Dzung T. Phan - RankMe

57 papers A* 10A 4B 1C 4Misc 2Journal 33Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Convergence-Guaranteed Elastic Net Graphical Model Estimation with Applications to Anomaly Localization. SDM Dzung T. Phan, Matt Menickelly, Tsuyoshi Idé, Jayant Kalagnanam
2025	J	`jnl`	Toward a Trustworthy Optimization Modeling Agent via Verifiable Synthetic Data Generation. CoRR Vinícius Lima, Dzung T. Phan, Jayant Kalagnanam, Dhaval Patel, Nianjun Zhou
2024	J	`jnl`	Decentralized Collaborative Learning Framework with External Privacy Leakage Analysis. CoRR Tsuyoshi Idé, Dzung T. Phan, Rudy Raymond
2024	A	`conf`	Multi-polytope Machine for Classification. SDM Dzung T. Phan, Lam M. Nguyen, Jayant Kalagnanam, Chandra Reddy
2024	B	`conf`	TabularFM: An Open Framework For Tabular Foundational Models. IEEE Big Data Quan M. Tran, Suong N. Hoang, Lam M. Nguyen, Dzung T. Phan, Hoang Thanh Lam
2024	J	`jnl`	TabularFM: An Open Framework For Tabular Foundational Models. CoRR Quan M. Tran, Suong N. Hoang, Lam M. Nguyen, Dzung T. Phan, Hoang Thanh Lam
2023	J	`jnl`	An End-to-End Time Series Model for Simultaneous Imputation and Forecast. CoRR Trang H. Tran, Lam M. Nguyen, Kyongmin Yeo, Nam Nguyen, Dzung T. Phan, Roman Vaculín, Jayant Kalagnanam
2023	C	`conf`	Optimal Control via Linearizable Deep Learning. ACC Vinícius Lima, Dzung T. Phan, Lam M. Nguyen, Jayant Kalagnanam
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`	AI-Based Real-Time Site-Wide Optimization for Process Manufacturing. INFORMS J. Appl. Anal. Jayant Kalagnanam, Dzung T. Phan, Pavankumar Murali, Lam M. Nguyen, Nianjun Zhou, Dharmashankar Subramanian, Raju Pavuluri, Xiang Ma, Crystal Lui, Giovane Cesar Da Silva
2022	J	`jnl`	Cardinality-Regularized Hawkes-Granger Model. CoRR Tsuyoshi Idé, Georgios Kollias, Dzung T. Phan, Naoki Abe
2022	J	`jnl`	Finite-sum smooth optimization with SARAH. Comput. Optim. Appl. Lam M. Nguyen, Marten van Dijk, Dzung T. Phan, Phuong Ha Nguyen, Tsui-Wei Weng, Jayant R. Kalagnanam
2022	A*	`conf`	Interpretable Clustering via Multi-Polytope Machines. AAAI Connor Lawless, Jayant Kalagnanam, Lam M. Nguyen, Dzung T. Phan, Chandra Reddy
2022	A	`conf`	StepDIRECT - A Derivative-Free Optimization Method for Stepwise Functions. SDM Dzung T. Phan, Hongsheng Liu, Lam M. Nguyen
2021	Misc	`conf`	A Scale Invariant Measure of Flatness for Deep Network Minima. ICASSP Akshay Rangamani, Nam H. Nguyen, Abhishek Kumar, Dzung T. Phan, Sang (Peter) Chin, Trac D. Tran
2021	J	`jnl`	A Unified Convergence Analysis for Shuffling-Type Gradient Methods. J. Mach. Learn. Res. Lam M. Nguyen, Quoc Tran-Dinh, Dzung T. Phan, Phuong Ha Nguyen, Marten van Dijk
2021	A*	`conf`	Cardinality-Regularized Hawkes-Granger Model. NeurIPS Tsuyoshi Idé, Georgios Kollias, Dzung T. Phan, Naoki Abe
2021	A*	`conf`	Ensembling Graph Predictions for AMR Parsing. NeurIPS Thanh Lam Hoang, Gabriele Picco, Yufang Hou, Young-Suk Lee, Lam M. Nguyen, Dzung T. Phan, Vanessa López, Ramón Fernandez Astudillo
2021	J	`jnl`	Ensembling Graph Predictions for AMR Parsing. CoRR Hoang Thanh Lam, Gabriele Picco, Yufang Hou, Young-Suk Lee, Lam M. Nguyen, Dzung T. Phan, Vanessa López, Ramón Fernandez Astudillo
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	J	`jnl`	Interpretable Clustering via Multi-Polytope Machines. CoRR Connor Lawless, Jayant Kalagnanam, Lam M. Nguyen, Dzung T. Phan, Chandra Reddy
2021	J	`jnl`	On the Solution of INFORMS J. Comput. Dzung T. Phan, Matt Menickelly
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	A*	`conf`	A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees. NeurIPS Haoran Zhu, Pavankumar Murali, Dzung T. Phan, Lam M. Nguyen, Jayant Kalagnanam
2020	J	`jnl`	A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees. CoRR Haoran Zhu, Pavankumar Murali, Dzung T. Phan, Lam M. Nguyen, Jayant R. Kalagnanam
2020	J	`jnl`	A Unified Convergence Analysis for Shuffling-Type Gradient Methods. CoRR Lam M. Nguyen, Quoc Tran-Dinh, Dzung T. Phan, Phuong Ha Nguyen, Marten van Dijk
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`	Pruning Deep Neural Networks with $\ell_{0}$-constrained Optimization. ICDM Dzung T. Phan, Lam M. Nguyen, Nam H. Nguyen, Jayant R. Kalagnanam
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`	A Scale Invariant Flatness Measure for Deep Network Minima. CoRR Akshay Rangamani, Nam H. Nguyen, Abhishek Kumar, Dzung T. Phan, Sang H. Chin, Trac D. Tran
2019	A*	`conf`	Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD. ICML Marten van Dijk, Lam M. Nguyen, Phuong Ha Nguyen, Dzung T. Phan
2019	A*	`conf`	Efficient Protocol for Collaborative Dictionary Learning in Decentralized Networks. IJCAI Tsuyoshi Idé, Rudy Raymond, Dzung T. Phan
2019	J	`jnl`	Optimal Finite-Sum Smooth Non-Convex Optimization with SARAH. CoRR Lam M. Nguyen, Marten van Dijk, Dzung T. Phan, Phuong Ha Nguyen, Tsui-Wei Weng, Jayant R. Kalagnanam
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
2018	J	`jnl`	Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD. CoRR Marten van Dijk, Lam M. Nguyen, Phuong Ha Nguyen, Dzung T. Phan
2018	J	`jnl`	When Does Stochastic Gradient Algorithm Work Well? CoRR Lam M. Nguyen, Nam H. Nguyen, Dzung T. Phan, Jayant R. Kalagnanam, Katya Scheinberg
2017	—	`conf`	A Novel l0-Constrained Gaussian Graphical Model for Anomaly Localization. ICDM Workshops Dzung T. Phan, Tsuyoshi Idé, Jayant Kalagnanam, Matt Menickelly, Katya Scheinberg
2017	A*	`conf`	Multi-task Multi-modal Models for Collective Anomaly Detection. ICDM Tsuyoshi Idé, Dzung T. Phan, Jayant Kalagnanam
2016	A*	`conf`	Change Detection Using Directional Statistics. IJCAI Tsuyoshi Idé, Dzung T. Phan, Jayant Kalagnanam
2016	J	`jnl`	Managing uncertainty in electricity generation and demand forecasting. IBM J. Res. Dev. Kevin Warren, Ron F. Ambrosio, Bei Chen, Yuhui Fu, Soumyadip Ghosh, Dzung T. Phan, Mathieu Sinn, Chunhua Tian, Chandu Visweswariah
2016	C	`conf`	Predicting and mitigating congestion for an electric power system under load and renewable uncertainty. ACC Dzung T. Phan, Soumyadip Ghosh
2016	J	`jnl`	Projection algorithms for nonconvex minimization with application to sparse principal component analysis. J. Glob. Optim. William W. Hager, Dzung T. Phan, Jiajie Zhu
2015	—	`conf`	A Resource Supply-Demand based Approach for Automatic MapReduce Job Optimization. HPCC/CSS/ICESS Jinjun Xiong, Dzung T. Phan, David Kung
2015	J	`jnl`	Multi-stage optimization for periodic inspection planning of geo-distributed infrastructure systems. Eur. J. Oper. Res. Dzung T. Phan, Yada Zhu
2014	J	`jnl`	Two-stage stochastic optimization for optimal power flow under renewable generation uncertainty. ACM Trans. Model. Comput. Simul. Dzung T. Phan, Soumyadip Ghosh
2013	J	`jnl`	An exact algorithm for graph partitioning. Math. Program. William W. Hager, Dzung T. Phan, Hongchao Zhang
2012	C	`conf`	A distributed scheme for fair EV charging under transmission constraints. ACC Dzung T. Phan, Jinjun Xiong, Soumyadip Ghosh
2012	—	`conf`	Distributed methods for solving the security-constrained optimal power flow problem. ISGT Dzung T. Phan, Jayant Kalagnanam
2012	J	`jnl`	Fast Algorithms for Image Reconstruction with Application to Partially Parallel MR Imaging. SIAM J. Imaging Sci. Yunmei Chen, William W. Hager, Feng Huang, Dzung T. Phan, Xiaojing Ye, Wotao Yin
2012	J	`jnl`	Lagrangian Duality and Branch-and-Bound Algorithms for Optimal Power Flow. Oper. Res. Dzung T. Phan
2011	Misc	`conf`	A two-stage non-linear program for optimal electrical grid power balance under uncertainty. WSC Dzung T. Phan, Soumyadip Ghosh
2011	J	`jnl`	Gradient-Based Methods for Sparse Recovery. SIAM J. Imaging Sci. William W. Hager, Dzung T. Phan, Hongchao Zhang
2009	J	`jnl`	An Ellipsoidal Branch and Bound Algorithm for Global Optimization. SIAM J. Optim. William W. Hager, Dzung T. Phan
2009	J	`jnl`	An exact algorithm for graph partitioning CoRR William W. Hager, Dzung T. Phan, Hongchao Zhang