Jihun Hamm - RankMe

77 papers A* 11A 7C 1Misc 2Journal 43Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agents in the Wild: Safety, Society, and the Illusion of Sociality on Moltbook. CoRR Yunbei Zhang, Kai Mei, Ming Liu, Janet Wang, Dimitris N. Metaxas, Xiao Wang, Jihun Hamm, Yingqiang Ge
2026	J	`jnl`	Prompt-based Adaptation in Large-scale Vision Models: A Survey. Trans. Mach. Learn. Res. Xi Xiao, Yunbei Zhang, Lin Zhao, Yiyang Liu, Xiaoying Liao, Zheda Mai, Xingjian Li, Xiao Wang, Hao Xu, Jihun Hamm, Xue Lin, Min Xu, Qifan Wang, Tianyang Wang, Cheng Han
2026	J	`jnl`	Seeing Clearly, Reasoning Confidently: Plug-and-Play Remedies for Vision Language Model Blindness. CoRR Xin Hu, Haomiao Ni, Yunbei Zhang, Jihun Hamm, Zechen Li, Zhengming Ding
2026	J	`jnl`	Visual Exclusivity Attacks: Automatic Multimodal Red Teaming via Agentic Planning. CoRR Yunbei Zhang, Yingqiang Ge, Weijie Xu, Yuhui Xu, Jihun Hamm, Chandan K. Reddy
2025	A*	`conf`	DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation. ICML Yunbei Zhang, Akshay Mehra, Shuaicheng Niu, Jihun Hamm
2025	J	`jnl`	Describe Anything in Medical Images. CoRR Xi Xiao, Yunbei Zhang, Thanh-Huy Nguyen, Ba Thinh Lam, Janet Wang, Lin Zhao, Jihun Hamm, Tianyang Wang, Xingjian Li, Xiao Wang, Hao Xu, Tianming Liu, Min Xu
2025	J	`jnl`	Doctor Approved: Generating Medically Accurate Skin Disease Images through AI-Expert Feedback. CoRR Janet Wang, Yunbei Zhang, Zhengming Ding, Jihun Hamm
2025	A	`conf`	Enhancing Skin Disease Diagnosis: Interpretable Visual Concept Discovery with SAM. WACV Xin Hu, Janet Wang, Jihun Hamm, Rie Roselyne Yotsu, Zhengming Ding
2025	A	`conf`	OT-VP: Optimal Transport-Guided Visual Prompting for Test-Time Adaptation. WACV Yunbei Zhang, Akshay Mehra, Jihun Hamm
2025	J	`jnl`	Prompt-based Adaptation in Large-scale Vision Models: A Survey. CoRR Xi Xiao, Yunbei Zhang, Lin Zhao, Yiyang Liu, Xiaoying Liao, Zheda Mai, Xingjian Li, Xiao Wang, Hao Xu, Jihun Hamm, Xue Lin, Min Xu, Qifan Wang, Tianyang Wang, Cheng Han
2025	—	`conf`	SOFA: Deep Learning Framework for Simulating and Optimizing Atrial Fibrillation Ablation. MICCAI (4) Yunsung Chung, Chanho Lim, Ghassan Bidaoui, Christian Massad, Nassir Marrouche, Jihun Hamm
2025	J	`jnl`	SOFA: Deep Learning Framework for Simulating and Optimizing Atrial Fibrillation Ablation. CoRR Yunsung Chung, Chanho Lim, Ghassan Bidaoui, Christian Massad, Nassir Marrouche, Jihun Hamm
2025	A*	`conf`	SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation. USENIX Security Symposium Yunsung Chung, Yunbei Zhang, Nassir Marrouche, Jihun Hamm
2025	J	`jnl`	SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation. CoRR Yunsung Chung, Yunbei Zhang, Nassir Marrouche, Jihun Hamm
2025	A*	`conf`	Visual Instance-aware Prompt Tuning. ACM Multimedia Xi Xiao, Yunbei Zhang, Xingjian Li, Tianyang Wang, Xiao Wang, Yuxiang Wei, Jihun Hamm, Min Xu
2025	J	`jnl`	Visual Instance-aware Prompt Tuning. CoRR Xi Xiao, Yunbei Zhang, Xingjian Li, Tianyang Wang, Xiao Wang, Yuxiang Wei, Jihun Hamm, Min Xu
2025	J	`jnl`	Visual Variational Autoencoder Prompt Tuning. CoRR Xi Xiao, Yunbei Zhang, Yanshuh Li, Xingjian Li, Tianyang Wang, Jihun Hamm, Xiao Wang, Min Xu
2025	A*	`conf`	eSkinHealth: A Multimodal Dataset for Neglected Tropical Skin Diseases. ACM Multimedia Janet Wang, Xin Hu, Yunbei Zhang, Diabate Almamy, Vagamon Bamba, Konan Amos Sébastien Koffi, Koffi Aubin Yao, Zhengming Ding, Jihun Hamm, Rie Roselyne Yotsu
2025	J	`jnl`	eSkinHealth: A Multimodal Dataset for Neglected Tropical Skin Diseases. CoRR Janet Wang, Xin Hu, Yunbei Zhang, Diabate Almamy, Vagamon Bamba, Konan Amos Sébastien Koffi, Koffi Aubin Yao, Zhengming Ding, Jihun Hamm, Rie Roselyne Yotsu
2024	—	`conf`	Achieving Reliable and Fair Skin Lesion Diagnosis via Unsupervised Domain Adaptation. CVPR Workshops Janet Wang, Yunbei Zhang, Zhengming Ding, Jihun Hamm
2024	—	`conf`	Bridging the Gap: Synthetic Data Augmentation through Inversion and Distribution Matching for Few-shot Learning. AIMLSystems Yunsung Chung, Janet Wang, Jihun Hamm
2024	J	`jnl`	Dynamic Domains, Dynamic Solutions: DPCore for Continual Test-Time Adaptation. CoRR Yunbei Zhang, Akshay Mehra, Jihun Hamm
2024	J	`jnl`	Enhancing Skin Disease Diagnosis: Interpretable Visual Concept Discovery with SAM Empowerment. CoRR Xin Hu, Janet Wang, Jihun Hamm, Rie Roselyne Yotsu, Zhengming Ding
2024	—	`conf`	From Majority to Minority: A Diffusion-Based Augmentation for Underrepresented Groups in Skin Lesion Analysis. ISIC/iMIMIC/EARTH/DeCaF@MICCAI Janet Wang, Yunsung Chung, Zhengming Ding, Jihun Hamm
2024	J	`jnl`	From Majority to Minority: A Diffusion-based Augmentation for Underrepresented Groups in Skin Lesion Analysis. CoRR Janet Wang, Yunsung Chung, Zhengming Ding, Jihun Hamm
2024	J	`jnl`	Marginalized Augmented Few-Shot Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. Taotao Jing, Haifeng Xia, Jihun Hamm, Zhengming Ding
2024	J	`jnl`	OT-VP: Optimal Transport-guided Visual Prompting for Test-Time Adaptation. CoRR Yunbei Zhang, Akshay Mehra, Jihun Hamm
2024	A	`conf`	On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization. WACV Akshay Mehra, Yunbei Zhang, Bhavya Kailkhura, Jihun Hamm
2024	—	`conf`	Test-time Assessment of a Model's Performance on Unseen Domains via Optimal Transport. CVPR Workshops Akshay Mehra, Yunbei Zhang, Jihun Hamm
2024	J	`jnl`	Test-time Assessment of a Model's Performance on Unseen Domains via Optimal Transport. CoRR Akshay Mehra, Yunbei Zhang, Jihun Hamm
2024	A*	`conf`	Understanding the Transferability of Representations via Task-Relatedness. NeurIPS Akshay Mehra, Yunbei Zhang, Jihun Hamm
2023	J	`jnl`	Analysis of Task Transferability in Large Pre-trained Classifiers. CoRR Akshay Mehra, Yunbei Zhang, Jihun Hamm
2023	J	`jnl`	Can Domain Adaptation Improve Accuracy and Fairness of Skin Lesion Classification? CoRR Janet Wang, Yunbei Zhang, Zhengming Ding, Jihun Hamm
2023	—	`conf`	FBA-Net: Foreground and Background Aware Contrastive Learning for Semi-Supervised Atrium Segmentation. MILLanD@MICCAI Yunsung Chung, Chanho Lim, Chao Huang, Nassir Marrouche, Jihun Hamm
2023	J	`jnl`	FBA-Net: Foreground and Background Aware Contrastive Learning for Semi-Supervised Atrium Segmentation. CoRR Yunsung Chung, Chanho Lim, Chao Huang, Nassir Marrouche, Jihun Hamm
2023	J	`jnl`	On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization. CoRR Akshay Mehra, Yunbei Zhang, Bhavya Kailkhura, Jihun Hamm
2022	—	`conf`	A Spectral View of Randomized Smoothing Under Common Corruptions: Benchmarking and Improving Certified Robustness. ECCV (4) Jiachen Sun, Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Dan Hendrycks, Jihun Hamm, Z. Morley Mao
2022	J	`jnl`	Augmented Multimodality Fusion for Generalized Zero-Shot Sketch-Based Visual Retrieval. IEEE Trans. Image Process. Taotao Jing, Haifeng Xia, Jihun Hamm, Zhengming Ding
2022	J	`jnl`	Defeating traffic analysis via differential privacy: a case study on streaming traffic. Int. J. Inf. Sec. Xiaokuan Zhang, Jihun Hamm, Michael K. Reiter, Yinqian Zhang
2022	J	`jnl`	On Certifying and Improving Generalization to Unseen Domains. CoRR Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm
2022	A*	`conf`	Online Evasion Attacks on Recurrent Models: The Power of Hallucinating the Future. IJCAI Byunggill Joe, Insik Shin, Jihun Hamm
2022	J	`jnl`	Online Evasion Attacks on Recurrent Models: The Power of Hallucinating the Future. CoRR Byunggill Joe, Insik Shin, Jihun Hamm
2021	J	`jnl`	Certified Adversarial Defenses Meet Out-of-Distribution Corruptions: Benchmarking Robustness and Simple Baselines. CoRR Jiachen Sun, Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Dan Hendrycks, Jihun Hamm, Z. Morley Mao
2021	A*	`conf`	How Robust Are Randomized Smoothing Based Defenses to Data Poisoning? CVPR Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm
2021	J	`jnl`	Machine Learning with Electronic Health Records is vulnerable to Backdoor Trigger Attacks. CoRR Byunggill Joe, Akshay Mehra, Insik Shin, Jihun Hamm
2021	C	`conf`	Penalty Method for Inversion-Free Deep Bilevel Optimization. ACML Akshay Mehra, Jihun Hamm
2021	A*	`conf`	Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning. NeurIPS Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm
2021	J	`jnl`	Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning. CoRR Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm
2020	J	`jnl`	How Robust are Randomized Smoothing based Defenses to Data Poisoning? CoRR Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm
2020	J	`jnl`	Learning to Separate Clusters of Adversarial Representations for Robust Adversarial Detection. CoRR Byunggill Joe, Jihun Hamm, Sung Ju Hwang, Sooel Son, Insik Shin
2019	J	`jnl`	Penalty Method for Inversion-Free Deep Bilevel Optimization. CoRR Akshay Mehra, Jihun Hamm
2019	A*	`conf`	Statistical Privacy for Streaming Traffic. NDSS Xiaokuan Zhang, Jihun Hamm, Michael K. Reiter, Yinqian Zhang
2018	J	`jnl`	Fast Interactive Image Retrieval using large-scale unlabeled data. CoRR Akshay Mehra, Jihun Hamm, Mikhail Belkin
2018	J	`jnl`	Fluid Dynamic Models for Bhattacharyya-Based Discriminant Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Yung-Kyun Noh, Jihun Hamm, Frank Chongwoo Park, Byoung-Tak Zhang, Daniel D. Lee
2018	A*	`conf`	K-Beam Minimax: Efficient Optimization for Deep Adversarial Learning. ICML Jihun Hamm, Yung-Kyun Noh
2018	J	`jnl`	K-Beam Subgradient Descent for Minimax Optimization. CoRR Jihun Hamm, Yung-Kyun Noh
2017	Misc	`conf`	Crowd-ML: A library for privacy-preserving machine learning on smart devices. ICASSP Jihun Hamm, Jackson Luken, Yani Xie
2017	Misc	`conf`	Enhancing utility and privacy with noisy minimax filters. ICASSP Jihun Hamm
2017	J	`jnl`	Machine vs Machine: Defending Classifiers Against Learning-based Adversarial Attacks. CoRR Jihun Hamm
2017	J	`jnl`	Minimax Filter: Learning to Preserve Privacy from Inference Attacks. J. Mach. Learn. Res. Jihun Hamm
2016	—	`conf`	A Large-Scale Study in Predictability of Daily Activities and Places. MobiCASE Gordon Euhyun Moon, Jihun Hamm
2016	J	`jnl`	Learning Privately from Multiparty Data. CoRR Jihun Hamm, Paul Cao, Mikhail Belkin
2016	A*	`conf`	Learning privately from multiparty data. ICML Jihun Hamm, Yingjun Cao, Mikhail Belkin
2016	J	`jnl`	Minimax Filter: Learning to Preserve Privacy from Inference Attacks. CoRR Jihun Hamm
2015	A	`conf`	Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices. ICDCS Jihun Hamm, Adam C. Champion, Guoxing Chen, Mikhail Belkin, Dong Xuan
2015	J	`jnl`	Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices. CoRR Jihun Hamm, Adam C. Champion, Guoxing Chen, Mikhail Belkin, Dong Xuan
2015	A	`conf`	Preserving Privacy of Continuous High-dimensional Data with Minimax Filters. AISTATS Jihun Hamm
2015	J	`jnl`	Probabilistic Zero-shot Classification with Semantic Rankings. CoRR Jihun Hamm, Mikhail Belkin
2015	A	`conf`	Qualitative Tracking Performance Evaluation without Ground-Truth. WACV Bohyung Han, Jihun Hamm
2014	J	`jnl`	Regional Manifold Learning for Disease Classification. IEEE Trans. Medical Imaging Dong Hye Ye, Benoit Desjardins, Jihun Hamm, Harold Litt, Kilian M. Pohl
2013	—	`conf`	FLOOR: Fusing Locally Optimal Registrations. MICCAI (3) Dong Hye Ye, Jihun Hamm, Benoit Desjardins, Kilian M. Pohl
2012	—	`conf`	Automatic Annotation of Daily Activity from Smartphone-Based Multisensory Streams. MobiCASE Jihun Hamm, Benjamin Stone, Mikhail Belkin, Simon Dennis
2012	—	`conf`	Combining regional metrics for disease-related brain population analysis. ISBI Dong Hye Ye, Jihun Hamm, Kilian M. Pohl
2012	—	`conf`	Regional Manifold Learning for Deformable Registration of Brain MR Images. MICCAI (3) Dong Hye Ye, Jihun Hamm, Dongjin Kwon, Christos Davatzikos, Kilian M. Pohl
2011	A	`conf`	Personalized video summarization with human in the loop. WACV Bohyung Han, Jihun Hamm, Jack Sim
2010	J	`jnl`	GRAM: A framework for geodesic registration on anatomical manifolds. Medical Image Anal. Jihun Hamm, Dong Hye Ye, Ragini Verma, Christos Davatzikos
2009	—	`conf`	Efficient Large Deformation Registration via Geodesics on a Learned Manifold of Images. MICCAI (1) Jihun Hamm, Christos Davatzikos, Ragini Verma