litlas
ログインアカウント作成

Nan Du

2006–2026 年に発表

278
論文数
32,712
被引用数
56
h 指数
149
i10 指数

被引用数

Nan Du の年別被引用数1967 年: 被引用 1 件1994 年: 被引用 1 件2003 年: 被引用 1 件2007 年: 被引用 15 件2008 年: 被引用 20 件2009 年: 被引用 37 件2010 年: 被引用 50 件2011 年: 被引用 57 件2012 年: 被引用 74 件2013 年: 被引用 81 件2014 年: 被引用 119 件2015 年: 被引用 172 件2016 年: 被引用 158 件2017 年: 被引用 182 件2018 年: 被引用 256 件2019 年: 被引用 468 件2020 年: 被引用 520 件2021 年: 被引用 657 件2022 年: 被引用 846 件2023 年: 被引用 2,938 件2024 年: 被引用 4,244 件2025 年: 被引用 3,570 件2026 年: 被引用 1,463 件1968〜1993 年は被引用が無いため表示していません1995〜2002 年は被引用が無いため表示していません2004〜2006 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 2,888 件、この内訳の 25.9%アメリカ合衆国: 引用元論文 2,768 件、この内訳の 24.9%イギリス: 引用元論文 606 件、この内訳の 5.4%ドイツ: 引用元論文 405 件、この内訳の 3.6%カナダ: 引用元論文 375 件、この内訳の 3.4%オーストラリア: 引用元論文 327 件、この内訳の 2.9%香港: 引用元論文 318 件、この内訳の 2.9%シンガポール: 引用元論文 285 件、この内訳の 2.6%インド: 引用元論文 263 件、この内訳の 2.4%韓国: 引用元論文 236 件、この内訳の 2.1%フランス: 引用元論文 210 件、この内訳の 1.9%イタリア: 引用元論文 209 件、この内訳の 1.9%
0%25.9%その他 20.1%

機関

分野

  • Computer Science66.3%
  • Medicine6.3%
  • Engineering4.9%
  • Physics and Astronomy4.9%
  • Biochemistry, Genetics and Molecular Biology4.8%
  • Social Sciences3.4%
  • その他9.4%

トピック

  • Topic Modeling12.4%
  • Natural Language Processing Techniques8.1%
  • Multimodal Machine Learning Applications4.5%
  • Complex Network Analysis Techniques1.9%
  • Domain Adaptation and Few-Shot Learning1.6%
  • Advanced Graph Neural Networks1.5%
  • その他70%

共著者

全論文

検索で開く
  1. ReAct: Synergizing Reasoning and Acting in Language Models

    著者: Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik R. Narasimhan, Yuan Cao - ICLR 2023 被引用: 8,935

  2. PaLM: Scaling Language Modeling with Pathways

    著者: Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel - J. Mach. Learn. Res. 2023 被引用: 3,959

  3. PaLM 2 Technical Report

    著者: Rohan Anil, Andrew M. Dai, Orhan Fırat, Melvin Johnson, Dmitry Lepikhin, A. M. A. dos Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, Eric Chu, Jonathan H. Clark, Laurent El Shafey, Yanping Huang, Meier-Hellstern, Kathy, Gaurav Mishra, Érica Rodrigues Moreira, Mark Omernick, Kevin Robinson, Sebastian Ruder, Yi Tay, Kefan Xiao, Yuanzhong Xu, Yujing Zhang, Gustavo Hernández Ábrego, Junwhan Ahn, Jacob Austin, Paul Barham, Jan L. Botha, James T. Bradbury, Siddhartha Brahma, Kevin R. Brooks, Michele Catasta, Yong Cheng, Colin Cherry, Christopher A. Choquette-Choo, Aakanksha Chowdhery, Clément Crepy, Shachi Dave, Mostafa Dehghani, Sunipa Dev, Jacob Devlin, Mark Díaz, Nan Du, Ethan Dyer, Vlad Feinberg, Fangxiaoyu Feng, Vlad Fienber, Markus Freitag, Xavier García, Sebastian Gehrmann, Lucas Gonzalez, Guy Gur-Ari, Steven C. Hand, Hadi Hashemi, Le Hou, J. J. Howland, Andrea Hu, Jeffrey Hui, Jeremy Hurwitz, Michael Isard, Abe Ittycheriah, Matthew Jagielski, Wenhao Jia, Kathleen Kenealy, Maxim Krikun, Sneha Kudugunta, Chang Lan, Katherine Lee, Benjamin Lee, Eric Li, Music Li, Wei Li, YaGuang Li, Jian Li, Hyeontaek Lim, Hanzhao Lin, Zhongtao Liu, Frederick Liu, Marcello Maggioni, Aroma Mahendru, Joshua Maynez, Vedant Misra, Maysam Moussalem, Zachary Nado, John Nham, Eric C. Ni, A. Nystrom, Alicia Parrish, Marie Pellat, Martin Poláček, Alex Polozov, Reiner Pope, Siyuan Qiao, Emily Reif, Bryan Richter, Parker Riley, Alex Castro Ros, Aurko Roy, Brennan Saeta ほか 28 名 - arXiv (Cornell University), CoRR 2023 被引用: 1,627

  4. Finetuned Language Models Are Zero-Shot Learners

    著者: Jason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, Quoc V. Le - ICLR 2022 被引用: 5,220

  5. Designing Effective Sparse Expert Models

    著者: Barret Zoph, Irwan Bello, Sameer Kumar, Nan Du, Yanping Huang, Jeff Dean, Noam Shazeer, William Fedus - arXiv (Cornell University), CoRR 2022 被引用: 407

  6. MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

    著者: Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Sam Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Xianzhi Du, Futang Peng, Floris Weers, Anton Belyi, Haotian Zhang, Karanjeet Singh, Doug Kang, Ankur Jain, Hongyu Hè, Max Schwarzer, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Guoli Yin, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang - arXiv (Cornell University), CoRR 2024 被引用: 223

  7. Apple Intelligence Foundation Language Models

    著者: Tom Gunter, Z. Wang, Chong Wang, Ruoming Pang, A. G. Hari Narayanan, Aonan Zhang, Bowen Zhang, Chen Chen, Chung‐Cheng Chiu, David Qiu, Deepak Gopinath, Dian Ang Yap, Dong Yin, Feng Nan, Floris Weers, Guoli Yin, Haoshuo Huang, Jianyu Wang, Jiarui Lu, John Peebles, Ke Ye, Mark Lee, Nan Du, Qibin Chen, Quentin Keunebroek, Sam M. Wiseman, Syd Evans, Lei, Tao, Vivek Rathod, Xiang Kong, Xianzhi Du, Yanghao Li, Yongqiang Wang, Yuan Gao, Zaid Ahmed, Zhaoyang Xu, Zhiyun Lu, Al Mamunur Rashid, Albin Madappally Jose, Alec Doane, Alfredo Bencomo, Allison Vanderby, Andrew J. Hansen, Ankur Jain, Anupama Mann Anupama, A. T. Kamal, Bugu Wu, Carolina Brum, Charlie Maalouf, Chinguun Erdenebileg, Chris Dulhanty, Dominik Moritz, Doug Kang, Eduardo Jiménez-Morales, Evan Ladd, Fangping Shi, Felix Bai, Frank Chu, Fred Hohman, Hadas Kotek, Hannah Gillis Coleman, Jane Li, Jeffrey P. Bigham, Jeffery Cao, Jeff Lai, Jessica Cheung, Jiulong Shan, Joe Zhou, John Li, Jun Qin, Karanjeet Singh, Karla Vega, Kelvin Zou, Laura D. Heckman, Lauren Gardiner, Margit Bowler, Maria Cordell, Meng Cao, Nicole Hay, Nilesh Shahdadpuri, Otto Godwin, Pranay Dighe, Pushyami Rachapudi, Ramsey Tantawi, Roman Frigg, Sam Davarnia, Sanskruti Shah, Saptarshi Guha, Sasha Sirovica, Shen Ma, Shuang Ma, Simon Wang, Sulgi Kim, Suma Jayaram, Vaishaal Shankar, Varsha Paidi, Vivek Kumar, Xin Wang, Xin Zheng, Walker Cheng ほか 56 名 - arXiv (Cornell University), CoRR 2024 被引用: 130

  8. GLaM: Efficient Scaling of Language Models with Mixture-of-Experts

    著者: Nan Du, Yanping Huang, Andrew M. Dai, Simon Tong, Dmitry Lepikhin, Yuanzhong Xu, Maxim Krikun, Yanqi Zhou, Adams Wei Yu, Orhan Firat, Barret Zoph, Liam Fedus, Maarten P. Bosma, Zongwei Zhou, Tao Wang, Yu Emma Wang, Kellie Webster, Marie Pellat, Kevin Robinson, Kathleen S. Meier-Hellstern, Toju Duke, Lucas Dixon, Kun Zhang, Quoc V. Le, Yonghui Wu, Zhifeng Chen, Claire Cui - ICML 2022 被引用: 1,265

  9. Recurrent Marked Temporal Point Processes: Embedding Event History to Vector

    著者: Nan Du, Hanjun Dai, Rakshit S. Trivedi, Utkarsh Upadhyay, Manuel Gomez-Rodriguez, Le Song - SIGKDD International Conference on Knowledge Discovery and Data Mining 2016 被引用: 554

  10. Mixture-of-Experts with Expert Choice Routing

    著者: Yanqi Zhou, Tao Lei, Hanxiao Liu, Nan Du, Yanping Huang, Vincent Y. Zhao, Andrew M. Dai, Zhifeng Chen, Quoc V. Le, James Laudon - Advances in Neural Information Processing Systems 35, NeurIPS 2022 被引用: 813

  11. Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models

    著者: Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y. Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou - ICLR 2024 被引用: 90

  12. DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining

    著者: Sang Michael Xie, Hieu Pham, Xuanyi Dong, Nan Du, Hanxiao Liu, Yifeng Lu, Percy Liang, Quoc V. Le, Tengyu Ma, Adams Wei Yu - Advances in Neural Information Processing Systems 36, NeurIPS 2023 被引用: 393

  13. Dysbiosis of maternal and neonatal microbiota associated with gestational diabetes mellitus

    著者: Jinfeng Wang, Jiayong Zheng, Wenyu Shi, Nan Du, Xiaomin Xu, Yanming Zhang, Peifeng Ji, Fengyi Zhang, Zhenyu Jia, Yeping Wang, Zhi Zheng, Hongping Zhang, Fangqing Zhao - Gut 2018 被引用: 454

  14. AnatomyNet: Deep learning for fast and fully automated whole‐volume segmentation of head and neck anatomy

    著者: Wentao Zhu, Yufang Huang, Liang Zeng, Xuming Chen, Yong Liu, Zhen Qian, Nan Du, Wei Fan, Xiaohui Xie - Medical Physics 2018 被引用: 526

  15. MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training

    著者: Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Sam Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Xianzhi Du, Futang Peng, Anton Belyi, Haotian Zhang, Karanjeet Singh, Doug Kang, Hongyu Hè, Max Schwarzer, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang - Lecture notes in computer science, ECCV (29) 2024 被引用: 46

  16. Helicobacter pylori-induced NAT10 stabilizes MDM2 mRNA via RNA acetylation to facilitate gastric cancer progression

    著者: Min Deng, Long Zhang, Wenying Zheng, Jiale Chen, Nan Du, Meiqi Li, Weiqing Chen, Yonghong Huang, Ning Zeng, Yuanbin Song, Yongming Chen - Journal of Experimental & Clinical Cancer Research 2023 被引用: 99

  17. S2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning

    著者: Ruijuan Ma, Wang, Peisong, Cheng Liu, Xingyan Liu, Jiaqi Chen, Bang Zhang, Xin Zhou, Nan Du, Jia Li - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2025 被引用: 42

  18. Are Large Language Models Good Prompt Optimizers?

    著者: Ruotian Ma, Xiaolei Wang, Xin Zhou, Jian Li, Nan Du, Tao Gui, Qi Zhang, Xuanjing Huang - arXiv (Cornell University), CoRR 2024 被引用: 38

  19. Everyone Deserves A Reward: Learning Customized Human Preferences

    著者: Pengyu Cheng, Jiawen Xie, Ke Bai, Yong Dai, Nan Du - arXiv (Cornell University), CoRR 2023 被引用: 38

  20. Adversarial Preference Optimization: Enhancing Your Alignment via RM-LLM Game

    著者: Pengyu Cheng, Yifan Yang, Jian Li, Yong Dai, Tianhao Hu, Peixin Cao, Nan Du, Xiaolong Li - Findings of the Association for Computational Linguistics ACL 2024, ACL (Findings) 2024 被引用: 29

  21. Self-playing Adversarial Language Game Enhances LLM Reasoning

    著者: Pengyu Cheng, Tianhao Hu, Han Xu, Zhisong Zhang, Yuan, Zheng, Yong Dai, Lei Han, Nan Du, Li, Xiaolong - Advances in Neural Information Processing Systems 37, NeurIPS 2024 被引用: 110

  22. STAT3/LINC00671 axis regulates papillary thyroid tumor growth and metastasis via LDHA-mediated glycolysis

    著者: Nan Huo, Rui Cong, Zhi-Jia Sun, Wenchao Li, Xiang Zhu, Chunyuan Xue, Chen Zhao, Luyuan Ma, Zhong Chu, Yuchen Han, Xiaofeng Kang, Songhao Jia, Nan Du, Lei Kang, Xiaojie Xu - Cell Death and Disease 2021 被引用: 105

  23. Fluorescence Analysis of Circulating Exosomes for Breast Cancer Diagnosis Using a Sensor Array and Deep Learning

    著者: Yuyao Jin, Nan Du, Yuanfang Huang, Wan Xiang Shen, Ying Tan, Yu Chen, Wei‐Tao Dou, Xiao‐Peng He, Zijian Yang, Naihan Xu, Chunyan Tan - ACS Sensors 2022 被引用: 80

  24. Multi-Grained Named Entity Recognition

    著者: Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip S. Yu - Meeting of the Association for Computational Linguistics, ACL (1) 2019 被引用: 96