Duy Nhat Phan - RankMe

26 papers C 1Journal 24Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Advanced predictive quality assessment for ultrasonic additive manufacturing with deep learning model. J. Intell. Manuf. Lokendra Poudel, Sushant Jha, Ryan Meeker, Duy Nhat Phan, Rahul Bhowmik
2026	J	`jnl`	Dynamic Theory of Mind as a Temporal Memory Problem: Evidence from Large Language Models. CoRR Thuy Ngoc Nguyen, Duy Nhat Phan, Cleotilde Gonzalez
2025	J	`jnl`	A Linearized Alternating Direction Multiplier Method for Federated Matrix Completion Problems. CoRR Patrick Hytla, Tran Thai An Nghia, Duy Nhat Phan, Andrew Rice
2025	J	`jnl`	A machine learning platform for development of low flammability polymers. CoRR Duy Nhat Phan, Alexander B. Morgan, Lokendra Poudel, Rahul Bhowmik
2025	J	`jnl`	Deep Learning-Enhanced for Amine Emission Monitoring and Performance Analysis in Industrial Carbon Capture Plants. CoRR Lokendra Poudel, David Tincher, Duy Nhat Phan, Rahul Bhowmik
2025	C	`conf`	Federated Boolean Matrix Factorization Using Integer Programming. ICMLA Duy Nhat Phan, Quynh Anh Nguyen, Thuy Ngoc Nguyen
2025	J	`jnl`	Federated learning with randomized alternating direction method of multipliers and application in training neural networks. Neural Networks Duy Nhat Phan, Patrick Hytla, Andrew Rice, Thuy Ngoc Nguyen
2025	J	`jnl`	Solution Uniqueness of Convex Optimization Problems via the Radial Cone. J. Optim. Theory Appl. Jalal Fadili, Tran Thai An Nghia, Duy Nhat Phan
2024	J	`jnl`	Advanced Predictive Quality Assessment for Ultrasonic Additive Manufacturing with Deep Learning Model. CoRR Lokendra Poudel, Sushant Jha, Ryan Meeker, Duy Nhat Phan, Rahul Bhowmik
2024	J	`jnl`	Difference-of-Convex Algorithm with Extrapolation for Nonconvex, Nonsmooth Optimization Problems. Math. Oper. Res. Duy Nhat Phan, Hoai An Le Thi
2024	J	`jnl`	Scalable AI Framework for Defect Detection in Metal Additive Manufacturing. CoRR Duy Nhat Phan, Sushant Jha, James P. Mavo, Erin L. Lanigan, Linh Nguyen, Lokendra Poudel, Rahul Bhowmik
2023	J	`jnl`	An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization. J. Mach. Learn. Res. Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis
2023	J	`jnl`	Geometric characterizations for strong minima with applications to nuclear norm minimization problems. CoRR Jalal Fadili, Tran Thai An Nghia, Duy Nhat Phan
2023	J	`jnl`	Learning in Cooperative Multiagent Systems Using Cognitive and Machine Models. CoRR Thuy-Ngoc Nguyen, Duy Nhat Phan, Cleotilde Gonzalez
2023	J	`jnl`	Learning in Cooperative Multiagent Systems Using Cognitive and Machine Models. ACM Trans. Auton. Adapt. Syst. Thuy Ngoc Nguyen, Duy Nhat Phan, Cleotilde Gonzalez
2022	J	`jnl`	Block Bregman Majorization Minimization with Extrapolation. SIAM J. Math. Data Sci. Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis, Masoud Ahookhosh, Panagiotis Patrinos
2022	J	`jnl`	Inertial alternating direction method of multipliers for non-convex non-smooth optimization. Comput. Optim. Appl. Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis
2021	J	`jnl`	A Framework of Inertial Alternating Direction Method of Multipliers for Non-Convex Non-Smooth Optimization. CoRR Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis
2021	J	`jnl`	An accelerated IRNN-Iteratively Reweighted Nuclear Norm algorithm for nonconvex nonsmooth low-rank minimization problems. J. Comput. Appl. Math. Duy Nhat Phan, Thuy Ngoc Nguyen
2021	J	`jnl`	Block Alternating Bregman Majorization Minimization with Extrapolation. CoRR Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis, Masoud Ahookhosh, Panagiotis Patrinos
2021	J	`jnl`	DCA based approaches for bi-level variable selection and application for estimate multiple sparse covariance matrices. Neurocomputing Hoai An Le Thi, Duy Nhat Phan, Tao Pham Dinh
2021	J	`jnl`	Novel DCA based algorithms for a special class of nonconvex problems with application in machine learning. Appl. Math. Comput. Hoai An Le Thi, Hoai Minh Le, Duy Nhat Phan, Bach Tran
2021	J	`jnl`	SpeedyIBL: A Solution to the Curse of Exponential Growth in Instance-Based Learning Models of Decisions from Experience. CoRR Thuy Ngoc Nguyen, Duy Nhat Phan, Cleotilde Gonzalez
2020	J	`jnl`	An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization. CoRR Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis
2020	J	`jnl`	Stochastic DCA for minimizing a large sum of DC functions with application to multi-class logistic regression. Neural Networks Hoai An Le Thi, Hoai Minh Le, Duy Nhat Phan, Bach Tran
2017	—	`conf`	Stochastic DCA for Sparse Multiclass Logistic Regression. ICCSAMA Hoai An Le Thi, Hoai Minh Le, Duy Nhat Phan, Bach Tran