Stochastic dominance in stochastic DCOPs for risk-sensitive applications. - Duc Thien Nguyen; William Yeoh 001; Hoong Chuin Lau (AAMAS, 2012)

A Mechanism for Organizing Last-Mile Service Using Non-dedicated Fleet. - Shih-Fen Cheng; Duc Thien Nguyen; Hoong Chuin Lau (IAT, 2012)

Dynamic Stochastic Orienteering Problems for Risk-Aware Applications. - Hoong Chuin Lau; William Yeoh 001; Pradeep Varakantham; Duc Thien Nguyen; HuaXing Chen (UAI, 2012)

Distributed Gibbs: a memory-bounded sampling-based DCOP algorithm. - Duc Thien Nguyen; William Yeoh 001; Hoong Chuin Lau (AAMAS, 2013)

A Simple Polynomial-Time Randomized Distributed Algorithm for Connected Row Convex Constraints. - T. K. Satish Kumar; Duc Thien Nguyen; William Yeoh 001; Sven Koenig (AAAI, 2014)

Decentralized Multi-Agent Reinforcement Learning in Average-Reward Dynamic DCOPs. - Duc Thien Nguyen; William Yeoh 001; Hoong Chuin Lau; Shlomo Zilberstein; Chongjie Zhang (AAAI, 2014)

Mechanisms for arranging ride sharing and fare splitting for last-mile travel demands. - Shih-Fen Cheng; Duc Thien Nguyen; Hoong Chuin Lau (AAMAS, 2014)

An auction mechanism for the last-mile deliveries via urban consolidation centre. - Stephanus Daniel Handoko; Duc Thien Nguyen; Hoong Chuin Lau (CASE, 2014)

Reinforcement learning for adaptive operator selection in memetic search applied to quadratic assignment problem. - Stephanus Daniel Handoko; Duc Thien Nguyen; Zhi Yuan; Hoong Chuin Lau (GECCO (Companion), 2014)

An Empirical Study of Off-Line Configuration and On-Line Adaptation in Operator Selection. - Zhi Yuan; Stephanus Daniel Handoko; Duc Thien Nguyen; Hoong Chuin Lau (LION, 2014)

Decomposition techniques for urban consolidation problems. - Duc Thien Nguyen; Hoong Chuin Lau; Akshat Kumar (CASE, 2015)

Approximate Inference Using DC Programming For Collective Graphical Models. - Duc Thien Nguyen; Akshat Kumar; Hoong Chuin Lau; Daniel Sheldon (AISTATS, 2016)

Robotic Teaching Assistance for the "Tower of Hanoi" Problem. - Duc Thien Nguyen; Annalisa Terracina; Luca Iocchi; Massimo Mecella (Int. J. Distance Educ. Technol., 2016)

Collective Multiagent Sequential Decision Making Under Uncertainty. - Duc Thien Nguyen; Akshat Kumar; Hoong Chuin Lau (AAAI, 2017)

Policy Gradient With Value Function Approximation For Collective Multiagent Planning. - Duc Thien Nguyen; Akshat Kumar; Hoong Chuin Lau (NIPS, 2017)

Credit Assignment For Collective Multiagent RL With Global Rewards. - Duc Thien Nguyen; Akshat Kumar; Hoong Chuin Lau (NeurIPS, 2018)

Multiagent Decision Making For Maritime Traffic Management. - Arambam James Singh; Duc Thien Nguyen; Akshat Kumar; Hoong Chuin Lau (AAAI, 2019)

Improving Law Enforcement Daily Deployment Through Machine Learning-Informed Optimization under Uncertainty. - Jonathan Chase; Duc Thien Nguyen; Haiyang Sun; Hoong Chuin Lau (IJCAI, 2019)

Distributed Gibbs: A Linear-Space Sampling-Based DCOP Algorithm. - Duc Thien Nguyen; William Yeoh 001; Hoong Chuin Lau; Roie Zivan (J. Artif. Intell. Res., 2019)

Variational Bayesian Inference for Crowdsourcing Predictions. - Desmond Cai; Duc Thien Nguyen; Shiau Hong Lim; Laura Wynter (CDC, 2020)

Probabilistic Inference for Learning from Untrusted Sources. - Duc Thien Nguyen; Shiau Hong Lim; Laura Wynter; Desmond Cai (CoRR, 2021)

Neural-progressive hedging: Enforcing constraints in reinforcement learning with stochastic programming. - Supriyo Ghosh; Laura Wynter; Shiau Hong Lim; Duc Thien Nguyen (UAI, 2022)

Fast Temporal Wavelet Graph Neural Networks. - Duc Thien Nguyen; Manh Duc Tuan Nguyen; Truong Son Hy; Risi Kondor (NeurReps, 2023)

Multi-Linear Kernel Regression and Imputation in Data Manifolds. - Duc Thien Nguyen; Konstantinos Slavakis (CoRR, 2023)

Multi-Linear Kernel Regression and Imputation VIA Manifold Learning: the Dynamic MRI Case. - Duc Thien Nguyen; Konstantinos Slavakis (ICASSP, 2024)

Multilinear Kernel Regression and Imputation via Manifold Learning. - Duc Thien Nguyen; Konstantinos Slavakis (CoRR, 2024)

Mastering the Craft of Data Synthesis for CodeLLMs. - 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 001; et al. (NAACL (Long Papers), 2025)

Imputation of time-varying edge flows in graphs by multilinear kernel regression and manifold learning. - Duc Thien Nguyen; Konstantinos Slavakis; Dimitris Pados (Signal Process., 2025)

Model-Free Adversarial Purification via Coarse-To-Fine Tensor Network Representation. - Guang Lin 002; Duc Thien Nguyen; Zerui Tao; Konstantinos Slavakis; Toshihisa Tanaka 001; Qibin Zhao (CoRR, 2025)