| A review of cooperative multi-agent deep reinforcement learning A Oroojlooy, D Hajinezhad Applied Intelligence 53 (11), 13677-13722, 2023 | 516 | 2023 |
| Prox-PDA: The proximal primal-dual algorithm for fast distributed nonconvex optimization and learning over networks M Hong, D Hajinezhad, MM Zhao ICML 2017, 1529-1538, 2017 | 169 | 2017 |
| ZONE: Zeroth Order Nonconvex Multi-Agent Optimization over Networks D Hajinezhad, M Hong, A Garcia IEEE Transactions on Automatic Control, 2019 | 132* | 2019 |
| AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control A Oroojlooy, M Nazari, D Hajinezhad, J Silva NeurIPS 2020, 2020 | 95 | 2020 |
| Nonnegative Matrix Factorization using ADMM: Algorithm and Convergence Analysis D Hajinezhad, TH Chang, X Wang, Q Shi, M Hong IEEE International Conference on Acoustics, Speech and Signal Processing …, 2016 | 87 | 2016 |
| Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods F Saberi-Movahed, M Mohammadifard, A Mehrpooya, M Rezaei-Ravari, ... Computers in biology and medicine 146, 105426, 2022 | 80 | 2022 |
| Perturbed proximal primal–dual algorithm for nonconvex nonsmooth optimization D Hajinezhad, M Hong Mathematical Programming 176 (1), 207-245, 2019 | 79 | 2019 |
| A fast hybrid particle swarm optimization algorithm for flow shop sequence dependent group scheduling problem D Hajinezhad, N Salmasi, R Mokhtari Scientia 18 (3), 759-764, 2011 | 69 | 2011 |
| Reduced variance deep reinforcement learning with temporal logic specifications Q Gao, D Hajinezhad, Y Zhang, Y Kantaros, MM Zavlanos IEEE International Conference on Cyber-Physical Systems, 237-248, 2019 | 61 | 2019 |
| NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization D Hajinezhad, M Hong, T Zhao, Z Wang NIPS 2016, 4385-4393, 2016 | 56 | 2016 |
| Alternating direction method of multipliers for a class of nonconvex bilinear optimization: convergence analysis and applications D Hajinezhad, Q Shi Journal of Global Optimization 70, 261-288, 2018 | 42 | 2018 |
| Nonconvex Alternating Direction Method of Multipliers for Distributed Sparse Principal Component Analysis D Hajinezhad, M Hong IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2015 | 31 | 2015 |
| Real-time spatial and group monitoring and optimization HM Ghadyali, KS Prabhudesai, M Nazari, B Biller, A Oroojlooyjadid, ... US Patent 11,176,691, 2021 | 16 | 2021 |
| Gradient-free multi-agent nonconvex nonsmooth optimization D Hajinezhad, MM Zavlanos IEEE Conference on Decision and Control (CDC), 4939-4944, 2018 | 15 | 2018 |
| A review of cooperative multi-agent deep reinforcement learning OA Jadid, D Hajinezhad arXiv preprint arXiv:1908.03963, 2019 | 13 | 2019 |
| A review of cooperative multi-agent deep reinforcement learning (2019) A OroojlooyJadid, D Hajinezhad arXiv preprint arXiv:1908.03963, 1908 | 11 | 1908 |
| Real-Time Automated Visual Queue Monitoring, Control, Optimization and Recommendation VV Hamza Mustafa Ghadyali, Kedar Shriram Prabhudesai, Mohammad Reza Nazari ... US Patent App. 17/060,957, 2020 | 8* | 2020 |
| A review of cooperative multi-agent deep reinforcement learning. arXiv 2019 A OroojlooyJadid, D Hajinezhad arXiv preprint arXiv:1908.03963, 0 | 8 | |
| Real-Time Concealed Object Tracking JY Hamza Mustafa Ghadyali, Kedar Shriram Prabhudesai, Jonathan Lee Walker ... US Patent App. 17/060,504, 2020 | 7* | 2020 |
| Universal attention-based reinforcement learning model for control systems A Oroojlooyjadid, M Nazari, D Hajinezhad, JMG da Silva US Patent 11,080,602, 2021 | 3 | 2021 |
Mingyi HongAssociate Professor, University of Minnesota; Amazon Scholar確認したメール アドレス: umn.edu