Unsupervised Knowledge Distillation With Space Similarity. | Aditya Singh, Haohan Wang |
| 2024 | EMNLP | MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification. | Siddhant Bikram Shah, Shuvam Shiwakoti, Maheep Chaudhary, Haohan Wang |
| 2024 | HCI | User Preferences for Icon Design Styles and Their Associations with Personality and Demographic. | Xinyan Zhang, Haohan Wang |
| 2024 | ICLR | Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models. | Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang |
| 2024 | ICML | Language Agent Tree Search Unifies Reasoning, Acting, and Planning in Language Models. | Andy Zhou, Kai Yan, Michal Shlapentokh-Rothman, Haohan Wang, Yu-Xiong Wang |
| 2024 | IGARSS | A Lightweight Network for Radar Specific Emitter Identification via Differential Constellation Figure. | Haohan Wang, Zongyong Cui, Chang Lu, Zongjie Cao |
| 2024 | WWW | DCAI: Data-centric Artificial Intelligence. | Wei Jin, Haohan Wang, Daochen Zha, Qiaoyu Tan, Yao Ma, Sharon Li, Su-In Lee |
| 2023 | AAAI | Calibrated Teacher for Sparsely Annotated Object Detection. | Haohan Wang, Liang Liu, Boshen Zhang, Jiangning Zhang, Wuhao Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang |
| 2023 | AAAI | Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection. | Kun Xiang, Xing Zhang, Jinwen She, Jinpeng Liu, Haohan Wang, Shiqi Deng, Shancheng Jiang |
| 2023 | COMPSAC | Self-learning for Annotating Website Privacy Policies at Scale. | Shufan Ming, Haohan Wang |
| 2023 | ICCV | A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance. | Zeyi Huang, Andy Zhou, Zijian Lin, Mu Cai, Haohan Wang, Yong Jae Lee |
| 2023 | ICML | Optimizing the Collaboration Structure in Cross-Silo Federated Learning. | Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He |
| 2023 | KDD | Trustworthy Machine Learning: Robustness, Generalization, and Interpretability. | Jindong Wang, Haoliang Li, Haohan Wang, Sinno Jialin Pan, Xing Xie |
| 2023 | WSDM | Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network. | Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim |
| 2022 | CVPR | The Two Dimensions of Worst-case Training and Their Integrated Effect for Out-of-domain Generalization. | Zeyi Huang, Haohan Wang, Dong Huang, Yong Jae Lee, Eric P. Xing |
| 2022 | IJCAI | Iterative Few-shot Semantic Segmentation from Image Label Text. | Haohan Wang, Liang Liu, Wuhao Zhang, Jiangning Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang |
| 2022 | KDD | Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation. | Haohan Wang, Zeyi Huang, Xindi Wu, Eric P. Xing |
| 2022 | NAACL | Measure and Improve Robustness in NLP Models: A Survey. | Xuezhi Wang, Haohan Wang, Diyi Yang |
| 2022 | RECOMB | Gene Set Priorization Guided by Regulatory Networks with p-values through Kernel Mixed Model. | Haohan Wang, Oscar L. Lopez, Wei Wu, Eric P. Xing |
| 2022 | UAI | Toward learning human-aligned cross-domain robust models by countering misaligned features. | Haohan Wang, Zeyi Huang, Hanlin Zhang, Yong Jae Lee, Eric P. Xing |
| 2020 | CVPR | High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks. | Haohan Wang, Xindi Wu, Zeyi Huang, Eric P. Xing |
| 2020 | ECCV | Self-challenging Improves Cross-Domain Generalization. | Zeyi Huang, Haohan Wang, Eric P. Xing, Dong Huang |
| 2020 | RECOMB | Supervised Adversarial Alignment of Single-Cell RNA-seq Data. | Songwei Ge, Haohan Wang, Amir Alavi, Eric P. Xing, Ziv Bar-Joseph |
| 2019 | AAAI | 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. | Haohan Wang, Da Sun, Eric P. Xing |
| 2019 | ICLR | Learning Robust Representations by Projecting Superficial Statistics Out. | Haohan Wang, Zexue He, Zachary C. Lipton, Eric P. Xing |
| 2019 | PSB | Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning. | Haohan Wang, Xiang Liu, Yifeng Tao, Wenting Ye, Qiao Jin, William W. Cohen, Eric P. Xing |
| 2019 | PSB | Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications. | Haohan Wang, Zhenglin Wu, Eric P. Xing |
| 2013 | AIED | Using EEG to Improve Massive Open Online Courses Feedback Interaction. | Haohan Wang, Yiwei Li, Xiaobo Hu, Yucong Yang, Zhu Meng, Kai-Min Chang |