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Yonghong Tian

Active 2001–2026

Also published as
Yonghong, Tian
532
Papers
20,411
Citations
72
h-index
251
i10-index

Citations

Citations per year for Yonghong Tian1905: 1 citations1967: 1 citations2001: 1 citations2004: 2 citations2005: 6 citations2006: 7 citations2007: 3 citations2008: 12 citations2009: 20 citations2010: 43 citations2011: 70 citations2012: 83 citations2013: 95 citations2014: 132 citations2015: 166 citations2016: 198 citations2017: 343 citations2018: 471 citations2019: 621 citations2020: 666 citations2021: 771 citations2022: 923 citations2023: 1,221 citations2024: 1,977 citations2025: 2,210 citations2026: 746 citations1906–1966: no citations, so these years are not shown1968–2000: no citations, so these years are not shown2002–2003: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 4,651 citing papers, 47% of this breakdownUnited States: 1,070 citing papers, 10.8% of this breakdownUnited Kingdom: 428 citing papers, 4.3% of this breakdownAustralia: 375 citing papers, 3.8% of this breakdownHong Kong: 310 citing papers, 3.1% of this breakdownIndia: 284 citing papers, 2.9% of this breakdownSingapore: 270 citing papers, 2.7% of this breakdownSouth Korea: 226 citing papers, 2.3% of this breakdownCanada: 190 citing papers, 1.9% of this breakdownGermany: 182 citing papers, 1.9% of this breakdownFrance: 157 citing papers, 1.6% of this breakdownJapan: 132 citing papers, 1.4% of this breakdown
0%47%Other 16.3%

Institutions

Fields

  • Computer Science72.1%
  • Engineering17.7%
  • Medicine1.7%
  • Social Sciences1.4%
  • Neuroscience1.4%
  • Biochemistry, Genetics and Molecular Biology1.2%
  • Other4.5%

Topics

  • Video Surveillance and Tracking Methods7.4%
  • Advanced Neural Network Applications5.3%
  • Advanced Image and Video Retrieval Techniques4.3%
  • Human Pose and Action Recognition4.1%
  • Advanced Memory and Neural Computing3.4%
  • Domain Adaptation and Few-Shot Learning2.9%
  • Other72.6%

Coauthors

All papers

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  1. ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis

    Authors: Wangbo Yu, Jinbo Xing, Li Yuan, Wenbo Hu, Xiaoyu Li, Zhipeng Huang, Xiangjun Gao, Tien-Tsin Wong, Ying Shan, Yonghong Tian - IEEE Transactions on Pattern Analysis and Machine Intelligence 2025 cited by 295

  2. ChatLaw: Open-Source Legal Large Language Model with Integrated External Knowledge Bases

    Authors: Jiaxi Cui, Munan Ning, Zongjian Li, Bohua Chen, Yan Yang, Bohua Chen, Bin Ling, Yonghong Tian, Li Yuan - Fundamental Research 2026 cited by 316

  3. SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence

    Authors: Wei Fang, Yanqi Chen, Jianhao Ding, Zhaofei Yu, Timothée Masquelier, Ding Chen, Liwei Huang, Huihui Zhou, Guoqi Li, Yonghong Tian - Science Advances 2023 cited by 364

  4. Open-Sora Plan: Open-Source Large Video Generation Model

    Authors: Bin Lin, Yunyang Ge, Xinhua Cheng, Zongjian Li, Bin Zhu, Shaodong Wang, Xianyi He, Yang Ye, Shenghai Yuan, Liuhan Chen, Tanghui Jia, Junwu Zhang, Zhenyu Tang, Yatian Pang, Bin She, Cen Yan, Zhiheng Hu, Xiaoyi Dong, Lin Chen, Zhang Pan, Xing Zhou, Shaoling Dong, Yonghong Tian, Li Yuan - arXiv (Cornell University), CoRR 2024 cited by 247

  5. Spikformer: When Spiking Neural Network Meets Transformer

    Authors: Zhaokun Zhou, Yuesheng Zhu, Chao He, Yaowei Wang, Shuicheng Yan, Yonghong Tian, Li Yuan - ICLR 2023 cited by 521

  6. Adversarial Reciprocal Points Learning for Open Set Recognition

    Authors: Guangyao Chen, Peixi Peng, Xiangqian Wang, Yonghong Tian - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2021 cited by 319

  7. Deep Relative Distance Learning: Tell the Difference between Similar Vehicles

    Authors: Hongye Liu, Yonghong Tian, Yaowei Wang, Lu Pang, Tiejun Huang - IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016 cited by 807

  8. Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network

    Authors: Chenlin Zhou, Liutao Yu, Zhaokun Zhou, Han Zhang, Jiaqi Wang, Huihui Zhou, Zhengyu Ma, Yonghong Tian - AAAI Conference on Artificial Intelligence 2026 cited by 106

  9. Learning Open Set Network with Discriminative Reciprocal Points

    Authors: Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian - Lecture notes in computer science, ECCV (3) 2020 cited by 227

  10. Asynchronous Spatio-Temporal Memory Network for Continuous Event-Based Object Detection

    Authors: Jianing Li, Jia Li, Lin Zhu, Xijie Xiang, Tiejun Huang, Yonghong Tian - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2022 cited by 121

  11. State Space Model for New-Generation Network Alternative to Transformers: A Survey

    Authors: Xiao Wang, Shiao Wang, Yuhe Ding, Yuehang Li, Wentao Wu, Rong Yao, Weizhe Kong, Ju Huang, Shihao Li, Haoxiang Yang, Ziwen Wang, Bo Jiang, Chenglong Li, Yaowei Wang, Yonghong Tian, Jin Tang - arXiv (Cornell University), CoRR 2024 cited by 74

  12. Spike-based dynamic computing with asynchronous sensing-computing neuromorphic chip

    Authors: Man Yao, Ole Richter, Guangshe Zhao, Ning Qiao, Yannan Xing, Dingheng Wang, Tianxiang Hu, Wei Fang, Tuğba Demirci, Michele De Marchi, Lei Deng, Tianyi Yan, Carsten M. Nielsen, Sadique Sheik, Chenxi Wu, Yonghong Tian, Bo Xu, Guoqi Li - Nature Communications 2024 cited by 107

  13. Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain

    Authors: Guangyao Chen, Peixi Peng, Li Ma, Jia Li, Lin Du, Yonghong Tian - IEEE/CVF International Conference on Computer Vision (ICCV) 2021 cited by 108

  14. PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation

    Authors: Wei Zeng, Xiaozhe Ren, Teng Su, Hui Wang, Yi Liao, Zhiwei Wang, Xin Jiang, ZhenZhang Yang, Kaisheng Wang, Xiaoda Zhang, Chen Li, Ziyan Gong, Yifan Yao, Xinjing Huang, Jun Wang, Jianfeng Yu, Qi Guo, Yue Yu, Yan Zhang, Jin Wang, Hengtao Tao, Dasen Yan, Zexuan Yi, Fang Peng, Fangqing Jiang, Han Zhang, Lingfeng Deng, Yehong Zhang, Zhe Lin, Chao Zhang, Shaojie Zhang, Mingyue Guo, Shanzhi Gu, Gaojun Fan, Yaowei Wang, Xuefeng Jin, Qun Liu, Yonghong Tian - arXiv (Cornell University), CoRR 2021 cited by 155

  15. Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips

    Authors: Man Yao, Jiakui Hu, Tianxiang Hu, Yifan Xu, Zhaokun Zhou, Yonghong Tian, Bo Xu, Guoqi Li - ICLR 2024 cited by 184

  16. Spike-driven Transformer

    Authors: Man Yao, Jiakui Hu, Zhaokun Zhou, Li Yuan, Yonghong Tian, Bo Xu, Guoqi Li - Advances in Neural Information Processing Systems 36, NeurIPS 2023 cited by 321

  17. 1000× Faster Camera and Machine Vision with Ordinary Devices

    Authors: Tiejun Huang, Yajing Zheng, Zhaofei Yu, Rui Chen, Yuan Li, Ruiqin Xiong, Лей Ма, Junwei Zhao, Siwei Dong, Lin Zhu, Jianing Li, Shanshan Jia, Yihua Fu, Boxin Shi, Si Wu, Yonghong Tian - Engineering 2022 cited by 89

  18. MFGNet: Dynamic Modality-Aware Filter Generation for RGB-T Tracking

    Authors: Xiao Wang, Xiujun Shu, Shiliang Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu - IEEE Transactions on Multimedia, IEEE Trans. Multim. 2022 cited by 65

  19. EvaGaussians: Event Stream Assisted Gaussian Splatting from Blurry Images

    Authors: Wangbo Yu, Chaoran Feng, Jiye Tang, Yang, Jiashu, Tang, Zhenyu, Jia Xu, Yang, Yuchao, Yuan Li, Yonghong Tian - arXiv (Cornell University), CoRR 2024 cited by 47

  20. Part-Regularized Near-Duplicate Vehicle Re-Identification

    Authors: Bing He, Jia Li, Yifan Zhao, Yonghong Tian - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019 cited by 310

  21. Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket

    Authors: Zhaokun Zhou, Kaiwei Che, Wei Fang, Keyu Tian, Yuesheng Zhu, Shuicheng Yan, Yonghong Tian, Li Yuan - arXiv (Cornell University), CoRR 2024 cited by 46

  22. Carrying Out CNN Channel Pruning in a White Box

    Authors: Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Yongjian Wu, Yonghong Tian, Rongrong Ji - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2022 cited by 64

  23. Pruning of Deep Spiking Neural Networks through Gradient Rewiring

    Authors: Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian - Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021 cited by 62

  24. ProLLaMA: A Protein Large Language Model for Multi-Task Protein Language Processing

    Authors: Liuzhenghao Lv, Zongying Lin, Hao Li, Yuyang Liu, Jiaxi Cui, Calvin Yu-Chian Chen, Li Yuan, Yonghong Tian - arXiv (Cornell University), CoRR 2024 cited by 41