Dung Nguyen

Publication Activity (10 Years)

Years Active: 1984-2024
Publications (10 Years): 57

Top Topics

Differentially Private

Emotion Recognition

Linear Fractional

Top Venues

Publications

Vuong D. Nguyen, Khadija Khaldi, Dung Nguyen, Pranav Mantini, Shishir K. Shah
Contrastive Viewpoint-aware Shape Learning for Long-term Person Re-Identification. WACV (2024)
Dung Nguyen, Gang Zhang, Hujie Pan, Xiaolin Hu
nuScenesComplex: A More Rigorous Evaluation Framework for End-to-End Autonomous Driving Planning. ISNN (2024)
Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
Revisiting the Dataset Bias Problem from a Statistical Perspective. CoRR (2024)
Kien Do, Duc Kieu, Toan Nguyen, Dang Nguyen, Hung Le, Dung Nguyen, Thin Nguyen
Variational Flow Models: Flowing in Your Style. CoRR (2024)
Dung Nguyen, Van-Dung Hoang, Van-Tuong-Lan Le
V-DETR: Pure Transformer for End-to-End Object Detection. ACIIDS (2) (2024)
Lauri Rannaste, Anni Ranta-Lassila, Aleksi Leinonen, Dung Nguyen, Mohammad H. Behfar, Alexey Popov
Sustainable Optofluidic Patch Concept for Continuous Monitoring of Health. MeMeA (2024)
Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training. IJCAI (2023)
Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
Memory-Augmented Theory of Mind Network. AAAI (2023)
Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh
Intrinsic Motivation via Surprise Memory. CoRR (2023)
Tien-Phat Nguyen, Trong-Thang Pham, Tri Nguyen, Hieu Le, Dung Nguyen, Hau Lam, Phong Nguyen, Jennifer Fowler, Minh-Triet Tran, Ngan Le
EmbryosFormer: Deformable Transformer and Collaborative Encoding-Decoding for Embryos Stage Development Classification. WACV (2023)
Mohammad H. Behfar, Elina Jansson, Kaisa-Leena Väisänen, Dung Nguyen, Timo Niemirepo, Jari Rekilä, Mikko Hietala, Teemu Alajoki
A Conformal Wearable Multi-Lead ECG Patch: Design for Roll-to-Roll Manufacturing. BioCAS (2023)
Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
Memory-Augmented Theory of Mind Network. CoRR (2023)
Linh Trinh, Phuong Pham, Hoang Trinh, Nguyen Bach, Dung Nguyen, Giang Nguyen, Huy Nguyen
PP4AV: A benchmarking Dataset for Privacy-preserving Autonomous Driving. WACV (2023)
Dung Nguyen, Colm Mc Caffrey, Olli Silvén, Martin Kögler
Physically Flexible Ultralow-Power Wireless Sensor. IEEE Trans. Instrum. Meas. 71 (2022)
Hung Le, Majid Abdolshah, Thommen K. George, Kien Do, Dung Nguyen, Svetha Venkatesh
Episodic Policy Gradient Training. AAAI (2022)
Hung Le, Thommen George Karimpanal, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh
Memory-Constrained Policy Optimization. CoRR (2022)
Dung Nguyen, Yan Zhao, Yifan Zhang, Anh Ngoc-Lan Huynh, Fred Roosta, Graeme L. Hammer, Scott C. Chapman, Andries B. Potgieter
Crop Type Prediction Utilising a Long Short-Term Memory with a Self-Attention for Winter Crops in Australia. IGARSS (2022)
Mohamed S. Mohamed, Dung Nguyen, Anil Vullikanti, Ravi Tandon
Differentially Private Community Detection for Stochastic Block Models. ICML (2022)
Sachin Rangarajan, Young Lee, Vinith Johnson, Kaelan Schorger, Hanmin Lee, Dung Nguyen, Mohammad H. Behfar, Elina Jansson, Jari Rekilä, Jussi Hiltunen, Eric Vin, Katia Obraczka
A Novel IoT System For Patient-Centric Pressure Ulcer Prevention Using Sensor Embedded Dressings. PerCom Workshops (2022)
Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh
Towards Effective and Robust Neural Trojan Defenses via Input Filtering. CoRR (2022)
Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. CoRR (2022)
Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
Learning Theory of Mind via Dynamic Traits Attribution. AAMAS (2022)
Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. NeurIPS (2022)
Mohamed Seif, Dung Nguyen, Anil Vullikanti, Ravi Tandon
Differentially Private Community Detection for Stochastic Block Models. CoRR (2022)
Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
Learning Theory of Mind via Dynamic Traits Attribution. CoRR (2022)
Dung Nguyen, Phuoc Nguyen, Svetha Venkatesh, Truyen Tran
Learning to Transfer Role Assignment Across Team Sizes. CoRR (2022)
Dung Nguyen, Duc Thanh Nguyen, Rui Zeng, Thanh Thi Nguyen, Son N. Tran, Thin Nguyen, Sridha Sridharan, Clinton Fookes
Deep Auto-Encoders With Sequential Learning for Multimodal Dimensional Emotion Recognition. IEEE Trans. Multim. 24 (2022)
Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh
Towards Effective and Robust Neural Trojan Defenses via Input Filtering. ECCV (5) (2022)
Dung Nguyen, Eric Henderson, Yu Wei
PRISM: A decision support system for forest planning. Environ. Model. Softw. 157 (2022)
George Z. Li, Dung Nguyen, Anil Vullikanti
Differentially Private Partial Set Cover with Applications to Facility Location. CoRR (2022)
Thai Hung Le, Thommen Karimpanal George, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh
Learning to Constrain Policy Optimization with Virtual Trust Region. NeurIPS (2022)
Dung Nguyen, Phuoc Nguyen, Svetha Venkatesh, Truyen Tran
Learning to Transfer Role Assignment Across Team Sizes. AAMAS (2022)
Tien-Phat Nguyen, Trong-Thang Pham, Tri Nguyen, Hieu Le, Dung Nguyen, Hau Lam, Phong Nguyen, Jennifer Fowler, Minh-Triet Tran, Ngan Le
EmbryosFormer: Deformable Transformer and Collaborative Encoding-Decoding for Embryos Stage Development Classification. CoRR (2022)
Khoa Nguyen, Nghia Vu, Dung Nguyen, Khoat Than
Random Generative Adversarial Networks. SoICT (2022)
Dung Nguyen, Anil Vullikanti
Differentially Private Densest Subgraph Detection. ICML (2021)
Dung Nguyen, Anil Vullikanti
Differentially Private Densest Subgraph Detection. CoRR (2021)
Hung Le, Majid Abdolshah, Thommen K. George, Kien Do, Dung Nguyen, Svetha Venkatesh
Episodic Policy Gradient Training. CoRR (2021)
Adam Sadilek, Luyang Liu, Dung Nguyen, Methun Kamruzzaman, Stylianos Serghiou, Benjamin Rader, Alex Ingerman, Stefan Mellem, Peter Kairouz, Elaine O. Nsoesie, Jamie Macfarlane, Anil Vullikanti, Madhav V. Marathe, Paul Eastham, John S. Brownstein, Blaise Agüera y Arcas, Michael D. Howell, John Hernandez
Privacy-first health research with federated learning. npj Digit. Medicine 4 (2021)
In Seop Na, Chung Tran, Dung Nguyen, Sang Dinh
Facial UV map completion for pose-invariant face recognition: a novel adversarial approach based on coupled attention residual UNets. Hum. centric Comput. Inf. Sci. 10 (2020)
Thanh-Dat Truong, Chi Nhan Duong, Kha Gia Quach, Dung Nguyen, Ngan Le, Khoa Luu, Tien D. Bui
Beyond Disentangled Representations: An Attentive Angular Distillation Approach to Large-scale Lightweight Age-Invariant Face Recognition. CoRR (2020)
In Seop Na, Chung Tran, Dung Nguyen, Sang Dinh
Facial UV Map Completion for Pose-invariant Face Recognition: A Novel Adversarial Approach based on Coupled Attention Residual UNets. CoRR (2020)
Hong Anh Le, Bao Ngoc Dinh, Dung Nguyen
Design and Implementation of a Real-Time Web Service for Monitoring Soil Moisture and Landslide in Lai Chau Province, Viet Nam. ICCASA/ICTCC (2020)
Dung Nguyen, Sridha Sridharan, Duc Thanh Nguyen, Simon Denman, David Dean, Clinton Fookes
Meta Transfer Learning for Emotion Recognition. CoRR (2020)
Shikha Singh, Sergey Madaminov, Michael A. Bender, Michael Ferdman, Ryan Johnson, Benjamin Moseley, Hung Q. Ngo, Dung Nguyen, Soeren Olesen, Kurt Stirewalt, Geoffrey Washburn
A Scheduling Approach to Incremental Maintenance of Datalog Programs. IPDPS (2020)
Dung Nguyen, Duc Thanh Nguyen, Rui Zeng, Thanh Thi Nguyen, Son N. Tran, Thin Nguyen, Sridha Sridharan, Clinton Fookes
Deep Auto-Encoders with Sequential Learning for Multimodal Dimensional Emotion Recognition. CoRR (2020)
Dung Nguyen, Sridha Sridharan, Duc Thanh Nguyen, Simon Denman, Son N. Tran, Rui Zeng, Clinton Fookes
Joint Deep Cross-Domain Transfer Learning for Emotion Recognition. CoRR (2020)
Son N. Tran, Dung Nguyen, Ngo Tung Son, Xuan-Son Vu, Long Hoang, Qing Zhang, Mohan Karunanithi
On multi-resident activity recognition in ambient smart-homes. Artif. Intell. Rev. 53 (6) (2020)
Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran
Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning. ACML (2020)
Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran
Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning. CoRR (2020)
Yao-Hsiang Yang, Adam Duracz, Ferenc A. Bartha, Ryuichi Sai, Ahsan Pervaiz, Saeid Barati, Dung Nguyen, Robert Cartwright, Henry Hoffmann, Krishna V. Palem
Language Support for Adaptation: Intent-Driven Programming in FAST. CoRR (2019)
Saeid Barati, Ferenc A. Bartha, Swarnendu Biswas, Robert Cartwright, Adam Duracz, Donald S. Fussell, Henry Hoffmann, Connor Imes, Jason E. Miller, Nikita Mishra, Arvind, Dung Nguyen, Krishna V. Palem, Yan Pei, Keshav Pingali, Ryuichi Sai, Andrew Wright, Yao-Hsiang Yang, Sizhuo Zhang
Proteus: Language and Runtime Support for Self-Adaptive Software Development. IEEE Softw. 36 (2) (2019)
Aishwarya Srivastava, Dung Nguyen, Siddhant Aggarwal, André Luckow, Edward B. Duffy, Ken Kennedy, Marcin Ziolkowski, Amy W. Apon
Performance and Memory Trade-offs of Deep Learning Object Detection in Fast Streaming High-Definition Images. IEEE BigData (2018)
Dung Nguyen, André Luckow, Edward B. Duffy, Ken Kennedy, Amy W. Apon
Evaluation of Highly Available Cloud Streaming Systems for Performance and Price. CCGrid (2018)
Yanyan Li, Dung Nguyen, Mengjun Xie
EZSetup: A Novel Tool for Cybersecurity Practices Utilizing Cloud Resources. SIGITE (2017)
Ty Nguyen, Dung Nguyen, Tsz-Chiu Au
Learning of vehicular performance models for longitudinal motion planning to satisfy arrival requirements. IROS (2017)
Dung Nguyen, Phu H. Phung
A Reliable and Efficient Wireless Sensor Network System for Water Quality Monitoring. Intelligent Environments (2017)
Kelvin Cheng, Liang He, Xiaojun Meng, David A. Shamma, Dung Nguyen, Anbarasan Thangapalam
CozyMaps: Real-time Collaboration on a Shared Map with Multiple Displays. MobileHCI (2015)
Dung Nguyen
Asymptotic behavior of linear fractional stochastic differential equations with time-varying delays. Commun. Nonlinear Sci. Numer. Simul. 19 (1) (2014)
Janet Roveda, Dung Nguyen, Linda S. Powers, Kui Ren, Jerrie Fairbanks
Effective signal region based analog mixed signal design considering variations and applications. SoCC (2013)
Jon David Patrick, Pooyan Asgari, Min Li, Dung Nguyen
Using NLP to identify cancer cases in imaging reports drawn from radiology information systems. HIC (2013)
Dung Nguyen, Kui Ren, Janet Roveda
A new data acquisition design for breast cancer detection system. SoCC (2013)
Dung Nguyen, Jon David Patrick
Reverse Active Learning for Optimising Information Extraction Training Production. Australasian Conference on Artificial Intelligence (2012)
Jon David Patrick, Dung Nguyen, Tingxin Wang, Richard Paoloni
Computational recognition of SNOMED CT codes from ED case notes. HIC (2012)
Jon David Patrick, Dung Nguyen
Automated Proof Reading of Clinical Notes. PACLIC (2011)
Dung Nguyen, Lei Shi
Competitive Advertising Strategies and Market-Size Dynamics: A Research Note on Theory and Evidence. Manag. Sci. 52 (6) (2006)
Dung Nguyen, Nick Ivanov, Aamer Aziz, Wieslaw Lucjan Nowinski
A digital atlas of the human orbit: atlas construction and atlas-to-data registration. CARS (2003)
Dung Nguyen
Design patterns for data structures. SIGCSE (1998)
Khue Nguyen, Daniel A. Menascé, Dung Nguyen
Performance Modeling of a Unix Communications Server. Int. CMG Conference (1997)
Dung Nguyen
The Monopolistic Firm, Random Demand, and Bayesian Learning. Oper. Res. 32 (5) (1984)