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Chan, Kwan Ho Ryan
14 publications
CVPR
2025
Concept Lancet: Image Editing with Compositional Representation Transplant
Jinqi Luo
,
Tianjiao Ding
,
Kwan Ho Ryan Chan
,
Hancheng Min
,
Chris Callison-Burch
,
Rene Vidal
NeurIPS
2025
Conformal Information Pursuit for Interactively Guiding Large Language Models
Kwan Ho Ryan Chan
,
Yuyan Ge
,
Edgar Dobriban
,
Hamed Hassani
,
Rene Vidal
ICLR
2025
Do LLMs ``know'' Internally When They Follow Instructions?
Juyeon Heo
,
Christina Heinze-Deml
,
Oussama Elachqar
,
Kwan Ho Ryan Chan
,
Shirley You Ren
,
Andrew Miller
,
Udhyakumar Nallasamy
,
Jaya Narain
ICCV
2025
Learning Interpretable Queries for Explainable Image Classification with Information Pursuit
Stefan Kolek
,
Aditya Chattopadhyay
,
Kwan Ho Ryan Chan
,
Hector Andrade-Loarca
,
Gitta Kutyniok
,
René Vidal
NeurIPS
2025
SECA: Semantically Equivalent and Coherent Attacks for Eliciting LLM Hallucinations
Buyun Liang
,
Liangzu Peng
,
Jinqi Luo
,
Darshan Thaker
,
Kwan Ho Ryan Chan
,
Rene Vidal
ICLR
2024
Bootstrapping Variational Information Pursuit with Large Language and Vision Models for Interpretable Image Classification
Aditya Chattopadhyay
,
Kwan Ho Ryan Chan
,
Rene Vidal
ECCVW
2024
Contextual Knowledge Pursuit for Faithful Visual Synthesis
Jinqi Luo
,
Kwan Ho Ryan Chan
,
Dimitris Dimos
,
René Vidal
NeurIPSW
2024
Do LLMs Internally ``know'' When They Follow Instructions?
Juyeon Heo
,
Christina Heinze-Deml
,
Oussama Elachqar
,
Shirley You Ren
,
Kwan Ho Ryan Chan
,
Udhyakumar Nallasamy
,
Andrew Miller
,
Jaya Narain
NeurIPS
2024
PaCE: Parsimonious Concept Engineering for Large Language Models
Jinqi Luo
,
Tianjiao Ding
,
Kwan Ho Ryan Chan
,
Darshan Thaker
,
Aditya Chattopadhyay
,
Chris Callison-Burch
,
René Vidal
ICCV
2023
Unsupervised Manifold Linearizing and Clustering
Tianjiao Ding
,
Shengbang Tong
,
Kwan Ho Ryan Chan
,
Xili Dai
,
Yi Ma
,
Benjamin D. Haeffele
ICLR
2023
Variational Information Pursuit for Interpretable Predictions
Aditya Chattopadhyay
,
Kwan Ho Ryan Chan
,
Benjamin David Haeffele
,
Donald Geman
,
Rene Vidal
CVPR
2022
Efficient Maximal Coding Rate Reduction by Variational Forms
Christina Baek
,
Ziyang Wu
,
Kwan Ho Ryan Chan
,
Tianjiao Ding
,
Yi Ma
,
Benjamin D. Haeffele
JMLR
2022
ReduNet: A White-Box Deep Network from the Principle of Maximizing Rate Reduction
Kwan Ho Ryan Chan
,
Yaodong Yu
,
Chong You
,
Haozhi Qi
,
John Wright
,
Yi Ma
NeurIPS
2020
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction
Yaodong Yu
,
Kwan Ho Ryan Chan
,
Chong You
,
Chaobing Song
,
Yi Ma