Xinchao Wang

2002–2026 年に発表

別表記
XinChao Wang
403
論文数
23,016
被引用数
79
h 指数
248
i10 指数

被引用数

Xinchao Wang の年別被引用数2001 年: 被引用 2 件2002 年: 被引用 2 件2003 年: 被引用 4 件2004 年: 被引用 7 件2005 年: 被引用 2 件2006 年: 被引用 5 件2007 年: 被引用 12 件2008 年: 被引用 10 件2009 年: 被引用 9 件2010 年: 被引用 6 件2011 年: 被引用 7 件2012 年: 被引用 31 件2013 年: 被引用 26 件2014 年: 被引用 31 件2015 年: 被引用 55 件2016 年: 被引用 74 件2017 年: 被引用 111 件2018 年: 被引用 351 件2019 年: 被引用 622 件2020 年: 被引用 871 件2021 年: 被引用 985 件2022 年: 被引用 897 件2023 年: 被引用 1,210 件2024 年: 被引用 1,822 件2025 年: 被引用 2,446 件2026 年: 被引用 915 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 4,005 件、この内訳の 44.2%アメリカ合衆国: 引用元論文 1,117 件、この内訳の 12.3%イギリス: 引用元論文 334 件、この内訳の 3.7%オーストラリア: 引用元論文 321 件、この内訳の 3.6%香港: 引用元論文 320 件、この内訳の 3.5%シンガポール: 引用元論文 292 件、この内訳の 3.2%韓国: 引用元論文 281 件、この内訳の 3.1%ドイツ: 引用元論文 230 件、この内訳の 2.6%インド: 引用元論文 211 件、この内訳の 2.3%日本: 引用元論文 176 件、この内訳の 2%カナダ: 引用元論文 175 件、この内訳の 1.9%スイス: 引用元論文 126 件、この内訳の 1.4%
0%44.2%その他 16.2%

分野

  • Computer Science72.6%
  • Engineering7.3%
  • Biochemistry, Genetics and Molecular Biology5%
  • Medicine4.6%
  • Agricultural and Biological Sciences2.5%
  • Neuroscience2.1%
  • その他5.9%

トピック

  • Advanced Image Processing Techniques6.4%
  • Advanced Neural Network Applications4.7%
  • Advanced Vision and Imaging4.7%
  • Multimodal Machine Learning Applications4.2%
  • Domain Adaptation and Few-Shot Learning3.4%
  • Generative Adversarial Networks and Image Synthesis3.1%
  • その他73.5%

共著者

全論文

検索で開く
  1. MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities

    著者: , , , , , , , - ICML 2024 被引用: 1,320

  2. NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo - IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVPR Workshops 2017 被引用: 1,493

  3. OminiControl: Minimal and Universal Control for Diffusion Transformer

    著者: , , , , - IEEE/CVF International Conference on Computer Vision (ICCV) 2025 被引用: 165

  4. LLM-Pruner: On the Structural Pruning of Large Language Models

    著者: , , - Advances in Neural Information Processing Systems 36, NeurIPS 2023 被引用: 899

  5. CoT-Valve: Length-Compressible Chain-of-Thought Tuning

    著者: , , , , - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2025 被引用: 123

  6. dKV-Cache: The Cache for Diffusion Language Models

    著者: , , , - NeurIPS 2025 被引用: 125

  7. Efficient Reasoning Models: A Survey

    著者: , , , - Trans. Mach. Learn. Res. 2025 被引用: 100

  8. MambaOut: Do We Really Need Mamba for Vision?

    著者: , - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025 被引用: 132

  9. KAN or MLP: A Fairer Comparison

    著者: , , - arXiv (Cornell University), CoRR 2024 被引用: 94

  10. Diffusion Models for Image Restoration and Enhancement - A Comprehensive Survey

    著者: , , , , , , , - International Journal of Computer Vision, Int. J. Comput. Vis. 2025 被引用: 95

  11. Thinkless: LLM Learns When to Think

    著者: , , - NeurIPS 2025 被引用: 109

  12. Dimple: Discrete Diffusion Multimodal Large Language Model with Parallel Decoding

    著者: , , - ArXiv.org, CoRR 2025 被引用: 73

  13. Anything-3D: Towards Single-view Anything Reconstruction in the Wild

    著者: , , - arXiv (Cornell University), CoRR 2023 被引用: 92

  14. Overcoming Catastrophic Forgetting in Graph Neural Networks

    著者: , , - AAAI Conference on Artificial Intelligence 2021 被引用: 116

  15. On Compressing Deep Models by Low Rank and Sparse Decomposition

    著者: , , , - IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 被引用: 428

  16. Structural Pruning for Diffusion Models

    著者: , , - Advances in Neural Information Processing Systems 36, NeurIPS 2023 被引用: 241

  17. DeepCache: Accelerating Diffusion Models for Free

    著者: , , - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024 被引用: 98

  18. M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database

    著者: , , , , , , - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2022 被引用: 69

  19. MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated Capabilities

    著者: , , , , , , , , , - arXiv (Cornell University), CoRR 2024 被引用: 55

  20. Kolmogorov-Arnold Transformer

    著者: , - ICLR 2025 被引用: 134

  21. One-Pass Multi-Task Networks With Cross-Task Guided Attention for Brain Tumor Segmentation

    著者: , , , , - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2020 被引用: 208

  22. NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Tak-Wai Hui, Chao Dong, Liang Lin, Chen Change Loy, Park Dongwon, Kwanyoung Kim, Se Young Chun, Kai Zhang, Pengjv Liu, Wangmeng Zuo, Shi Guo, Jiye Liu, Jinchang Xu, YI-JIAO LIU, Fengye Xiong, Yuan Dong, Hongliang Bai, Alexandru Damian, Nikhil Ravi, Sachit Menon, Cynthia Rudin, Junghoon Seo, Taegyun Jeon, Jamyoung Koo, Seunghyun Jeon, Soo Ye Kim, Jae-Seok Choi, Sehwan Ki, Soomin Seo, Hyeonjun Sim, Saehun Kim, Munchurl Kim, Rong Chen, Kun Zeng, Jinkang Guo, Yanyun Qu, Cuihua Li, Namhyuk Ahn, Byungkon Kang, Kyung-Ah Sohn, Yuan Yuan, Jiawei Zhang, Jiahao Pang, Xiangyu Xu, Yan Zhao, Wei Deng, Sibt ul Hussain, Muneeb Aadil, Rafia Rahim, Xiaowang Cai, Fang Huang, Yueshu Xu, Pablo Navarrete Michelini, Dan Zhu, Hanwen Liu, Jun-Hyuk Kim, Jong‐Seok Lee, Yi‐Wen Huang, Ming Qiu, Liting Jing, Jiehang Zeng, Ying Wang, Manoj Sharma, Rudrabha Mukhopadhyay, Avinash Upadhyay, Sriharsha Koundinya, Ankit Shukla, Santanu Chaudhury, Zhe Zhang, Yu Hen Hu ほか 1 名 - IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVPR Workshops 2018 被引用: 372

  23. Data-Free Adversarial Distillation

    著者: , , , , , - arXiv (Cornell University), CoRR 2019 被引用: 135

  24. Discrete Diffusion in Large Language and Multimodal Models: A Survey

    著者: , , - ArXiv.org, CoRR 2025 被引用: 49