William K. Cheung
15 papers · 2016–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Gold πΊοΈ Taxonomy Completionist (43) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Half
π
Renaissance Researcher
(7)
π
Conference Pioneer
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(79)
Top co-authors
Research topics
Machine Learning
(12)
Core Methods
(10)
Deep Learning
(7)
Healthcare & Medicine
(5)
Clinical
(5)
Artificial Intelligence
(4)
Natural Language Processing
(4)
Learning Types
(4)
Computer Vision
(3)
Core AI Β· Artificial Intelligence
(3)
Application Areas
(2)
Applications
(2)
Architectures
(2)
Core AI Β· Computer Vision
(2)
Domain-Specific
(2)
Keywords
electronic health record
(5)
medical imaging
(3)
image retrieval
(2)
multimodal fusion
(2)
attention mechanism
(2)
binary code
(2)
non-negative tensor factorization
(2)
text generation
(2)
radiology report
(2)
graph representation
(1)
text summarization
(1)
multimodal learning
(1)
reinforcement learning
(1)
consensus learning
(1)
tensor factorization
(1)
language modeling
(1)
mutual information
(1)
hierarchical representation
(1)
neural machine translation
(1)
time series
(1)
Papers
Gated Variational Graph Autoencoders as Experts with Competition and Consensus for Multi-view Clustering
AAAI 2026
Overview of the BioLaySumm 2025 Shared Task on Lay Summarization of Biomedical Research Articles and Radiology Reports
ACL 2025
Addressing Asynchronicity in Clinical Multimodal Fusion via Individualized Chest X-ray Generation
NeurIPS 2024
AHIVE: Anatomy-aware Hierarchical Vision Encoding for Interactive Radiology Report Retrieval
CVPR 2024
DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency
AAAI 2024
Assessing Non-autoregressive Alignment in Neural Machine Translation via Word Reordering
EMNLP 2022
Enhancing Variational Autoencoders with Mutual Information Neural Estimation for Text Generation
EMNLP 2019
Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization
AAAI 2019
Medical Concept Embedding with Multiple Ontological Representations
IJCAI 2019
Similarity Preserving Deep Asymmetric Quantization for Image Retrieval
AAAI 2019
Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization
IJCAI 2018
Learning Deep Unsupervised Binary Codes for Image Retrieval
IJCAI 2018
A Structural Representation Learning for Multi-relational Networks
IJCAI 2017
Aligning Users across Social Networks Using Network Embedding
IJCAI 2016
Inferring Motif-Based Diffusion Models for Social Networks
IJCAI 2016