Kwan Ho Ryan Chan
11 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) πΊοΈ Taxonomy Completionist (16) π§ Keyword Pioneer π Conference Polyglot (6) π Academic Marathon (5)
π
Interdisciplinary Bridge
π
Century Club
(11)
β
The Questioner
Conferences
ICLR (3)
CVPR (2)
ICCV (2)
NIPS (2)
JMLR (1)
MICCAI (1)
Top co-authors
Research topics
Keywords
representation learning
(5)
maximal coding rate reduction
(3)
discriminative representation
(2)
image classification
(1)
feature learning
(1)
manifold learning
(1)
variational inference
(1)
sparse coding
(1)
unsupervised clustering
(1)
self-supervised learning
(1)
image editing
(1)
model alignment
(1)
diffusion model
(1)
deep neural network
(1)
convolutional network
(1)
latent space
(1)
vision-language model
(1)
interpretable classifier
(1)
text embedding
(1)
linear representation
(1)
Papers
IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports
MICCAI 2025
Concept Lancet: Image Editing with Compositional Representation Transplant
CVPR 2025
Learning Interpretable Queries for Explainable Image Classification with Information Pursuit
ICCV 2025
Do LLMs ``know'' internally when they follow instructions?
ICLR 2025
Bootstrapping Variational Information Pursuit with Large Language and Vision Models for Interpretable Image Classification
ICLR 2024
PaCE: Parsimonious Concept Engineering for Large Language Models
NIPS 2024
Variational Information Pursuit for Interpretable Predictions
ICLR 2023
Unsupervised Manifold Linearizing and Clustering
ICCV 2023
Efficient Maximal Coding Rate Reduction by Variational Forms
CVPR 2022
ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction
JMLR 2022
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction
NIPS 2020