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Mung Chiang

2001–2026 年に発表

382
論文数
26,666
被引用数
74
h 指数
257
i10 指数

被引用数

Mung Chiang の年別被引用数1905 年: 被引用 6 件1975 年: 被引用 1 件2001 年: 被引用 3 件2002 年: 被引用 11 件2003 年: 被引用 15 件2004 年: 被引用 33 件2005 年: 被引用 94 件2006 年: 被引用 275 件2007 年: 被引用 419 件2008 年: 被引用 556 件2009 年: 被引用 727 件2010 年: 被引用 868 件2011 年: 被引用 1,003 件2012 年: 被引用 1,072 件2013 年: 被引用 1,112 件2014 年: 被引用 1,246 件2015 年: 被引用 1,170 件2016 年: 被引用 1,203 件2017 年: 被引用 1,245 件2018 年: 被引用 1,388 件2019 年: 被引用 1,434 件2020 年: 被引用 1,235 件2021 年: 被引用 965 件2022 年: 被引用 814 件2023 年: 被引用 709 件2024 年: 被引用 606 件2025 年: 被引用 456 件2026 年: 被引用 147 件1906〜1974 年は被引用が無いため表示していません1976〜2000 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・地域の世界地図アメリカ合衆国: 引用元論文 4,643 件、この内訳の 23%中国: 引用元論文 3,811 件、この内訳の 18.9%カナダ: 引用元論文 1,070 件、この内訳の 5.3%イギリス: 引用元論文 915 件、この内訳の 4.5%韓国: 引用元論文 706 件、この内訳の 3.5%フランス: 引用元論文 677 件、この内訳の 3.4%香港: 引用元論文 677 件、この内訳の 3.4%ドイツ: 引用元論文 636 件、この内訳の 3.1%インド: 引用元論文 564 件、この内訳の 2.8%オーストラリア: 引用元論文 539 件、この内訳の 2.7%イタリア: 引用元論文 449 件、この内訳の 2.2%シンガポール: 引用元論文 414 件、この内訳の 2%
0%23%その他 25.2%

機関

分野

  • Computer Science62.8%
  • Engineering30.4%
  • Decision Sciences1.8%
  • Social Sciences1.3%
  • Physics and Astronomy0.9%
  • Business, Management and Accounting0.8%
  • その他2%

トピック

  • Advanced MIMO Systems Optimization6.9%
  • Cooperative Communication and Network Coding6.5%
  • Advanced Wireless Network Optimization5.8%
  • IoT and Edge/Fog Computing4.7%
  • Software-Defined Networks and 5G3.9%
  • Wireless Networks and Protocols3.2%
  • その他69%

共著者

全論文

検索で開く
  1. RobustBench: a standardized adversarial robustness benchmark

    著者: Francesco Croce, Maksym Andriushchenko, Vikash Sehwag, Edoardo Debenedetti, Nicolas Flammarion, Mung Chiang, Prateek Mittal, Matthias Hein - NeurIPS Datasets and Benchmarks 2021 被引用: 931

  2. Fog and IoT: An Overview of Research Opportunities

    著者: Mung Chiang, Tao Zhang - IEEE Internet of Things Journal, IEEE Internet Things J. 2016 被引用: 2,346

  3. A Tutorial on Decomposition Methods for Network Utility Maximization

    著者: Daniel Pérez Palomar, Mung Chiang - IEEE Journal on Selected Areas in Communications, IEEE J. Sel. Areas Commun. 2006 被引用: 1,674

  4. SSD: A Unified Framework for Self-Supervised Outlier Detection

    著者: Vikash Sehwag, Mung Chiang, Prateek Mittal - ICLR 2021 被引用: 433

  5. Layering as Optimization Decomposition: A Mathematical Theory of Network Architectures

    著者: Mung Chiang, Steven H. Low, A. Robert Calderbank, John C. Doyle - IEEE, Proc. IEEE 2007 被引用: 1,381

  6. Power Control By Geometric Programming

    著者: Mung Chiang, Chee-Wei Tan, Daniel Pérez Palomar, Daniel O'Neill, David Julian - IEEE Transactions on Wireless Communications, IEEE Trans. Wirel. Commun. 2007 被引用: 907

  7. Federated Split Learning With Joint Personalization-Generalization for Inference-Stage Optimization in Wireless Edge Networks

    著者: Dong-Jun Han, Do-Yeon Kim, Minseok Choi, David R. Nickel, Jaekyun Moon, Mung Chiang, Christopher G. Brinton - IEEE Transactions on Mobile Computing, IEEE Trans. Mob. Comput. 2023 被引用: 30

  8. Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?

    著者: Vikash Sehwag, Saeed Mahloujifar, Tinashe Handina, Sihui Dai, Chong Xiang, Mung Chiang, Prateek Mittal - ICLR 2022 被引用: 158

  9. Rethinking virtual network embedding: substrate support for path splitting and migration

    著者: Minlan Yu, Yung Yi, Jennifer Rexford, Mung Chiang - ACM SIGCOMM Computer Communication Review 2008 被引用: 1,232

  10. DARTS: Deceiving Autonomous Cars with Toxic Signs

    著者: Chawin Sitawarin, Arjun Nitin Bhagoji, Arsalan Mosenia, Mung Chiang, Prateek Mittal - arXiv (Cornell University), CoRR 2018 被引用: 180

  11. Toward Cooperative Federated Learning Over Heterogeneous Edge/Fog Networks

    著者: Su Wang, Seyyedali Hosseinalipour, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Weifeng Su, Mung Chiang - IEEE Communications Magazine, IEEE Commun. Mag. 2023 被引用: 25

  12. An Empirical Study of 5G: Effect of Edge on Transport Protocol and Application Performance

    著者: Hyoyoung Lim, Jinsung Lee, Jongyun Lee, Sandesh Dhawaskar Sathyanarayana, Junseon Kim, Anh Nguyen, Kwang Taik Kim, Youngbin Im, Mung Chiang, Dirk Grunwald, Kyunghan Lee, Sangtae Ha - IEEE Transactions on Mobile Computing, IEEE Trans. Mob. Comput. 2023 被引用: 24

  13. Channel capacity and state estimation for state-dependent Gaussian channels

    著者: Arak Sutivong, Mung Chiang, Thomas M. Cover, Young-Han Kim - IEEE Transactions on Information Theory, IEEE Trans. Inf. Theory 2005 被引用: 132

  14. Learning from Interventions: Human-robot interaction as both explicit and implicit feedback

    著者: Jonathan C. Spencer, Sanjiban Choudhury, Matt Barnes, Matthew Schmittle, Mung Chiang, Peter J. Ramadge, Siddhartha S. Srinivasa - Robotics: Science and Systems XVI 2020 被引用: 42

  15. Multiresource Allocation: Fairness-Efficiency Tradeoffs in a Unifying Framework

    著者: Carlee Joe-Wong, Soumya Sen, Tian Lan, Mung Chiang - IEEE/ACM Transactions on Networking, IEEE/ACM Trans. Netw. 2013 被引用: 149

  16. Expert Intervention Learning

    著者: Jonathan C. Spencer, Sanjiban Choudhury, Matthew Barnes, Matthew Schmittle, Mung Chiang, Peter J. Ramadge, Siddhartha S. Srinivasa - Autonomous Robots, Auton. Robots 2021 被引用: 27

  17. Behavior-Based Grade Prediction for MOOCs Via Time Series Neural Networks

    著者: Tsung-Yen Yang, Christopher G. Brinton, Carlee Joe-Wong, Mung Chiang - IEEE Journal of Selected Topics in Signal Processing, IEEE J. Sel. Top. Signal Process. 2017 被引用: 152

  18. MIDU: enabling MIMO full duplex

    著者: Ehsan Aryafar, Mohammad Ali Khojastepour, Karthikeyan Sundaresan, Sampath Rangarajan, Mung Chiang - conference on Mobile computing and networking, MobiCom 2012 被引用: 320

  19. Minimizing Age-of-Information in Heterogeneous Multi-Channel Systems: A New Partial-Index Approach

    著者: Yihan Zou, Kwang Taik Kim, Xiaojun Lin, Mung Chiang - Twenty-second International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, MobiHoc 2021 被引用: 23

  20. Analyzing the Robustness of Open-World Machine Learning

    著者: Vikash Sehwag, Arjun Nitin Bhagoji, Liwei Song, Chawin Sitawarin, Daniel Cullina, Mung Chiang, Prateek Mittal - Workshop on Artificial Intelligence and Security, AISec@CCS 2019 被引用: 57

  21. Distributed robust optimization (DRO), part I: framework and example

    著者: Kai Yang, Jianwei Huang, Yihong Wu, Xiaodong Wang, Mung Chiang - Optimization and Engineering 2012 被引用: 35

  22. Early Detection Prediction of Learning Outcomes in Online Short-Courses via Learning Behaviors

    著者: Weiyu Chen, Christopher G. Brinton, Da Cao, Amanda Mason-Singh, Charlton Lu, Mung Chiang - IEEE Transactions on Learning Technologies, IEEE Trans. Learn. Technol. 2018 被引用: 63

  23. Orchestrating Federated Learning in Space-Air- Ground Integrated Networks: Adaptive Data Offloading and Seamless Handover

    著者: Dong-Jun Han, Wenzhi Fang, Seyyedali Hosseinalipour, Mung Chiang, Christopher G. Brinton - IEEE Journal on Selected Areas in Communications, IEEE J. Sel. Areas Commun. 2024 被引用: 10

  24. Alternative Distributed Algorithms for Network Utility Maximization: Framework and Applications

    著者: Daniel P. Palomar, Mung Chiang - IEEE Transactions on Automatic Control, IEEE Trans. Autom. Control. 2007 被引用: 301