Duc Thien Nguyen

38 papers A* 6A 7Misc 1Journal 14Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Estimating Dynamic Graph Flows with Kernel Models and Hadamard-Structured Riemannian Constraints. APSIPA Duc Thien Nguyen, Konstantinos Slavakis, Dimitris Pados
2025	J	`jnl`	Imputation of time-varying edge flows in graphs by multilinear kernel regression and manifold learning. Signal Process. Duc Thien Nguyen, Konstantinos Slavakis, Dimitris Pados
2025	J	`jnl`	Kernel Regression of Multi-Way Data via Tensor Trains with Hadamard Overparametrization: The Dynamic Graph Flow Case. CoRR Duc Thien Nguyen, Konstantinos Slavakis, Eleftherios Kofidis, Dimitris Pados
2025	—	`conf`	Mastering the Craft of Data Synthesis for CodeLLMs. NAACL (Long Papers) Meng Chen, Philip Arthur, Qianyu Feng, Cong Duy Vu Hoang, Yu-Heng Hong, Mahdi Kazemi Moghaddam, Omid Nezami, Duc Thien Nguyen, Gioacchino Tangari, Duy Vu, Thanh Vu, Mark Johnson, Krishnaram Kenthapadi, Don Dharmasiri, Long Duong, Yuan-Fang Li
2025	J	`jnl`	Model-Free Adversarial Purification via Coarse-To-Fine Tensor Network Representation. CoRR Guang Lin, Duc Thien Nguyen, Zerui Tao, Konstantinos Slavakis, Toshihisa Tanaka, Qibin Zhao
2024	J	`jnl`	Imputation of Time-varying Edge Flows in Graphs by Multilinear Kernel Regression and Manifold Learning. CoRR Duc Thien Nguyen, Konstantinos Slavakis, Dimitris Pados
2024	Misc	`conf`	Multi-Linear Kernel Regression and Imputation VIA Manifold Learning: the Dynamic MRI Case. ICASSP Duc Thien Nguyen, Konstantinos Slavakis
2024	J	`jnl`	Multilinear Kernel Regression and Imputation via Manifold Learning. CoRR Duc Thien Nguyen, Konstantinos Slavakis
2023	—	`conf`	Fast Temporal Wavelet Graph Neural Networks. NeurReps Duc Thien Nguyen, Manh Duc Tuan Nguyen, Truong Son Hy, Risi Kondor
2023	J	`jnl`	Fast Temporal Wavelet Graph Neural Networks. CoRR Duc Thien Nguyen, Manh Duc Tuan Nguyen, Truong Son-Hy, Risi Kondor
2023	J	`jnl`	Multi-Linear Kernel Regression and Imputation in Data Manifolds. CoRR Duc Thien Nguyen, Konstantinos Slavakis
2022	J	`jnl`	Neural-Progressive Hedging: Enforcing Constraints in Reinforcement Learning with Stochastic Programming. CoRR Supriyo Ghosh, Laura Wynter, Shiau Hong Lim, Duc Thien Nguyen
2022	A	`conf`	Neural-progressive hedging: Enforcing constraints in reinforcement learning with stochastic programming. UAI Supriyo Ghosh, Laura Wynter, Shiau Hong Lim, Duc Thien Nguyen
2021	J	`jnl`	Probabilistic Inference for Learning from Untrusted Sources. CoRR Duc Thien Nguyen, Shiau Hong Lim, Laura Wynter, Desmond Cai
2020	—	`conf`	Variational Bayesian Inference for Crowdsourcing Predictions. CDC Desmond Cai, Duc Thien Nguyen, Shiau Hong Lim, Laura Wynter
2020	J	`jnl`	Variational Bayesian Inference for Crowdsourcing Predictions. CoRR Desmond Cai, Duc Thien Nguyen, Shiau Hong Lim, Laura Wynter
2019	J	`jnl`	Distributed Gibbs: A Linear-Space Sampling-Based DCOP Algorithm. J. Artif. Intell. Res. Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau, Roie Zivan
2019	A*	`conf`	Improving Law Enforcement Daily Deployment Through Machine Learning-Informed Optimization under Uncertainty. IJCAI Jonathan Chase, Duc Thien Nguyen, Haiyang Sun, Hoong Chuin Lau
2019	A*	`conf`	Multiagent Decision Making For Maritime Traffic Management. AAAI Arambam James Singh, Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau
2018	A*	`conf`	Credit Assignment For Collective Multiagent RL With Global Rewards. NeurIPS Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau
2018	J	`jnl`	Policy Gradient With Value Function Approximation For Collective Multiagent Planning. CoRR Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau
2017	A*	`conf`	Collective Multiagent Sequential Decision Making Under Uncertainty. AAAI Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau
2017	—	`conf`	Policy Gradient With Value Function Approximation For Collective Multiagent Planning. NIPS Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau
2016	A	`conf`	Approximate Inference Using DC Programming For Collective Graphical Models. AISTATS Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau, Daniel Sheldon
2016	J	`jnl`	Robotic Teaching Assistance for the "Tower of Hanoi" Problem. Int. J. Distance Educ. Technol. Duc Thien Nguyen, Annalisa Terracina, Luca Iocchi, Massimo Mecella
2015	—	`conf`	Decomposition techniques for urban consolidation problems. CASE Duc Thien Nguyen, Hoong Chuin Lau, Akshat Kumar
2014	A*	`conf`	A Simple Polynomial-Time Randomized Distributed Algorithm for Connected Row Convex Constraints. AAAI T. K. Satish Kumar, Duc Thien Nguyen, William Yeoh, Sven Koenig
2014	—	`conf`	An Empirical Study of Off-Line Configuration and On-Line Adaptation in Operator Selection. LION Zhi Yuan, Stephanus Daniel Handoko, Duc Thien Nguyen, Hoong Chuin Lau
2014	—	`conf`	An auction mechanism for the last-mile deliveries via urban consolidation centre. CASE Stephanus Daniel Handoko, Duc Thien Nguyen, Hoong Chuin Lau
2014	A*	`conf`	Decentralized Multi-Agent Reinforcement Learning in Average-Reward Dynamic DCOPs. AAAI Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau, Shlomo Zilberstein, Chongjie Zhang
2014	A	`conf`	Decentralized multi-agent reinforcement learning in average-reward dynamic DCOPs. AAMAS Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau, Shlomo Zilberstein, Chongjie Zhang
2014	A	`conf`	Mechanisms for arranging ride sharing and fare splitting for last-mile travel demands. AAMAS Shih-Fen Cheng, Duc Thien Nguyen, Hoong Chuin Lau
2014	—	`conf`	Reinforcement learning for adaptive operator selection in memetic search applied to quadratic assignment problem. GECCO (Companion) Stephanus Daniel Handoko, Duc Thien Nguyen, Zhi Yuan, Hoong Chuin Lau
2013	A	`conf`	Distributed Gibbs: a memory-bounded sampling-based DCOP algorithm. AAMAS Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau
2012	—	`conf`	A Mechanism for Organizing Last-Mile Service Using Non-dedicated Fleet. IAT Shih-Fen Cheng, Duc Thien Nguyen, Hoong Chuin Lau
2012	J	`jnl`	Dynamic Stochastic Orienteering Problems for Risk-Aware Applications CoRR Hoong Chuin Lau, William Yeoh, Pradeep Varakantham, Duc Thien Nguyen, HuaXing Chen
2012	A	`conf`	Dynamic Stochastic Orienteering Problems for Risk-Aware Applications. UAI Hoong Chuin Lau, William Yeoh, Pradeep Varakantham, Duc Thien Nguyen, HuaXing Chen
2012	A	`conf`	Stochastic dominance in stochastic DCOPs for risk-sensitive applications. AAMAS Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau