Haohan Wang

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All published works

Action	Title	Year	Authors
+ PDF Chat	Examining Alignment of Large Language Models through Representative Heuristics: The Case of Political Stereotypes	2025	Sullam Jeoung Yubin Ge Haohan Wang Jana Diesner
+ PDF Chat	MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification	2024	Siddhant Bikram Shah Shuvam Shiwakoti Maheep Chaudhary Haohan Wang
+ PDF Chat	Towards Reliable Advertising Image Generation Using Human Feedback	2024	Zhenbang Du Wei Feng Haohan Wang Yaoyu Li Jingsen Wang Jian Li Zheng Zhang Jingjing Lv Xin Zhu Junsheng Jin
+ PDF Chat	From Tissue Plane to Organ World: A Benchmark Dataset for Multimodal Biomedical Image Registration using Deep Co-Attention Networks	2024	Yifeng Wang Weipeng Li Thomas Pearce Haohan Wang
+ PDF Chat	The Devil is in the Edges: Monocular Depth Estimation with Edge-aware Consistency Fusion	2024	Pengzhi Li Yikang Ding Haohan Wang Chengshuai Tang Zhiheng Li
+ PDF Chat	Beyond Finite Data: Towards Data-free Out-of-distribution Generalization via Extrapolation	2024	Yijiang Li Sucheng Ren Weipeng Deng Yuzhi Xu Ying Gao Edith C.‐H. Ngai Haohan Wang
+ PDF Chat	Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks	2024	Andy Zhou Bo Li Haohan Wang
+ PDF Chat	Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection	2023	Kun Xiang Xing Zhang Jinwen She Jinpeng Liu Haohan Wang Shiqi Deng Shancheng Jiang
+ PDF Chat	Calibrated Teacher for Sparsely Annotated Object Detection	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	2023	Haohan Wang Liang Liu Boshen Zhang Jiangning Zhang Wuhao Zhang Zhenye Gan Yabiao Wang Chengjie Wang Haoqian Wang
+	Leveraging Large Language Models for Scalable Vector Graphics-Driven Image Understanding	2023	Mu Cai Zeyi Huang Yuheng Li Haohan Wang Yong Jae Lee
+	Optimizing the Collaboration Structure in Cross-Silo Federated Learning	2023	Wenxuan Bao Haohan Wang Jun Wu Jingrui He
+	Towards Trustworthy and Aligned Machine Learning: A Data-centric Survey with Causality Perspectives	2023	Haoyang Liu Maheep Chaudhary Haohan Wang
+	A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance	2023	Zeyi Huang Andy Zhou Zijian Lin Mu Cai Haohan Wang Yong Jae Lee
+	Adaptive Test-Time Personalization for Federated Learning	2023	Wenxuan Bao Tianxin Wei Haohan Wang Jingrui He
+	Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain Generalization	2023	Jixuan Leng Yijiang Li Haohan Wang
+	Generate E-commerce Product Background by Integrating Category Commonality and Personalized Style	2023	Haohan Wang Feng Wei Yang Lu Yaoyu Li Zheng Zhang Jingjing Lv Xin Zhu Junjie Shen Zhangang Lin Lixing Bo
+ PDF Chat	Iterative Few-shot Semantic Segmentation from Image Label Text	2022	Haohan Wang Liang Liu Wuhao Zhang Jiangning Zhang Zhenye Gan Yabiao Wang Shuo Wang Haoqian Wang
+	Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation	2022	Haohan Wang Zeyi Huang Xindi Wu Eric P. Xing
+	Bear the Query in Mind: Visual Grounding with Query-conditioned Convolution	2022	Chonghan Chen Qing Jiang Chih‐Hao Wang Noel Chen Haohan Wang Xiang Li Bhiksha Raj
+	Enabling the Network to Surf the Internet	2021	Zhuoling Li Haohan Wang Tymoteusz Świstek Weixin Chen Yuanzheng Li Haoqian Wang
+	Robust Contrastive Learning Using Negative Samples with Diminished Semantics	2021	Songwei Ge Shlok Mishra Haohan Wang Chun‐Liang Li David Jacobs
+	Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned Features	2021	Haohan Wang Zeyi Huang Hanlin Zhang Eric P. Xing
+	Squared 𝓁 2 Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations.	2020	Haohan Wang Zeyi Huang Xindi Wu Eric P. Xing
+ PDF Chat	High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks	2020	Haohan Wang Xindi Wu Zeyi Huang Eric P. Xing
+ PDF Chat	Self-challenging Improves Cross-Domain Generalization	2020	Zeyi Huang Haohan Wang Eric P. Xing Dong Huang
+	Word Shape Matters: Robust Machine Translation with Visual Embedding	2020	Haohan Wang Peiyan Zhang Eric P. Xing
+	Self-Challenging Improves Cross-Domain Generalization	2020	Zeyi Huang Haohan Wang Eric P. Xing Dong Huang
+	Squared $\ell_2$ Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations	2020	Haohan Wang Zeyi Huang Xindi Wu Eric P. Xing
+	Learning Robust Global Representations by Penalizing Local Predictive Power	2019	Haohan Wang Songwei Ge Eric P. Xing Zachary C. Lipton
+	Learning Robust Representations by Projecting Superficial Statistics Out	2019	Haohan Wang Zexue He Zachary C. Lipton Eric P. Xing
+ PDF Chat	Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual	2019	He He Sheng Zha Haohan Wang
+	Select-Additive Learning: Improving Cross-individual Generalization in Multimodal Sentiment Analysis.	2016	Haohan Wang Aaksha Meghawat Louis‐Philippe Morency Eric P. Xing
+	SeDMiD for Confusion Detection: Uncovering Mind State from Time Series Brain Wave Data	2016	Jingkang Yang Haohan Wang Jun Zhu Eric P. Xing

Common Coauthors

Coauthor	Papers Together
Eric P. Xing	12
Zeyi Huang	9
Haoqian Wang	4
Jiangning Zhang	3
Yabiao Wang	3
Jingping Shao	2
Yijiang Li	2
Zhangang Lin	2
Zhenye Gan	2
Maheep Chaudhary	2
Songwei Ge	2
Andy Zhou	2
Xindi Wu	2
Chengjie Wang	2
Zachary C. Lipton	2
Wuhao Zhang	2
Boshen Zhang	2
Dong Huang	2
Jingrui He	2
Mu Cai	2
Liang Liu	2
Junjie Shen	2
Wenxuan Bao	2
Xin Zhu	2
Xindi Wu	2
Thomas Pearce	1
Jinwen She	1
Siddhant Bikram Shah	1
Yuzhi Xu	1
Sullam Jeoung	1
Aaksha Meghawat	1
David Jacobs	1
Bo Li	1
Kun Xiang	1
Chih‐Hao Wang	1
Chonghan Chen	1
Xing Zhang	1
Sucheng Ren	1
Yaoyu Li	1
Jingsen Wang	1
Yifeng Wang	1
Noel Chen	1
Zexue He	1
Zijian Lin	1
Yaoyu Li	1
Peiyan Zhang	1
Zhenye Gan	1
Jingkang Yang	1
Jingjing Lv	1
Edith C.-H. Ngai	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness	2018	Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix A. Wichmann Wieland Brendel	5
+	Measuring the tendency of CNNs to Learn Surface Statistical Regularities	2017	Jason Jo Yoshua Bengio	5
+ PDF Chat	High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks	2020	Haohan Wang Xindi Wu Zeyi Huang Eric P. Xing	5
+ PDF Chat	Domain-Adversarial Training of Neural Networks	2017	Yaroslav Ganin Evgeniya Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette Mario Marchand Victor Lempitsky	4
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+	Learning Robust Global Representations by Penalizing Local Predictive Power	2019	Haohan Wang Songwei Ge Eric P. Xing Zachary C. Lipton	4
+ PDF Chat	Domain Generalization for Object Recognition with Multi-task Autoencoders	2015	Muhammad Ghifary W. Bastiaan Kleijn Mengjie Zhang David Balduzzi	3
+ PDF Chat	Domain Generalization by Solving Jigsaw Puzzles	2019	Fabio Maria Carlucci Antonio D’Innocente Silvia Bucci Barbara Caputo Tatiana Tommasi	3
+ PDF Chat	Information Dropout: Learning Optimal Representations Through Noisy Computation	2018	Alessandro Achille Stefano Soatto	3
+ PDF Chat	Deep visual domain adaptation: A survey	2018	Mei Wang Weihong Deng	3
+	Towards Deep Learning Models Resistant to Adversarial Attacks.	2018	Aleksander Mądry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu	3
+ PDF Chat	Select-additive learning: Improving generalization in multimodal sentiment analysis	2017	Haohan Wang Aaksha Meghawat Louis–Philippe Morency Eric P. Xing	3
+	Hallucinating Agnostic Images to Generalize Across Domains	2018	Fabio Maria Carlucci Paolo Russo Tatiana Tommasi Barbara Caputo	3
+	Theoretically Principled Trade-off between Robustness and Accuracy	2019	Hongyang Zhang Yaodong Yu Jiantao Jiao Eric P. Xing Laurent El Ghaoui Michael I. Jordan	3
+	Improved Regularization of Convolutional Neural Networks with Cutout	2017	Terrance DeVries Graham W. Taylor	3
+ PDF Chat	Deeper, Broader and Artier Domain Generalization	2017	Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales	3
+	mixup: Beyond Empirical Risk Minimization	2017	Hongyi Zhang Moustapha Cissé Yann Dauphin David López-Paz	3
+	Domain Adaptation for Visual Applications: A Comprehensive Survey	2017	Gabriela Csurka	3
+	Domain Generalization via Invariant Feature Representation	2013	Krikamol Muandet David Balduzzi Bernhard Sch lkopf	3
+	Does Distributionally Robust Supervised Learning Give Robust Classifiers?	2016	Weihua Hu Gang Niu Issei Sato Masashi Sugiyama	3
+	Benchmarking Neural Network Robustness to Common Corruptions and Perturbations	2019	Dan Hendrycks Thomas G. Dietterich	2
+	Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation	2019	Vladimir Karpukhin Omer Levy Jacob Eisenstein Marjan Ghazvininejad	2
+	Towards Deep Learning Models Resistant to Adversarial Attacks	2017	Aleksander Mądry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu	2
+	Robustness May Be at Odds with Accuracy	2018	Dimitris Tsipras Shibani Santurkar Logan Engstrom Alexander Turner Aleksander Ma̧dry	2
+ PDF Chat	Adversarial Examples in the Physical World	2018	Alexey Kurakin Ian Goodfellow Samy Bengio	2
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	2
+ PDF Chat	Efficient object localization using Convolutional Networks	2015	Jonathan Tompson Ross Goroshin Arjun Jain Yann LeCun Christoph Bregler	2
+ PDF Chat	Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation	2019	Seungmin Lee Dong-Wan Kim Namil Kim Seong-Gyun Jeong	2
+ PDF Chat	Episodic Training for Domain Generalization	2019	Da Li Jianshu Zhang Yongxin Yang Cong Liu Yi-Zhe Song Timothy M. Hospedales	2
+ PDF Chat	Momentum Contrast for Unsupervised Visual Representation Learning	2020	Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross Girshick	2
+ PDF Chat	Adversarial Examples for Evaluating Reading Comprehension Systems	2017	Robin Jia Percy Liang	2
+	Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference	2019	Tom McCoy Ellie Pavlick Tal Linzen	2
+	Data-Efficient Image Recognition with Contrastive Predictive Coding	2019	Olivier J. Hénaff Aravind Srinivas Jeffrey De Fauw Ali Razavi Carl Doersch S. M. Ali Eslami Aäron van den Oord	2
+	Agnostic Domain Generalization.	2018	Fabio Maria Carlucci Paolo Russo Tatiana Tommasi Barbara Caputo	2
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	2
+	Domain Adaptation: Learning Bounds and Algorithms	2009	Yishay Mansour Mehryar Mohri Afshin Rostamizadeh	2
+	Generalizing Across Domains via Cross-Gradient Training	2018	Shiv Shankar Vihari Piratla Soumen Chakrabarti Siddhartha Chaudhuri Preethi Jyothi Sunita Sarawagi	2
+	Zero-shot Domain Adaptation without Domain Semantic Descriptors	2018	Atsutoshi Kumagai Tomoharu Iwata	2
+	Improving predictive inference under covariate shift by weighting the log-likelihood function	2000	Hidetoshi Shimodaira	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+	Explaining and Harnessing Adversarial Examples	2014	Ian Goodfellow Jonathon Shlens Christian Szegedy	2
+ PDF Chat	Deep Hashing Network for Unsupervised Domain Adaptation	2017	Hemanth Venkateswara José Eusébio Shayok Chakraborty Sethuraman Panchanathan	2
+	A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks	2018	Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin	2
+ PDF Chat	Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-Supervised Object and Action Localization	2017	Krishna Kumar Singh Yong Jae Lee	2
+	Domain Generalization via Invariant Feature Representation	2013	Krikamol Muandet David Balduzzi Bernhard Schölkopf	2
+	Learning Robust Representations by Projecting Superficial Statistics Out	2019	Haohan Wang Zexue He Zachary C. Lipton Eric P. Xing	2
+ PDF Chat	Adversarial Dropout for Supervised and Semi-Supervised Learning	2018	Sungrae Park Jun-Keon Park Su-Jin Shin Il‐Chul Moon	2
+ PDF Chat	Unified Deep Supervised Domain Adaptation and Generalization	2017	Saeid Motiian Marco Piccirilli Donald Adjeroh Gianfranco Doretto	2
+ PDF Chat	Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation	2016	Muhammad Ghifary W. Bastiaan Kleijn Mengjie Zhang David Balduzzi Wen Li	1
+ PDF Chat	Tweet2Vec	2016	Soroush Vosoughi Prashanth Vijayaraghavan Deb Roy	1