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Mingyi Hong

Active 2005–2026

338
Papers
17,915
Citations
67
h-index
191
i10-index

Citations

Citations per year for Mingyi Hong1967: 1 citations1994: 1 citations2001: 1 citations2007: 2 citations2008: 2 citations2009: 2 citations2010: 4 citations2011: 13 citations2012: 36 citations2013: 87 citations2014: 256 citations2015: 366 citations2016: 434 citations2017: 571 citations2018: 660 citations2019: 854 citations2020: 1,117 citations2021: 1,261 citations2022: 1,033 citations2023: 1,124 citations2024: 1,123 citations2025: 1,162 citations2026: 492 citations1968–1993: no citations, so these years are not shown1995–2000: no citations, so these years are not shown2002–2006: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 3,512 citing papers, 31.1% of this breakdownUnited States: 2,275 citing papers, 20.1% of this breakdownUnited Kingdom: 554 citing papers, 4.9% of this breakdownCanada: 526 citing papers, 4.7% of this breakdownHong Kong: 453 citing papers, 4% of this breakdownSingapore: 323 citing papers, 2.9% of this breakdownAustralia: 321 citing papers, 2.8% of this breakdownSouth Korea: 311 citing papers, 2.7% of this breakdownGermany: 260 citing papers, 2.3% of this breakdownFrance: 237 citing papers, 2.1% of this breakdownItaly: 211 citing papers, 1.9% of this breakdownIndia: 205 citing papers, 1.8% of this breakdown
0%31.1%Other 18.7%

Institutions

Fields

  • Engineering47.2%
  • Computer Science43.7%
  • Mathematics2.5%
  • Medicine1.4%
  • Decision Sciences1%
  • Physics and Astronomy0.9%
  • Other3.3%

Topics

  • Advanced MIMO Systems Optimization7.4%
  • Sparse and Compressive Sensing Techniques5.3%
  • Stochastic Gradient Optimization Techniques4.2%
  • Cooperative Communication and Network Coding3.5%
  • Advanced Wireless Communication Technologies3.3%
  • Energy Harvesting in Wireless Networks2.7%
  • Other73.6%

Coauthors

All papers

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  1. A Unified Convergence Analysis of Block Successive Minimization Methods for Nonsmooth Optimization

    Authors: Meisam Razaviyayn, Mingyi Hong, Zhi-Quan Luo - SIAM Journal on Optimization, SIAM J. Optim. 2013 cited by 1,314

  2. Learning to Optimize: Training Deep Neural Networks for Interference Management

    Authors: Haoran Sun, Xiangyi Chen, Qingjiang Shi, Mingyi Hong, Xiao Fu, Nicholas D. Sidiropoulos - IEEE Transactions on Signal Processing, IEEE Trans. Signal Process. 2018 cited by 870

  3. Penalty Dual Decomposition Method for Nonsmooth Nonconvex Optimization - Part I: Algorithms and Convergence Analysis

    Authors: Qingjiang Shi, Mingyi Hong - IEEE Transactions on Signal Processing, IEEE Trans. Signal Process. 2020 cited by 260

  4. FedPD: A Federated Learning Framework With Adaptivity to Non-IID Data

    Authors: Xinwei Zhang, Mingyi Hong, Sairaj V. Dhople, Wotao Yin, Yang Liu - IEEE Transactions on Signal Processing, IEEE Trans. Signal Process. 2021 cited by 171

  5. A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data: With applications in machine learning and signal processing

    Authors: Mingyi Hong, Meisam Razaviyayn, Zhi-Quan Luo, Jong-Shi Pang - IEEE Signal Processing Magazine, IEEE Signal Process. Mag. 2015 cited by 467

  6. Reinforcing Multi-Turn Reasoning in LLM Agents via Turn-Level Credit Assignment

    Authors: Wei, Quan, Siliang Zeng, Chenliang Li, William M. Brown, Oana Frunza, Deng, Wei, Anderson Schneider, Yuriy Nevmyvaka, Yang Zhao, Alfredo Garcia, Mingyi Hong - ArXiv.org, CoRR 2025 cited by 67

  7. FedBCD: A Communication-Efficient Collaborative Learning Framework for Distributed Features

    Authors: Yang Liu, Xinwei Zhang, Yan Kang, Liping Li, Tianjian Chen, Mingyi Hong, Qiang Yang - IEEE Transactions on Signal Processing, IEEE Trans. Signal Process. 2022 cited by 100

  8. Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark

    Authors: Yihua Zhang, Pingzhi Li, Junyuan Hong, Jiaxiang Li, Yimeng Zhang, Wenqing Zheng, Pin-Yu Chen, Jason D. Lee, Wotao Yin, Mingyi Hong, Zhangyang Wang, Sijia Liu, Tianlong Chen - ICML 2024 cited by 147

  9. Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective

    Authors: Kaidi Xu, Hongge Chen, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Mingyi Hong, Xue Lin - Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019 cited by 336

  10. Deep Spectrum Cartography: Completing Radio Map Tensors Using Learned Neural Models

    Authors: Sagar Shrestha, Xiao Fu, Mingyi Hong - IEEE Transactions on Signal Processing, IEEE Trans. Signal Process. 2022 cited by 80

  11. Multi-Agent Distributed Optimization via Inexact Consensus ADMM

    Authors: Tsung-Hui Chang, Mingyi Hong, Xiangfeng Wang - IEEE Transactions on Signal Processing, IEEE Trans. Signal Process. 2014 cited by 448

  12. Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models

    Authors: Yimeng Zhang, Xin Chen, Jinghan Jia, Yihua Zhang, Chongyu Fan, Jiancheng Liu, Mingyi Hong, Ke Ding, Sijia Liu - Advances in Neural Information Processing Systems 37, NeurIPS 2024 cited by 173

  13. Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs

    Authors: Siyan Zhao, Mingyi Hong, Yang Liu, Devamanyu Hazarika, Kaixiang Lin - ICLR 2025 cited by 116

  14. On the linear convergence of the alternating direction method of multipliers

    Authors: Mingyi Hong, Zhi-Quan Luo - Mathematical Programming, Math. Program. 2016 cited by 626

  15. A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic

    Authors: Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang - arXiv (Cornell University), CoRR 2020 cited by 146

  16. Nonconvex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances

    Authors: Meisam Razaviyayn, Tianjian Huang, Songtao Lu, Maher Nouiehed, Maziar Sanjabi, Mingyi Hong - IEEE Signal Processing Magazine, IEEE Signal Process. Mag. 2020 cited by 113

  17. On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization

    Authors: Xiangyi Chen, Sijia Liu, Ruoyu Sun, Mingyi Hong - ICLR (Poster) 2019 cited by 382

  18. Spectrum Cartography via Coupled Block-Term Tensor Decomposition

    Authors: Guoyong Zhang, Xiao Fu, Jun Wang, Xi-Le Zhao, Mingyi Hong - IEEE Transactions on Signal Processing, IEEE Trans. Signal Process. 2020 cited by 83

  19. Transmit Solutions for MIMO Wiretap Channels using Alternating Optimization

    Authors: Qiang Li, Mingyi Hong, Hoi-To Wai, Ya-Feng Liu, Wing-Kin Ma, Zhi-Quan Luo - IEEE Journal on Selected Areas in Communications, IEEE J. Sel. Areas Commun. 2013 cited by 258

  20. Asynchronous Distributed ADMM for Large-Scale Optimization - Part I: Algorithm and Convergence Analysis

    Authors: Tsung-Hui Chang, Mingyi Hong, Wei-Cheng Liao, Xiangfeng Wang - IEEE Transactions on Signal Processing, IEEE Trans. Signal Process. 2016 cited by 233

  21. A Two-Timescale Stochastic Algorithm Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic

    Authors: Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang - SIAM Journal on Optimization, SIAM J. Optim. 2023 cited by 54

  22. Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond

    Authors: Chongyu Fan, Jinghan Jia, Yihua Zhang, Anil Ramakrishna, Mingyi Hong, Sijia Liu - ICML 2025 cited by 70

  23. Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering

    Authors: Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong - ICML 2017 cited by 992

  24. A deep learning method for online capacity estimation of lithium-ion batteries

    Authors: Sheng Shen, Mohammadkazem Sadoughi, Xiangyi Chen, Mingyi Hong, Chao Hu - Journal of Energy Storage 2019 cited by 390