Dzung Phan  Dzung Phan photo         

contact information

Research Staff Member, Master Inventor
Thomas J. Watson Research Center, Yorktown Heights, NY USA
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Professional Associations

Professional Associations:  American Mathematical Society (AMS)  |  INFORMS  |  Society for Industrial and Applied Mathematics


2022

StepDIRECT - A Derivative-Free Optimization Method for Stepwise Functions
Dzung T. Phan, Hongsheng Liu, Lam M. Nguyen
SIAM International Conference on Data Mining (SDM22), SIAM, 2022

Addressing Solution Quality in Data Generated Optimization Models
Orit Davidovich, Parikshit Ram, Segev Wasserkrug, Dharmashankar Subramanian, Nianjun Zhou, Dzung T. Phan, Pavankumar Murali, Lam M. Nguyen
The 36th AAAI Conference on Artificial Intelligence (AAAI 2022), AI for Decision Optimization, AI4DO, 2022

Automated Decision Optimization: Data and Knowledge Driven Optimization Model Generation with Human-in-the-loop
Lisa Amini, Arunima Chaudhary, Yishai Feldman, Pavankumar Murali, Lam M. Nguyen, Dzung Phan, Aviad Sela, Carolina Spina, Dharmashankar Subramanian, Abel Valente, Long Vu, Dakuo Wang, Segev Wasserkrug, Ritesh Yadav, Nianjun Zhou
The 36th AAAI Conference on Artificial Intelligence (AAAI 2022), AI for Decision Optimization, AI4DO, 2022

Interpretable Clustering via Multi-Polytope Machines
Connor Lawless, Jayant Kalagnanam, Lam Nguyen, Dzung T. Phan, Chandra Reddy
The 36th AAAI Conference on Artificial Intelligence (AAAI 2022)

AI-based Real-time Site-wide Optimization for Process Manufacturing
Jayant Kalagnanam, Dzung T. Phan, Pavankumar Murali, Lam Nguyen, Nianjun Zhou, Dharmashankar Subramanian, Raju Pavuluri, Xiang Ma, Crystal Lui, Giovane da Silva
INFORMS Journal on Applied Analytics, 2022

L0-Elastic Net Graphical Model Estimation with Applications to Anomaly Localization
Dzung T. Phan, Tsuyoshi Ide, Jayant Kalagnanam, Matt Menickelly
Technical Report, 2022


2021

Cardinality-Regularized Hawkes-Granger Model
Tsuyoshi Ide, Georgios Kollias, Dzung T. Phan, Naoki Abe
The 35th Conference on Neural Information Processing Systems (NeurIPS 2021)

Ensuring the Quality of Optimization Solutions in Data Generated Optimization Models
Segev Wasserkrug, Orit Davidovith, Evgeny Shindin, Dharmashankar Subramanian, Parikshit Ram, Pavankumar Murali, Dzung Phan, Nianjun Zhou, Lam M. Nguyen
The 30th International Joint Conference on Artificial Intelligence (IJCAI 2021), Data Science Meets Optimisation, DSO@IJCAI2021

FedDR -- Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization
Quoc Tran-Dinh, Nhan H. Pham, Dzung T. Phan, Lam M. Nguyen
The 35th Conference on Neural Information Processing Systems (NeurIPS 2021)

Regression Optimization for System-level Production Control
Dzung T. Phan, Lam M. Nguyen, Pavankumar Murali, Nhan H. Pham, Hongsheng Liu, Jayant R. Kalagnanam
The 2021 American Control Conference (ACC 2021)

Ensembling Graph Predictions for AMR Parsing
Thanh Lam Hoang, Gabriele Picco, Yufang Hou, Young-Suk Lee, Lam Nguyen, Dzung T. Phan, Vanessa Lopez, Ramon Fernandez Astudillo
The 35th Conference on Neural Information Processing Systems (NeurIPS 2021)

A Hybrid Stochastic Optimization Framework for Composite Nonconvex Optimization
Quoc Tran-Dinh, Nhan Pham, Dzung T. Phan, Lam Nguyen
Mathematical Programming, 2021

A Scale Invariant Flatness Measure for Deep Network Minima
Akshay Rangamani, Nam H. Nguyen, Abhishek Kumar, Dzung T. Phan, Sang H. Chin, Trac D. Tran
The international Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2021

A Unified Convergence Analysis for Shuffling-Type Gradient Methods
Lam M. Nguyen, Quoc Tran-Dinh, Dzung T. Phan, Phuong Ha Nguyen, Marten van Dijk
Journal of Machine Learning Research (JMLR), 2021


2020

A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees
Haoran Zhu, Pavankumar Murali, Dzung T. Phan, Lam M. Nguyen, Jayant R. Kalagnanam
The 34th Conference on Neural Information Processing Systems (NeurIPS 2020)

Pruning Deep Neural Networks with L0-constrained Optimization
Dzung T. Phan, Lam M. Nguyen, Nam H. Nguyen, Jayant R. Kalagnanam
The 20th IEEE International Conference on Data Mining (ICDM 2020)

On the Solution of L0-Constrained Sparse Inverse Covariance Estimation Problems
Dzung T. Phan, Matt Menickelly
INFORMS Journal on Computing 33(2), 531-550, 2020

A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning
Nhan H. Pham, Lam M. Nguyen, Dzung T. Phan, Phuong Ha Nguyen, Marten van Dijk, and Quoc Tran-Dinh
The 23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020)

ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization
Nhan H. Pham, Lam M. Nguyen, Dzung T. Phan, Quoc Tran-Dinh
Journal of Machine Learning Research pp. 21(110), 1-48, 2020


2019

Applications of Gaussian Graphical Models for Process Control
Robert J. Baseman, Dzung T. Phan, Dhavalkumar C. Patel, Fateh A. Tipu, Jayant R. Kalagnanam, Tsuyoshi Ide
In Proceedings of the Advanced Process Control Conference (APC 2019, October 28-31, 2019, Texas, USA)

Efficient Protocol for Collaborative Dictionary Learning in Decentralized Networks
Tsuyoshi Ide, Rudy Raymond, Dzung T. Phan
In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 19), 2019

Optimal Finite-Sum Smooth Non-Convex Optimization with SARAH
Lam M. Nguyen, Marten van Dijk, Dzung T. Phan, Phuong Ha Nguyen, Tsui-Wei Weng, and Jayant R. Kalagnanam
arXiv preprint, 2019

Hybrid Stochastic Gradient Descent Algorithms for Stochastic Nonconvex Optimization
Quoc Tran-Dinh, Nhan H. Pham, Dzung T. Phan, Lam M. Nguyen
Technical Report, arXiv preprint, 2019

Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD
Marten van Dijk, Lam M. Nguyen, Phuong Ha Nguyen, Dzung T. Phan
The 36th International Conference on Machine Learning (ICML 2019)


2018

L0-Regularized Sparsity for Probabilistic Mixture Models
Dzung T. Phan, Tsuyoshi Ide
SIAM International Conference on Data Mining (SDM19), 2018

When Does Stochastic Gradient Algorithm Work Well?
Lam M. Nguyen, Nam H. Nguyen, Dzung T. Phan, Jayant R. Kalagnanam, Katya Scheinberg
arXiv preprint , 2018


2017

A Novel l0-constrained Gaussian Graphical Model for Anomaly Localization
Dzung T. Phan, Tsuyoshi Ide, Jayant Kalagnanam, Matt Menickelly, Katya Scheinberg
Proceedings of the 17th International Conference on Data Mining Workshops (ICDMW 2017), pp. 830-833

Multi-task Multi-modal Models for Collective Anomaly Detection
Tsuyoshi Ide, Dzung T. Phan, Jayant Kalagnanam
Proceedings of the 2017 IEEE International Conference on Data Mining (ICDM 17)


2016

Change Detection Using Directional Statistics
Tsuyoshi Ide, Dzung T. Phan, Jayant Kalagnanam
Proceedings of the Twenty-Fifrth International Joint Conference on Artificial Intelligence (IJCAI 16), 2016

Projection Algorithms for Nonconvex Minimization with Application to Sparse Principal Component Analysis
William W. Hager, Dzung T. Phan, Jiajie Zhu
Journal of Global Optimization 65(4), 657-676, 2016


Managing uncertainty in electricity generation and demand forecasting
K Warren, R Ambrosio, B Chen, YH Fu, S Ghosh, Dzung T. Phan, M Sinn, CH Tian, C Visweswariah
IBM Journal of Research and Development 60(1), 8--1, IBM, 2016


2015

Multi-stage Optimization for Periodic Inspection Planning of Geo-distributed Infrastructure Systems
Dzung T. Phan, Yada zhu
European Journal of Operational Research 245(3), 797-804, 2015

Asset health management using predictive and prescriptive analytics for the electric power grid
Aanchal Aggarwal, Ernauli Aprilia, Geert Janssen, Younghun Kim, Tarun Kumar, Richard Mueller, Dzung T. Phan, Abhishek Raman, Jeroen Schuddebeurs, Jinjun Xiong, Rui Zhang
IBM Journal of Research and Development, 2015

Optimal Crew Site Visit to Improve the Reliability of Electricity Distribution Networks
Dzung T. Phan, Yada Zhu, and Jayant Kalagnanam
21st ISSAT International Conference on Reliability and Quality in Design, 2015


A Resource Supply-demand based Approach for Automatic MapReduce Job Optimization
Jinjun Xiong, Dzung T. Phan, David Kung
17th IEEE International Conference on High Performance Computing and Communications (HPCC), 2015

Validation of the Effectiveness of Virtual Instrumentation for Distribution Transformers
Lia Aprilia, Tongyou Gu, Bert Hollander, Geert Janssen, Dzung Phan, Jeroen Schuddebeurs, Jinjun Xiong, Yada Zhu
23rd International Conference and Exhibition on Electricity Distribution (CIRED), 2015


2014

Some optimization models and techniques for electric power system short-term operations
Andy Sun, Dzung T. Phan
Wiley Encyclopedia of Operations Research and Management Science, Wiley Online Library, 2014

Two-stage stochastic optimization for optimal power flow under renewable generation uncertainty
Dzung Phan, Soumyadip Ghosh
ACM Transactions on Modeling and Computer Simulation (TOMACS) 24(1), 2, ACM, 2014

Some efficient optimization methods for solving the security-constrained optimal power flow problem
Dzung T. Phan, Jayant Kalagnanam
IEEE Transactions on Power Systems 29(2), 863 - 872, 2014


2013

Periodic inspection optimization for infrastructure systems subject to hidden failures
Dzung T. Phan, Yada Zhu
19th ISSAT International Conference Proceedings on Reliability and Quality in Design, pp. 1-7, 2013

Fully decentralized optimal power flow algorithms
Andy Sun, Dzung T. Phan, Soumyadip Ghosh
Proceedings of the 2013 IEEE Power and Energy Society General Meeting

A case study of applying a novel asset maintenance optimization methodology to electricity distribution utilities using simulation strengthened analytics
J.D.Schuddebeurs, J. Xiong, R. van Hees, T. Gu, E.C. Aprilia, G. Ditlow, D. Phan, G. Janssen, E. Acar, Y. Zhu
Proceedings of the Asset Management Conference, pp. 1-7, 2013

Optimization approaches to security-constrained unit commitment and economic dispatch with uncertainty analysis
Dzung T. Phan, Ali Koc
Optimization and Security Challenges in Smart Power Grids Energy Systems, pp. 1-37, Springer, 2013

An exact algorithm for graph partitioning
William W. Hager, Dzung T. Phan, Hongchao Zhang
Mathematical Programming 137(1-2), 531-556, 2013


2012

A distributed scheme for fair EV charging under transmission constraints
Dzung T Phan, Jinjun Xiong, Soumyadip Ghosh
2012 American Control Conference (ACC), pp. 1053--1058

Distributed methods for solving the security-constrained optimal power flow problem
Dzung T. Phan, Jayant Kalagnanam
Proceedings of the 2012 IEEE PES Innovative Smart Grid Technologies (ISGT), pp. 1-7


Fast algorithms for image reconstruction with application to partially parallel MR imaging
Y. Chen, W. W. Hager, F. Huang, D. T. Phan, X. Ye, W. Yin
SIAM Journal on Imaging Sciences 5(1), 90-118, 2012


2011

Framework for large-scale modeling and simulation of electricity systems for planning, monitoring, and secure operations of nextgeneration electricity grids
E. Acar, B. Agrawal, A. R. Conn, G. Ditlow, P. Feldmann, U. Finkler, B. Gaucher, A. Gupta, F. Heng, J. Kalagnanam, A. Koc, D. Kung, D.T. Phan, A. Singhee, B. Smith, J. Xiong
Proceedings of Computational Needs for the Next Generation Electric Grid, 2011

Power generation management under time-varying power and demand conditions
Soumyadip Ghosh, Dan A Iancu, Dmitriy Katz-Rogozhnikov, Dzung T Phan, Mark S Squillante
2011 IEEE Power and Energy Society General Meeting, pp. 1--7


Gradient-based methods for sparse recovery
William W. Hager, Dzung T. Phan, Hongchao Zhang
SIAM Journal on Imaging Sciences 4(1), 146-165, 2011


2009

An ellipsoidal branch and bound algorithm for global optimization
William W. Hager, Dzung T. Phan
SIAM Journal on Optimization 20(2), 740-758, 2009


2001

Parallel block predictor-corrector methods using Adams predictor types
Dzung T Phan
Proceedings of the HUT Scientific Conference, pp. 122-126, 2001