Cheung, William K.

15 publications

NeurIPS 2025 CURV: Coherent Uncertainty-Aware Reasoning in Vision-Language Models for X-Ray Report Generation Ziao Wang, Sixing Yan, Kejing Yin, Xiaofeng Zhang, William K. Cheung

NeurIPS 2025 Multimodal Disease Progression Modeling via Spatiotemporal Disentanglement and Multiscale Alignment Chen Liu, Wenfang Yao, Kejing Yin, William K. Cheung, Jing Qin

CVPR 2024 AHIVE: Anatomy-Aware Hierarchical Vision Encoding for Interactive Radiology Report Retrieval Sixing Yan, William K. Cheung, Ivor W. Tsang, Keith Chiu, Terence M. Tong, Ka Chun Cheung, Simon See

NeurIPS 2024 Addressing Asynchronicity in Clinical Multimodal Fusion via Individualized Chest X-Ray Generation Wenfang Yao, Chen Liu, Kejing Yin, William K. Cheung, Jing Qin

AAAI 2024 DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency Wenfang Yao, Kejing Yin, William K. Cheung, Jia Liu, Jing Qin

AAAI 2019 Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization Kejing Yin, Dong Qian, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon

IJCAI 2019 Medical Concept Embedding with Multiple Ontological Representations Lihong Song, Chin Wang Cheong, Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon

AAAI 2019 Similarity Preserving Deep Asymmetric Quantization for Image Retrieval Junjie Chen, William K. Cheung

IJCAI 2018 Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization Kejing Yin, William K. Cheung, Yang Liu, Benjamin C. M. Fung, Jonathan Poon

IJCAI 2018 Learning Deep Unsupervised Binary Codes for Image Retrieval Junjie Chen, William K. Cheung, Anran Wang

IJCAI 2017 A Structural Representation Learning for Multi-Relational Networks Lin Liu, Xin Li, William K. Cheung, Chengcheng Xu

IJCAI 2016 Aligning Users Across Social Networks Using Network Embedding Li Liu, William K. Cheung, Xin Li, Lejian Liao

IJCAI 2016 Inferring Motif-Based Diffusion Models for Social Networks Qing Bao, William K. Cheung, Jiming Liu

AAAI 2016 Inferring a Personalized Next Point-of-Interest Recommendation Model with Latent Behavior Patterns Jing He, Xin Li, Lejian Liao, Dandan Song, William K. Cheung

IJCAI 2005 Learning Global Models Based on Distributed Data Abstractions Xiaofeng Zhang, William K. Cheung