Yin, Kejing

8 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

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 2021 SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors Ardavan Afshar, Kejing Yin, Sherry Yan, Cheng Qian, Joyce C. Ho, Haesun Park, Jimeng Sun

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

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