An improved artificial immune network for solving construction site layout optimization. - Duc-Quang Vu; Van Truong Nguyen; Xuan Huan Hoang (RIVF, 2016)

Age and Gender Recognition Using Multi-task CNN. - Duc-Quang Vu; Thi-Thu-Trang Phung; Chien-Yao Wang; Jia-Ching Wang (APSIPA, 2019)

Self-Supervised Learning for Action Recognition by Video Denoising. - Thi-Thu-Trang Phung; Thi Hong Thu Ma; Van Truong Nguyen; Duc-Quang Vu (RIVF, 2021)

A Novel Self-Knowledge Distillation Approach with Siamese Representation Learning for Action Recognition. - Duc-Quang Vu; Thi-Thu-Trang Phung; Jia-Ching Wang (VCIP, 2021)

Teaching Yourself: A Self-Knowledge Distillation Approach to Action Recognition. - Duc-Quang Vu; Ngan Le; Jia-Ching Wang (IEEE Access, 2021)

Deep Models for Mispronounce Prediction for Vietnamese Learners of English. - Trang Phung; Duc-Quang Vu; Ha Mai-Tan; Le Thi Nhung (FDSE (CCIS Volume), 2022)

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)

(2+1)D Distilled ShuffleNet: A Lightweight Unsupervised Distillation Network for Human Action Recognition. - Duc-Quang Vu; Ngan T. H. Le; Jia-Ching Wang (ICPR, 2022)

A Novel Self-Knowledge Distillation Approach with Siamese Representation Learning for Action Recognition. - Duc-Quang Vu; Trang Phung; Jia-Ching Wang (CoRR, 2022)

Multi-scale Aggregation Network for Speech Emotion Recognition. - An Dang; Ha My Linh; Duc-Quang Vu (CSoNet, 2023)

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

Streamflow Prediction in the Mekong River Basin Using Deep Neural Networks. - Thi-Thu-Ha Nguyen; Duc-Quang Vu; Son T. Mai; Thanh Duc Dang (IEEE Access, 2023)

Cyclic Transfer Learning for Mandarin-English Code-Switching Speech Recognition. - Cao Hong Nga; Duc-Quang Vu; Huong Hoang Luong; Chien-Lin Huang; Jia-Ching Wang (IEEE Signal Process. Lett., 2023)

Simultaneous context and motion learning in video prediction. - Duc-Quang Vu; Thi-Thu-Trang Phung (Signal Image Video Process., 2023)

A Lightweight Transformer-Based Model for Fight Recognition. - To Huu Nguyen; Tan-Ha Mai; Duc-Quang Vu (FDSE (2), 2024)

Self-Supervised Learning via Multi-Transformation Classification for Action Recognition. - Duc-Quang Vu; Ngan Le; Jia-Ching Wang (ICME Workshops, 2024)

LCSL: Long-Tailed Classification via Self-Labeling. - Duc-Quang Vu; Trang T. T. Phung; Jia-Ching Wang; Son T. Mai (IEEE Trans. Circuits Syst. Video Technol., 2024)

EEG-SKDNet: A Self-Knowledge Distillation Model With Scaled Weights for Emotion Recognition From EEG Signals. - Duong Thi Mai Thuong; Duc-Quang Vu; Nguyen Phuong Huy; Trung-Nghia Phung (IEEE Access, 2025)

Computing Lightning-Induced Voltages on Overhead Distribution Lines Using the RBF-FDTD Approach. - Duc-Quang Vu; Nhat-Nam Nguyen; Tinh-Minh T. Le; Phan-Tu Vu (IEEE Access, 2025)

MLSS: Mandarin English Code-Switching Speech Recognition via Mutual Learning-Based Semi-Supervised Method. - Cao Hong Nga; Duc-Quang Vu; Phuong Thi Le; Huong Hoang Luong; Jia-Ching Wang (IEEE Signal Process. Lett., 2025)