Haohan Wang

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 116

Top Venues

Publications

Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models. ICLR (2024)
Haibo Jin, Leyang Hu, Xinuo Li, Peiyan Zhang, Chonghan Chen, Jun Zhuang, Haohan Wang
JailbreakZoo: Survey, Landscapes, and Horizons in Jailbreaking Large Language and Vision-Language Models. CoRR (2024)
Lei Chu, Haohan Wang, Andreas F. Molisch
Model-Agnostic Channel Prediction with Meta Predictive Recurrent Neural Networks. ICC Workshops (2024)
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
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas. CoRR (2024)
Bin Li, Zongyong Cui, Haohan Wang, Yijie Deng, Jizhen Ma, Jianyu Yang, Zongjie Cao
SAR Incremental Automatic Target Recognition Based on Mutual Information Maximization. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
Xinyan Zhang, Haohan Wang
User Preferences for Icon Design Styles and Their Associations with Personality and Demographic. HCI (56) (2024)
Yihan Zhang, Xuanshuo Zhang, Wei Wu, Haohan Wang
Quantitative Evaluation of the Saliency Map for Alzheimer's Disease Classifier with Anatomical Segmentation. CoRR (2024)
Haoyang Liu, Haohan Wang
GenoTEX: A Benchmark for Evaluating LLM-Based Exploration of Gene Expression Data in Alignment with Bioinformaticians. CoRR (2024)
Haoyang Liu, Yijiang Li, Jinglin Jian, Yuxuan Cheng, Jianrong Lu, Shuyi Guo, Jinglei Zhu, Mianchen Zhang, Miantong Zhang, Haohan Wang
Toward a Team of AI-made Scientists for Scientific Discovery from Gene Expression Data. CoRR (2024)
Haibo Jin, Ruoxi Chen, Andy Zhou, Jinyin Chen, Yang Zhang, Haohan Wang
GUARD: Role-playing to Generate Natural-language Jailbreakings to Test Guideline Adherence of Large Language Models. CoRR (2024)
Pengzhi Li, Yikang Ding, Haohan Wang, Chengshuai Tang, Zhiheng Li
The Devil is in the Edges: Monocular Depth Estimation with Edge-aware Consistency Fusion. CoRR (2024)
Eric Xue, Yijiang Li, Haoyang Liu, Yifan Shen, Haohan Wang
Towards Adversarially Robust Dataset Distillation by Curvature Regularization. CoRR (2024)
Jixuan Leng, Yijiang Li, Haohan Wang
Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain Generalization. Trans. Mach. Learn. Res. 2024 (2024)
Haoyang Liu, Aditya Singh, Yijiang Li, Haohan Wang
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers. CoRR (2024)
Wei Jin, Haohan Wang, Daochen Zha, Qiaoyu Tan, Yao Ma, Sharon Li, Su-In Lee
DCAI: Data-centric Artificial Intelligence. WWW (Companion Volume) (2024)
Haibo Jin, Andy Zhou, Joe D. Menke, Haohan Wang
Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters. CoRR (2024)
Andy Zhou, Bo Li, Haohan Wang
Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks. CoRR (2024)
Yijiang Li, Sucheng Ren, Weipeng Deng, Yuzhi Xu, Ying Gao, Edith C. H. Ngai, Haohan Wang
Beyond Finite Data: Towards Data-free Out-of-distribution Generalization via Extrapolation. CoRR (2024)
Yifeng Wang, Ke Chen, Yihan Zhang, Haohan Wang
MedTransformer: Accurate AD Diagnosis for 3D MRI Images through 2D Vision Transformers. CoRR (2024)
Yifeng Wang, Weipeng Li, Thomas Pearce, Haohan Wang
From Tissue Plane to Organ World: A Benchmark Dataset for Multimodal Biomedical Image Registration using Deep Co-Attention Networks. CoRR (2024)
Jingfeng Zhang, Bo Song, Haohan Wang, Bo Han, Tongliang Liu, Lei Liu, Masashi Sugiyama
BadLabel: A Robust Perspective on Evaluating and Enhancing Label-Noise Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46 (6) (2024)
Haohan Wang, Wei Feng, Yang Lu, Yaoyu Li, Zheng Zhang, Jingjing Lv, Xin Zhu, Junjie Shen, Zhangang Lin, Lixing Bo, Jingping Shao
Generate E-commerce Product Background by Integrating Category Commonality and Personalized Style. CoRR (2023)
Zeyi Huang, Andy Zhou, Zijian Lin, Mu Cai, Haohan Wang, Yong Jae Lee
A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance. ICCV (2023)
Kun Xiang, Xing Zhang, Jinwen She, Jinpeng Liu, Haohan Wang, Shiqi Deng, Shancheng Jiang
Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection. AAAI (2023)
Jingfeng Zhang, Bo Song, Haohan Wang, Bo Han, Tongliang Liu, Lei Liu, Masashi Sugiyama
BadLabel: A Robust Perspective on Evaluating and Enhancing Label-noise Learning. CoRR (2023)
Haohan Wang, Liang Liu, Boshen Zhang, Jiangning Zhang, Wuhao Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang
Calibrated Teacher for Sparsely Annotated Object Detection. AAAI (2023)
Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network. WSDM (2023)
Yijiang Li, Ying Gao, Haohan Wang
Understanding Adversarial Transferability in Federated Learning. CoRR (2023)
Haoyang Liu, Maheep Chaudhary, Haohan Wang
Towards Trustworthy and Aligned Machine Learning: A Data-centric Survey with Causality Perspectives. CoRR (2023)
Zeyi Huang, Andy Zhou, Zijian Lin, Mu Cai, Haohan Wang, Yong Jae Lee
A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance. CoRR (2023)
Haohan Wang, Liang Liu, Wuhao Zhang, Jiangning Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang
Iterative Few-shot Semantic Segmentation from Image Label Text. CoRR (2023)
Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He
Optimizing the Collaboration Structure in Cross-Silo Federated Learning. ICML (2023)
Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models. CoRR (2023)
Zhuoling Li, Haohan Wang, Tymoteusz Swistek, En Yu, Haoqian Wang
Efficient Few-Shot Classification via Contrastive Pretraining on Web Data. IEEE Trans. Artif. Intell. 4 (3) (2023)
Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He
Adaptive Test-Time Personalization for Federated Learning. CoRR (2023)
Jixuan Leng, Yijiang Li, Haohan Wang
Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain Generalization. CoRR (2023)
Andy Zhou, Jindong Wang, Yu-Xiong Wang, Haohan Wang
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models. NeurIPS (2023)
Haohan Wang, Liang Liu, Boshen Zhang, Jiangning Zhang, Wuhao Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang
Calibrated Teacher for Sparsely Annotated Object Detection. CoRR (2023)
Tong Zhang, Haoyang Liu, Peiyan Zhang, Yuxuan Cheng, Haohan Wang
Beyond Pixels: Exploring Human-Readable SVG Generation for Simple Images with Vision Language Models. CoRR (2023)
Andy Zhou, Kai Yan, Michal Shlapentokh-Rothman, Haohan Wang, Yu-Xiong Wang
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models. CoRR (2023)
Andy Zhou, Jindong Wang, Yu-Xiong Wang, Haohan Wang
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models. CoRR (2023)
Wang Lu, Hao Yu, Jindong Wang, Damien Teney, Haohan Wang, Yiqiang Chen, Qiang Yang, Xing Xie, Xiangyang Ji
ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning. CoRR (2023)
Mu Cai, Zeyi Huang, Yuheng Li, Haohan Wang, Yong Jae Lee
Leveraging Large Language Models for Scalable Vector Graphics-Driven Image Understanding. CoRR (2023)
Haohan Wang
Trustworthy Computing for Biomedical Challenges. ICHI (2023)
Haoyang Liu, Tiancheng Xing, Luwei Li, Vibhu Dalal, Jingrui He, Haohan Wang
Dataset Distillation via the Wasserstein Metric. CoRR (2023)
Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He
Adaptive Test-Time Personalization for Federated Learning. NeurIPS (2023)
Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He
Optimizing the Collaboration Structure in Cross-Silo Federated Learning. CoRR (2023)
Shufan Ming, Haohan Wang
Self-learning for Annotating Website Privacy Policies at Scale. COMPSAC (2023)
Jindong Wang, Haoliang Li, Haohan Wang, Sinno Jialin Pan, Xing Xie
Trustworthy Machine Learning: Robustness, Generalization, and Interpretability. KDD (2023)
Haohan Wang, Zeyi Huang, Xindi Wu, Eric P. Xing
Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation. CoRR (2022)
Yifan Zhong, Haohan Wang, Eric P. Xing
MRCLens: an MRC Dataset Bias Detection Toolkit. CoRR (2022)
Haohan Wang, Zhuoling Li, Haoqian Wang
Few-Shot Steel Surface Defect Detection. IEEE Trans. Instrum. Meas. 71 (2022)
Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network. CoRR (2022)
Haohan Wang, Liang Liu, Wuhao Zhang, Jiangning Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang
Iterative Few-shot Semantic Segmentation from Image Label Text. IJCAI (2022)
Haohan Wang, Oscar Lopez, Eric P. Xing, Wei Wu
Kernel Mixed Model for Transcriptome Association Study. J. Comput. Biol. 29 (12) (2022)
Xuezhi Wang, Haohan Wang, Diyi Yang
Measure and Improve Robustness in NLP Models: A Survey. NAACL-HLT (2022)
Haohan Wang, Zeyi Huang, Xindi Wu, Eric P. Xing
Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation. KDD (2022)
Esla Timothy Anzaku, Haohan Wang, Arnout Van Messem, Wesley De Neve
A Principled Evaluation Protocol for Comparative Investigation of the Effectiveness of DNN Classification Models on Similar-but-non-identical Datasets. CoRR (2022)
Chonghan Chen, Haohan Wang, Leyang Hu, Yuhao Zhang, Shuguang Lyu, Jingcheng Wu, Xinnuo Li, Linjing Sun, Eric P. Xing
Robustar: Interactive Toolbox Supporting Precise Data Annotation for Robust Vision Learning. CoRR (2022)
Haohan Wang, Bryon Aragam, Eric P. Xing
Trade-offs of Linear Mixed Models in Genome-Wide Association Studies. J. Comput. Biol. 29 (3) (2022)
Minh-Long Luu, Zeyi Huang, Eric P. Xing, Yong Jae Lee, Haohan Wang
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding. CoRR (2022)
Zeyi Huang, Haohan Wang, Dong Huang, Yong Jae Lee, Eric P. Xing
The Two Dimensions of Worst-case Training and Their Integrated Effect for Out-of-domain Generalization. CVPR (2022)
Zeyi Huang, Haohan Wang, Dong Huang, Yong Jae Lee, Eric P. Xing
The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization. CoRR (2022)
Haohan Wang, Oscar L. Lopez, Wei Wu, Eric P. Xing
Gene Set Priorization Guided by Regulatory Networks with p-values through Kernel Mixed Model. RECOMB (2022)
Kun Xiang, Xing Zhang, Jinwen She, Jinpeng Liu, Haohan Wang, Shiqi Deng, Shancheng Jiang
Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection. CoRR (2022)
Chonghan Chen, Qi Jiang, Chih-Hao Wang, Noel Chen, Haohan Wang, Xiang Li, Bhiksha Raj
Bear the Query in Mind: Visual Grounding with Query-conditioned Convolution. CoRR (2022)
Haohan Wang, Zeyi Huang, Hanlin Zhang, Yong Jae Lee, Eric P. Xing
Toward learning human-aligned cross-domain robust models by countering misaligned features. UAI (2022)
Haohan Wang, Fen Pei, Michael M. Vanyukov, Ivet Bahar, Wei Wu, Eric P. Xing
Coupled mixed model for joint genetic analysis of complex disorders with two independently collected data sets. BMC Bioinform. 22 (1) (2021)
Xuefeng Du, Haohan Wang, Zhenxi Zhu, Xiangrui Zeng, Yi-Wei Chang, Jing Zhang, Eric Po Xing, Min Xu
Active Learning to Classify Macromolecular Structures in situ for Less Supervision in Cryo-Electron Tomography. CoRR (2021)
Songwei Ge, Haohan Wang, Amir Alavi, Eric P. Xing, Ziv Bar-Joseph
Supervised Adversarial Alignment of Single-Cell RNA-seq Data. J. Comput. Biol. 28 (5) (2021)
Haohan Wang, Zeyi Huang, Hanlin Zhang, Eric Po Xing
Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned Features. CoRR (2021)
Songwei Ge, Shlok Mishra, Haohan Wang, Chun-Liang Li, David W. Jacobs
Robust Contrastive Learning Using Negative Samples with Diminished Semantics. CoRR (2021)
Xuefeng Du, Haohan Wang, Zhenxi Zhu, Xiangrui Zeng, Yi-Wei Chang, Jing Zhang, Eric P. Xing, Min Xu
Active learning to classify macromolecular structures in situ for less supervision in cryo-electron tomography. Bioinform. 37 (16) (2021)
Xuezhi Wang, Haohan Wang, Diyi Yang
Measure and Improve Robustness in NLP Models: A Survey. CoRR (2021)
Haohan Wang, Bryon Aragam, Eric P. Xing
Tradeoffs of Linear Mixed Models in Genome-wide Association Studies. CoRR (2021)
Songwei Ge, Shlok Mishra, Chun-Liang Li, Haohan Wang, David Jacobs
Robust Contrastive Learning Using Negative Samples with Diminished Semantics. NeurIPS (2021)
Zhuoling Li, Haohan Wang, Tymoteusz Swistek, Weixin Chen, Yuanzheng Li, Haoqian Wang
Enabling the Network to Surf the Internet. CoRR (2021)
Haohan Wang, Zeyi Huang, Xindi Wu, Eric P. Xing
Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations. CoRR (2020)
Songwei Ge, Haohan Wang, Amir Alavi, Eric P. Xing, Ziv Bar-Joseph
Supervised Adversarial Alignment of Single-Cell RNA-seq Data. RECOMB (2020)
Haohan Wang, Xindi Wu, Zeyi Huang, Eric P. Xing
High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks. CVPR (2020)
Zeyi Huang, Haohan Wang, Eric P. Xing, Dong Huang
Self-Challenging Improves Cross-Domain Generalization. CoRR (2020)
Haohan Wang, Peiyan Zhang, Eric P. Xing
Word Shape Matters: Robust Machine Translation with Visual Embedding. CoRR (2020)
Zeyi Huang, Haohan Wang, Eric P. Xing, Dong Huang
Self-challenging Improves Cross-Domain Generalization. ECCV (2) (2020)
Yumin Zheng, Haohan Wang, Yang Zhang, Xin Gao, Eric P. Xing, Min Xu
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. 16 (11) (2020)
Haohan Wang, Tianwei Yue, Jingkang Yang, Wei Wu, Eric P. Xing
Deep mixed model for marginal epistasis detection and population stratification correction in genome-wide association studies. BMC Bioinform. (23) (2019)
Ming Xu, Jianping Wu, Haohan Wang, Mengxin Cao
Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization. IEEE Trans. Intell. Transp. Syst. 20 (12) (2019)
Xindi Wu, Yijun Mao, Haohan Wang, Xiangrui Zeng, Xin Gao, Eric P. Xing, Min Xu
Regularized Adversarial Training (RAT) for Robust Cellular Electron Cryo Tomograms Classification. BIBM (2019)
Haohan Wang, Benjamin J. Lengerich, Bryon Aragam, Eric P. Xing
Precision Lasso: accounting for correlations and linear dependencies in high-dimensional genomic data. Bioinform. 35 (7) (2019)
Haohan Wang, Yibing Wei, Mengxin Cao, Ming Xu, Wei Wu, Eric P. Xing
Deep Inductive Matrix Completion for Biomedical Interaction Prediction. BIBM (2019)
Haohan Wang, Songwei Ge, Eric P. Xing, Zachary C. Lipton
Learning Robust Global Representations by Penalizing Local Predictive Power. CoRR (2019)
Haohan Wang, Zhenglin Wu, Eric P. Xing
Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications. PSB (2019)
Haohan Wang, Xiang Liu, Yifeng Tao, Wenting Ye, Qiao Jin, William W. Cohen, Eric P. Xing
Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning. PSB (2019)
Ming Xu, Jianping Wu, Mengqi Liu, Yunpeng Xiao, Haohan Wang, Dongmei Hu
Discovery of Critical Nodes in Road Networks Through Mining From Vehicle Trajectories. IEEE Trans. Intell. Transp. Syst. 20 (2) (2019)
Haohan Wang, Changpeng Lu, Wei Wu, Eric P. Xing
Graph-structured Sparse Mixed Models for Genetic Association with Confounding Factors Correction. BIBM (2019)
He He, Sheng Zha, Haohan Wang
Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual. CoRR (2019)
Haohan Wang, Xindi Wu, Pengcheng Yin, Eric P. Xing
High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks. CoRR (2019)
Haohan Wang, Da Sun, Eric P. Xing
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)
He He, Sheng Zha, Haohan Wang
Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual. DeepLo@EMNLP-IJCNLP (2019)
Haohan Wang, Songwei Ge, Zachary C. Lipton, Eric P. Xing
Learning Robust Global Representations by Penalizing Local Predictive Power. NeurIPS (2019)
Haohan Wang, Zexue He, Zachary C. Lipton, Eric P. Xing
Learning Robust Representations by Projecting Superficial Statistics Out. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Haohan Wang