Marginalized population Monte Carlo. - Mónica F. Bugallo; Mingyi Hong 001; Petar M. Djuric (ICASSP, 2009)

Competitive sharing of the spectrum in cognitive radio network: A market equilibrium framework. - Mingyi Hong 001; Alfredo García 001 (WiOpt, 2010)

Joint Model Selection and Parameter Estimation by Population Monte Carlo Simulation. - Mingyi Hong 001; Mónica F. Bugallo; Petar M. Djuric (IEEE J. Sel. Top. Signal Process., 2010)

Joint distributed access point selection and power allocation in cognitive radio networks. - Mingyi Hong 001; Alfredo García 001; Jorge Barrera (INFOCOM, 2011)

Quantitative uncertainty-based incremental localization and anchor selection in wireless sensor networks. - Zhiheng Xie; Mingyi Hong 001; Hengchang Liu; Jingyuan Li 006; Kangyuan Zhu; John A. Stankovic (MSWiM, 2011)

Distributed Uplink Resource Allocation in Cognitive Radio Networks – Part I: Equilibria and Algorithms for Power Allocation - Mingyi Hong 001; Alfredo García 001; Stephen G. Wilson (CoRR, 2011)

Distributed Uplink Resource Allocation in Cognitive Radio Networks – Part II: Equilibria and Algorithms for Joint Access Point Selection and Power Allocation - Mingyi Hong 001; Alfredo García 001; Jorge Barrera (CoRR, 2011)

Lower Bounds Optimization for Coordinated Linear Transmission Beamformer Design in Multicell Network Downlink - Mingyi Hong 001; Alfredo García 001; José Joaquín Escudero Garzás; Ana García Armada (CoRR, 2011)

Averaged Iterative Water-Filling Algorithm: Robustness and Convergence. - Mingyi Hong 001; Alfredo García 001 (IEEE Trans. Signal Process., 2011)

Equilibrium Pricing of Interference in Cognitive Radio Networks. - Mingyi Hong 001; Alfredo García 001 (IEEE Trans. Signal Process., 2011)

Joint transceiver design and base station clustering for heterogeneous networks. - Mingyi Hong 001; Meisam Razaviyayn; Ruoyu Sun 001; Zhi-Quan Luo (ACSCC, 2012)

SINR constrained beamforming for a MIMO multi-user downlink system. - Qingjiang Shi; Meisam Razaviyayn; Mingyi Hong 001; Zhi-Quan Luo (ACSCC, 2012)

Joint linear precoder optimization and base station selection for an uplink MIMO network: A game theoretic approach. - Mingyi Hong 001; Zhi-Quan Luo (ICASSP, 2012)

Optimal joint base station assignment and power allocation in a cellular network. - Ruoyu Sun 001; Mingyi Hong 001; Zhi-Quan Luo (SPAWC, 2012)

Joint Base Station Clustering and Beamformer Design for Partial Coordinated Transmission in Heterogenous Networks - Mingyi Hong 001; Ruoyu Sun 001; Hadi Baligh; Zhi-Quan Luo (CoRR, 2012)

Signal Processing and Optimal Resource Allocation for the Interference Channel - Mingyi Hong 001; Zhi-Quan Luo (CoRR, 2012)

An Adaptive Online Ad Auction Scoring Algorithm for Revenue Maximization - Chenyang Li; Mingyi Hong 001; Randy Cogill; Alfredo García 001 (CoRR, 2012)

Decomposition by Successive Convex Approximation: A Unifying Approach for Linear Transceiver Design in Heterogeneous Networks. - Mingyi Hong 001; Qiang Li 017; Ya-Feng Liu; Zhi-Quan Luo (CoRR, 2012)

"Cap and Trade" for Congestion Control. - Alfredo García 001; Mingyi Hong 001; Jorge Barrera (Dyn. Games Appl., 2012)

Mechanism Design for Base Station Association and Resource Allocation in Downlink OFDMA Network. - Mingyi Hong 001; Alfredo García 001 (IEEE J. Sel. Areas Commun., 2012)

Auction design for spectrum allocation under interference constraints. - Jorge Barrera; Alfredo García 001; Mingyi Hong 001 (GLOBECOM, 2013)

Derivative-free optimization of hearing aid parameters. - Shu-Hsien Chu; Mingyi Hong 001; Zhi-Quan Luo; Kelly Fitz; Martin F. McKinney; Tao Zhang 024 (ICASSP, 2013)

An alternating optimization algorithm for the MIMO secrecy capacity problem under sum power and per-antenna power constraints. - Qiang Li 017; Mingyi Hong 001; Hoi-To Wai; Wing-Kin Ma; Ya-Feng Liu; Zhi-Quan Luo (ICASSP, 2013)

Base station activation and linear transceiver design for utility maximization in Heterogeneous networks. - Wei-Cheng Liao; Mingyi Hong 001; Zhi-Quan Luo (ICASSP, 2013)

A novel single channel speech enhancement approach by combining Wiener filter and dictionary learning. - Hung-Wei Tseng 004; Srikanth Vishnubhotla; Mingyi Hong 001; Jinjun Xiao; Zhi-Quan Luo; Tao Zhang 024 (ICASSP, 2013)

A single channel speech enhancement approach by combining statistical criterion and multi-frame sparse dictionary learning. - Hung-Wei Tseng 004; Srikanth Vishnubhotla; Mingyi Hong 001; Xiangfeng Wang; Jinjun Xiao; Zhi-Quan Luo; Tao Zhang 024 (INTERSPEECH, 2013)

Solving Multiple-Block Separable Convex Minimization Problems Using Two-Block Alternating Direction Method of Multipliers. - Xiangfeng Wang; Mingyi Hong 001; Shiqian Ma; Zhi-Quan Luo (CoRR, 2013)

Joint Base Station Clustering and Beamformer Design for Partial Coordinated Transmission in Heterogeneous Networks. - Mingyi Hong 001; Ruoyu Sun 001; Hadi Baligh; Zhi-Quan Luo (IEEE J. Sel. Areas Commun., 2013)

Joint User Grouping and Linear Virtual Beamforming: Complexity, Algorithms and Approximation Bounds. - Mingyi Hong 001; Zi Xu; Meisam Razaviyayn; Zhi-Quan Luo (IEEE J. Sel. Areas Commun., 2013)

Transmit Solutions for MIMO Wiretap Channels using Alternating Optimization. - Qiang Li 017; Mingyi Hong 001; Hoi-To Wai; Ya-Feng Liu; Wing-Kin Ma; Zhi-Quan Luo (IEEE J. Sel. Areas Commun., 2013)

A Unified Convergence Analysis of Block Successive Minimization Methods for Nonsmooth Optimization. - Meisam Razaviyayn; Mingyi Hong 001; Zhi-Quan Luo (SIAM J. Optim., 2013)

Linear transceiver design for a MIMO interfering broadcast channel achieving max-min fairness. - Meisam Razaviyayn; Mingyi Hong 001; Zhi-Quan Luo (Signal Process., 2013)

Max-Min Fairness Linear Transceiver Design Problem for a Multi-User SIMO Interference Channel is Polynomial Time Solvable. - Ya-Feng Liu; Mingyi Hong 001; Yu-Hong Dai (IEEE Signal Process. Lett., 2013)

Joint Access Point Selection and Power Allocation for Uplink Wireless Networks. - Mingyi Hong 001; Alfredo García 001; Jorge Barrera; Stephen G. Wilson (IEEE Trans. Signal Process., 2013)

Distributed Linear Precoder Optimization and Base Station Selection for an Uplink Heterogeneous Network. - Mingyi Hong 001; Zhi-Quan Luo (IEEE Trans. Signal Process., 2013)

Multi-agent distributed large-scale optimization by inexact consensus alternating direction method of multipliers. - Tsung-Hui Chang; Mingyi Hong 001; Xiangfeng Wang (ICASSP, 2014)

A block coordinate descent method of multipliers: Convergence analysis and applications. - Mingyi Hong 001; Tsung-Hui Chang; Xiangfeng Wang; Meisam Razaviyayn; Shiqian Ma; Zhi-Quan Luo (ICASSP, 2014)

Max-min network flow and resource allocation for backhaul constrained heterogeneous wireless networks. - Wei-Cheng Liao; Mingyi Hong 001; Zhi-Quan Luo (ICASSP, 2014)

Joint day-ahead power procurement and load scheduling using stochastic alternating direction method of multipliers. - Xiangfeng Wang; Mingyi Hong 001; Tsung-Hui Chang; Meisam Razaviyayn; Zhi-Quan Luo (ICASSP, 2014)

Parallel Successive Convex Approximation for Nonsmooth Nonconvex Optimization. - Meisam Razaviyayn; Mingyi Hong 001; Zhi-Quan Luo; Jong-Shi Pang (NIPS, 2014)

Power-efficient operation of wireless heterogeneous networks using Smart Grids. - Mingyi Hong 001; Hao Zhu (SmartGridComm, 2014)

Joint base station clustering and beamformer design for partial coordinated transmission using statistical channel state information. - Maziar Sanjabi; Mingyi Hong 001; Meisam Razaviyayn; Zhi-Quan Luo (SPAWC, 2014)

Cross Layer Provision of Future Cellular Networks. - Hadi Baligh; Mingyi Hong 001; Wei-Cheng Liao; Zhi-Quan Luo; Meisam Razaviyayn; Maziar Sanjabi; Ruoyu Sun 001 (CoRR, 2014)

A Distributed, Asynchronous and Incremental Algorithm for Nonconvex Optimization: An ADMM Based Approach. - Mingyi Hong 001 (CoRR, 2014)

Min Flow Rate Maximization for Software Defined Radio Access Networks. - Wei-Cheng Liao; Mingyi Hong 001; Hamid Farmanbar; Xu Li 001; Zhi-Quan Luo; Hang Zhang 014 (IEEE J. Sel. Areas Commun., 2014)

Semidefinite Approximation for Mixed Binary Quadratically Constrained Quadratic Programs. - Zi Xu; Mingyi Hong 001; Zhi-Quan Luo (SIAM J. Optim., 2014)

Cross-Layer Provision of Future Cellular Networks: A WMMSE-based approach. - Hadi Baligh; Mingyi Hong 001; Wei-Cheng Liao; Zhi-Quan Luo; Meisam Razaviyayn; Maziar Sanjabi; Ruoyu Sun 001 (IEEE Signal Process. Mag., 2014)

Interference Pricing Mechanism for Downlink Multicell Coordinated Beamforming. - José Joaquín Escudero Garzás; Mingyi Hong 001; Alfredo García 001; Ana García Armada (IEEE Trans. Commun., 2014)

Base Station Activation and Linear Transceiver Design for Optimal Resource Management in Heterogeneous Networks. - Wei-Cheng Liao; Mingyi Hong 001; Ya-Feng Liu; Zhi-Quan Luo (IEEE Trans. Signal Process., 2014)

Outage Constrained Robust Secure Transmission for MISO Wiretap Channels. - Shuai Ma; Mingyi Hong 001; Enbin Song; Xiangfeng Wang; Dechun Sun (IEEE Trans. Wirel. Commun., 2014)

Energy efficiency optimization for multi-user MISO swipt systems. - Cheng Peng; Qingjiang Shi; WeiQiang Xu; Mingyi Hong 001 (ChinaSIP, 2015)

Nonconvex alternating direction method of multipliers for distributed sparse principal component analysis. - Davood Hajinezhad; Mingyi Hong 001 (GlobalSIP, 2015)

Semi-asynchronous routing for large scale hierarchical networks. - Wei-Cheng Liao; Mingyi Hong 001; Hamid Farmanbar; Zhi-Quan Luo (ICASSP, 2015)

Incorporating spatial information in binaural beamforming for noise suppression in hearing aids. - Wei-Cheng Liao; Mingyi Hong 001; Ivo Merks; Tao Zhang 024; Zhi-Quan Luo (ICASSP, 2015)

Combining sparse NMF with deep neural network: A new classification-based approach for speech enhancement. - Hung-Wei Tseng 004; Mingyi Hong 001; Zhi-Quan Luo (ICASSP, 2015)

Improved Iteration Complexity Bounds of Cyclic Block Coordinate Descent for Convex Problems. - Ruoyu Sun 001; Mingyi Hong 001 (NIPS, 2015)

Joint Downlink Base Station Association and Power Control for Max-Min Fairness: Computation and Complexity. - Ruoyu Sun 001; Mingyi Hong 001; Zhi-Quan Luo (IEEE J. Sel. Areas Commun., 2015)

Multi-Agent Distributed Optimization via Inexact Consensus ADMM. - Tsung-Hui Chang; Mingyi Hong 001; Xiangfeng Wang (IEEE Trans. Signal Process., 2015)

Optimization algorithms for big data with application in wireless networks. - Mingyi Hong 001; Wei-Cheng Liao; Ruoyu Sun 001; Zhi-Quan Luo (Big Data over Networks, 2016)

An Improved Convergence Analysis of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization. - Xingguo Li; Tuo Zhao; Raman Arora; Han Liu 001; Mingyi Hong 001 (AISTATS, 2016)

A distributed algorithm for dictionary learning over networks. - Ming-Min Zhao; Qingjiang Shi; Mingyi Hong 001 (GlobalSIP, 2016)

Asynchronous distributed alternating direction method of multipliers: Algorithm and convergence analysis. - Tsung-Hui Chang; Mingyi Hong 001; Wei-Cheng Liao; Xiangfeng Wang (ICASSP, 2016)

Nonnegative matrix factorization using ADMM: Algorithm and convergence analysis. - Davood Hajinezhad; Tsung-Hui Chang; Xiangfeng Wang; Qingjiang Shi; Mingyi Hong 001 (ICASSP, 2016)

Stochastic proximal gradient consensus over time-varying networks. - Mingyi Hong 001; Tsung-Hui Chang (ICASSP, 2016)

A penalty-BSUM approach for rate optimization in full-duplex MIMO relay networks with relay processing delay. - Qingjiang Shi; Mingyi Hong 001; Enbin Song; Yunlong Cai; WeiQiang Xu (ICASSP, 2016)

Quantized consensus ADMM for multi-agent distributed optimization. - Shengyu Zhu 001; Mingyi Hong 001; Biao Chen 001 (ICASSP, 2016)

NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization. - Davood Hajinezhad; Mingyi Hong 001; Tuo Zhao; Zhaoran Wang 001 (NIPS, 2016)

Joint Transceiver Design for Full-Duplex K-Pair MIMO Interference Channel with Energy Harvesting. - Yunlong Cai; Ming-Min Zhao; Qingjiang Shi; Mingyi Hong 001; Benoît Champagne 001 (VTC Fall, 2016)

Alternating direction method of multipliers for penalized zero-variance discriminant analysis. - Brendan P. W. Ames; Mingyi Hong 001 (Comput. Optim. Appl., 2016)

Decomposing Linearly Constrained Nonconvex Problems by a Proximal Primal Dual Approach: Algorithms, Convergence, and Applications. - Mingyi Hong 001 (CoRR, 2016)

A First Order Free Lunch for SQRT-Lasso. - Xingguo Li; Jarvis D. Haupt; Raman Arora; Han Liu 001; Mingyi Hong 001; Tuo Zhao (CoRR, 2016)

Inexact Block Coordinate Descent Methods For Symmetric Nonnegative Matrix Factorization. - Qingjiang Shi; Haoran Sun; Songtao Lu; Mingyi Hong 001; Meisam Razaviyayn (CoRR, 2016)

Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems. - Mingyi Hong 001; Zhi-Quan Luo; Meisam Razaviyayn (SIAM J. Optim., 2016)

A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data: With applications in machine learning and signal processing. - Mingyi Hong 001; Meisam Razaviyayn; Zhi-Quan Luo; Jong-Shi Pang (IEEE Signal Process. Mag., 2016)

Efficient Rate Allocation in Wireless Networks Under Incomplete Information. - Alfredo García 001; Mingyi Hong 001 (IEEE Trans. Autom. Control., 2016)

Asynchronous Distributed ADMM for Large-Scale Optimization - Part I: Algorithm and Convergence Analysis. - Tsung-Hui Chang; Mingyi Hong 001; Wei-Cheng Liao; Xiangfeng Wang (IEEE Trans. Signal Process., 2016)

Asynchronous Distributed ADMM for Large-Scale Optimization - Part II: Linear Convergence Analysis and Numerical Performance. - Tsung-Hui Chang; Wei-Cheng Liao; Mingyi Hong 001; Xiangfeng Wang (IEEE Trans. Signal Process., 2016)

Joint Source-Relay Design for Full-Duplex MIMO AF Relay Systems. - Qingjiang Shi; Mingyi Hong 001; Xiqi Gao 001; Enbin Song; Yunlong Cai; WeiQiang Xu (IEEE Trans. Signal Process., 2016)

Energy Efficiency Optimization for MISO SWIPT Systems With Zero-Forcing Beamforming. - Qingjiang Shi; Cheng Peng; WeiQiang Xu; Mingyi Hong 001; Yunlong Cai (IEEE Trans. Signal Process., 2016)

SINR Constrained Beamforming for a MIMO Multi-User Downlink System: Algorithms and Convergence Analysis. - Qingjiang Shi; Meisam Razaviyayn; Mingyi Hong 001; Zhi-Quan Luo (IEEE Trans. Signal Process., 2016)

Decomposition by Successive Convex Approximation: A Unifying Approach for Linear Transceiver Design in Heterogeneous Networks. - Mingyi Hong 001; Qiang Li 017; Ya-Feng Liu (IEEE Trans. Wirel. Commun., 2016)

Sample Approximation-Based Deflation Approaches for Chance SINR-Constrained Joint Power and Admission Control. - Ya-Feng Liu; Mingyi Hong 001; Enbin Song (IEEE Trans. Wirel. Commun., 2016)

A Stochastic Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization. - Songtao Lu; Mingyi Hong 001; Zhengdao Wang (AISTATS, 2017)

Regulation of renewable energy sources to optimal power flow solutions using ADMM. - Yijian Zhang; Emiliano Dall'Anese; Mingyi Hong 001; Sairaj V. Dhople; Zi Xu (ACC, 2017)

Dynamic ADMM for real-time optimal power flow. - Yijian Zhang; Emiliano Dall'Anese; Mingyi Hong 001 (GlobalSIP, 2017)

Hybrid Transceiver Design for mmWave MIMO Systems with Non-Linear Power Consumption Model. - Xiongfei Zhai; Qingjiang Shi; Yunlong Cai; Mingyi Hong 001; Minjian Zhao 001 (GLOBECOM, 2017)

Scalable and flexible Max-Var generalized canonical correlation analysis via alternating optimization. - Xiao Fu 001; Kejun Huang; Mingyi Hong 001; Nicholas D. Sidiropoulos; Anthony Man-Cho So (ICASSP, 2017)

Penalty dual decomposition method with application in signal processing. - Qingjiang Shi; Mingyi Hong 001 (ICASSP, 2017)

Traffic engineering for backhaul networks with wireless link scheduling. - Nan Zhang; Wei-Cheng Liao; Mingyi Hong 001; Hamid Farmanbar; Zhi-Quan Luo (ICASSP, 2017)

Prox-PDA: The Proximal Primal-Dual Algorithm for Fast Distributed Nonconvex Optimization and Learning Over Networks. - Mingyi Hong 001; Davood Hajinezhad; Ming-Min Zhao (ICML, 2017)

Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering. - Bo Yang 053; Xiao Fu 001; Nicholas D. Sidiropoulos; Mingyi Hong 001 (ICML, 2017)

Learning to optimize: Training deep neural networks for wireless resource management. - Haoran Sun; Xiangyi Chen; Qingjiang Shi; Mingyi Hong 001; Xiao Fu 001; Nikos D. Sidiropoulos (SPAWC, 2017)

Joint Transceiver Design for Full-Duplex Cloud Radio Access Networks with SWIPT. - Ming-Min Zhao; Qingjiang Shi; Mingyi Hong 001; Yunlong Cai; Minjian Zhao 001 (WCNC, 2017)

Penalty Dual Decomposition Method For Nonsmooth Nonconvex Optimization. - Qingjiang Shi; Mingyi Hong 001; Xiao Fu 001; Tsung-Hui Chang (CoRR, 2017)

On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization. - Xingguo Li; Tuo Zhao; Raman Arora; Han Liu 001; Mingyi Hong 001 (J. Mach. Learn. Res., 2017)

Network Slicing for Service-Oriented Networks Under Resource Constraints. - Nan Zhang; Ya-Feng Liu; Hamid Farmanbar; Tsung-Hui Chang; Mingyi Hong 001; Zhi-Quan Luo (IEEE J. Sel. Areas Commun., 2017)

On the linear convergence of the alternating direction method of multipliers. - Mingyi Hong 001; Zhi-Quan Luo (Math. Program., 2017)

Iteration complexity analysis of block coordinate descent methods. - Mingyi Hong 001; Xiangfeng Wang; Meisam Razaviyayn; Zhi-Quan Luo (Math. Program., 2017)

Joint Transceiver Designs for Full-Duplex $K$ -Pair MIMO Interference Channel With SWIPT. - Ming-Min Zhao; Yunlong Cai; Qingjiang Shi; Mingyi Hong 001; Benoît Champagne 001 (IEEE Trans. Commun., 2017)

Scalable and Flexible Multiview MAX-VAR Canonical Correlation Analysis. - Xiao Fu 001; Kejun Huang; Mingyi Hong 001; Nicholas D. Sidiropoulos; Anthony Man-Cho So (IEEE Trans. Signal Process., 2017)

Stochastic Proximal Gradient Consensus Over Random Networks. - Mingyi Hong 001; Tsung-Hui Chang (IEEE Trans. Signal Process., 2017)

A Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization: Convergence Analysis and Optimality. - Songtao Lu; Mingyi Hong 001; Zhengdao Wang (IEEE Trans. Signal Process., 2017)

Distributed optimization for Generalized Phase Retrieval Over Networks. - Ziping Zhao 002; Songtao Lu; Mingyi Hong 001; Daniel P. Palomar (ACSSC, 2018)

A Finite Sample Analysis of the Actor-Critic Algorithm. - Zhuoran Yang; Kaiqing Zhang; Mingyi Hong 001; Tamer Basar (CDC, 2018)

Large-Scale Regularized Sumcor GCCA via Penalty-Dual Decomposition. - Charilaos I. Kanatsoulis; Xiao Fu 001; Nicholas D. Sidiropoulos; Mingyi Hong 001 (ICASSP, 2018)

Software Defined Resource Allocation for Service-Oriented Networks. - Nan Zhang; Ya-Feng Liu; Hamid Farmanbar; Tsung-Hui Chang; Mingyi Hong 001; Zhi-Quan Luo (ICASSP, 2018)

Gradient Primal-Dual Algorithm Converges to Second-Order Stationary Solution for Nonconvex Distributed Optimization Over Networks. - Mingyi Hong 001; Meisam Razaviyayn; Jason D. Lee (ICML, 2018)

Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization. - Hoi-To Wai; Zhuoran Yang; Zhaoran Wang 001; Mingyi Hong 001 (NeurIPS, 2018)

Mirror-Prox SCA Algorithm for Multicast Beamforming and Antenna Selection. - Mohamed Salah Ibrahim; Aritra Konar; Mingyi Hong 001; Nicholas D. Sidiropoulos (SPAWC, 2018)

Limited Feedback Double Directional Massive MIMO Channel Estimation: From Low-Rank Modeling to Deep Learning. - Haoran Sun; Ziping Zhao 002; Xiao Fu 001; Mingyi Hong 001 (SPAWC, 2018)

Spectral Efficiency Optimization For Millimeter Wave Multi-User MIMO Systems. - Qingjiang Shi; Mingyi Hong 001 (CoRR, 2018)

Gradient Primal-Dual Algorithm Converges to Second-Order Stationary Solutions for Nonconvex Distributed Optimization. - Mingyi Hong 001; Jason D. Lee; Meisam Razaviyayn (CoRR, 2018)

On the Sublinear Convergence of Randomly Perturbed Alternating Gradient Descent to Second Order Stationary Solutions. - Songtao Lu; Mingyi Hong 001; Zhengdao Wang (CoRR, 2018)

Spectral Efficiency Optimization For Millimeter Wave Multiuser MIMO Systems. - Qingjiang Shi; Mingyi Hong 001 (IEEE J. Sel. Top. Signal Process., 2018)

A Distributed, Asynchronous, and Incremental Algorithm for Nonconvex Optimization: An ADMM Approach. - Mingyi Hong 001 (IEEE Trans. Control. Netw. Syst., 2018)

Distributed Controllers Seeking AC Optimal Power Flow Solutions Using ADMM. - Yijian Zhang; Mingyi Hong 001; Emiliano Dall'Anese; Sairaj V. Dhople; Zi Xu (IEEE Trans. Smart Grid, 2018)

A Distributed Semiasynchronous Algorithm for Network Traffic Engineering. - Wei-Cheng Liao; Mingyi Hong 001; Hamid Farmanbar; Zhi-Quan Luo (IEEE Trans. Signal Inf. Process. over Networks, 2018)

Learning to Optimize: Training Deep Neural Networks for Interference Management. - Haoran Sun; Xiangyi Chen; Qingjiang Shi; Mingyi Hong 001; Xiao Fu 001; Nicholas D. Sidiropoulos (IEEE Trans. Signal Process., 2018)

Alternating Gradient Descent Ascent for Nonconvex Min-Max Problems in Robust Learning and GANs. - Songtao Lu; Rahul Singh 002; Xiangyi Chen; Yongxin Chen; Mingyi Hong 001 (ACSSC, 2019)

Coupled Block-term Tensor Decomposition Based Blind Spectrum Cartography. - Guoyong Zhang; Xiao Fu 001; Jun Wang 005; Mingyi Hong 001 (ACSSC, 2019)

DImplementing First-order Optimization Methods: Algorithmic Considerations and Bespoke Microcontrollers. - Xinwei Zhang 001; John Sartori; Mingyi Hong 001; Sairaj V. Dhople (ACSSC, 2019)

Efficient Distributed Optimization of Wind Farms Using Proximal Primal-Dual Algorithms. - Jennifer Annoni; Emiliano Dall'Anese; Mingyi Hong 001; Christopher J. Bay (ACC, 2019)

Learning Partially Observable Markov Decision Processes Using Coupled Canonical Polyadic Decomposition. - Kejun Huang; Zhuoran Yang; Zhaoran Wang 001; Mingyi Hong 001 (DSW, 2019)

GNSD: a Gradient-Tracking Based Nonconvex Stochastic Algorithm for Decentralized Optimization. - Songtao Lu; Xinwei Zhang 001; Haoran Sun; Mingyi Hong 001 (DSW, 2019)

Deep Learning Based Preamble Detection and TOA Estimation. - Haoran Sun; Aliye Özge Kaya; Mike Macdonald; Harish Viswanathan; Mingyi Hong 001 (GLOBECOM, 2019)

Fast and Global Optimal Nonconvex Matrix Factorization via Perturbed Alternating Proximal Point. - Songtao Lu; Mingyi Hong 001; Zhengdao Wang (ICASSP, 2019)

Block Alternating Optimization for Non-convex Min-max Problems: Algorithms and Applications in Signal Processing and Communications. - Songtao Lu; Ioannis C. Tsaknakis; Mingyi Hong 001 (ICASSP, 2019)

Perturbed Projected Gradient Descent Converges to Approximate Second-order Points for Bound Constrained Nonconvex Problems. - Songtao Lu; Ziping Zhao 002; Kejun Huang; Mingyi Hong 001 (ICASSP, 2019)

On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization. - Xiangyi Chen; Sijia Liu 001; Ruoyu Sun 001; Mingyi Hong 001 (ICLR (Poster), 2019)

signSGD via Zeroth-Order Oracle. - Sijia Liu 001; Pin-Yu Chen; Xiangyi Chen; Mingyi Hong 001 (ICLR (Poster), 2019)

PA-GD: On the Convergence of Perturbed Alternating Gradient Descent to Second-Order Stationary Points for Structured Nonconvex Optimization. - Songtao Lu; Mingyi Hong 001; Zhengdao Wang (ICML, 2019)

Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective. - Kaidi Xu; Hongge Chen; Sijia Liu 001; Pin-Yu Chen; Tsui-Wei Weng; Mingyi Hong 001; Xue Lin 001 (IJCAI, 2019)

ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization. - Xiangyi Chen; Sijia Liu 001; Kaidi Xu; Xingguo Li; Xue Lin 001; Mingyi Hong 001; David D. Cox (NeurIPS, 2019)

Variance Reduced Policy Evaluation with Smooth Function Approximation. - Hoi-To Wai; Mingyi Hong 001; Zhuoran Yang; Zhaoran Wang 001; Kexin Tang (NeurIPS, 2019)

Provably Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost. - Zhuoran Yang; Yongxin Chen; Mingyi Hong 001; Zhaoran Wang 001 (NeurIPS, 2019)

On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don't Worry About its Nonsmooth Loss Function. - Xingguo Li; Haoming Jiang; Jarvis D. Haupt; Raman Arora; Han Liu 001; Mingyi Hong 001; Tuo Zhao (UAI, 2019)

Multiuser Video Streaming Rate Adaptation: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach. - Kexin Tang; Nuowen Kan; Junni Zou; Xiao Fu 001; Mingyi Hong 001; Hongkai Xiong (VCIP, 2019)

On the Global Convergence of Imitation Learning: A Case for Linear Quadratic Regulator. - Qi Cai; Mingyi Hong 001; Yongxin Chen; Zhaoran Wang 001 (CoRR, 2019)

SNAP: Finding Approximate Second-Order Stationary Solutions Efficiently for Non-convex Linearly Constrained Problems. - Songtao Lu; Meisam Razaviyayn; Bo Yang 053; Kejun Huang; Mingyi Hong 001 (CoRR, 2019)

On the Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost. - Zhuoran Yang; Yongxin Chen; Mingyi Hong 001; Zhaoran Wang 001 (CoRR, 2019)

Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML. - Sijia Liu 001; Songtao Lu; Xiangyi Chen; Yao Feng 002; Kaidi Xu; Abdullah Al-Dujaili; Mingyi Hong 001; Una-May O'Reilly (CoRR, 2019)

Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: A Joint Gradient Estimation and Tracking Approach. - Haoran Sun; Songtao Lu; Mingyi Hong 001 (CoRR, 2019)

Dense Recurrent Neural Networks for Inverse Problems: History-Cognizant Unrolling of Optimization Algorithms. - Seyed Amir Hossein Hosseini; Burhaneddin Yaman; Steen Moeller; Mingyi Hong 001; Mehmet Akçakaya (CoRR, 2019)

A Communication Efficient Vertical Federated Learning Framework. - Yang Liu 165; Yan Kang 001; Xinwei Zhang 001; Liping Li 004; Yong Cheng; Tianjian Chen; Mingyi Hong 001; Qiang Yang 001 (CoRR, 2019)

Perturbed proximal primal-dual algorithm for nonconvex nonsmooth optimization. - Davood Hajinezhad; Mingyi Hong 001 (Math. Program., 2019)

A linearly convergent doubly stochastic Gauss-Seidel algorithm for solving linear equations and a certain class of over-parameterized optimization problems. - Meisam Razaviyayn; Mingyi Hong 001; Navid Reyhanian; Zhi-Quan Luo (Math. Program., 2019)

Anchor-Free Correlated Topic Modeling. - Xiao Fu 001; Kejun Huang; Nicholas D. Sidiropoulos; Qingjiang Shi; Mingyi Hong 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

ZONE: Zeroth-Order Nonconvex Multiagent Optimization Over Networks. - Davood Hajinezhad; Mingyi Hong 001; Alfredo García 001 (IEEE Trans. Autom. Control., 2019)

Structured SUMCOR Multiview Canonical Correlation Analysis for Large-Scale Data. - Charilaos I. Kanatsoulis; Xiao Fu 001; Nicholas D. Sidiropoulos; Mingyi Hong 001 (IEEE Trans. Signal Process., 2019)

Distributed Non-Convex First-Order Optimization and Information Processing: Lower Complexity Bounds and Rate Optimal Algorithms. - Haoran Sun; Mingyi Hong 001 (IEEE Trans. Signal Process., 2019)

A Sum-of-Squares Optimization Method for Learning and Controlling Photovoltaic Systems. - Xinwei Zhang 001; Victor Purba; Mingyi Hong 001; Sairaj V. Dhople (ACC, 2020)

Decentralized Min-Max Optimization: Formulations, Algorithms and Applications in Network Poisoning Attack. - Ioannis C. Tsaknakis; Mingyi Hong 001; Sijia Liu 001 (ICASSP, 2020)

Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks. - Sijia Liu 001; Songtao Lu; Xiangyi Chen; Yao Feng 002; Kaidi Xu; Abdullah Al-Dujaili; Mingyi Hong 001; Una-May O'Reilly (ICML, 2020)

Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: Joint Gradient Estimation and Tracking. - Haoran Sun; Songtao Lu; Mingyi Hong 001 (ICML, 2020)

Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms. - Xiangyi Chen; Tiancong Chen; Haoran Sun; Zhiwei Steven Wu; Mingyi Hong 001 (NeurIPS, 2020)

Understanding Gradient Clipping in Private SGD: A Geometric Perspective. - Xiangyi Chen; Zhiwei Steven Wu; Mingyi Hong 001 (NeurIPS, 2020)

Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems. - Songtao Lu; Meisam Razaviyayn; Bo Yang 053; Kejun Huang; Mingyi Hong 001 (NeurIPS, 2020)

Provably Efficient Neural GTD for Off-Policy Learning. - Hoi-To Wai; Zhuoran Yang; Zhaoran Wang 001; Mingyi Hong 001 (NeurIPS, 2020)

Joint Channel Assignment And Power Allocation for Multi-UAVs Communication Systems. - Lingyun Zhou; Yihong Dong; Mingyi Hong 001; Qingjiang Shi (SPAWC, 2020)

Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond. - Tsung-Hui Chang; Mingyi Hong 001; Hoi-To Wai; Xinwei Zhang 001; Songtao Lu (CoRR, 2020)

Online Proximal-ADMM For Time-varying Constrained Optimization. - Yijian Zhang; Emiliano Dall'Anese; Mingyi Hong 001 (CoRR, 2020)

FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data. - Xinwei Zhang 001; Mingyi Hong 001; Sairaj V. Dhople; Wotao Yin; Yang Liu 165 (CoRR, 2020)

Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances. - Meisam Razaviyayn; Tianjian Huang; Songtao Lu; Maher Nouiehed; Maziar Sanjabi; Mingyi Hong 001 (CoRR, 2020)

On the Divergence of Decentralized Non-Convex Optimization. - Mingyi Hong 001; Siliang Zeng; Junyu Zhang; Haoran Sun (CoRR, 2020)

Private Stochastic Non-Convex Optimization: Adaptive Algorithms and Tighter Generalization Bounds. - Yingxue Zhou; Xiangyi Chen; Mingyi Hong 001; Zhiwei Steven Wu; Arindam Banerjee 001 (CoRR, 2020)

A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic. - Mingyi Hong 001; Hoi-To Wai; Zhaoran Wang 001; Zhuoran Yang (CoRR, 2020)

Joint Channel Assignment and Power Allocation for Multi-UAV Communication. - Lingyun Zhou; Xihan Chen; Mingyi Hong 001; Shi Jin 002; Qingjiang Shi (CoRR, 2020)

Imitation Privacy. - Xun Xian; Xinran Wang; Mingyi Hong 001; Jie Ding 002; Reza Ghanadan (CoRR, 2020)

Hybrid Federated Learning: Algorithms and Implementation. - Xinwei Zhang 001; Wotao Yin; Mingyi Hong 001; Tianyi Chen (CoRR, 2020)

Asynchronous Advantage Actor Critic: Non-asymptotic Analysis and Linear Speedup. - Han Shen; Kaiqing Zhang; Mingyi Hong 001; Tianyi Chen (CoRR, 2020)

A Study of Piecewise Linear-Quadratic Programs. - Ying Cui 004; Tsung-Hui Chang; Mingyi Hong 001; Jong-Shi Pang (J. Optim. Theory Appl., 2020)

Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms. - Seyed Amir Hossein Hosseini; Burhaneddin Yaman; Steen Moeller; Mingyi Hong 001; Mehmet Akçakaya (IEEE J. Sel. Top. Signal Process., 2020)

A Block Successive Upper-Bound Minimization Method of Multipliers for Linearly Constrained Convex Optimization. - Mingyi Hong 001; Tsung-Hui Chang; Xiangfeng Wang; Meisam Razaviyayn; Shiqian Ma; Zhi-Quan Luo (Math. Oper. Res., 2020)

Distributed Learning in the Nonconvex World: From batch data to streaming and beyond. - Tsung-Hui Chang; Mingyi Hong 001; Hoi-To Wai; Xinwei Zhang 001; Songtao Lu (IEEE Signal Process. Mag., 2020)

Nonconvex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances. - Meisam Razaviyayn; Tianjian Huang; Songtao Lu; Maher Nouiehed; Maziar Sanjabi; Mingyi Hong 001 (IEEE Signal Process. Mag., 2020)

Hybrid Block Successive Approximation for One-Sided Non-Convex Min-Max Problems: Algorithms and Applications. - Songtao Lu; Ioannis C. Tsaknakis; Mingyi Hong 001; Yongxin Chen (IEEE Trans. Signal Process., 2020)

Penalty Dual Decomposition Method for Nonsmooth Nonconvex Optimization - Part I: Algorithms and Convergence Analysis. - Qingjiang Shi; Mingyi Hong 001 (IEEE Trans. Signal Process., 2020)

Penalty Dual Decomposition Method for Nonsmooth Nonconvex Optimization - Part II: Applications. - Qingjiang Shi; Mingyi Hong 001; Xiao Fu 001; Tsung-Hui Chang (IEEE Trans. Signal Process., 2020)

Learned Conjugate Gradient Descent Network for Massive MIMO Detection. - Yi Wei 004; Ming-Min Zhao; Mingyi Hong 001; Min-Jian Zhao 001; Ming Lei 001 (IEEE Trans. Signal Process., 2020)

Spectrum Cartography via Coupled Block-Term Tensor Decomposition. - Guoyong Zhang; Xiao Fu 001; Jun Wang 005; Xi-Le Zhao; Mingyi Hong 001 (IEEE Trans. Signal Process., 2020)

Instabilities in Conventional Multi-Coil MRI Reconstruction with Small Adversarial Perturbations. - Chi Zhang 057; Jinghan Jia; Burhaneddin Yaman; Steen Moeller; Sijia Liu 001; Mingyi Hong 001; Mehmet Akçakaya (ACSCC, 2021)

Finding First-Order Nash Equilibria of Zero-Sum Games with the Regularized Nikaido-Isoda Function. - Ioannis C. Tsaknakis; Mingyi Hong 001 (AISTATS, 2021)

Generalization Bounds for Stochastic Saddle Point Problems. - Junyu Zhang; Mingyi Hong 001; Mengdi Wang; Shuzhong Zhang (AISTATS, 2021)

Fiber-Sampled Stochastic Mirror Descent for Tensor Decomposition with β-Divergence. - Wenqiang Pu; Shahana Ibrahim; Xiao Fu 001; Mingyi Hong 001 (ICASSP, 2021)

Deep Generative Model Learning For Blind Spectrum Cartography with NMF-Based Radio Map Disaggregation. - Sagar Shrestha; Xiao Fu 001; Mingyi Hong 001 (ICASSP, 2021)

Learning to Continuously Optimize Wireless Resource in Episodically Dynamic Environment. - Haoran Sun; Wenqiang Pu; Minghe Zhu; Xiao Fu 001; Tsung-Hui Chang; Mingyi Hong 001 (ICASSP, 2021)

RMSprop converges with proper hyper-parameter. - Naichen Shi; Dawei Li 010; Mingyi Hong 001; Ruoyu Sun 001 (ICLR, 2021)

Decentralized Riemannian Gradient Descent on the Stiefel Manifold. - Shixiang Chen; Alfredo García 001; Mingyi Hong 001; Shahin Shahrampour (ICML, 2021)

STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning. - Prashant Khanduri; Pranay Sharma; Haibo Yang 001; Mingyi Hong 001; Jia Liu 002; Ketan Rajawat; Pramod K. Varshney (NeurIPS, 2021)

A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum. - Prashant Khanduri; Siliang Zeng; Mingyi Hong 001; Hoi-To Wai; Zhaoran Wang 001; Zhuoran Yang (NeurIPS, 2021)

When Expressivity Meets Trainability: Fewer than $n$ Neurons Can Work. - Jiawei Zhang 007; Yushun Zhang; Mingyi Hong 001; Ruoyu Sun 001; Zhi-Quan Luo (NeurIPS, 2021)

To Supervise or Not to Supervise: How to Effectively Learn Wireless Interference Management Models? - Bingqing Song; Haoran Sun; Wenqiang Pu; Sijia Liu 001; Mingyi Hong 001 (SPAWC, 2021)

A Momentum-Assisted Single-Timescale Stochastic Approximation Algorithm for Bilevel Optimization. - Prashant Khanduri; Siliang Zeng; Mingyi Hong 001; Hoi-To Wai; Zhaoran Wang 001; Zhuoran Yang (CoRR, 2021)

On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial Perturbations. - Chi Zhang 057; Jinghan Jia; Burhaneddin Yaman; Steen Moeller; Sijia Liu 001; Mingyi Hong 001; Mehmet Akçakaya (CoRR, 2021)

Inducing Equilibria via Incentives: Simultaneous Design-and-Play Finds Global Optima. - Boyi Liu 001; Jiayang Li 001; Zhuoran Yang; Hoi-To Wai; Mingyi Hong 001; Yu Marco Nie; Zhaoran Wang 001 (CoRR, 2021)

To Supervise or Not: How to Effectively Learn Wireless Interference Management Models? - Bingqing Song; Haoran Sun; Wenqiang Pu; Sijia Liu 001; Mingyi Hong 001 (CoRR, 2021)

Multi-User Adaptive Video Delivery Over Wireless Networks: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach. - Kexin Tang; Nuowen Kan; Junni Zou; Chenglin Li; Xiao Fu 001; Mingyi Hong 001; Hongkai Xiong (IEEE Trans. Circuits Syst. Video Technol., 2021)

Online Proximal-ADMM for Time-Varying Constrained Convex Optimization. - Yijian Zhang; Emiliano Dall'Anese; Mingyi Hong 001 (IEEE Trans. Signal Inf. Process. over Networks, 2021)

Linearized ADMM Converges to Second-Order Stationary Points for Non-Convex Problems. - Songtao Lu; Jason D. Lee; Meisam Razaviyayn; Mingyi Hong 001 (IEEE Trans. Signal Process., 2021)

FedPD: A Federated Learning Framework With Adaptivity to Non-IID Data. - Xinwei Zhang 001; Mingyi Hong 001; Sairaj V. Dhople; Wotao Yin; Yang Liu 165 (IEEE Trans. Signal Process., 2021)

Efficient Resource Allocation for Multi-UAV Communication Against Adjacent and Co-Channel Interference. - Lingyun Zhou; Xihan Chen; Mingyi Hong 001; Shi Jin 002; Qingjiang Shi (IEEE Trans. Veh. Technol., 2021)

An Implicit Gradient-Type Method for Linearly Constrained Bilevel Problems. - Ioannis C. Tsaknakis; Prashant Khanduri; Mingyi Hong 001 (ICASSP, 2022)

Mismatched Supervised Learning. - Xun Xian; Mingyi Hong 001; Jie Ding 002 (ICASSP, 2022)

Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach. - Prashant Khanduri; Haibo Yang 001; Mingyi Hong 001; Jia Liu 002; Hoi-To Wai; Sijia Liu 001 (ICLR, 2022)

How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective. - Yimeng Zhang; Yuguang Yao; Jinghan Jia; Jinfeng Yi; Mingyi Hong 001; Shiyu Chang; Sijia Liu 001 (ICLR, 2022)

Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy. - Xinwei Zhang 001; Xiangyi Chen; Mingyi Hong 001; Steven Wu 001; Jinfeng Yi (ICML, 2022)

A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms. - Xinwei Zhang 001; Mingyi Hong 001; Sairaj V. Dhople; Nicola Elia (ICML, 2022)

Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization. - Yihua Zhang; Guanhua Zhang; Prashant Khanduri; Mingyi Hong 001; Shiyu Chang; Sijia Liu 001 (ICML, 2022)

Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees. - Siliang Zeng; Tianyi Chen; Alfredo García 001; Mingyi Hong 001 (L4DC, 2022)

Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence. - Boyi Liu 001; Jiayang Li 001; Zhuoran Yang; Hoi-To Wai; Mingyi Hong 001; Yu Marco Nie; Zhaoran Wang 001 (NeurIPS, 2022)

A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization. - Songtao Lu; Siliang Zeng; Xiaodong Cui; Mark S. Squillante; Lior Horesh; Brian Kingsbury; Jia Liu 002; Mingyi Hong 001 (NeurIPS, 2022)

Distributed Optimization for Overparameterized Problems: Achieving Optimal Dimension Independent Communication Complexity. - Bingqing Song; Ioannis C. Tsaknakis; Chung-Yiu Yau; Hoi-To Wai; Mingyi Hong 001 (NeurIPS, 2022)

Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees. - Siliang Zeng; Chenliang Li; Alfredo García 001; Mingyi Hong 001 (NeurIPS, 2022)

Advancing Model Pruning via Bi-level Optimization. - Yihua Zhang; Yuguang Yao; Parikshit Ram; Pu Zhao 001; Tianlong Chen 001; Mingyi Hong 001; Yanzhi Wang; Sijia Liu 001 (NeurIPS, 2022)

Understanding Model Extraction Games. - Xun Xian; Mingyi Hong 001; Jie Ding 002 (TPS-ISA, 2022)

Distributed adversarial training to robustify deep neural networks at scale. - Gaoyuan Zhang; Songtao Lu; Yihua Zhang; Xiangyi Chen; Pin-Yu Chen; Quanfu Fan; Lee Martie; Lior Horesh; Mingyi Hong 001; Sijia Liu 001 (UAI, 2022)

Understanding A Class of Decentralized and Federated Optimization Algorithms: A Multi-Rate Feedback Control Perspective. - Xinwei Zhang 001; Mingyi Hong 001; Nicola Elia (CoRR, 2022)

Zeroth-Order SciML: Non-intrusive Integration of Scientific Software with Deep Learning. - Ioannis C. Tsaknakis; Bhavya Kailkhura; Sijia Liu 001; Donald Loveland; James Diffenderfer; Anna Maria Hiszpanski; Mingyi Hong 001 (CoRR, 2022)

Optimal Solutions for Joint Beamforming and Antenna Selection: From Branch and Bound to Machine Learning. - Sagar Shrestha; Xiao Fu 001; Mingyi Hong 001 (CoRR, 2022)

A Framework for Understanding Model Extraction Attack and Defense. - Xun Xian; Mingyi Hong 001; Jie Ding 002 (CoRR, 2022)

On lower iteration complexity bounds for the convex concave saddle point problems. - Junyu Zhang; Mingyi Hong 001; Shuzhong Zhang (Math. Program., 2022)

FedBCD: A Communication-Efficient Collaborative Learning Framework for Distributed Features. - Yang Liu 165; Xinwei Zhang 001; Yan Kang 001; Liping Li 004; Tianjian Chen; Mingyi Hong 001; Qiang Yang 001 (IEEE Trans. Signal Process., 2022)

Stochastic Mirror Descent for Low-Rank Tensor Decomposition Under Non-Euclidean Losses. - Wenqiang Pu; Shahana Ibrahim; Xiao Fu 001; Mingyi Hong 001 (IEEE Trans. Signal Process., 2022)

Deep Spectrum Cartography: Completing Radio Map Tensors Using Learned Neural Models. - Sagar Shrestha; Xiao Fu 001; Mingyi Hong 001 (IEEE Trans. Signal Process., 2022)

Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective. - Haoran Sun; Wenqiang Pu; Xiao Fu 001; Tsung-Hui Chang; Mingyi Hong 001 (IEEE Trans. Signal Process., 2022)

Parallel Assisted Learning. - Xinran Wang; Jiawei Zhang 007; Mingyi Hong 001; Yuhong Yang 002; Jie Ding 002 (IEEE Trans. Signal Process., 2022)

On the Divergence of Decentralized Nonconvex Optimization. - Mingyi Hong 001; Siliang Zeng; Junyu Zhang; Haoran Sun (SIAM J. Optim., 2022)

A Bayesian Approach to Robust Inverse Reinforcement Learning. - Ran Wei; Siliang Zeng; Chenliang Li; Alfredo García 001; Anthony D. McDonald; Mingyi Hong 001 (CoRL, 2023)

Towards Efficient and Optimal Joint Beamforming and Antenna Selection: A Machine Learning Approach. - Sagar Shrestha; Xiao Fu 001; Mingyi Hong 001 (ICASSP, 2023)

An Implicit Gradient Method for Constrained Bilevel Problems Using Barrier Approximation. - Ioannis C. Tsaknakis; Prashant Khanduri; Mingyi Hong 001 (ICASSP, 2023)

What Is Missing in IRM Training and Evaluation? Challenges and Solutions. - Yihua Zhang; Pranay Sharma; Parikshit Ram; Mingyi Hong 001; Kush R. Varshney; Sijia Liu 001 (ICLR, 2023)

Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach. - Prashant Khanduri; Ioannis C. Tsaknakis; Yihua Zhang; Jia Liu 002; Sijia Liu 001; Jiawei Zhang 007; Mingyi Hong 001 (ICML, 2023)

FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks. - Bingqing Song; Prashant Khanduri; Xinwei Zhang 001; Jinfeng Yi; Mingyi Hong 001 (ICML, 2023)

Understanding Backdoor Attacks through the Adaptability Hypothesis. - Xun Xian; Ganghua Wang; Jayanth Srinivasa; Ashish Kundu; Xuan Bi; Mingyi Hong 001; Jie Ding 002 (ICML, 2023)

A Unified Detection Framework for Inference-Stage Backdoor Defenses. - Xun Xian; Ganghua Wang; Jayanth Srinivasa; Ashish Kundu; Xuan Bi; Mingyi Hong 001; Jie Ding 002 (NeurIPS, 2023)

VCC: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens. - Zhanpeng Zeng; Cole Hawkins; Mingyi Hong 001; Aston Zhang; Nikolaos Pappas 004; Vikas Singh; Shuai Zheng (NeurIPS, 2023)

When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning. - Siliang Zeng; Chenliang Li; Alfredo García 001; Mingyi Hong 001 (NeurIPS, 2023)

Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning. - Yihua Zhang; Yimeng Zhang; Aochuan Chen; Jinghan Jia; Jiancheng Liu; Gaowen Liu; Mingyi Hong 001; Shiyu Chang; Sijia Liu 001 (NeurIPS, 2023)

Transformer Based Approach for Wireless Resource Allocation Problems Involving Mixed Discrete and Continuous Variables. - Bingqing Song; Zhicheng Zhou; Chenliang Li; Dongning Guo; Xiao Fu 001; Mingyi Hong 001 (SPAWC, 2023)

Understanding Expertise through Demonstrations: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning. - Siliang Zeng; Chenliang Li; Alfredo García 001; Mingyi Hong 001 (CoRR, 2023)

An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning. - Yihua Zhang; Prashant Khanduri; Ioannis C. Tsaknakis; Yuguang Yao; Mingyi Hong 001; Sijia Liu 001 (CoRR, 2023)

Understanding a Class of Decentralized and Federated Optimization Algorithms: A Multirate Feedback Control Perspective. - Xinwei Zhang 001; Mingyi Hong 001; Nicola Elia (SIAM J. Optim., 2023)

Towards Understanding Asynchronous Advantage Actor-Critic: Convergence and Linear Speedup. - Han Shen; Kaiqing Zhang; Mingyi Hong 001; Tianyi Chen (IEEE Trans. Signal Process., 2023)

Optimal Solutions for Joint Beamforming and Antenna Selection: From Branch and Bound to Graph Neural Imitation Learning. - Sagar Shrestha; Xiao Fu 001; Mingyi Hong 001 (IEEE Trans. Signal Process., 2023)

A Two-Timescale Stochastic Algorithm Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic. - Mingyi Hong 001; Hoi-To Wai; Zhaoran Wang 001; Zhuoran Yang (SIAM J. Optim., 2023)

Primal-Dual First-Order Methods for Affinely Constrained Multi-block Saddle Point Problems. - Junyu Zhang; Mengdi Wang; Mingyi Hong 001; Shuzhong Zhang (SIAM J. Optim., 2023)

Learning to Beamform in Heterogeneous Massive MIMO Networks. - Minghe Zhu; Tsung-Hui Chang; Mingyi Hong 001 (IEEE Trans. Wirel. Commun., 2023)

Minimax Problems with Coupled Linear Constraints: Computational Complexity and Duality. - Ioannis C. Tsaknakis; Mingyi Hong 001; Shuzhong Zhang (SIAM J. Optim., 2023)

Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate. - Ruichen Jiang; Parameswaran Raman; Shoham Sabach; Aryan Mokhtari; Mingyi Hong 001; Volkan Cevher (AISTATS, 2024)

A Smoothed Bregman Proximal Gradient Algorithm for Decentralized Nonconvex Optimization. - Wenqiang Pu; Jiawei Zhang 007; Rui Zhou; Xiao Fu 001; Mingyi Hong 001 (ICASSP, 2024)

Demystifying Poisoning Backdoor Attacks from a Statistical Perspective. - Ganghua Wang; Xun Xian; Ashish Kundu; Jayanth Srinivasa; Xuan Bi; Mingyi Hong 001; Jie Ding 002 (ICLR, 2024)

Differentially Private SGD Without Clipping Bias: An Error-Feedback Approach. - Xinwei Zhang 001; Zhiqi Bu; Steven Wu 001; Mingyi Hong 001 (ICLR, 2024)

MADA: Meta-Adaptive Optimizers Through Hyper-Gradient Descent. - Kaan Ozkara; Can Karakus; Parameswaran Raman; Mingyi Hong 001; Shoham Sabach; Branislav Kveton; Volkan Cevher (ICML, 2024)

EMC2: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence. - Chung-Yiu Yau; Hoi-To Wai; Parameswaran Raman; Soumajyoti Sarkar; Mingyi Hong 001 (ICML, 2024)

Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark. - Yihua Zhang; Pingzhi Li; Junyuan Hong; Jiaxiang Li; Yimeng Zhang; Wenqing Zheng; Pin-Yu Chen; Jason D. Lee; Wotao Yin; Mingyi Hong 001; Zhangyang Wang; Sijia Liu 001; et al. (ICML, 2024)

Building Large Models from Small Distributed Models: A Layer Matching Approach. - Xinwei Zhang 001; Bingqing Song; Mehrdad Honarkhah; Jie Ding 002; Mingyi Hong 001 (SAM, 2024)

Towards Fast Hard-Constrained Parallel Transmit Design in Ultrahigh Field MRI with Physics-Driven Neural Networks. - Toygan Kilic; Jürgen Herrler; Patrick Liebig; Ömer Burak Demirel; Armin M. Nagel; Mingyi Hong 001; Georgios B. Giannakis; Kâmil Ugurbil; Mehmet Akçakaya (ISBI, 2024)

DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction. - Xinwei Zhang 001; Zhiqi Bu; Mingyi Hong 001; Meisam Razaviyayn (NeurIPS, 2024)

Pre-training Differentially Private Models with Limited Public Data. - Zhiqi Bu; Xinwei Zhang 001; Sheng Zha; Mingyi Hong 001; George Karypis (NeurIPS, 2024)

SLTrain: a sparse plus low rank approach for parameter and memory efficient pretraining. - Andi Han; Jiaxiang Li; Wei Huang; Mingyi Hong 001; Akiko Takeda; Pratik Kumar Jawanpuria; Bamdev Mishra (NeurIPS, 2024)

Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment. - Jiaxiang Li; Siliang Zeng; Hoi-To Wai; Chenliang Li; Alfredo García 001; Mingyi Hong 001 (NeurIPS, 2024)

Unraveling the Gradient Descent Dynamics of Transformers. - Bingqing Song; Boran Han; Shuai Zhang 007; Jie Ding 002; Mingyi Hong 001 (NeurIPS, 2024)

RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees. - Xun Xian; Ganghua Wang; Xuan Bi; Jayanth Srinivasa; Ashish Kundu; Mingyi Hong 001; Jie Ding 002 (NeurIPS, 2024)

Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models. - Yimeng Zhang; Xin Chen; Jinghan Jia; Yihua Zhang; Chongyu Fan; Jiancheng Liu; Mingyi Hong 001; Ke Ding; Sijia Liu 001 (NeurIPS, 2024)

SHARE: A Distributed Learning Framework For Multivariate Time-Series Forecasting. - Wei Ye 009; Prashant Khanduri; Jiangweizhi Peng; Feng Tian; Jun Gao; Jie Ding 002; Zhi-Li Zhang; Mingyi Hong 001 (SPAWC, 2024)

A Survey of Advances in Optimization Methods for Wireless Communication System Design. - Ya-Feng Liu; Tsung-Hui Chang; Mingyi Hong 001; Zheyu Wu; Anthony Man-Cho So; Eduard A. Jorswieck; Wei Yu 001 (CoRR, 2024)

Problem-Parameter-Free Decentralized Nonconvex Stochastic Optimization. - Jiaxiang Li; Xuxing Chen; Shiqian Ma; Mingyi Hong 001 (CoRR, 2024)

EMC2: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence. - Chung-Yiu Yau; Hoi-To Wai; Parameswaran Raman; Soumajyoti Sarkar; Mingyi Hong 001 (CoRR, 2024)

Tuning-Free Alignment of Diffusion Models with Direct Noise Optimization. - Zhiwei Tang; Jiangweizhi Peng; Jiasheng Tang; Mingyi Hong 001; Fan Wang 019; Tsung-Hui Chang (CoRR, 2024)

Joint Demonstration and Preference Learning Improves Policy Alignment with Human Feedback. - Chenliang Li; Siliang Zeng; Zeyi Liao; Jiaxiang Li; Dongyeop Kang; Alfredo García 001; Mingyi Hong 001 (CoRR, 2024)

On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains. - Xun Xian; Ganghua Wang; Xuan Bi; Jayanth Srinivasa; Ashish Kundu; Charles Fleming; Mingyi Hong 001; Jie Ding 002 (CoRR, 2024)

Downlink MIMO Channel Estimation from Bits: Recoverability and Algorithm. - Rajesh Shrestha; Mingjie Shao; Mingyi Hong 001; Wing-Kin Ma; Xiao Fu 001 (CoRR, 2024)

Safeguarding Text-to-Image Generation via Inference-Time Prompt-Noise Optimization. - Jiangweizhi Peng; Zhiwei Tang; Gaowen Liu; Charles Fleming; Mingyi Hong 001 (CoRR, 2024)

First-Order Algorithms Without Lipschitz Gradient: A Sequential Local Optimization Approach. - Junyu Zhang; Mingyi Hong 001 (INFORMS J. Optim., 2024)

GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data. - Xinwei Zhang 001; Mingyi Hong 001; Jie Chen 007 (Trans. Mach. Learn. Res., 2024)

Hybrid Federated Learning for Feature & Sample Heterogeneity: Algorithms and Implementation. - Xinwei Zhang 001; Wotao Yin; Mingyi Hong 001; Tianyi Chen (Trans. Mach. Learn. Res., 2024)

An Introduction to Bilevel Optimization: Foundations and applications in signal processing and machine learning. - Yihua Zhang; Prashant Khanduri; Ioannis C. Tsaknakis; Yuguang Yao; Mingyi Hong 001; Sijia Liu 001 (IEEE Signal Process. Mag., 2024)

On the Local Linear Rate of Consensus on the Stiefel Manifold. - Shixiang Chen; Alfredo García 001; Mingyi Hong 001; Shahin Shahrampour (IEEE Trans. Autom. Control., 2024)

Guest Editorial Advanced Optimization Theory and Algorithms for Next-Generation Wireless Communication Networks. - Ya-Feng Liu; Tsung-Hui Chang; Mingyi Hong 001; Anthony Man-Cho So; Eduard A. Jorswieck; Wei Yu 001 (IEEE J. Sel. Areas Commun., 2024)

A Survey of Recent Advances in Optimization Methods for Wireless Communications. - Ya-Feng Liu; Tsung-Hui Chang; Mingyi Hong 001; Zheyu Wu; Anthony Man-Cho So; Eduard A. Jorswieck; Wei Yu 001 (IEEE J. Sel. Areas Commun., 2024)

Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality. - Ruijia Zhang; Siliang Zeng; Chenliang Li; Alfredo García 001; Mingyi Hong 001 (AISTATS, 2025)

DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction. - Xinwei Zhang 001; Zhiqi Bu; Borja Balle; Mingyi Hong 001; Meisam Razaviyayn; Vahab Mirrokni (ICLR, 2025)

Joint Reward and Policy Learning with Demonstrations and Human Feedback Improves Alignment. - Chenliang Li; Siliang Zeng; Zeyi Liao; Jiaxiang Li; Dongyeop Kang; Alfredo García 001; Mingyi Hong 001 (ICLR, 2025)

Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs. - Siyan Zhao; Mingyi Hong 001; Yang Liu 165; Devamanyu Hazarika; Kaixiang Lin (ICLR, 2025)

Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate. - Xiaomeng Jin; Zhiqi Bu; Bhanukiran Vinzamuri; Anil Ramakrishna; Kai-Wei Chang; Volkan Cevher; Mingyi Hong 001 (NAACL (Long Papers), 2025)

Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees. - Siliang Zeng; Mingyi Hong 001; Alfredo García 001 (Oper. Res., 2025)

νSAM: Memory-Efficient Sharpness-Aware Minimization via Nuclear Norm Constraints. - Thomas Pethick; Parameswaran Raman; Lenon Minorics; Mingyi Hong 001; Shoham Sabach; Volkan Cevher (Trans. Mach. Learn. Res., 2025)

BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning. - Han Zhong 001; Yutong Yin; Shenao Zhang; Xiaojun Xu; Yuanxin Liu; Yifei Zuo; Zhihan Liu; Boyi Liu 001; Sirui Zheng; Hongyi Guo; Liwei Wang 001; Mingyi Hong 001; et al. (CoRR, 2025)

Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond. - Chongyu Fan; Jinghan Jia; Yihua Zhang; Anil Ramakrishna; Mingyi Hong 001; Sijia Liu 001 (CoRR, 2025)

RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models. - Quan Wei 001; Chung-Yiu Yau; Hoi-To Wai; Yang Zhao; Dongyeop Kang; Youngsuk Park; Mingyi Hong 001 (CoRR, 2025)

LUME: LLM Unlearning with Multitask Evaluations. - Anil Ramakrishna; Yixin Wan; Xiaomeng Jin; Kai-Wei Chang; Zhiqi Bu; Bhanukiran Vinzamuri; Volkan Cevher; Mingyi Hong 001; Rahul Gupta 001 (CoRR, 2025)

Effectively Steer LLM To Follow Preference via Building Confident Directions. - Bingqing Song; Boran Han; Shuai Zhang 007; Hao Wang 014; Haoyang Fang; Bonan Min; Yuyang Wang 001; Mingyi Hong 001 (CoRR, 2025)

From Demonstrations to Rewards: Alignment Without Explicit Human Preferences. - Siliang Zeng; Yao Liu 009; Huzefa Rangwala; George Karypis; Mingyi Hong 001; Rasool Fakoor (CoRR, 2025)

SemEval-2025 Task 4: Unlearning sensitive content from Large Language Models. - Anil Ramakrishna; Yixin Wan; Xiaomeng Jin; Kai-Wei Chang; Zhiqi Bu; Bhanukiran Vinzamuri; Volkan Cevher; Mingyi Hong 001; Rahul Gupta 001 (CoRR, 2025)

Learning Explainable Dense Reward Shapes via Bayesian Optimization. - Ryan Koo; Ian Yang; Vipul Raheja; Mingyi Hong 001; Kwang-Sung Jun; Dongyeop Kang (CoRR, 2025)

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows. - Wenhao Li 001; Bo Jin 003; Mingyi Hong 001; Changhong Lu; Xiangfeng Wang (CoRR, 2025)

InfantAgent-Next: A Multimodal Generalist Agent for Automated Computer Interaction. - Bin Lei; Weitai Kang; Zijian Zhang; Winson Chen; Xi Xie; Shan Zuo; Mimi Xie; Ali Payani; Mingyi Hong 001; Yan Yan; Caiwen Ding (CoRR, 2025)

Reinforcing Multi-Turn Reasoning in LLM Agents via Turn-Level Credit Assignment. - Siliang Zeng; Quan Wei 001; William Brown; Oana Frunza; Yuriy Nevmyvaka; Mingyi Hong 001 (CoRR, 2025)

An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems. - Fangqiao Tian; An Luo; Jin Du; Xun Xian; Robert Specht; Ganghua Wang; Xuan Bi; Jiawei Zhou; Jayanth Srinivasa; Ashish Kundu; Charles Fleming; Rui Zhang 028; et al. (CoRR, 2025)

Scalable Parameter and Memory Efficient Pretraining for LLM: Recent Algorithmic Advances and Benchmarking. - Athanasios Glentis; Jiaxiang Li; Qiulin Shang; Andi Han; Ioannis C. Tsaknakis; Quan Wei 001; Mingyi Hong 001 (CoRR, 2025)

EPiC: Towards Lossless Speedup for Reasoning Training through Edge-Preserving CoT Condensation. - Jinghan Jia; Hadi Reisizadeh; Chongyu Fan; Nathalie Baracaldo; Mingyi Hong 001; Sijia Liu 001 (CoRR, 2025)

BLUR: A Bi-Level Optimization Approach for LLM Unlearning. - Hadi Reisizadeh; Jinghan Jia; Zhiqi Bu; Bhanukiran Vinzamuri; Anil Ramakrishna; Kai-Wei Chang; Volkan Cevher; Sijia Liu 001; Mingyi Hong 001 (CoRR, 2025)

AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science. - An Luo; Xun Xian; Jin Du; Fangqiao Tian; Ganghua Wang; Ming Zhong; Shengchun Zhao; Xuan Bi; Zirui Liu 001; Jiawei Zhou; Jayanth Srinivasa; Ashish Kundu; et al. (CoRR, 2025)

A Minimalist Optimizer Design for LLM Pretraining. - Athanasios Glentis; Jiaxiang Li; Andi Han; Mingyi Hong 001 (CoRR, 2025)

Aligning Frozen LLMs by Reinforcement Learning: An Iterative Reweight-then-Optimize Approach. - Xinnan Zhang; Chenliang Li; Siliang Zeng; Jiaxiang Li; Zhongruo Wang; Kaixiang Lin; Songtao Lu; Alfredo García 001; Mingyi Hong 001 (CoRR, 2025)