Haohan Wang

199 papers A* 25A 5B 4C 1Misc 3Journal 131Unranked 30
YearRankTypeTitle / Venue / Authors
2026 A* conf
"Capture Your Experience at This Moment": Collecting Concurrent User Experience Data in Immersive Virtual Environment.
CHI
Mingming Wang, Henry Been-Lirn Duh, Xiaoyu Zhang, Yihan Mei, Haohan Wang, Haiyan Jiang, Zhibin Zhou
2026 J jnl
Agent Primitives: Reusable Latent Building Blocks for Multi-Agent Systems.
CoRR
Haibo Jin, Kuang Peng, Ye Yu, Xiaopeng Yuan, Haohan Wang
2026 J jnl
Controlling Output Rankings in Generative Engines for LLM-based Search.
CoRR
Haibo Jin, Ruoxi Chen, Peiyan Zhang, Yifeng Luo, Huimin Zeng, Man Luo, Haohan Wang
2026 — conf
Crafting Adversarial Inputs for Large Vision-Language Models Using Black-Box Optimization.
EACL (Findings)
Jiwei Guan, Hai Jin, Haohan Wang
2026 J jnl
Crafting Adversarial Inputs for Large Vision-Language Models Using Black-Box Optimization.
CoRR
Jiwei Guan, Hai Jin, Haohan Wang
2026 J jnl
Large Language Model-based Data Science Agent: A Survey.
Trans. Mach. Learn. Res.
Ke Chen, Peiran Wang, Yaoning Yu, Xianyang Zhan, Haohan Wang
2026 J jnl
Multi-Turn Jailbreaking of Aligned LLMs via Lexical Anchor Tree Search.
CoRR
Devang Kulshreshtha, Hang Su, Chinmay Hegde, Haohan Wang
2026 — conf
Now You Hear Me: Audio Narrative Attacks Against Large Audio-Language Models.
EACL (Volume 1: Long Papers)
Ye Yu, Haibo Jin, Yaoning Yu, Jun Zhuang, Haohan Wang
2026 J jnl
Now You Hear Me: Audio Narrative Attacks Against Large Audio-Language Models.
CoRR
Ye Yu, Haibo Jin, Yaoning Yu, Jun Zhuang, Haohan Wang
2026 J jnl
One Size, Many Fits: Aligning Diverse Group-Wise Click Preferences in Large-Scale Advertising Image Generation.
CoRR
Shuo Lu, Haohan Wang, Wei Feng, Weizhen Wang, Shen Zhang, Yaoyu Li, Ao Ma, Zheng Zhang, Jingjing Lv, Junjie Shen, Ching Law, Bing Zhan, Yuan Xu, Huizai Yao, Yongcan Yu, Chenyang Si, Jian Liang
2026 A* conf
Query-Efficient Domain Knowledge Stealing Against Large Language Models.
AAAI
Zhengao Li, Xiaopeng Yuan, Bolin Shen, Kien Le, Haohan Wang, Xugui Zhou, Shangqian Gao, Yushun Dong
2025 J jnl
A Scoping Review of Synthetic Data Generation for Biomedical Research and Applications.
CoRR
Hanshu Rao, Weisi Liu, Haohan Wang, I-Chan Huang, Zhe He, Xiaolei Huang
2025 J jnl
A Unified Evaluation-Instructed Framework for Query-Dependent Prompt Optimization.
CoRR
Ke Chen, Yifeng Wang, Hassan Almosapeeh, Haohan Wang
2025 J jnl
Achilles Heel of Distributed Multi-Agent Systems.
CoRR
Yiting Zhang, Yijiang Li, Tianwei Zhao, Kaijie Zhu, Haohan Wang, Nuno Vasconcelos
2025 J jnl
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems.
CoRR
Bang Liu, Xinfeng Li, Jiayi Zhang, Jinlin Wang, Tanjin He, Sirui Hong, Hongzhang Liu, Shaokun Zhang, Kaitao Song, Kunlun Zhu, Yuheng Cheng, Suyuchen Wang, Xiaoqiang Wang, Yuyu Luo, Haibo Jin, Peiyan Zhang, Ollie Liu, Jiaqi Chen, Huan Zhang, Zhaoyang Yu, Haochen Shi, Boyan Li, Dekun Wu, Fengwei Teng, Xiaojun Jia, Jiawei Xu, Jinyu Xiang, Yizhang Lin, Tianming Liu, Tongliang Liu, Yu Su, Huan Sun, Glen Berseth, Jianyun Nie, Ian T. Foster, Logan T. Ward, Qingyun Wu, Yu Gu, Mingchen Zhuge, Xiangru Tang, Haohan Wang, Jiaxuan You, Chi Wang, Jian Pei, Qiang Yang, Xiaoliang Qi, Chenglin Wu
2025 J jnl
Advancing Session-Based Recommendations with Atten-Mixer+: Dynamic and Adaptive Multi-Level Intent Mining.
ACM Trans. Intell. Syst. Technol.
Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Liying Kang, Jaeboum Kim, Jie Xu, Xi Zhang, Yan Zhang, Haohan Wang, Sunghun Kim
2025 A conf
An Investigation on LLMs' Visual Understanding Ability Using SVG for Image-Text Bridging.
WACV
Mu Cai, Zeyi Huang, Yuheng Li, Utkarsh Ojha, Haohan Wang, Yong Jae Lee
2025 — conf
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers.
CPAL
Haoyang Liu, Aditya Singh, Yijiang Li, Haohan Wang
2025 B conf
Beamforming-Codebook-Aware Channel Knowledge Map Construction for Multi-Antenna Systems.
GLOBECOM
Haohan Wang, Xu Shi, Hengyu Zhang, Yashuai Cao, Jintao Wang
2025 J jnl
Beamforming-Codebook-Aware Channel Knowledge Map Construction for Multi-Antenna Systems.
CoRR
Haohan Wang, Xu Shi, Hengyu Zhang, Yashuai Cao, Jintao Wang
2025 A* conf
CTR-Driven Advertising Image Generation with Multimodal Large Language Models.
WWW
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 J jnl
CTR-Driven Advertising Image Generation with Multimodal Large Language Models.
CoRR
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 J jnl
CrossWordBench: Evaluating the Reasoning Capabilities of LLMs and LVLMs with Controllable Puzzle Generation.
CoRR
Jixuan Leng, Chengsong Huang, Langlin Huang, Bill Yuchen Lin, William W. Cohen, Haohan Wang, Jiaxin Huang
2025 J jnl
Deconstructing the ethics of large language models from long-standing issues to new-emerging dilemmas: a survey.
AI Ethics
Chengyuan Deng, Yiqun Duan, Xin Jin, Heng Chang, Yijun Tian, Han Liu, Yichen Wang, Kuofeng Gao, Henry Peng Zou, Yiqiao Jin, Yijia Xiao, Shenghao Wu, Zongxing Xie, Weimin Lyu, Sihong He, Lu Cheng, Haohan Wang, Jun Zhuang
2025 J jnl
Discovery of Disease Relationships via Transcriptomic Signature Analysis Powered by Agentic AI.
CoRR
Ke Chen, Haohan Wang
2025 J jnl
Energy Efficiency Optimization for Symbol-Level Precoding-Aided RSMA MIMO System.
IEEE Wirel. Commun. Lett.
Haohan Wang, Xu Shi, Hengyu Zhang, Yashuai Cao, Jintao Wang
2025 J jnl
Examining Alignment of Large Language Models through Representative Heuristics: The Case of Political Stereotypes.
CoRR
Sullam Jeoung, Yubin Ge, Haohan Wang, Jana Diesner
2025 A* conf
Examining Alignment of Large Language Models through Representative Heuristics: the case of political stereotypes.
ICLR
Sullam Jeoung, Yubin Ge, Haohan Wang, Jana Diesner
2025 — conf
Exploring the Vulnerability of the Content Moderation Guardrail in Large Language Models via Intent Manipulation.
EMNLP (Findings)
Jun Zhuang, Hai Jin, Ye Zhang, Zhengjian Kang, Wenbin Zhang, Gaby G. Dagher, Haohan Wang
2025 J jnl
Exploring the Vulnerability of the Content Moderation Guardrail in Large Language Models via Intent Manipulation.
CoRR
Jun Zhuang, Hai Jin, Ye Zhang, Zhengjian Kang, Wenbin Zhang, Gaby G. Dagher, Haohan Wang
2025 J jnl
From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models.
CoRR
Haibo Jin, Peiyan Zhang, Peiran Wang, Man Luo, Haohan Wang
2025 J jnl
GUARD: Guideline Upholding Test through Adaptive Role-play and Jailbreak Diagnostics for LLMs.
CoRR
Haibo Jin, Ruoxi Chen, Peiyan Zhang, Andy Zhou, Yang Zhang, Haohan Wang
2025 Misc conf
Generate E-commerce Product Background by Integrating Category Commonality and Personalized Style.
ICASSP
Haohan Wang, Wei Feng, Yaoyu Li, Zheng Zhang, Jingjing Lv, Junjie Shen, Zhangang Lin, Jingping Shao
2025 J jnl
GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis.
CoRR
Haoyang Liu, Yijiang Li, Haohan Wang
2025 J jnl
GuardVal: Dynamic Large Language Model Jailbreak Evaluation for Comprehensive Safety Testing.
CoRR
Peiyan Zhang, Haibo Jin, Liying Kang, Haohan Wang
2025 J jnl
IMPROVE: Iterative Model Pipeline Refinement and Optimization Leveraging LLM Agents.
CoRR
Eric Xue, Zeyi Huang, Yuyang Ji, Haohan Wang
2025 J jnl
Improving Noise Efficiency in Privacy-preserving Dataset Distillation.
CoRR
Runkai Zheng, Vishnu Asutosh Dasu, Yinong Oliver Wang, Haohan Wang, Fernando De la Torre
2025 J jnl
InfoFlood: Jailbreaking Large Language Models with Information Overload.
CoRR
Advait Yadav, Haibo Jin, Man Luo, Jun Zhuang, Haohan Wang
2025 J jnl
Large Language Model-based Data Science Agent: A Survey.
CoRR
Peiran Wang, Yaoning Yu, Ke Chen, Xianyang Zhan, Haohan Wang
2025 J jnl
Leveraging Channel Knowledge Map for Multi-User Hierarchical Beam Training Under Position Uncertainty.
CoRR
Xu Shi, Haohan Wang, Yashuai Cao, Hengyu Zhang, Sufang Yang, Jintao Wang
2025 J jnl
Optimal Aggregation of LLM and PRM Signals for Efficient Test-Time Scaling.
CoRR
Peng Kuang, Yanli Wang, Xiaoyu Han, Yaowenqi Liu, Kaidi Xu, Haohan Wang
2025 J jnl
PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models.
CoRR
Ye Yu, Yaoning Yu, Haohan Wang
2025 — conf
Privacy-Preserving Analysis of Wearable Device Data for Monitoring Health Risks.
ICHI
Yue Xu, Sirihaasa Nallamothu, Cory Culbertson, Haohan Wang
2025 J jnl
Prompt Stability Matters: Evaluating and Optimizing Auto-Generated Prompt in General-Purpose Systems.
CoRR
Ke Chen, Yufei Zhou, Xitong Zhang, Haohan Wang
2025 J jnl
Re-assessing accuracy degradation: a framework for understanding DNN behavior on similar-but-non-identical test datasets.
Mach. Learn.
Esla Timothy Anzaku, Haohan Wang, Ajiboye Babalola, Arnout Van Messem, Wesley De Neve
2025 J jnl
Reasoning Can Hurt the Inductive Abilities of Large Language Models.
CoRR
Haibo Jin, Peiyan Zhang, Man Luo, Haohan Wang
2025 A* conf
Revolve: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization.
ICML
Peiyan Zhang, Haibo Jin, Leyang Hu, Xinnuo Li, Liying Kang, Man Luo, Yangqiu Song, Haohan Wang
2025 J jnl
SIPDO: Closed-Loop Prompt Optimization via Synthetic Data Feedback.
CoRR
Yaoning Yu, Ye Yu, Kai Wei, Haojing Luo, Haohan Wang
2025 J jnl
Similarity to Availability: Synthetic Data Assisted SAR Target Recognition via Global Feature Compensation.
IEEE Trans. Aerosp. Electron. Syst.
Zongyong Cui, Hengyi Hu, Zheng Zhou, Haohan Wang, Zongjie Cao, Jianyu Yang
2025 J jnl
Socratic Chart: Cooperating Multiple Agents for Robust SVG Chart Understanding.
CoRR
Yuyang Ji, Haohan Wang
2025 J jnl
Synthetic Data-Driven Prompt Tuning for Financial QA over Tables and Documents.
CoRR
Yaoning Yu, Kaimin Chang, Ye Yu, Kai Wei, Haojing Luo, Haohan Wang
2025 A* conf
Towards Adversarially Robust Dataset Distillation by Curvature Regularization.
AAAI
Eric Xue, Yijiang Li, Haoyang Liu, Peiran Wang, Yifan Shen, Haohan Wang
2025 J jnl
Tracing LLM Reasoning Processes with Strategic Games: A Framework for Planning, Revision, and Resource-Constrained Decision Making.
CoRR
Xiaopeng Yuan, Xingjian Zhang, Ke Xu, Yifan Xu, Lijun Yu, Jindong Wang, Yushun Dong, Haohan Wang
2025 J jnl
Uncovering the Vulnerability of Large Language Models in the Financial Domain via Risk Concealment.
CoRR
Gang Cheng, Hai Jin, Wenbin Zhang, Haohan Wang, Jun Zhuang
2024 C conf
A Lightweight Network for Radar Specific Emitter Identification via Differential Constellation Figure.
IGARSS
Haohan Wang, Zongyong Cui, Chang Lu, Zongjie Cao
2024 — conf
A Quantitative Approach for Evaluating Disease Focus and Interpretability of Deep Learning Models for Alzheimer's Disease Classification.
BIBM
Thomas Yu Chow Tam, Litian Liang, Ke Chen, Haohan Wang, Wei Wu
2024 J jnl
A Quantitative Approach for Evaluating Disease Focus and Interpretability of Deep Learning Models for Alzheimer's Disease Classification.
CoRR
Thomas Yu Chow Tam, Litian Liang, Ke Chen, Haohan Wang, Wei Wu
2024 J jnl
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers.
CoRR
Haoyang Liu, Aditya Singh, Yijiang Li, Haohan Wang
2024 J jnl
BadLabel: A Robust Perspective on Evaluating and Enhancing Label-Noise Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Jingfeng Zhang, Bo Song, Haohan Wang, Bo Han, Tongliang Liu, Lei Liu, Masashi Sugiyama
2024 J jnl
Beyond Finite Data: Towards Data-free Out-of-distribution Generalization via Extrapolation.
CoRR
Yijiang Li, Sucheng Ren, Weipeng Deng, Yuzhi Xu, Ying Gao, Edith C. H. Ngai, Haohan Wang
2024 — conf
CatchBackdoor: Backdoor Detection via Critical Trojan Neural Path Fuzzing.
ECCV (47)
Haibo Jin, Ruoxi Chen, Jinyin Chen, Haibin Zheng, Yang Zhang, Haohan Wang
2024 J jnl
Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain Generalization.
Trans. Mach. Learn. Res.
Jixuan Leng, Yijiang Li, Haohan Wang
2024 J jnl
Conflict-Aware Adversarial Training.
CoRR
Zhiyu Xue, Haohan Wang, Yao Qin, Ramtin Pedarsani
2024 — conf
DCAI: Data-centric Artificial Intelligence.
WWW (Companion Volume)
Wei Jin, Haohan Wang, Daochen Zha, Qiaoyu Tan, Yao Ma, Sharon Li, Su-In Lee
2024 J jnl
DS-ViT: Dual-Stream Vision Transformer for Cross-Task Distillation in Alzheimer's Early Diagnosis.
CoRR
Ke Chen, Yifeng Wang, Yufei Zhou, Haohan Wang
2024 J jnl
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas.
CoRR
Chengyuan Deng, Yiqun Duan, Xin Jin, Heng Chang, Yijun Tian, Han Liu, Henry Peng Zou, Yiqiao Jin, Yijia Xiao, Yichen Wang, Shenghao Wu, Zongxing Xie, Kuofeng Gao, Sihong He, Jun Zhuang, Lu Cheng, Haohan Wang
2024 — conf
DiffSim: Aligning Diffusion Model and Molecular Dynamics Simulation for Blind Docking.
BIBM
Yanlin Fei, Yurui Li, Zhiling Zhou, Haohan Wang
2024 J jnl
DistDD: Distributed Data Distillation Aggregation through Gradient Matching.
CoRR
Peiran Wang, Haohan Wang
2024 — conf
EditShield: Protecting Unauthorized Image Editing by Instruction-Guided Diffusion Models.
ECCV (63)
Ruoxi Chen, Haibo Jin, Yixin Liu, Jinyin Chen, Haohan Wang, Lichao Sun
2024 A* conf
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models.
ICLR
Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang
2024 J jnl
From Tissue Plane to Organ World: A Benchmark Dataset for Multimodal Biomedical Image Registration using Deep Co-Attention Networks.
CoRR
Yifeng Wang, Weipeng Li, Thomas Pearce, Haohan Wang
2024 J jnl
GUARD: Role-playing to Generate Natural-language Jailbreakings to Test Guideline Adherence of Large Language Models.
CoRR
Haibo Jin, Ruoxi Chen, Andy Zhou, Jinyin Chen, Yang Zhang, Haohan Wang
2024 J jnl
GenoTEX: A Benchmark for Evaluating LLM-Based Exploration of Gene Expression Data in Alignment with Bioinformaticians.
CoRR
Haoyang Liu, Haohan Wang
2024 J jnl
JailbreakZoo: Survey, Landscapes, and Horizons in Jailbreaking Large Language and Vision-Language Models.
CoRR
Haibo Jin, Leyang Hu, Xinuo Li, Peiyan Zhang, Chonghan Chen, Jun Zhuang, Haohan Wang
2024 A* conf
Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters.
NeurIPS
Haibo Jin, Andy Zhou, Joe D. Menke, Haohan Wang
2024 J jnl
Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters.
CoRR
Haibo Jin, Andy Zhou, Joe D. Menke, Haohan Wang
2024 A* conf
Language Agent Tree Search Unifies Reasoning, Acting, and Planning in Language Models.
ICML
Andy Zhou, Kai Yan, Michal Shlapentokh-Rothman, Haohan Wang, Yu-Xiong Wang
2024 J jnl
MedTransformer: Accurate AD Diagnosis for 3D MRI Images through 2D Vision Transformers.
CoRR
Yifeng Wang, Ke Chen, Yihan Zhang, Haohan Wang
2024 A* conf
MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification.
EMNLP
Siddhant Bikram Shah, Shuvam Shiwakoti, Maheep Chaudhary, Haohan Wang
2024 J jnl
MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification.
CoRR
Siddhant Bikram Shah, Shuvam Shiwakoti, Maheep Chaudhary, Haohan Wang
2024 — conf
Model-Agnostic Channel Prediction with Meta Predictive Recurrent Neural Networks.
ICC Workshops
Lei Chu, Haohan Wang, Andreas F. Molisch
2024 J jnl
Quantitative Evaluation of the Saliency Map for Alzheimer's Disease Classifier with Anatomical Segmentation.
CoRR
Yihan Zhang, Xuanshuo Zhang, Wei Wu, Haohan Wang
2024 J jnl
Revolve: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization.
CoRR
Peiyan Zhang, Haibo Jin, Leyang Hu, Xinnuo Li, Liying Kang, Man Luo, Yangqiu Song, Haohan Wang
2024 A* conf
Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks.
NeurIPS
Andy Zhou, Bo Li, Haohan Wang
2024 J jnl
Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks.
CoRR
Andy Zhou, Bo Li, Haohan Wang
2024 J jnl
SAR Incremental Automatic Target Recognition Based on Mutual Information Maximization.
IEEE Geosci. Remote. Sens. Lett.
Bin Li, Zongyong Cui, Haohan Wang, Yijie Deng, Jizhen Ma, Jianyu Yang, Zongjie Cao
2024 — conf
Simple Unsupervised Knowledge Distillation With Space Similarity.
ECCV (2)
Aditya Singh, Haohan Wang
2024 J jnl
Simple Unsupervised Knowledge Distillation With Space Similarity.
CoRR
Aditya Singh, Haohan Wang
2024 J jnl
The Devil is in the Edges: Monocular Depth Estimation with Edge-aware Consistency Fusion.
CoRR
Pengzhi Li, Yikang Ding, Haohan Wang, Chengshuai Tang, Zhiheng Li
2024 J jnl
Toward a Team of AI-made Scientists for Scientific Discovery from Gene Expression Data.
CoRR
Haoyang Liu, Yijiang Li, Jinglin Jian, Yuxuan Cheng, Jianrong Lu, Shuyi Guo, Jinglei Zhu, Mianchen Zhang, Miantong Zhang, Haohan Wang
2024 J jnl
Towards Adversarially Robust Dataset Distillation by Curvature Regularization.
CoRR
Eric Xue, Yijiang Li, Haoyang Liu, Yifan Shen, Haohan Wang
2024 — conf
Towards Reliable Advertising Image Generation Using Human Feedback.
ECCV (20)
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 J jnl
Towards Reliable Advertising Image Generation Using Human Feedback.
CoRR
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 J jnl
Towards Understanding Adversarial Transferability in Federated Learning.
Trans. Mach. Learn. Res.
Yijiang Li, Ying Gao, Haohan Wang
2024 A conf
Trustworthy and Responsible AI for Information and Knowledge Management System.
CIKM
Huaming Chen, Jun Zhuang, Yu Yao, Wei Jin, Haohan Wang, Yong Xie, Chi-Hung Chi, Kim-Kwang Raymond Choo
2024 — conf
User Preferences for Icon Design Styles and Their Associations with Personality and Demographic.
HCI (56)
Xinyan Zhang, Haohan Wang
2023 A* conf
A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance.
ICCV
Zeyi Huang, Andy Zhou, Zijian Lin, Mu Cai, Haohan Wang, Yong Jae Lee
2023 J jnl
A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance.
CoRR
Zeyi Huang, Andy Zhou, Zijian Lin, Mu Cai, Haohan Wang, Yong Jae Lee
2023 A* conf
Adaptive Test-Time Personalization for Federated Learning.
NeurIPS
Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He
2023 J jnl
Adaptive Test-Time Personalization for Federated Learning.
CoRR
Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He
2023 J jnl
BadLabel: A Robust Perspective on Evaluating and Enhancing Label-noise Learning.
CoRR
Jingfeng Zhang, Bo Song, Haohan Wang, Bo Han, Tongliang Liu, Lei Liu, Masashi Sugiyama
2023 J jnl
Beyond Pixels: Exploring Human-Readable SVG Generation for Simple Images with Vision Language Models.
CoRR
Tong Zhang, Haoyang Liu, Peiyan Zhang, Yuxuan Cheng, Haohan Wang
2023 A* conf
Calibrated Teacher for Sparsely Annotated Object Detection.
AAAI
Haohan Wang, Liang Liu, Boshen Zhang, Jiangning Zhang, Wuhao Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang
2023 J jnl
Calibrated Teacher for Sparsely Annotated Object Detection.
CoRR
Haohan Wang, Liang Liu, Boshen Zhang, Jiangning Zhang, Wuhao Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang
2023 J jnl
Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain Generalization.
CoRR
Jixuan Leng, Yijiang Li, Haohan Wang
2023 J jnl
Dataset Distillation via the Wasserstein Metric.
CoRR
Haoyang Liu, Tiancheng Xing, Luwei Li, Vibhu Dalal, Jingrui He, Haohan Wang
2023 A* conf
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models.
NeurIPS
Andy Zhou, Jindong Wang, Yu-Xiong Wang, Haohan Wang
2023 J jnl
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models.
CoRR
Andy Zhou, Jindong Wang, Yu-Xiong Wang, Haohan Wang
2023 J jnl
Efficient Few-Shot Classification via Contrastive Pretraining on Web Data.
IEEE Trans. Artif. Intell.
Zhuoling Li, Haohan Wang, Tymoteusz Swistek, En Yu, Haoqian Wang
2023 A conf
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network.
WSDM
Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim
2023 J jnl
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models.
CoRR
Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang
2023 J jnl
Generate E-commerce Product Background by Integrating Category Commonality and Personalized Style.
CoRR
Haohan Wang, Wei Feng, Yang Lu, Yaoyu Li, Zheng Zhang, Jingjing Lv, Xin Zhu, Junjie Shen, Zhangang Lin, Lixing Bo, Jingping Shao
2023 J jnl
Iterative Few-shot Semantic Segmentation from Image Label Text.
CoRR
Haohan Wang, Liang Liu, Wuhao Zhang, Jiangning Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang
2023 J jnl
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models.
CoRR
Andy Zhou, Kai Yan, Michal Shlapentokh-Rothman, Haohan Wang, Yu-Xiong Wang
2023 J jnl
Leveraging Large Language Models for Scalable Vector Graphics-Driven Image Understanding.
CoRR
Mu Cai, Zeyi Huang, Yuheng Li, Haohan Wang, Yong Jae Lee
2023 A* conf
Optimizing the Collaboration Structure in Cross-Silo Federated Learning.
ICML
Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He
2023 J jnl
Optimizing the Collaboration Structure in Cross-Silo Federated Learning.
CoRR
Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He
2023 B conf
Self-learning for Annotating Website Privacy Policies at Scale.
COMPSAC
Shufan Ming, Haohan Wang
2023 A* conf
Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection.
AAAI
Kun Xiang, Xing Zhang, Jinwen She, Jinpeng Liu, Haohan Wang, Shiqi Deng, Shancheng Jiang
2023 J jnl
Towards Trustworthy and Aligned Machine Learning: A Data-centric Survey with Causality Perspectives.
CoRR
Haoyang Liu, Maheep Chaudhary, Haohan Wang
2023 — conf
Trustworthy Computing for Biomedical Challenges.
ICHI
Haohan Wang
2023 A* conf
Trustworthy Machine Learning: Robustness, Generalization, and Interpretability.
KDD
Jindong Wang, Haoliang Li, Haohan Wang, Sinno Jialin Pan, Xing Xie
2023 J jnl
Understanding Adversarial Transferability in Federated Learning.
CoRR
Yijiang Li, Ying Gao, Haohan Wang
2023 J jnl
ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning.
CoRR
Wang Lu, Hao Yu, Jindong Wang, Damien Teney, Haohan Wang, Yiqiang Chen, Qiang Yang, Xing Xie, Xiangyang Ji
2022 J jnl
A Principled Evaluation Protocol for Comparative Investigation of the Effectiveness of DNN Classification Models on Similar-but-non-identical Datasets.
CoRR
Esla Timothy Anzaku, Haohan Wang, Arnout Van Messem, Wesley De Neve
2022 J jnl
Bear the Query in Mind: Visual Grounding with Query-conditioned Convolution.
CoRR
Chonghan Chen, Qi Jiang, Chih-Hao Wang, Noel Chen, Haohan Wang, Xiang Li, Bhiksha Raj
2022 J jnl
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network.
CoRR
Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim
2022 J jnl
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding.
CoRR
Minh-Long Luu, Zeyi Huang, Eric P. Xing, Yong Jae Lee, Haohan Wang
2022 J jnl
Few-Shot Steel Surface Defect Detection.
IEEE Trans. Instrum. Meas.
Haohan Wang, Zhuoling Li, Haoqian Wang
2022 B conf
Gene Set Priorization Guided by Regulatory Networks with p-values through Kernel Mixed Model.
RECOMB
Haohan Wang, Oscar L. Lopez, Wei Wu, Eric P. Xing
2022 A* conf
Iterative Few-shot Semantic Segmentation from Image Label Text.
IJCAI
Haohan Wang, Liang Liu, Wuhao Zhang, Jiangning Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang
2022 J jnl
Kernel Mixed Model for Transcriptome Association Study.
J. Comput. Biol.
Haohan Wang, Oscar Lopez, Eric P. Xing, Wei Wu
2022 J jnl
MRCLens: an MRC Dataset Bias Detection Toolkit.
CoRR
Yifan Zhong, Haohan Wang, Eric P. Xing
2022 — conf
Measure and Improve Robustness in NLP Models: A Survey.
NAACL-HLT
Xuezhi Wang, Haohan Wang, Diyi Yang
2022 J jnl
Robustar: Interactive Toolbox Supporting Precise Data Annotation for Robust Vision Learning.
CoRR
Chonghan Chen, Haohan Wang, Leyang Hu, Yuhao Zhang, Shuguang Lyu, Jingcheng Wu, Xinnuo Li, Linjing Sun, Eric P. Xing
2022 A* conf
The Two Dimensions of Worst-case Training and Their Integrated Effect for Out-of-domain Generalization.
CVPR
Zeyi Huang, Haohan Wang, Dong Huang, Yong Jae Lee, Eric P. Xing
2022 J jnl
The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization.
CoRR
Zeyi Huang, Haohan Wang, Dong Huang, Yong Jae Lee, Eric P. Xing
2022 A* conf
Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation.
KDD
Haohan Wang, Zeyi Huang, Xindi Wu, Eric P. Xing
2022 J jnl
Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation.
CoRR
Haohan Wang, Zeyi Huang, Xindi Wu, Eric P. Xing
2022 J jnl
Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection.
CoRR
Kun Xiang, Xing Zhang, Jinwen She, Jinpeng Liu, Haohan Wang, Shiqi Deng, Shancheng Jiang
2022 A conf
Toward learning human-aligned cross-domain robust models by countering misaligned features.
UAI
Haohan Wang, Zeyi Huang, Hanlin Zhang, Yong Jae Lee, Eric P. Xing
2022 J jnl
Trade-offs of Linear Mixed Models in Genome-Wide Association Studies.
J. Comput. Biol.
Haohan Wang, Bryon Aragam, Eric P. Xing
2021 J jnl
Active Learning to Classify Macromolecular Structures in situ for Less Supervision in Cryo-Electron Tomography.
CoRR
Xuefeng Du, Haohan Wang, Zhenxi Zhu, Xiangrui Zeng, Yi-Wei Chang, Jing Zhang, Eric Poe Xing, Min Xu
2021 J jnl
Active learning to classify macromolecular structures in situ for less supervision in cryo-electron tomography.
Bioinform.
Xuefeng Du, Haohan Wang, Zhenxi Zhu, Xiangrui Zeng, Yi-Wei Chang, Jing Zhang, Eric P. Xing, Min Xu
2021 J jnl
Coupled mixed model for joint genetic analysis of complex disorders with two independently collected data sets.
BMC Bioinform.
Haohan Wang, Fen Pei, Michael M. Vanyukov, Ivet Bahar, Wei Wu, Eric P. Xing
2021 J jnl
Enabling the Network to Surf the Internet.
CoRR
Zhuoling Li, Haohan Wang, Tymoteusz Swistek, Weixin Chen, Yuanzheng Li, Haoqian Wang
2021 J jnl
Measure and Improve Robustness in NLP Models: A Survey.
CoRR
Xuezhi Wang, Haohan Wang, Diyi Yang
2021 A* conf
Robust Contrastive Learning Using Negative Samples with Diminished Semantics.
NeurIPS
Songwei Ge, Shlok Mishra, Chun-Liang Li, Haohan Wang, David Jacobs
2021 J jnl
Robust Contrastive Learning Using Negative Samples with Diminished Semantics.
CoRR
Songwei Ge, Shlok Mishra, Haohan Wang, Chun-Liang Li, David Jacobs
2021 J jnl
Supervised Adversarial Alignment of Single-Cell RNA-seq Data.
J. Comput. Biol.
Songwei Ge, Haohan Wang, Amir Alavi, Eric P. Xing, Ziv Bar-Joseph
2021 J jnl
Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned Features.
CoRR
Haohan Wang, Zeyi Huang, Hanlin Zhang, Eric Poe Xing
2021 J jnl
Tradeoffs of Linear Mixed Models in Genome-wide Association Studies.
CoRR
Haohan Wang, Bryon Aragam, Eric P. Xing
2020 A* conf
High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks.
CVPR
Haohan Wang, Xindi Wu, Zeyi Huang, Eric P. Xing
2020 J jnl
Poly(A)-DG: A deep-learning-based domain generalization method to identify cross-species Poly(A) signal without prior knowledge from target species.
PLoS Comput. Biol.
Yumin Zheng, Haohan Wang, Yang Zhang, Xin Gao, Eric P. Xing, Min Xu
2020 J jnl
Self-Challenging Improves Cross-Domain Generalization.
CoRR
Zeyi Huang, Haohan Wang, Eric P. Xing, Dong Huang
2020 — conf
Self-challenging Improves Cross-Domain Generalization.
ECCV (2)
Zeyi Huang, Haohan Wang, Eric P. Xing, Dong Huang
2020 J jnl
Squared 𝓁
CoRR
Haohan Wang, Zeyi Huang, Xindi Wu, Eric P. Xing
2020 B conf
Supervised Adversarial Alignment of Single-Cell RNA-seq Data.
RECOMB
Songwei Ge, Haohan Wang, Amir Alavi, Eric P. Xing, Ziv Bar-Joseph
2020 J jnl
Word Shape Matters: Robust Machine Translation with Visual Embedding.
CoRR
Haohan Wang, Peiyan Zhang, Eric P. Xing
2019 J jnl
Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization.
IEEE Trans. Intell. Transp. Syst.
Ming Xu, Jianping Wu, Haohan Wang, Mengxin Cao
2019 Misc conf
Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning.
PSB
Haohan Wang, Xiang Liu, Yifeng Tao, Wenting Ye, Qiao Jin, William W. Cohen, Eric P. Xing
2019 — conf
Deep Inductive Matrix Completion for Biomedical Interaction Prediction.
BIBM
Haohan Wang, Yibing Wei, Mengxin Cao, Ming Xu, Wei Wu, Eric P. Xing
2019 J jnl
Deep mixed model for marginal epistasis detection and population stratification correction in genome-wide association studies.
BMC Bioinform.
Haohan Wang, Tianwei Yue, Jingkang Yang, Wei Wu, Eric P. Xing
2019 J jnl
Discovery of Critical Nodes in Road Networks Through Mining From Vehicle Trajectories.
IEEE Trans. Intell. Transp. Syst.
Ming Xu, Jianping Wu, Mengqi Liu, Yunpeng Xiao, Haohan Wang, Dongmei Hu
2019 — conf
Graph-structured Sparse Mixed Models for Genetic Association with Confounding Factors Correction.
BIBM
Haohan Wang, Changpeng Lu, Wei Wu, Eric P. Xing
2019 J jnl
High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks.
CoRR
Haohan Wang, Xindi Wu, Pengcheng Yin, Eric P. Xing
2019 A* conf
Learning Robust Global Representations by Penalizing Local Predictive Power.
NeurIPS
Haohan Wang, Songwei Ge, Zachary C. Lipton, Eric P. Xing
2019 J jnl
Learning Robust Global Representations by Penalizing Local Predictive Power.
CoRR
Haohan Wang, Songwei Ge, Eric P. Xing, Zachary C. Lipton
2019 — conf
Learning Robust Representations by Projecting Superficial Statistics Out.
ICLR
Haohan Wang, Zexue He, Zachary C. Lipton, Eric P. Xing
2019 J jnl
Learning Robust Representations by Projecting Superficial Statistics Out.
CoRR
Haohan Wang, Zexue He, Zachary C. Lipton, Eric P. Xing
2019 J jnl
Precision Lasso: accounting for correlations and linear dependencies in high-dimensional genomic data.
Bioinform.
Haohan Wang, Benjamin J. Lengerich, Bryon Aragam, Eric P. Xing
2019 — conf
Regularized Adversarial Training (RAT) for Robust Cellular Electron Cryo Tomograms Classification.
BIBM
Xindi Wu, Yijun Mao, Haohan Wang, Xiangrui Zeng, Xin Gao, Eric P. Xing, Min Xu
2019 Misc conf
Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications.
PSB
Haohan Wang, Zhenglin Wu, Eric P. Xing
2019 — conf
Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual.
DeepLo@EMNLP-IJCNLP
He He, Sheng Zha, Haohan Wang
2019 J jnl
Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual.
CoRR
He He, Sheng Zha, Haohan Wang
2019 A* conf
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
Haohan Wang, Da Sun, Eric P. Xing
2018 J jnl
3-HBP: A Three-Level Hidden Bayesian Link Prediction Model in Social Networks.
IEEE Trans. Comput. Soc. Syst.
Yunpeng Xiao, Xixi Li, Haohan Wang, Ming Xu, Yanbing Liu
2018 J jnl
Deep Learning for Genomics: A Concise Overview.
CoRR
Tianwei Yue, Haohan Wang
2018 J jnl
Fair Deep Learning Prediction for Healthcare Applications with Confounder Filtering.
CoRR
Zhenglin Wu, Haohan Wang, Mingze Cao, Yin Chen, Eric P. Xing
2018 — conf
GLDA-FP: Gaussian LDA Model for Forward Prediction.
BigData Congress
Yunpeng Xiao, Liangyun Liu, Ming Xu, Haohan Wang, Yanbing Liu
2018 — conf
Heterogeneous Hi-C Data Super-resolution with a Conditional Generative Adversarial Network.
BIBM
Yifeng Chen, Wei Sun, Haohan Wang
2018 J jnl
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.
CoRR
Haohan Wang, Da Sun, Eric P. Xing
2017 J jnl
A Sparse Graph-Structured Lasso Mixed Model for Genetic Association with Confounding Correction.
CoRR
Wenting Ye, Xiang Liu, Haohan Wang, Eric P. Xing
2017 J jnl
Extracting compact representation of knowledge from gene expression data for protein-protein interaction.
Int. J. Data Min. Bioinform.
Haohan Wang, Aman Gupta, Ming Xu
2017 — conf
Multiplex confounding factor correction for genomic association mapping with squared sparse linear mixed model.
BIBM
Haohan Wang, Xiang Liu, Yunpeng Xiao, Ming Xu, Eric P. Xing
2017 J jnl
On the Origin of Deep Learning.
CoRR
Haohan Wang, Bhiksha Raj, Eric P. Xing
2017 A conf
Select-additive learning: Improving generalization in multimodal sentiment analysis.
ICME
Haohan Wang, Aaksha Meghawat, Louis-Philippe Morency, Eric P. Xing
2017 — conf
Variable selection in heterogeneous datasets: A truncated-rank sparse linear mixed model with applications to genome-wide association studies.
BIBM
Haohan Wang, Bryon Aragam, Eric P. Xing
2016 — conf
Multiple confounders correction with regularized linear mixed effect models, with application in biological processes.
BIBM
Haohan Wang, Jingkang Yang
2016 J jnl
SeDMiD for Confusion Detection: Uncovering Mind State from Time Series Brain Wave Data.
CoRR
Jingkang Yang, Haohan Wang, Jun Zhu, Eric P. Xing
2016 J jnl
Select-Additive Learning: Improving Cross-individual Generalization in Multimodal Sentiment Analysis.
CoRR
Haohan Wang, Aaksha Meghawat, Louis-Philippe Morency, Eric P. Xing
2015 J jnl
A Survey: Time Travel in Deep Learning Space: An Introduction to Deep Learning Models and How Deep Learning Models Evolved from the Initial Ideas.
CoRR
Haohan Wang, Bhiksha Raj
2015 J jnl
Evaluating Protein-protein Interaction Predictors with a Novel 3-Dimensional Metric.
CoRR
Haohan Wang, Madhavi K. Ganapathiraju
2015 J jnl
Evaluation of Protein-protein Interaction Predictors with Noisy Partially Labeled Data Sets.
CoRR
Haohan Wang, Madhavi K. Ganapathiraju
2015 — conf
Learning structure in gene expression data using deep architectures, with an application to gene clustering.
BIBM
Aman Gupta, Haohan Wang, Madhavi K. Ganapathiraju
2014 J jnl
Discovery of Important Crossroads in Road Network using Massive Taxi Trajectories.
CoRR
Ming Xu, Jianping Wu, Yiman Du, Haohan Wang, Geqi Qi, Kezhen Hu, Yunpeng Xiao
2014 J jnl
Multimodal Transfer Deep Learning for Audio Visual Recognition.
CoRR
Seungwhan Moon, Suyoun Kim, Haohan Wang
2013 — conf
Behavior analysis of low-literate users of a viral speech-based telephone service.
ACM DEV (4)
Haohan Wang, Agha Ali Raza, Yibin Lin, Roni Rosenfeld
2013 — conf
Using EEG to Improve Massive Open Online Courses Feedback Interaction.
AIED Workshops
Haohan Wang, Yiwei Li, Xiaobo Hu, Yucong Yang, Zhu Meng, Kai-min Chang