Kwan Ho Ryan Chan

32 papers A* 8Journal 20Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Concept Lancet: Image Editing with Compositional Representation Transplant. CVPR Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan, Hancheng Min, Chris Callison-Burch, René Vidal
2025	J	`jnl`	Concept Lancet: Image Editing with Compositional Representation Transplant. CoRR Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan, Hancheng Min, Chris Callison-Burch, René Vidal
2025	J	`jnl`	Conformal Information Pursuit for Interactively Guiding Large Language Models. CoRR Kwan Ho Ryan Chan, Yuyan Ge, Edgar Dobriban, Hamed Hassani, René Vidal
2025	A*	`conf`	Do LLMs "know" internally when they follow instructions? ICLR Juyeon Heo, Christina Heinze-Deml, Oussama Elachqar, Kwan Ho Ryan Chan, Shirley You Ren, Andrew C. Miller, Udhyakumar Nallasamy, Jaya Narain
2025	—	`conf`	IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports. MICCAI (14) Yuyan Ge, Kwan Ho Ryan Chan, Pablo Messina, René Vidal
2025	J	`jnl`	IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports. CoRR Yuyan Ge, Kwan Ho Ryan Chan, Pablo Messina, René Vidal
2025	J	`jnl`	KDA: A Knowledge-Distilled Attacker for Generating Diverse Prompts to Jailbreak LLMs. CoRR Buyun Liang, Kwan Ho Ryan Chan, Darshan Thaker, Jinqi Luo, René Vidal
2025	J	`jnl`	SECA: Semantically Equivalent and Coherent Attacks for Eliciting LLM Hallucinations. CoRR Buyun Liang, Liangzu Peng, Jinqi Luo, Darshan Thaker, Kwan Ho Ryan Chan, René Vidal
2024	A*	`conf`	Bootstrapping Variational Information Pursuit with Large Language and Vision Models for Interpretable Image Classification. ICLR Aditya Chattopadhyay, Kwan Ho Ryan Chan, René Vidal
2024	—	`conf`	Contextual Knowledge Pursuit for Faithful Visual Synthesis. ECCV Workshops (20) Jinqi Luo, Kwan Ho Ryan Chan, Dimitris Dimos, René Vidal
2024	J	`jnl`	Do LLMs "know" internally when they follow instructions? CoRR Juyeon Heo, Christina Heinze-Deml, Oussama Elachqar, Shirley You Ren, Udhay Nallasamy, Andy Miller, Kwan Ho Ryan Chan, Jaya Narain
2024	A*	`conf`	PaCE: Parsimonious Concept Engineering for Large Language Models. NeurIPS Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan, Darshan Thaker, Aditya Chattopadhyay, Chris Callison-Burch, René Vidal
2024	J	`jnl`	PaCE: Parsimonious Concept Engineering for Large Language Models. CoRR Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan, Darshan Thaker, Aditya Chattopadhyay, Chris Callison-Burch, René Vidal
2023	J	`jnl`	Knowledge Pursuit Prompting for Zero-Shot Multimodal Synthesis. CoRR Jinqi Luo, Kwan Ho Ryan Chan, Dimitris Dimos, René Vidal
2023	J	`jnl`	Learning Interpretable Queries for Explainable Image Classification with Information Pursuit. CoRR Stefan Kolek, Aditya Chattopadhyay, Kwan Ho Ryan Chan, Héctor Andrade-Loarca, Gitta Kutyniok, René Vidal
2023	A*	`conf`	Unsupervised Manifold Linearizing and Clustering. ICCV Tianjiao Ding, Shengbang Tong, Kwan Ho Ryan Chan, Xili Dai, Yi Ma, Benjamin D. Haeffele
2023	J	`jnl`	Unsupervised Manifold Linearizing and Clustering. CoRR Tianjiao Ding, Shengbang Tong, Kwan Ho Ryan Chan, Xili Dai, Yi Ma, Benjamin D. Haeffele
2023	A*	`conf`	Variational Information Pursuit for Interpretable Predictions. ICLR Aditya Chattopadhyay, Kwan Ho Ryan Chan, Benjamin David Haeffele, Donald Geman, René Vidal
2023	J	`jnl`	Variational Information Pursuit for Interpretable Predictions. CoRR Aditya Chattopadhyay, Kwan Ho Ryan Chan, Benjamin D. Haeffele, Donald Geman, René Vidal
2023	J	`jnl`	Variational Information Pursuit with Large Language and Multimodal Models for Interpretable Predictions. CoRR Kwan Ho Ryan Chan, Aditya Chattopadhyay, Benjamin David Haeffele, René Vidal
2022	J	`jnl`	CTRL: Closed-Loop Transcription to an LDR via Minimaxing Rate Reduction. Entropy Xili Dai, Shengbang Tong, Mingyang Li, Ziyang Wu, Michael Psenka, Kwan Ho Ryan Chan, Pengyuan Zhai, Yaodong Yu, Xiaojun Yuan, Heung-Yeung Shum, Yi Ma
2022	J	`jnl`	Dynamic modeling of hospitalized COVID-19 patients reveals disease state-dependent risk factors. J. Am. Medical Informatics Assoc. Braden C. Soper, Jose Cadena, Sam Nguyen, Kwan Ho Ryan Chan, Paul Kiszka, Lucas Aaron Womack, Mark Work, Joan M. Duggan, Steven T. Haller, Jennifer A. Hanrahan, David J. Kennedy, Deepa Mukundan, Priyadip Ray
2022	A*	`conf`	Efficient Maximal Coding Rate Reduction by Variational Forms. CVPR Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele
2022	J	`jnl`	Efficient Maximal Coding Rate Reduction by Variational Forms. CoRR Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele
2022	J	`jnl`	ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction. J. Mach. Learn. Res. Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma
2021	J	`jnl`	Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction. CoRR Xili Dai, Shengbang Tong, Mingyang Li, Ziyang Wu, Kwan Ho Ryan Chan, Pengyuan Zhai, Yaodong Yu, Michael Psenka, Xiaojun Yuan, Heung-Yeung Shum, Yi Ma
2021	—	`conf`	End-to-End Framework for Imputation and State Discovery in Longitudinal Energy Data. e-Energy Alexander Ladd, Kwan Ho Ryan Chan, Sam Nguyen, Jose Cadena, Brenda Ng
2021	J	`jnl`	ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction. CoRR Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma
2020	J	`jnl`	Deep Networks from the Principle of Rate Reduction. CoRR Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma
2020	A*	`conf`	Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction. NeurIPS Yaodong Yu, Kwan Ho Ryan Chan, Chong You, Chaobing Song, Yi Ma
2020	J	`jnl`	Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction. CoRR Yaodong Yu, Kwan Ho Ryan Chan, Chong You, Chaobing Song, Yi Ma
2020	—	`conf`	Subspace Locally Competitive Algorithms. NICE Dylan M. Paiton, Steven Shepard, Kwan Ho Ryan Chan, Bruno A. Olshausen