litlas
Log inCreate account

Xinlei Chen

Active 2002–2026

321
Papers
24,513
Citations
57
h-index
165
i10-index

Citations

Citations per year for Xinlei Chen1964: 1 citations1965: 2 citations1966: 1 citations1987: 1 citations1989: 1 citations1994: 1 citations2002: 1 citations2004: 5 citations2005: 2 citations2006: 4 citations2007: 3 citations2008: 1 citations2009: 3 citations2010: 2 citations2011: 2 citations2012: 9 citations2013: 26 citations2014: 62 citations2015: 193 citations2016: 283 citations2017: 392 citations2018: 528 citations2019: 654 citations2020: 868 citations2021: 1,534 citations2022: 2,194 citations2023: 2,606 citations2024: 2,751 citations2025: 2,790 citations2026: 1,133 citations2027: 1 citations1967–1986: no citations, so these years are not shown1988: no citations, so this year is not shown1990–1993: no citations, so these years are not shown1995–2001: no citations, so these years are not shown2003: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 4,737 citing papers, 33.4% of this breakdownUnited States: 2,762 citing papers, 19.5% of this breakdownUnited Kingdom: 756 citing papers, 5.3% of this breakdownAustralia: 506 citing papers, 3.6% of this breakdownGermany: 447 citing papers, 3.1% of this breakdownHong Kong: 438 citing papers, 3.1% of this breakdownCanada: 381 citing papers, 2.7% of this breakdownSingapore: 371 citing papers, 2.6% of this breakdownSouth Korea: 367 citing papers, 2.6% of this breakdownIndia: 308 citing papers, 2.2% of this breakdownFrance: 286 citing papers, 2% of this breakdownJapan: 286 citing papers, 2% of this breakdown
0%33.4%Other 17.9%

Institutions

Fields

  • Computer Science74.5%
  • Engineering11.2%
  • Medicine3.8%
  • Neuroscience2.4%
  • Biochemistry, Genetics and Molecular Biology1.2%
  • Social Sciences1.2%
  • Other5.7%

Topics

  • Multimodal Machine Learning Applications10.4%
  • Domain Adaptation and Few-Shot Learning9%
  • Advanced Image and Video Retrieval Techniques5.8%
  • Advanced Neural Network Applications4.9%
  • Topic Modeling3.6%
  • Human Pose and Action Recognition3.1%
  • Other63.2%

Coauthors

All papers

Open in search
  1. Improved Baselines with Momentum Contrastive Learning

    Authors: Xinlei Chen, Haoqi Fan, Ross B. Girshick, Kaiming He - arXiv (Cornell University), CoRR 2020 cited by 2,941

  2. Microsoft COCO Captions: Data Collection and Evaluation Server

    Authors: Xinlei Chen, Hao Fang, Tsung-Yi Lin, Ramakrishna Vedantam, Saurabh Gupta, Piotr Dollár, C. Lawrence Zitnick - arXiv (Cornell University), CoRR 2015 cited by 2,250

  3. An Empirical Study of Training Self-Supervised Vision Transformers

    Authors: Xinlei Chen, Saining Xie, Kaiming He - IEEE/CVF International Conference on Computer Vision (ICCV) 2021 cited by 1,451

  4. Masked Autoencoders Are Scalable Vision Learners

    Authors: Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross B. Girshick - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 cited by 953

  5. Learning to (Learn at Test Time): RNNs with Expressive Hidden States

    Authors: Yu Sun, Xinhao Li, Karan Dalal, Jiarui Xu, Arjun Vikram, Genghan Zhang, Yann Dubois, Xinlei Chen, Xiaolong Wang, Sanmi Koyejo, Tatsunori Hashimoto, Carlos Guestrin - ICML 2025 cited by 318

  6. Revisiting Feature Prediction for Learning Visual Representations from Video

    Authors: Adrien Bardes, Quentin Garrido, Jean Ponce, Xinlei Chen, Michael Rabbat, Yann LeCun, Mido Assran, Nicolas Ballas - Trans. Mach. Learn. Res. 2024 cited by 213

  7. Massive Activations in Large Language Models

    Authors: Mingjie Sun, Xinlei Chen, J. Zico Kolter, Zhuang Liu - arXiv (Cornell University), CoRR 2024 cited by 189

  8. Exploring Simple Siamese Representation Learning

    Authors: Xinlei Chen, Kaiming He - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021 cited by 3,303

  9. MetaMorph: Multimodal Understanding and Generation via Instruction Tuning

    Authors: Shengbang Tong, David Fan, Jiachen Zhu, Yunyang Xiong, Xinlei Chen, Koustuv Sinha, Michael Rabbat, Yann LeCun, Saining Xie, Zhuang Liu - IEEE/CVF International Conference on Computer Vision (ICCV) 2025 cited by 147

  10. nocaps: novel object captioning at scale

    Authors: Harsh Agrawal, Peter Anderson, Karan Desai, Yufei Wang, Xinlei Chen, Rishabh Jain, Mark Johnson, Dhruv Batra, Devi Parikh, Stefan Lee - IEEE/CVF International Conference on Computer Vision (ICCV) 2019 cited by 280

  11. ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders

    Authors: Sanghyun Woo, Shoubhik Debnath, Ronghang Hu, Xinlei Chen, Zhuang Liu, In So Kweon, Saining Xie - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023 cited by 1,324

  12. Large Scale Spectral Clustering Via Landmark-Based Sparse Representation

    Authors: Deng Cai, Xinlei Chen - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2014 cited by 341

  13. Deconstructing Denoising Diffusion Models for Self-Supervised Learning

    Authors: Xinlei Chen, Zhuang Liu, Saining Xie, Kaiming He - ICLR 2025 cited by 118

  14. Transformers without Normalization

    Authors: Jiachen Zhu, Xinlei Chen, Kaiming He, Yann LeCun, Zhuang Liu - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025 cited by 106

  15. Image manipulation detection by multiple tampering traces and edge artifact enhancement

    Authors: Xun Lin, Shuai Wang, Jiahao Deng, Ying Fu, Xiao Bai, Xinlei Chen, Xiaolei Qu, Wenzhong Tang - Pattern Recognition, Pattern Recognit. 2022 cited by 113

  16. Benchmarking Detection Transfer Learning with Vision Transformers

    Authors: Yanghao Li, Saining Xie, Xinlei Chen, Piotr Dollár, Kaiming He, Ross B. Girshick - arXiv (Cornell University), CoRR 2021 cited by 144

  17. What Can RL Bring to VLA Generalization? An Empirical Study

    Authors: Jijia Liu, Feng Gao, Bingwen Wei, Xinlei Chen, Qingmin Liao, Yi Wu, Chao Yu, Yu Wang - NeurIPS 2025 cited by 95

  18. A flexible triboelectric tactile sensor for simultaneous material and texture recognition

    Authors: Ziwu Song, Jihong Yin, Zihan Wang, Chengyue Lu, Ze Yang, Zihao Zhao, Zenan Lin, Jiyu Wang, Changsheng Wu, Jia Cheng, Yuan Dai, Yunlong Zi, Shao‐Lun Huang, Xinlei Chen, Jian Song, Gang Li, Wenbo Ding - Nano Energy 2021 cited by 178

  19. Towards VQA Models That Can Read

    Authors: Amanpreet Singh, Vivek Natarajan, Meet Shah, Yu Jiang, Xinlei Chen, Dhruv Batra, Devi Parikh, Marcus Rohrbach - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019 cited by 62

  20. Webly Supervised Learning of Convolutional Networks

    Authors: Xinlei Chen, Abhinav Gupta - IEEE International Conference on Computer Vision (ICCV) 2015 cited by 333

  21. Large Scale Spectral Clustering with Landmark-Based Representation

    Authors: Xinlei Chen, Deng Cai - AAAI Conference on Artificial Intelligence 2011 cited by 397

  22. Visualizing and Understanding Neural Models in NLP

    Authors: Jiwei Li, Xinlei Chen, Eduard H. Hovy, Dan Jurafsky - Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, HLT-NAACL 2016 cited by 544

  23. Meta CLIP 2: A Worldwide Scaling Recipe

    Authors: Yung-Sung Chuang, Li Yang, Dong Wang, Yeh, Ching-Feng, Kehan Lyu, Ramya Raghavendra, James Glass, Huang, Lifei, Jason Weston, Luke Zettlemoyer, Xinlei Chen, Z. A. Liu, Saining Xie, Wen-tau Yih, Shang-Wen Li, Hui-lian Xu - NeurIPS 2025 cited by 37

  24. DeliverSense: Efficient Delivery Drone Scheduling for Crowdsensing with Deep Reinforcement Learning

    Authors: Xuecheng Chen, Haoyang Wang, Zuxin Li, Wenbo Ding, Fan Dang, Chengye Wu, Xinlei Chen - International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp/ISWC Adjunct 2022 cited by 51