Single Channel Speech Separation using Enhanced Learning on Embedding Features. - Ha Minh Tan; Jia-Ching Wang (GCCE, 2021)

Selective Mutual Learning: An Efficient Approach for Single Channel Speech Separation. - Ha Minh Tan; Duc-Quang Vu; Chung-Ting Lee; Yung-Hui Li; Jia-Ching Wang (ICASSP, 2022)

Speech Separation Using Augmented-Discrimination Learning on Squash-Norm Embedding Vector and Node Encoder. - Ha Minh Tan; Kai-Wen Liang; Yuan-Shan Lee; Chung-Ting Li; Yung-Hui Li; Jia-Ching Wang (IEEE Access, 2022)

Discriminative Vector Learning with Application to Single Channel Speech Separation. - Ha Minh Tan; Kai-Wen Liang; Jia-Ching Wang (ICASSP, 2023)

Selinet: A Lightweight Model for Single Channel Speech Separation. - Ha Minh Tan; Duc-Quang Vu; Jia-Ching Wang (ICASSP, 2023)

Comparing LSTM Models for Stock Market Prediction: A Case Study with Apple's Historical Prices. - Ha Minh Tan; Le Gia Minh; Tran Cao Minh; Tran Thi Be Quyen; Kien Cao-Van (ICTCC, 2023)

Advancements in Iris Recognition: WAHET-CNN Framework for Accurate Segmentation and Pattern Classification. - Nguyen Kim Quoc; Ha Minh Tan; Dang Nhu Phu; Vuong Xuan Chi; Phan Cong Vinh (EAI Endorsed Trans. Context aware Syst. Appl., 2023)

UGGNet: Bridging U-Net and VGG for Advanced Breast Cancer Diagnosis. - Tran Cao Minh; Nguyen Kim Quoc; Phan Cong Vinh; Dang Nhu Phu; Vuong Xuan Chi; Ha Minh Tan (EAI Endorsed Trans. Context aware Syst. Appl., 2024)

A simulation model to improve the production process for furniture companies: a case study in Vietnam. - Nguyen Van Can; Huynh Thi Thuy Duong; Nguyen Truong Thi; Hoang Luu Hong Anh; Ha Minh Tan (Int. J. Simul. Process. Model., 2024)

Soft-Voting Ensemble Model: An Efficient Learning Approach for Predictive Prostate Cancer Risk. - Kien Cao-Van; Tran Cao Minh; Le Gia Minh; Tran Thi Be Quyen; Ha Minh Tan (Vietnam. J. Comput. Sci., 2024)

Prediction of heart failure using voting ensemble learning models and novel data normalization techniques. - Kien Cao-Van; Le Gia Minh; Tran Cao Minh; Ha Minh Tan (Eng. Appl. Artif. Intell., 2025)