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Ming Ding

1997–2026 年に発表

708
論文数
46,778
被引用数
99
h 指数
426
i10 指数

被引用数

Ming Ding の年別被引用数1975 年: 被引用 1 件1980 年: 被引用 1 件1986 年: 被引用 1 件1988 年: 被引用 1 件1996 年: 被引用 1 件1997 年: 被引用 1 件1999 年: 被引用 10 件2000 年: 被引用 13 件2001 年: 被引用 13 件2002 年: 被引用 36 件2003 年: 被引用 45 件2004 年: 被引用 36 件2005 年: 被引用 40 件2006 年: 被引用 49 件2007 年: 被引用 58 件2008 年: 被引用 60 件2009 年: 被引用 71 件2010 年: 被引用 58 件2011 年: 被引用 59 件2012 年: 被引用 79 件2013 年: 被引用 83 件2014 年: 被引用 104 件2015 年: 被引用 161 件2016 年: 被引用 321 件2017 年: 被引用 463 件2018 年: 被引用 588 件2019 年: 被引用 916 件2020 年: 被引用 1,418 件2021 年: 被引用 1,758 件2022 年: 被引用 2,249 件2023 年: 被引用 3,035 件2024 年: 被引用 4,598 件2025 年: 被引用 4,995 件2026 年: 被引用 1,567 件2027 年: 被引用 1 件1976〜1979 年は被引用が無いため表示していません1981〜1985 年は被引用が無いため表示していません1987 年は被引用が無いため表示していません1989〜1995 年は被引用が無いため表示していません1998 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 6,803 件、この内訳の 26.5%アメリカ合衆国: 引用元論文 3,687 件、この内訳の 14.3%イギリス: 引用元論文 1,340 件、この内訳の 5.2%オーストラリア: 引用元論文 1,043 件、この内訳の 4.1%インド: 引用元論文 912 件、この内訳の 3.6%カナダ: 引用元論文 846 件、この内訳の 3.3%韓国: 引用元論文 770 件、この内訳の 3%ドイツ: 引用元論文 644 件、この内訳の 2.5%イタリア: 引用元論文 600 件、この内訳の 2.3%日本: 引用元論文 594 件、この内訳の 2.3%香港: 引用元論文 583 件、この内訳の 2.3%シンガポール: 引用元論文 546 件、この内訳の 2.1%
0%26.5%その他 28.5%

機関

分野

  • Computer Science52.2%
  • Engineering21.7%
  • Medicine11%
  • Biochemistry, Genetics and Molecular Biology5.3%
  • Social Sciences1.3%
  • Physics and Astronomy1.1%
  • その他7.4%

トピック

  • Privacy-Preserving Technologies in Data3.2%
  • Topic Modeling3.1%
  • Generative Adversarial Networks and Image Synthesis3.1%
  • Multimodal Machine Learning Applications2.7%
  • Advanced MIMO Systems Optimization2.2%
  • IoT and Edge/Fog Computing2.2%
  • その他83.5%

共著者

全論文

検索で開く
  1. CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

    著者: Zhuoyi Yang, Jiayan Teng, Wendi Zheng, Ming Ding, Shiyu Huang, Jiazheng Xu, Yuanming Yang, Wenyi Hong, Xiaohan Zhang, Guanyu Feng, Da Yin, Xiaotao Gu, Yuxuan Zhang, Weihan Wang, Yean Cheng, Ting Liu, Bin Xu, Yuxiao Dong, Jie Tang - ICLR 2025 被引用: 2,146

  2. Federated Learning for Internet of Things: A Comprehensive Survey

    著者: Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, H. Vincent Poor - IEEE Communications Surveys & Tutorials, IEEE Commun. Surv. Tutorials 2021 被引用: 1,321

  3. CogVLM: Visual Expert for Pretrained Language Models

    著者: Weihan Wang, Qingsong Lv, Wenmeng Yu, Wenyi Hong, Ji Qi, Yan Wang, Junhui Ji, Zhuoyi Yang, Lei Zhao, Xixuan Song, Jiazheng Xu, Keqin Chen, Bin Xu, Juanzi Li, Yuxiao Dong, Ming Ding, Jie Tang - NeurIPS 2024 被引用: 827

  4. CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

    著者: Wenyi Hong, Ming Ding, Wendi Zheng, Xinghan Liu, Jie Tang - ICLR 2023 被引用: 1,140

  5. 6G Internet of Things: A Comprehensive Survey

    著者: Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, Dusit Niyato, Octavia A. Dobre, H. Vincent Poor - IEEE Internet of Things Journal, IEEE Internet Things J. 2021 被引用: 1,306

  6. GLM-130B: An Open Bilingual Pre-trained Model

    著者: Aohan Zeng, Xiao Liu, Zhengxiao Du, Zihan Wang, Hanyu Lai, Ming Ding, Zhuoyi Yang, Yifan Xu, Wendi Zheng, Xiao Xia, Weng Lam Tam, Zixuan Ma, Yufei Xue, Jidong Zhai, Wenguang Chen, Zhiyuan Liu, Peng Zhang, Yuxiao Dong, Jie Tang - ICLR 2023 被引用: 1,288

  7. GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

    著者: Jiezhong Qiu, Qibin Chen, Yuxiao Dong, Jing Zhang, Hongxia Yang, Ming Ding, Kuansan Wang, Jie Tang - SIGKDD International Conference on Knowledge Discovery & Data Mining 2020 被引用: 758

  8. GLM: General Language Model Pretraining with Autoregressive Blank Infilling

    著者: Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, Jie Tang - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2022 被引用: 948

  9. CogVLM2: Visual Language Models for Image and Video Understanding

    著者: Wenyi Hong, Weihan Wang, Ming Ding, Wenmeng Yu, Qingsong Lv, Yan Wang, Yean Cheng, Shiyu Huang, Junhui Ji, Xue Zhao, Lei Zhao, Zhuoyi Yang, Xiaotao Gu, Xiaohan Zhang, Guanyu Feng, Da Yin, Zihan Wang, Ji Qi, Xixuan Song, Peng Zhang, Debing Liu, Xu Bin, Juanzi Li, Yuxiao Dong, Jie Tang - arXiv (Cornell University), CoRR 2024 被引用: 227

  10. Survey on UAV Cellular Communications: Practical Aspects, Standardization Advancements, Regulation, and Security Challenges

    著者: Azade Fotouhi, Haoran Qiang, Ming Ding, Mahbub Hassan, Lorenzo Galati Giordano, Adrián García‐Rodríguez, Jinhong Yuan - IEEE Communications Surveys & Tutorials, IEEE Commun. Surv. Tutorials 2019 被引用: 1,110

  11. ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation

    著者: Jiazheng Xu, Xiao Liu, Yuchen Wu, Yuxuan Tong, Qinkai Li, Ming Ding, Jie Tang, Yuxiao Dong - Advances in Neural Information Processing Systems 36, NeurIPS 2023 被引用: 1,161

  12. CogAgent: A Visual Language Model for GUI Agents

    著者: Wenyi Hong, Weihan Wang, Qingsong Lv, Jiazheng Xu, Wenmeng Yu, Junhui Ji, Yan Wang, Zihan Wang, Yuxuan Zhang, Juanzi Li, Bin Xu, Yuxiao Dong, Ming Ding, Jie Tang - arXiv (Cornell University), CoRR 2023 被引用: 205

  13. LVBench: An Extreme Long Video Understanding Benchmark

    著者: Weihan Wang, Zehai He, Wenyi Hong, Yean Cheng, Xiaohan Zhang, Ji Qi, Ming Ding, Shi‐Yu Huang, Bin Xu, Yuxiao Dong, Ming Ding, Jie Tang - IEEE/CVF International Conference on Computer Vision (ICCV) 2025 被引用: 174

  14. CogView: Mastering Text-to-Image Generation via Transformers

    著者: Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, Jie Tang - Neural Information Processing Systems, NeurIPS 2021 被引用: 1,013

  15. Personalized Federated Learning With Differential Privacy and Convergence Guarantee

    著者: Kang Wei, Jun Li, Chuan Ma, Ming Ding, Wen Chen, Jun Wu, Meixia Tao, H. Vincent Poor - IEEE Transactions on Information Forensics and Security, IEEE Trans. Inf. Forensics Secur. 2023 被引用: 190

  16. GPT Understands, Too

    著者: Xiao Liu, Yanan Zheng, Zhengxiao Du, Ming Ding, Yujie Qian, Zhilin Yang, Jie Tang - AI Open 2023 被引用: 489

  17. Cyber Threat Intelligence Mining for Proactive Cybersecurity Defense: A Survey and New Perspectives

    著者: Nan Sun, Ming Ding, Jiaojiao Jiang, Weikang Xu, Xiaoxing Mo, Yonghang Tai, Jun Zhang - IEEE Communications Surveys & Tutorials, IEEE Commun. Surv. Tutorials 2023 被引用: 249

  18. CogAgent: A Visual Language Model for GUI Agents

    著者: Wenyi Hong, Weihan Wang, Qingsong Lv, Jiazheng Xu, Wenmeng Yu, Junhui Ji, Yan Wang, Zihan Wang, Yuxiao Dong, Ming Ding, Jie Tang - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024 被引用: 140

  19. VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation

    著者: Jiazheng Xu, Yu Huang, Jiale Cheng, Yuanming Yang, Jiajun Xu, Yuan Wang, Wenbo Duan, Yang Shen, Jin, Qunlin, Shuo Li, Jiayan Teng, Zhuoyi Yang, Wendi Zheng, Xiaohu Liu, Zhang, Dan, Ming Ding, Xiaohan Zhang, Xiaotao Gu, Shiyu Huang, Minlie Huang, Jie Tang, Yuxiao Dong - arXiv (Cornell University), CoRR 2024 被引用: 118

  20. MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems

    著者: Tinglin Huang, Yuxiao Dong, Ming Ding, Zhen Yang, Wenzheng Feng, Xinyu Wang, Jie Tang - SIGKDD Conference on Knowledge Discovery & Data Mining 2021 被引用: 193

  21. Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation

    著者: Jun Li, Yumeng Shao, Kang Wei, Ming Ding, Chuan Ma, Long Shi, Zhu Han, H. Vincent Poor - IEEE Transactions on Parallel and Distributed Systems, IEEE Trans. Parallel Distributed Syst. 2021 被引用: 218

  22. When Federated Learning Meets Blockchain: A New Distributed Learning Paradigm

    著者: Chuan Ma, Jun Li, Long Shi, Ming Ding, Taotao Wang, Zhu Han, H. Vincent Poor - IEEE Computational Intelligence Magazine, IEEE Comput. Intell. Mag. 2022 被引用: 185

  23. Blockchain for Secure EHRs Sharing of Mobile Cloud Based E-Health Systems

    著者: Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne - IEEE Access 2019 被引用: 576

  24. CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers

    著者: Ming Ding, Wendi Zheng, Wenyi Hong, Jie Tang - Advances in Neural Information Processing Systems 35, NeurIPS 2022 被引用: 426