A 240mW 2.1GS/s 12b pipeline ADC using MDAC equalization. - Jiangfeng Wu; Chun-Ying Chen; Tianwei Li; Wenbo Liu; Lin He 006; Shauhyuarn Sean Tsai; Binning Chen; Chun-Sheng Huang; Juo-Jung Hung; Wei-Ta Shih; Hing T. Hung; Steven Jaffe; et al. (CICC, 2012)

A 240-mW 2.1-GS/s 52-dB SNDR Pipeline ADC Using MDAC Equalization. - Jiangfeng Wu; Chun-Ying Chen; Tianwei Li; Lin He 006; Wenbo Liu; Wei-Ta Shih; Shauhyuarn Sean Tsai; Binning Chen; Chun-Sheng Huang; Bryan Juo-Jung Hung; Hing T. Hung; Steven Jaffe; et al. (IEEE J. Solid State Circuits, 2013)

Adaptive cascade threshold learning from negative samples for deformable part models. - Khoa Pho; Hung Vu; Bac Le (ICIP, 2017)

Deep Abnormality Detection in Video Data. - Hung Vu (IJCAI, 2017)

Dual Discriminator Generative Adversarial Nets. - Tu Dinh Nguyen; Trung Le 001; Hung Vu; Dinh Q. Phung (NIPS, 2017)

Energy-Based Localized Anomaly Detection in Video Surveillance. - Hung Vu; Tu Dinh Nguyen; Anthony Travers; Svetha Venkatesh; Dinh Q. Phung (PAKDD (1), 2017)

Energy-based Models for Video Anomaly Detection. - Hung Vu; Dinh Q. Phung; Tu Dinh Nguyen; Anthony Trevors; Svetha Venkatesh (CoRR, 2017)

Batch Normalized Deep Boltzmann Machines. - Hung Vu; Tu Dinh Nguyen; Trung Le 001; Wei Luo 001; Dinh Q. Phung (ACML, 2018)

Geometric Enclosing Networks. - Trung Le 001; Hung Vu; Tu Dinh Nguyen; Dinh Q. Phung (IJCAI, 2018)

Detection of Unknown Anomalies in Streaming Videos with Generative Energy-based Boltzmann Models. - Hung Vu; Tu Dinh Nguyen; Dinh Q. Phung (CoRR, 2018)

Robust Anomaly Detection in Videos Using Multilevel Representations. - Hung Vu; Tu Dinh Nguyen; Trung Le 001; Wei Luo 001; Dinh Q. Phung (AAAI, 2019)

Learning Generative Adversarial Networks from Multiple Data Sources. - Trung Le 001; Quan Hoang; Hung Vu; Tu Dinh Nguyen; Hung Bui 001; Dinh Q. Phung (IJCAI, 2019)

Efficient Graph Classification via Graph Encoding Networks. - Tuyen-Thanh-Thi Ho; Hung Vu; Bac Le (RIVF, 2020)

Monetising Resources on a SoLiD Pod Using Blockchain Transactions. - Hendrik Becker; Hung Vu; Anett Katzenbach; Christoph H.-J. Braun; Tobias Käfer (ESWC (Satellite Events), 2021)

Shapley-based graph explanation in embedding space. - Tuyen-Thanh-Thi Ho; Tu Huynh; Hung Vu; Bac Le (Knowl. Based Syst., 2024)

SEMISE: Semi-Supervised Learning for Severity Representation in Medical Image. - Dung T. Tran; Hung Vu; Anh Tran; Tuan Hoang; Hieu Pham; Hong Nguyen; Nam-Phong Nguyen (ISBI, 2025)

Semise: Semi-supervised learning for severity representation in medical image. - Dung T. Tran; Hung Vu; Anh Tran; Hieu Pham; Hong Nguyen; Phong Nguyen (CoRR, 2025)