Nhan H. Pham - RankMe

20 papers A* 4A 2C 1Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	—	`ed.`	Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching co-located with the 23rd International Semantic Web Conference (ISWC 2024), Baltimore, USA, November 13, 2024. SemTab@ISWC Oktie Hassanzadeh, Nora Abdelmageed, Marco Cremaschi, Vincenzo Cutrona, Fabio D'Adda, Vasilis Efthymiou, Benno Kruit, Elita A. Lobo, Nandana Mihindukulasooriya, Nhan H. Pham
2025	A	`conf`	The Consistency Hypothesis in Uncertainty Quantification for Large Language Models. UAI Quan Xiao, Debarun Bhattacharjya, Balaji Ganesan, Radu Marinescu, Katsiaryna Mirylenka, Nhan H. Pham, Michael R. Glass, Junkyu Lee
2025	J	`jnl`	The Consistency Hypothesis in Uncertainty Quantification for Large Language Models. CoRR Quan Xiao, Debarun Bhattacharjya, Balaji Ganesan, Radu Marinescu, Katsiaryna Mirylenka, Nhan H. Pham, Michael R. Glass, Junkyu Lee
2023	A*	`conf`	Attacking c-MARL More Effectively: A Data Driven Approach. ICDM Nhan H. Pham, Lam M. Nguyen, Jie Chen, Hoang Thanh Lam, Subhro Das, Tsui-Wei Weng
2022	J	`jnl`	A hybrid stochastic optimization framework for composite nonconvex optimization. Math. Program. Quoc Tran-Dinh, Nhan H. Pham, Dzung T. Phan, Lam M. Nguyen
2022	J	`jnl`	Evaluating Robustness of Cooperative MARL: A Model-based Approach. CoRR Nhan H. Pham, Lam M. Nguyen, Jie Chen, Hoang Thanh Lam, Subhro Das, Tsui-Wei Weng
2021	A*	`conf`	FedDR - Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization. NeurIPS Quoc Tran-Dinh, Nhan H. Pham, Dzung T. Phan, Lam M. Nguyen
2021	J	`jnl`	Federated Learning with Randomized Douglas-Rachford Splitting Methods. CoRR Nhan H. Pham, Lam M. Nguyen, Dzung T. Phan, Quoc Tran-Dinh
2021	—	`—`	New stochastic and Randomized Algorithms for Nonconvex Optimization in Machine Learning. Nhan H. Pham
2021	C	`conf`	Regression Optimization for System-level Production Control. ACC Dzung T. Phan, Lam M. Nguyen, Pavankumar Murali, Nhan H. Pham, Hongsheng Liu, Jayant R. Kalagnanam
2020	A	`conf`	A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning. AISTATS Nhan H. Pham, Lam M. Nguyen, Dzung T. Phan, Phuong Ha Nguyen, Marten van Dijk, Quoc Tran-Dinh
2020	J	`jnl`	A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning. CoRR Nhan H. Pham, Lam M. Nguyen, Dzung T. Phan, Phuong Ha Nguyen, Marten van Dijk, Quoc Tran-Dinh
2020	J	`jnl`	Finite-Time Analysis of Stochastic Gradient Descent under Markov Randomness. CoRR Thinh T. Doan, Lam M. Nguyen, Nhan H. Pham, Justin Romberg
2020	J	`jnl`	ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization. J. Mach. Learn. Res. Nhan H. Pham, Lam M. Nguyen, Dzung T. Phan, Quoc Tran-Dinh
2020	A*	`conf`	Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization. ICML Quoc Tran-Dinh, Nhan H. Pham, Lam M. Nguyen
2019	J	`jnl`	A Hybrid Stochastic Optimization Framework for Stochastic Composite Nonconvex Optimization. CoRR Quoc Tran-Dinh, Nhan H. Pham, Dzung T. Phan, Lam M. Nguyen
2019	J	`jnl`	Automated robotic monitoring and inspection of steel structures and bridges. Robotica Hung Manh La, Tran Hiep Dinh, Nhan H. Pham, Quang Phuc Ha, Anh Quyen Pham
2019	J	`jnl`	ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization. CoRR Nhan H. Pham, Lam M. Nguyen, Dzung T. Phan, Quoc Tran-Dinh
2017	A*	`conf`	Autonomous robotic system using non-destructive evaluation methods for bridge deck inspection. ICRA Tuan Le, Spencer Gibb, Nhan H. Pham, Hung Manh La, Logan Falk, Tony Berendsen
2016	—	`conf`	Design and implementation of an autonomous robot for steel bridge inspection. Allerton Nhan H. Pham, Hung M. La