Hung Vu

21 papers A* 5B 1C 1Journal 8Unranked 6
YearRankTypeTitle / Venue / Authors
2026 A* conf
GIIM: Graph-based Learning of Inter- and Intra-view Dependencies for Multi-view Medical Image Diagnosis.
AAAI
Tran Bao Sam, Hung Vu, Trung Kien Dao, Tran Dat Dang, Van Ha Tang, Steven Q. H. Truong
2026 J jnl
GIIM: Graph-based Learning of Inter- and Intra-view Dependencies for Multi-view Medical Image Diagnosis.
CoRR
Tran Bao Sam, Hung Vu, Trung Kien Dao, Tran Dat Dang, Van Ha Tang, Steven Q. H. Truong
2025 — conf
SEMISE: Semi-Supervised Learning for Severity Representation in Medical Image.
ISBI
Dung T. Tran, Hung Vu, Anh Tran, Tuan Hoang, Hieu Pham, Hong Nguyen, Nam-Phong Nguyen
2025 J jnl
Semise: Semi-supervised learning for severity representation in medical image.
CoRR
Dung T. Tran, Hung Vu, Anh Tran, Hieu Pham, Hong Nguyen, Phong Nguyen
2024 J jnl
Shapley-based graph explanation in embedding space.
Knowl. Based Syst.
Tuyen-Thanh-Thi Ho, Tu Huynh, Hung Vu, Bac Le
2021 — conf
Monetising Resources on a SoLiD Pod Using Blockchain Transactions.
ESWC (Satellite Events)
Hendrik Becker, Hung Vu, Anett Katzenbach, Christoph H.-J. Braun, Tobias Käfer
2020 — conf
Efficient Graph Classification via Graph Encoding Networks.
RIVF
Tuyen-Thanh-Thi Ho, Hung Vu, Bac Le
2019 A* conf
Learning Generative Adversarial Networks from Multiple Data Sources.
IJCAI
Trung Le, Quan Hoang, Hung Vu, Tu Dinh Nguyen, Hung Bui, Dinh Q. Phung
2019 A* conf
Robust Anomaly Detection in Videos Using Multilevel Representations.
AAAI
Hung Vu, Tu Dinh Nguyen, Trung Le, Wei Luo, Dinh Q. Phung
2018 C conf
Batch Normalized Deep Boltzmann Machines.
ACML
Hung Vu, Tu Dinh Nguyen, Trung Le, Wei Luo, Dinh Q. Phung
2018 J jnl
Detection of Unknown Anomalies in Streaming Videos with Generative Energy-based Boltzmann Models.
CoRR
Hung Vu, Tu Dinh Nguyen, Dinh Q. Phung
2018 A* conf
Geometric Enclosing Networks.
IJCAI
Trung Le, Hung Vu, Tu Dinh Nguyen, Dinh Q. Phung
2017 B conf
Adaptive cascade threshold learning from negative samples for deformable part models.
ICIP
Khoa Pho, Hung Vu, Bac Le
2017 A* conf
Deep Abnormality Detection in Video Data.
IJCAI
Hung Vu
2017 — conf
Dual Discriminator Generative Adversarial Nets.
NIPS
Tu Dinh Nguyen, Trung Le, Hung Vu, Dinh Q. Phung
2017 J jnl
Dual Discriminator Generative Adversarial Nets.
CoRR
Tu Dinh Nguyen, Trung Le, Hung Vu, Dinh Q. Phung
2017 — conf
Energy-Based Localized Anomaly Detection in Video Surveillance.
PAKDD (1)
Hung Vu, Tu Dinh Nguyen, Anthony Travers, Svetha Venkatesh, Dinh Q. Phung
2017 J jnl
Energy-based Models for Video Anomaly Detection.
CoRR
Hung Vu, Dinh Q. Phung, Tu Dinh Nguyen, Anthony Trevors, Svetha Venkatesh
2017 J jnl
Geometric Enclosing Networks.
CoRR
Trung Le, Hung Vu, Tu Dinh Nguyen, Dinh Q. Phung
2013 J jnl
A 240-mW 2.1-GS/s 52-dB SNDR Pipeline ADC Using MDAC Equalization.
IEEE J. Solid State Circuits
Jiangfeng Wu, Chun-Ying Chen, Tianwei Li, Lin He, Wenbo Liu, Wei-Ta Shih, Shauhyuarn Sean Tsai, Binning Chen, Chun-Sheng Huang, Bryan Juo-Jung Hung, Hing T. Hung, Steven Jaffe, Loke Kun Tan, Hung Vu
2012 — conf
A 240mW 2.1GS/s 12b pipeline ADC using MDAC equalization.
CICC
Jiangfeng Wu, Chun-Ying Chen, Tianwei Li, Wenbo Liu, Lin He, Shauhyuarn Sean Tsai, Binning Chen, Chun-Sheng Huang, Juo-Jung Hung, Wei-Ta Shih, Hing T. Hung, Steven Jaffe, Loke Tan, Hung Vu