Kwan Ho Ryan Chan
11 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze
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The Questioner
💎
Century Club · Bronze
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Research topics
Keywords
representation learning
(5)
variational inference
(3)
maximal coding rate reduction
(3)
image classification
(2)
vision-language model
(2)
discriminative representation
(2)
manifold learning
(1)
feature learning
(1)
dictionary learning
(1)
unsupervised clustering
(1)
self-supervised learning
(1)
interpretable machine learning
(1)
image editing
(1)
model alignment
(1)
latent space
(1)
embedding space
(1)
convolutional network
(1)
deep neural network
(1)
information gain
(1)
diffusion model
(1)
Papers
Concept Lancet: Image Editing with Compositional Representation Transplant
CVPR 2025
Do LLMs ``know'' internally when they follow instructions?
ICLR 2025
IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports
MICCAI 2025
Learning Interpretable Queries for Explainable Image Classification with Information Pursuit
ICCV 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
NeurIPS 2024
Unsupervised Manifold Linearizing and Clustering
ICCV 2023
Variational Information Pursuit for Interpretable Predictions
ICLR 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
NeurIPS 2020