Wong, Ka-Chun

7 publications

ICCV 2025 TRNAS: A Training-Free Robust Neural Architecture Search Yeming Yang, Qingling Zhu, Jianping Luo, Ka-Chun Wong, Qiuzhen Lin, Jianqiang Li

NeurIPS 2024 A Versatile Informative Diffusion Model for Single-Cell ATAC-Seq Data Generation and Analysis Lei Huang, Lei Xiong, Na Sun, Zunpeng Liu, Ka-Chun Wong, Manolis Kellis

AAAI 2024 Unsupervised Gene-Cell Collective Representation Learning with Optimal Transport Jixiang Yu, Nanjun Chen, Ming Gao, Xiangtao Li, Ka-Chun Wong

AAAI 2023 MDM: Molecular Diffusion Model for 3D Molecule Generation Lei Huang, Hengtong Zhang, Tingyang Xu, Ka-Chun Wong

AAAI 2023 Unsupervised Deep Embedded Fusion Representation of Single-Cell Transcriptomics Yue Cheng, Yanchi Su, Zhuohan Yu, Yanchun Liang, Ka-Chun Wong, Xiangtao Li

AAAI 2022 ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations Zhuohan Yu, Yifu Lu, Yunhe Wang, Fan Tang, Ka-Chun Wong, Xiangtao Li

IJCAI 2015 A Scalable Community Detection Algorithm for Large Graphs Using Stochastic Block Models Chengbin Peng, Zhihua Zhang, Ka-Chun Wong, Xiangliang Zhang, David E. Keyes