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Linfeng Zhang

2003–2026 年に発表

380
論文数
22,958
被引用数
59
h 指数
197
i10 指数

被引用数

Linfeng Zhang の年別被引用数2004 年: 被引用 1 件2005 年: 被引用 4 件2006 年: 被引用 5 件2007 年: 被引用 11 件2008 年: 被引用 16 件2009 年: 被引用 13 件2010 年: 被引用 15 件2011 年: 被引用 16 件2012 年: 被引用 21 件2013 年: 被引用 28 件2014 年: 被引用 25 件2015 年: 被引用 21 件2016 年: 被引用 26 件2017 年: 被引用 33 件2018 年: 被引用 79 件2019 年: 被引用 228 件2020 年: 被引用 483 件2021 年: 被引用 565 件2022 年: 被引用 635 件2023 年: 被引用 737 件2024 年: 被引用 1,271 件2025 年: 被引用 1,900 件2026 年: 被引用 1,379 件2027 年: 被引用 1 件

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 2,356 件、この内訳の 34.7%アメリカ合衆国: 引用元論文 1,289 件、この内訳の 19%イギリス: 引用元論文 356 件、この内訳の 5.2%ドイツ: 引用元論文 278 件、この内訳の 4.1%日本: 引用元論文 152 件、この内訳の 2.2%カナダ: 引用元論文 147 件、この内訳の 2.2%韓国: 引用元論文 140 件、この内訳の 2.1%香港: 引用元論文 139 件、この内訳の 2.1%オーストラリア: 引用元論文 138 件、この内訳の 2%イタリア: 引用元論文 127 件、この内訳の 1.9%スイス: 引用元論文 117 件、この内訳の 1.7%フランス: 引用元論文 105 件、この内訳の 1.5%
0%34.7%その他 21.3%

機関

分野

  • Computer Science40.4%
  • Medicine17.2%
  • Materials Science14.2%
  • Biochemistry, Genetics and Molecular Biology7.1%
  • Engineering6.9%
  • Physics and Astronomy3.5%
  • その他10.7%

トピック

  • Machine Learning in Materials Science6.1%
  • Computational Drug Discovery Methods3.4%
  • Multimodal Machine Learning Applications3.4%
  • Topic Modeling3.1%
  • Generative Adversarial Networks and Image Synthesis2.9%
  • Protein Structure and Dynamics2.2%
  • その他78.9%

共著者

全論文

検索で開く
  1. Scientific discovery in the age of artificial intelligence

    著者: Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun K. Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Velickovic, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Zitnik - Nature, Nat. 2023 被引用: 1,726

  2. Deep Potential Molecular Dynamics: A Scalable Model with the Accuracy of Quantum Mechanics

    著者: Linfeng Zhang, Jiequn Han, Han Wang, Roberto Car, E Weinan - Physical Review Letters 2018 被引用: 2,211

  3. DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics

    著者: Han Wang, Linfeng Zhang, Jiequn Han, E Weinan - Computer Physics Communications, Comput. Phys. Commun. 2018 被引用: 2,034

  4. Status of Hypertension in China

    著者: Zengwu Wang, Zuo Chen, Linfeng Zhang, Xin Wang, Guang Hao, Zugui Zhang, Lan Shao, Ye Tian, Ying Dong, Congyi Zheng, Jiali Wang, Manlu Zhu, William S. Weintraub, Runlin Gao, On behalf of the China Hypertension Survey Investigators* - Circulation 2018 被引用: 1,807

  5. dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching

    著者: Zhiyuan Liu, Yicun Yang, Yaojie Zhang, Junjie Chen, Chang Zou, Qi Wei, Shaobo Wang, Linfeng Zhang, Linfeng Zhang - arXiv (Cornell University), CoRR 2025 被引用: 110

  6. MemOS: A Memory OS for AI System

    著者: Zhiyu Li, Chunyan Xi, Chunyu Li, Chen, Ding, Chen, Boyu, Shichao Song, Simin Niu, Hanyu Wang, Jia‐Wei Yang, Chen Tang, Qingchen Yu, J. Zhao, Yezhaohui Wang, Peng Liu, Lin, Zehao, Pengyuan Wang, Jiahao Huo, Tianyi Chen, Kai Chen, Kehang Li, Tao, Zhen, Lai, Huayi, Hao Wu, Bo Tang, Wang, Zhengren, Fan, Zhaoxin, Ningyu Zhang, Linfeng Zhang, Junchi Yan, Mingchuan Yang, Tong Xu, Wei Xu, Huajun Chen, Wang, Haofen, Hongkang Yang, Wentao Zhang, Zhi‐Qin John Xu, Siheng Chen, Feiyu Xiong - ArXiv.org, CoRR 2025 被引用: 106

  7. Self-Distillation: Towards Efficient and Compact Neural Networks

    著者: Linfeng Zhang, Chenglong Bao, Kaisheng Ma - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2021 被引用: 213

  8. MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

    著者: Junbo Niu, Zheng Liu, Zhuangcheng Gu, Bin Wang, Linke Ouyang, Zhiyuan Zhao, Tao Chu, Tianyao He, Fan Wu, Qintong Zhang, Zhenjiang Jin, Guang Liang, Rui Zhang, Wenzheng Zhang, Yuan Qu, Zhifei Ren, Yuefeng Sun, Yuanhong Zheng, Dongsheng Ma, Zirui Tang, Boyu Niu, Ziyang Miao, Hejun Dong, Siyi Qian, Junyuan Zhang, Jingzhou Chen, Fangdong Wang, Xiaomeng Zhao, Liqun Wei, Wei Li, Shasha Wang, Ruiliang Xu, Yuanyuan Cao, Lu Chen, Qianqian Wu, Huaiyu Gu, Lindong Lu, Keming Wang, Dechen Lin, Guanlin Shen, Xuanhe Zhou, Linfeng Zhang, Yuhang Zang, Xiaoyi Dong, Jiaqi Wang, Bo Zhang, Lei Bai, Pei Chu, Weijia Li, Jiang Wu, Lijun Wu, Zhenxiang Li, Guangyu Wang, Zhongying Tu, Chao Xu, Kai Chen, Yu Qiao, Bowen Zhou, Dahua Lin, Wentao Zhang, Conghui He - ArXiv.org, CoRR 2025 被引用: 92

  9. Stop Looking for "Important Tokens" in Multimodal Language Models: Duplication Matters More

    著者: Zichen Wen, Yifeng Gao, Shaobo Wang, Junyuan Zhang, Qintong Zhang, Weijia Li, Conghui He, Linfeng Zhang - Conference on Empirical Methods in Natural Language Processing, EMNLP 2025 被引用: 77

  10. Controllable Video Generation: A Survey

    著者: Yue Ma, Kun Feng, Zhongyuan Hu, Xinyu Wang, Yucheng Wang, M. Zheng, Wang, Bingyuan, Wang, Qinghe, Xiongjun He, Wang, Hongfa, Chenyang Zhu, Hongyu Liu, Yingqing He, Zeyu Wang, Zhifeng Li, Xiu Li, Han, Sirui, Guo, Yike, W. Liu, Dan Xu, Linfeng Zhang, Qifeng Chen - ArXiv.org, CoRR 2025 被引用: 76

  11. Accelerating Diffusion Transformers with Token-wise Feature Caching

    著者: Chang Zou, Xuyang Liu, Ting Liu, Siteng Huang, Linfeng Zhang - ICLR 2025 被引用: 129

  12. SDAR: A Synergistic Diffusion-AutoRegression Paradigm for Scalable Sequence Generation

    著者: Shuang Cheng, Yihan Bian, Dawei Liu, Yuhua Jiang, Yihao Liu, Linfeng Zhang, Qian Yao, Zhongbo Tian, Wenhai Wang, Qipeng Guo, Kai Chen, Biqing Qi, Bowen Zhou - ACL (Findings) 2026 被引用: 94

  13. Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model

    著者: Ting Liu, Liangtao Shi, Richang Hong, Yue Hu, Quanjun Yin, Linfeng Zhang - arXiv (Cornell University), CoRR 2024 被引用: 69

  14. DP-GEN: A concurrent learning platform for the generation of reliable deep learning based potential energy models

    著者: Yuzhi Zhang, Haidi Wang, Haidi Wang, Weijie Chen, Jinzhe Zeng, Linfeng Zhang, Han Wang, Han Wang, E Weinan - Computer Physics Communications, Comput. Phys. Commun. 2020 被引用: 897

  15. EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

    著者: Yang, Yantai, Yuhao Wang, Zichen Wen, Zhongwei Luo, Chang Zou, Zhipeng Zhang, Chuan Wen, Linfeng Zhang - NeurIPS 2025 被引用: 59

  16. Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation

    著者: Linfeng Zhang, Xin Chen, Xiaobing Tu, Pengfei Wan, Ning Xu, Kaisheng Ma - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 被引用: 107

  17. From Reusing to Forecasting: Accelerating Diffusion Models With Taylorseers

    著者: Jiacheng Liu, Chang Zou, Yuanhuiyi Lyu, Junjie Chen, Linfeng Zhang - IEEE/CVF International Conference on Computer Vision (ICCV) 2025 被引用: 51

  18. A deep potential model with long-range electrostatic interactions

    著者: Linfeng Zhang, Han Wang, Maria Carolina Muniz, Athanassios Z. Panagiotopoulos, Roberto Car, E Weinan - The Journal of Chemical Physics 2022 被引用: 227

  19. Prevalence of Heart Failure and Left Ventricular Dysfunction in China: The China Hypertension Survey, 2012–2015

    著者: Guang Hao, Xin Wang, Zuo Chen, Linfeng Zhang, Yuhui Zhang, Bing-qi Wei, Congyi Zheng, Yuting Kang, Linlin Jiang, Zhenhui Zhu, Jian Zhang, Zengwu Wang, Runlin Gao - European Journal of Heart Failure 2019 被引用: 415

  20. SciMaster: Towards General-Purpose Scientific AI Agents, Part I. X-Master as Foundation: Can We Lead on Humanity's Last Exam?

    著者: Chai, Jingyi, Shuo Tang, Rui Ye, Yuwen Du, Xinyu Zhu, Mengcheng Zhou, Yanfeng Wang, E Weinan, Yuzhi Zhang, Linfeng Zhang, Siheng Chen - ArXiv.org, CoRR 2025 被引用: 48

  21. Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?

    著者: Runpei Dong, Zekun Qi, Linfeng Zhang, Junbo Zhang, Jianjian Sun, Zheng Ge, Li Yi, Kaisheng Ma - ICLR 2023 被引用: 168

  22. REEF: Representation Encoding Fingerprints for Large Language Models

    著者: Jie Zhang, Dongrui Liu, Chen Qian, Linfeng Zhang, Yong Liu, Yu Qiao, Jing Shao - ICLR 2025 被引用: 46

  23. Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden Principles

    著者: Wei, Qingyan, Yaojie Zhang, Zhiyuan Liu, Zeng, Puyu, Wang, Yuxuan, Qi, Biqing, Dongrui Liu, Linfeng Zhang - arXiv (Cornell University), CoRR 2025 被引用: 45

  24. Active learning of uniformly accurate interatomic potentials for materials simulation

    著者: Linfeng Zhang, De-Ye Lin, Han Wang, Roberto Car, Weinan E - Physical Review Materials 2019 被引用: 496