Metric Learning Based Vision Transformer for Product Matching. - Lei Huang; Wei Shao 009; Fuzhou Wang; Weidun Xie; Ka-Chun Wong (ICONIP (1), 2021)

SG-LSTM-FRAME: a computational frame using sequence and geometrical information via LSTM to predict miRNA-gene associations. - Weidun Xie; Jiawei Luo 001; Chu Pan; Ying Liu 027 (Briefings Bioinform., 2021)

SRG-Vote: Predicting Mirna-Gene Relationships via Embedding and LSTM Ensemble. - Weidun Xie; Zetian Zheng; Weitong Zhang; Lei Huang; Qiuzhen Lin; Ka-Chun Wong (IEEE J. Biomed. Health Informatics, 2022)

Subclass-Specific Prognosis and Treatment Efficacy Inference in Head and Neck Squamous Carcinoma. - Zetian Zheng; Weidun Xie; Xingjian Chen; Fuzhou Wang; Lei Huang; Xiangtao Li; Qiuzhen Lin; Ka-Chun Wong (IEEE J. Biomed. Health Informatics, 2022)

DiffDTM: A conditional structure-free framework for bioactive molecules generation targeted for dual proteins. - Lei Huang; Zheng Yuan 002; Huihui Yan; Rong Sheng; Linjing Liu; Fuzhou Wang; Weidun Xie; Nanjun Chen; Fei Huang 002; Songfang Huang; Ka-Chun Wong; Yaoyun Zhang (CoRR, 2023)

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 (ICONIP (5), 2024)

HE2Gene: image-to-RNA translation via multi-task learning for spatial transcriptomics data. - Xingjian Chen; Jiecong Lin; Yuchen Wang; Weitong Zhang; Weidun Xie; Zetian Zheng; Ka-Chun Wong (Bioinform., 2024)

DeepSeq2Drug: An expandable ensemble end-to-end anti-viral drug repurposing benchmark framework by multi-modal embeddings and transfer learning. - Weidun Xie; Jixiang Yu; Lei Huang; Lek Shyuen For; Zetian Zheng; Xingjian Chen; Yuchen Wang; Zhichao Liu; Chengbin Peng 001; Ka-Chun Wong (Comput. Biol. Medicine, 2024)

A Unified Conditional Diffusion Framework for Dual Protein Targets-Based Bioactive Molecule Generation. - Lei Huang; Zheng Yuan 002; Huihui Yan; Rong Sheng; Linjing Liu; Fuzhou Wang; Weidun Xie; Nanjun Chen; Fei Huang 002; Songfang Huang; Ka-Chun Wong; Yaoyun Zhang (IEEE Trans. Artif. Intell., 2024)

DDintensity: Addressing imbalanced drug-drug interaction risk levels using pre-trained deep learning model embeddings. - Weidun Xie; Xingjian Chen; Lei Huang; Zetian Zheng; Yuchen Wang; Ruoxuan Zhang; Xiao Zhang; Zhichao Liu; Chengbin Peng 001; Monika Gullerova; Ka-Chun Wong (Artif. Intell. Medicine, 2025)

Directed Link Prediction Using GNN With Local and Global Feature Fusion. - Yuyang Zhang; Xu Shen 002; Yu Xie; Ka-Chun Wong; Weidun Xie; Chengbin Peng 001 (IEEE Trans. Netw. Sci. Eng., 2025)