| 2025 | ICCV | TRNAS: A Training-Free Robust Neural Architecture Search. | Yeming Yang, Qingling Zhu, Jianping Luo, Ka-Chun Wong, Qiuzhen Lin, Jianqiang Li |
| 2025 | ICONIP | Addressing Capture Bias in Tomato Disease Classification with Deep Transfer Learning. | Muhammad Toseef, Malik Jahan Khan, Saifur Rahaman, Atta Ullah, Olutomilayo Olayemi Petinrin, Xiangtao Li, Ka-Chun Wong |
| 2024 | AAAI | Unsupervised Gene-Cell Collective Representation Learning with Optimal Transport. | Jixiang Yu, Nanjun Chen, Ming Gao, Xiangtao Li, Ka-Chun Wong |
| 2024 | ICONIP | scPER2P: Parameter-Efficient Single-Cell LLM for Translated Proteome Profiles. | Yuchen Wang, Xingjian Chen, Zetian Zheng, Weidun Xie, Fuzhou Wang, Lei Huang, Ka-Chun Wong |
| 2023 | AAAI | Unsupervised Deep Embedded Fusion Representation of Single-Cell Transcriptomics. | Yue Cheng, Yanchi Su, Zhuohan Yu, Yanchun Liang, Ka-Chun Wong, Xiangtao Li |
| 2023 | AAAI | MDM: Molecular Diffusion Model for 3D Molecule Generation. | Lei Huang, Hengtong Zhang, Tingyang Xu, Ka-Chun Wong |
| 2023 | EMNLP | EARA: Improving Biomedical Semantic Textual Similarity with Entity-Aligned Attention and Retrieval Augmentation. | Ying Xiong, Xin Yang, Linjing Liu, Ka-Chun Wong, Qingcai Chen, Yang Xiang, Buzhou Tang |
| 2022 | AAAI | ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations. | Zhuohan Yu, Yifu Lu, Yunhe Wang, Fan Tang, Ka-Chun Wong, Xiangtao Li |
| 2021 | ICONIP | Metric Learning Based Vision Transformer for Product Matching. | Lei Huang, Wei Shao, Fuzhou Wang, Weidun Xie, Ka-Chun Wong |
| 2016 | CEC | A cone order sequence based multi-objective evolutionary algorithm. | Yueming Lyu, Qingfu Zhang, Ka-Chun Wong |
| 2015 | IJCAI | A Scalable Community Detection Algorithm for Large Graphs Using Stochastic Block Models. | Chengbin Peng, Zhihua Zhang, Ka-Chun Wong, Xiangliang Zhang, David E. Keyes |
| 2015 | SMC | Active Learning Based on Single-Hidden Layer Feed-Forward Neural Network. | Ran Wang, Sam Kwong, Qingshan Jiang, Ka-Chun Wong |
| 2015 | SMC | Data Analytics for Protein-DNA Binding Interactions. | Ka-Chun Wong |
| 2014 | ICDM | Exploring Mixed Membership Stochastic Block Models via Non-negative Matrix Factorization. | Chengbin Peng, Ka-Chun Wong |
| 2012 | ICDM | Multiplicative Algorithms for Constrained Non-negative Matrix Factorization. | Chengbin Peng, Ka-Chun Wong, Alyn Rockwood, Xiangliang Zhang, Jinling Jiang, David E. Keyes |
| 2010 | GECCO | Protein structure prediction on a lattice model via multimodal optimization techniques. | Ka-Chun Wong, Kwong-Sak Leung, Man Hon Wong |
| 2009 | GECCO | An evolutionary algorithm with species-specific explosion for multimodal optimization. | Ka-Chun Wong, Kwong-Sak Leung, Man Hon Wong |