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Daxin Jiang

2003–2026 年に発表

250
論文数
19,141
被引用数
49
h 指数
140
i10 指数

被引用数

Daxin Jiang の年別被引用数1990 年: 被引用 1 件1999 年: 被引用 1 件2001 年: 被引用 1 件2002 年: 被引用 1 件2003 年: 被引用 4 件2004 年: 被引用 10 件2005 年: 被引用 34 件2006 年: 被引用 48 件2007 年: 被引用 56 件2008 年: 被引用 64 件2009 年: 被引用 127 件2010 年: 被引用 126 件2011 年: 被引用 147 件2012 年: 被引用 177 件2013 年: 被引用 179 件2014 年: 被引用 172 件2015 年: 被引用 172 件2016 年: 被引用 143 件2017 年: 被引用 136 件2018 年: 被引用 130 件2019 年: 被引用 157 件2020 年: 被引用 371 件2021 年: 被引用 711 件2022 年: 被引用 839 件2023 年: 被引用 1,602 件2024 年: 被引用 2,141 件2025 年: 被引用 2,862 件2026 年: 被引用 1,720 件1991〜1998 年は被引用が無いため表示していません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・地域の世界地図中国: 引用元論文 2,500 件、この内訳の 29.3%アメリカ合衆国: 引用元論文 1,758 件、この内訳の 20.6%イギリス: 引用元論文 452 件、この内訳の 5.3%カナダ: 引用元論文 328 件、この内訳の 3.8%シンガポール: 引用元論文 321 件、この内訳の 3.8%香港: 引用元論文 314 件、この内訳の 3.7%オーストラリア: 引用元論文 312 件、この内訳の 3.7%インド: 引用元論文 262 件、この内訳の 3.1%ドイツ: 引用元論文 245 件、この内訳の 2.9%イタリア: 引用元論文 162 件、この内訳の 1.9%日本: 引用元論文 145 件、この内訳の 1.7%韓国: 引用元論文 131 件、この内訳の 1.5%
0%29.3%その他 18.7%

機関

分野

  • Computer Science83.2%
  • Biochemistry, Genetics and Molecular Biology5.1%
  • Engineering2.9%
  • Social Sciences1.6%
  • Physics and Astronomy1.5%
  • Decision Sciences1.5%
  • その他4.2%

トピック

  • Topic Modeling12.8%
  • Natural Language Processing Techniques7.5%
  • Multimodal Machine Learning Applications6.8%
  • Software Engineering Research4.7%
  • Domain Adaptation and Few-Shot Learning2.5%
  • Generative Adversarial Networks and Image Synthesis2%
  • その他63.7%

共著者

全論文

検索で開く
  1. Text Embeddings by Weakly-Supervised Contrastive Pre-training

    著者: Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang, Rangan Majumder, Furu Wei - arXiv (Cornell University), CoRR 2022 被引用: 1,003

  2. WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions

    著者: Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, Qingwei Lin, Daxin Jiang - ICLR 2024 被引用: 1,266

  3. CodeBERT: A Pre-Trained Model for Programming and Natural Languages

    著者: Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou - Findings of the Association for Computational Linguistics: EMNLP 2020, EMNLP (Findings) 2020 被引用: 2,434

  4. WizardCoder: Empowering Code Large Language Models with Evol-Instruct

    著者: Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang - ICLR 2024 被引用: 1,012

  5. CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

    著者: Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu - NeurIPS Datasets and Benchmarks 2021 被引用: 1,543

  6. Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

    著者: Jingcheng Hu, Yinmin Zhang, Qi Han, Daxin Jiang, Xiangyu Zhang, Heung-Yeung Shum - NeurIPS 2025 被引用: 480

  7. Step1X-Edit: A Practical Framework for General Image Editing

    著者: Liu, Shiyu, Yucheng Han, Peng Xing, Fukun Yin, Rui Wang, Wei Cheng, Jiaqi Liao, Ying‐Ming Wang, Honghao Fu, Chunrui Han, Guopeng Li, Yuang Peng, Quan Sun, Jingwei Wu, Yan Cai, Zheng Ge, Ming, Ranchen, Xia Lei, Xianfang Zeng, Yibo Zhu, Binxing Jiao, Xiangyu Zhang, Gang Yu, Daxin Jiang - ArXiv.org, CoRR 2025 被引用: 342

  8. GraphCodeBERT: Pre-training Code Representations with Data Flow

    著者: Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin B. Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou - ICLR 2021 被引用: 1,779

  9. Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training

    著者: Gen Li, Nan Duan, Yuejian Fang, Ming Gong, Daxin Jiang - AAAI Conference on Artificial Intelligence 2020 被引用: 750

  10. NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion

    著者: Chenfei Wu, Jian Liang, Lei Ji, Fan Yang, Yuejian Fang, Daxin Jiang, Nan Duan - Lecture notes in computer science, ECCV (16) 2022 被引用: 169

  11. Perception-R1: Pioneering Perception Policy with Reinforcement Learning

    著者: En Yu, Kangheng Lin, Liang Zhao, Jisheng Yin, Yana Wei, Yuang Peng, Haoran Wei, Jianjian Sun, Chunrui Han, Zheng Ge, Xiangyu Zhang, Daxin Jiang, Jingyu Wang, Wenbing Tao - NeurIPS 2025 被引用: 104

  12. THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption

    著者: Tianyu Chen, Hangbo Bao, Shaohan Huang, Dong Li, Binxing Jiao, Daxin Jiang, Haoyi Zhou, Jianxin Li, Furu Wei - Findings of the Association for Computational Linguistics: ACL 2022, ACL (Findings) 2022 被引用: 108

  13. Inference with Reference: Lossless Acceleration of Large Language Models

    著者: Nan Yang, Tao Ge, Liang Wang, Binxing Jiao, Daxin Jiang, Linjun Yang, Rangan Majumder, Furu Wei - arXiv (Cornell University), CoRR 2023 被引用: 80

  14. Step1X-3D: Towards High-Fidelity and Controllable Generation of Textured 3D Assets

    著者: Weiyu Li, Xuanyang Zhang, Zheng Sun, Di Qi, Hao Li, Wei Cheng, Weiwei Cai, Shihao Wu, Jiarui Liu, Zihao Wang, Xiao Chen, Feipeng Tian, Jianxiong Pan, Zeming Li, Gang Yu, Xiangyu Zhang, Daxin Jiang, Ping Tan - ArXiv.org, CoRR 2025 被引用: 68

  15. SE-Agent: Self-Evolution Trajectory Optimization in Multi-Step Reasoning with LLM-Based Agents

    著者: Jiaye Lin, Yifu Guo, Yuzhen Han, Sen Hu, Ziyi Ni, Licheng Wang, Mingguang Chen, Hongzhang Liu, Chen, Ronghao, Yangfan He, Daxin Jiang, Binxing Jiao, Hu Chen, Huacan Wang - NeurIPS 2025 被引用: 55

  16. Task-Specific Expert Pruning for Sparse Mixture-of-Experts

    著者: Tianyu Chen, Shaohan Huang, Yuan Xie, Binxing Jiao, Daxin Jiang, Haoyi Zhou, Jianxin Li, Furu Wei - arXiv (Cornell University), CoRR 2022 被引用: 60

  17. Reinforced Multi-Teacher Selection for Knowledge Distillation

    著者: Fei Yuan, Linjun Shou, Jian Pei, Wutao Lin, Ming Gong, Yan Fu, Daxin Jiang - AAAI Conference on Artificial Intelligence 2021 被引用: 126

  18. K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

    著者: Ruize Wang, Duyu Tang, Nan Duan, Zhongyu Wei, Xuanjing Huang, Jianshu Ji, Guihong Cao, Daxin Jiang, Ming Zhou - Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, ACL/IJCNLP (Findings) 2021 被引用: 379

  19. UniVerse-1: Unified Audio-Video Generation via Stitching of Experts

    著者: Duomin Wang, Wei Zuo, Aojie Li, Ling-Hao Chen, Xinyao Liao, Deyu Zhou, Zixin Yin, Xili Dai, Daxin Jiang, Gang Yu - ArXiv.org, CoRR 2025 被引用: 49

  20. Bridging the Gap Between Indexing and Retrieval for Differentiable Search Index with Query Generation

    著者: Shengyao Zhuang, Houxing Ren, Linjun Shou, Jian Pei, Ming Gong, Guido Zuccon, Daxin Jiang - arXiv (Cornell University), CoRR 2022 被引用: 67

  21. StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation

    著者: Yinmin Zhong, Zili Zhang, Xiaoniu Song, Hanpeng Hu, Chao Jin, Bingyang Wu, Nuo Chen, Yukun Chen, Yu Zhou, Changyi Wan, Hongyu Zhou, Yimin Jiang, Yibo Zhu, Daxin Jiang - ArXiv.org, CoRR 2025 被引用: 46

  22. SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval

    著者: Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang, Rangan Majumder, Furu Wei - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2023 被引用: 66

  23. Dance Revolution: Long Sequence Dance Generation with Music via Curriculum Learning

    著者: Ruozi Huang, Hu Huang, Wei Wu, Kei Sawada, Mi Zhang, Daxin Jiang - ICLR 2021 被引用: 153

  24. WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach

    著者: Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou, Ming Gong, Daxin Jiang, Nan Duan - Findings of the Association for Computational Linguistics: EMNLP 2021, EMNLP (Findings) 2021 被引用: 79