litlas
ログインアカウント作成

Mingyi Hong

2005–2026 年に発表

338
論文数
17,915
被引用数
67
h 指数
191
i10 指数

被引用数

Mingyi Hong の年別被引用数1967 年: 被引用 1 件1994 年: 被引用 1 件2001 年: 被引用 1 件2007 年: 被引用 2 件2008 年: 被引用 2 件2009 年: 被引用 2 件2010 年: 被引用 4 件2011 年: 被引用 13 件2012 年: 被引用 36 件2013 年: 被引用 87 件2014 年: 被引用 256 件2015 年: 被引用 366 件2016 年: 被引用 434 件2017 年: 被引用 571 件2018 年: 被引用 660 件2019 年: 被引用 854 件2020 年: 被引用 1,117 件2021 年: 被引用 1,261 件2022 年: 被引用 1,033 件2023 年: 被引用 1,124 件2024 年: 被引用 1,123 件2025 年: 被引用 1,162 件2026 年: 被引用 492 件1968〜1993 年は被引用が無いため表示していません1995〜2000 年は被引用が無いため表示していません2002〜2006 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図中国: 引用元論文 3,512 件、この内訳の 31.1%アメリカ合衆国: 引用元論文 2,275 件、この内訳の 20.1%イギリス: 引用元論文 554 件、この内訳の 4.9%カナダ: 引用元論文 526 件、この内訳の 4.7%香港: 引用元論文 453 件、この内訳の 4%シンガポール: 引用元論文 323 件、この内訳の 2.9%オーストラリア: 引用元論文 321 件、この内訳の 2.8%韓国: 引用元論文 311 件、この内訳の 2.7%ドイツ: 引用元論文 260 件、この内訳の 2.3%フランス: 引用元論文 237 件、この内訳の 2.1%イタリア: 引用元論文 211 件、この内訳の 1.9%インド: 引用元論文 205 件、この内訳の 1.8%
0%31.1%その他 18.7%

機関

分野

  • Engineering47.2%
  • Computer Science43.7%
  • Mathematics2.5%
  • Medicine1.4%
  • Decision Sciences1%
  • Physics and Astronomy0.9%
  • その他3.3%

トピック

  • 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%
  • その他73.6%

共著者

全論文

検索で開く
  1. A Unified Convergence Analysis of Block Successive Minimization Methods for Nonsmooth Optimization

    著者: Meisam Razaviyayn, Mingyi Hong, Zhi-Quan Luo - SIAM Journal on Optimization, SIAM J. Optim. 2013 被引用: 1,314

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

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

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

    著者: Qingjiang Shi, Mingyi Hong - IEEE Transactions on Signal Processing, IEEE Trans. Signal Process. 2020 被引用: 260

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

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

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

    著者: Mingyi Hong, Meisam Razaviyayn, Zhi-Quan Luo, Jong-Shi Pang - IEEE Signal Processing Magazine, IEEE Signal Process. Mag. 2015 被引用: 467

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

    著者: 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 被引用: 67

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

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

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

    著者: 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 被引用: 147

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

    著者: 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 被引用: 336

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

    著者: Sagar Shrestha, Xiao Fu, Mingyi Hong - IEEE Transactions on Signal Processing, IEEE Trans. Signal Process. 2022 被引用: 80

  11. Multi-Agent Distributed Optimization via Inexact Consensus ADMM

    著者: Tsung-Hui Chang, Mingyi Hong, Xiangfeng Wang - IEEE Transactions on Signal Processing, IEEE Trans. Signal Process. 2014 被引用: 448

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

    著者: 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 被引用: 173

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

    著者: Siyan Zhao, Mingyi Hong, Yang Liu, Devamanyu Hazarika, Kaixiang Lin - ICLR 2025 被引用: 116

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

    著者: Mingyi Hong, Zhi-Quan Luo - Mathematical Programming, Math. Program. 2016 被引用: 626

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

    著者: Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang - arXiv (Cornell University), CoRR 2020 被引用: 146

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

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

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

    著者: Xiangyi Chen, Sijia Liu, Ruoyu Sun, Mingyi Hong - ICLR (Poster) 2019 被引用: 382

  18. Spectrum Cartography via Coupled Block-Term Tensor Decomposition

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

  19. Transmit Solutions for MIMO Wiretap Channels using Alternating Optimization

    著者: 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 被引用: 258

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

    著者: Tsung-Hui Chang, Mingyi Hong, Wei-Cheng Liao, Xiangfeng Wang - IEEE Transactions on Signal Processing, IEEE Trans. Signal Process. 2016 被引用: 233

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

    著者: Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang - SIAM Journal on Optimization, SIAM J. Optim. 2023 被引用: 54

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

    著者: Chongyu Fan, Jinghan Jia, Yihua Zhang, Anil Ramakrishna, Mingyi Hong, Sijia Liu - ICML 2025 被引用: 70

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

    著者: Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong - ICML 2017 被引用: 992

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

    著者: Sheng Shen, Mohammadkazem Sadoughi, Xiangyi Chen, Mingyi Hong, Chao Hu - Journal of Energy Storage 2019 被引用: 390