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Song Han

Active 1993–2026

733
Papers
81,377
Citations
108
h-index
451
i10-index

Citations

Citations per year for Song Han1975: 1 citations1985: 1 citations1990: 4 citations1994: 5 citations1995: 5 citations1996: 11 citations1997: 8 citations1998: 15 citations1999: 14 citations2000: 8 citations2001: 7 citations2002: 15 citations2003: 19 citations2004: 32 citations2005: 33 citations2006: 41 citations2007: 58 citations2008: 107 citations2009: 157 citations2010: 186 citations2011: 206 citations2012: 247 citations2013: 221 citations2014: 279 citations2015: 273 citations2016: 441 citations2017: 1,030 citations2018: 2,146 citations2019: 3,224 citations2020: 4,163 citations2021: 4,569 citations2022: 3,823 citations2023: 3,807 citations2024: 4,237 citations2025: 5,455 citations2026: 2,651 citations2027: 1 citations1976–1984: no citations, so these years are not shown1986–1989: no citations, so these years are not shown1991–1993: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 8,988 citing papers, 26.3% of this breakdownUnited States: 6,803 citing papers, 19.9% of this breakdownUnited Kingdom: 1,618 citing papers, 4.7% of this breakdownSouth Korea: 1,362 citing papers, 4% of this breakdownIndia: 1,239 citing papers, 3.6% of this breakdownGermany: 1,019 citing papers, 3% of this breakdownCanada: 928 citing papers, 2.7% of this breakdownItaly: 909 citing papers, 2.7% of this breakdownAustralia: 908 citing papers, 2.6% of this breakdownHong Kong: 763 citing papers, 2.2% of this breakdownSingapore: 620 citing papers, 1.8% of this breakdownFrance: 607 citing papers, 1.8% of this breakdown
0%26.3%Other 24.7%

Institutions

Fields

  • Computer Science65.8%
  • Engineering16.7%
  • Medicine4.9%
  • Biochemistry, Genetics and Molecular Biology3.3%
  • Materials Science1.6%
  • Neuroscience1.5%
  • Other6.2%

Topics

  • Advanced Neural Network Applications8.7%
  • Domain Adaptation and Few-Shot Learning2.9%
  • Advanced Memory and Neural Computing2.5%
  • Adversarial Robustness in Machine Learning2.1%
  • Multimodal Machine Learning Applications2%
  • IoT and Edge/Fog Computing2%
  • Other79.8%

Coauthors

All papers

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  1. Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding

    Authors: Song Han, Huizi Mao, William J. Dally - ECRTS 2016 cited by 4,762

  2. Efficient Streaming Language Models with Attention Sinks

    Authors: Guangxuan Xiao, Yuandong Tian, Beidi Chen, Song Han, Mike Lewis - ICLR 2024 cited by 2,170

  3. SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <1MB model size

    Authors: Forrest Iandola, Song Han, Matthew W. Moskewicz, Khalid Ashraf, William J. Dally, Kurt Keutzer - arXiv (Cornell University), CoRR 2016 cited by 5,925

  4. Industrial Internet of Things: Challenges, Opportunities, and Directions

    Authors: Emiliano Sisinni, Abusayeed Saifullah, Song Han, Ulf Jennehag, Mikael Gidlund - IEEE Transactions on Industrial Informatics, IEEE Trans. Ind. Informatics 2018 cited by 2,294

  5. LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

    Authors: Yukang Chen, Shengju Qian, Haotian Tang, Xin Lai, Zhijian Liu, Song Han, Jiaya Jia - ICLR 2024 cited by 304

  6. Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey

    Authors: Lei Deng, Guoqi Li, Song Han, Luping Shi, Yuan Xie - IEEE, Proc. IEEE 2020 cited by 927

  7. VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation

    Authors: Yecheng Wu, Zhuoyang Zhang, Junyu Chen, Haotian Tang, Dacheng Li, Yunhao Fang, Ligeng Zhu, Enze Xie, Hongxu Yin, Li Yi, Song Han, Yao Lu - ICLR 2025 cited by 281

  8. SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers

    Authors: Enze Xie, Junsong Chen, Junyu Chen, Han Cai, Haotian Tang, Yujun Lin, Zhekai Zhang, Muyang Li, Ligeng Zhu, Yao Lu, Song Han - arXiv (Cornell University), CoRR 2024 cited by 228

  9. Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding

    Authors: Chengyue Wu, Hao Zhang, Shuchen Xue, Zhijian Liu, Shizhe Diao, Ligeng Zhu, Ping Luo, Song Han, Enze Xie - ArXiv.org, CoRR 2025 cited by 227

  10. SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

    Authors: Guangxuan Xiao, Ji Lin, Mickaël Seznec, Hao Wu, Julien Demouth, Song Han - ICML 2023 cited by 1,755

  11. LongVILA: Scaling Long-Context Visual Language Models for Long Videos

    Authors: Yukang Chen, Fuzhao Xue, Dacheng Li, Qinghao Hu, Ligeng Zhu, Xiuyu Li, Yunhao Fang, Haotian Tang, Shang Yang, Zhijian Liu, Yihui He, Hongxu Yin, Pavlo Molchanov, Jan Kautz, Linxi Fan, Yuke Zhu, Yao Lu, Song Han - ICLR 2025 cited by 307

  12. EIE

    Authors: Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark Horowitz, William J. Dally - ACM SIGARCH Computer Architecture News 2016 cited by 2,035

  13. QUEST: Query-Aware Sparsity for Efficient Long-Context LLM Inference

    Authors: Jiaming Tang, Yilong Zhao, Kan Zhu, Guangxuan Xiao, Baris Kasikci, Song Han - ICML 2024 cited by 425

  14. EfficientViT: Lightweight Multi-Scale Attention for High-Resolution Dense Prediction

    Authors: Han Cai, Junyan Li, Muyan Hu, Chuang Gan, Song Han - IEEE/CVF International Conference on Computer Vision (ICCV) 2023 cited by 268

  15. Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

    Authors: Yujun Lin, Song Han, Huizi Mao, Yu Wang, Bill Dally - ICLR (Poster) 2018 cited by 1,676

  16. Once for All: Train One Network and Specialize it for Efficient Deployment

    Authors: Han Cai, Chuang Gan, Tianzhe Wang, Zhekai Zhang, Song Han - ICLR 2020 cited by 1,586

  17. VILA: On Pre-training for Visual Language Models

    Authors: Ji Lin, Hongxu Yin, Wei Ping, Pavlo Molchanov, Mohammad Shoeybi, Song Han - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024 cited by 172

  18. AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration

    Authors: Ji Lin, Jiaming Tang, Haotian Tang, Shang Yang, Guangxuan Xiao, Song Han - GetMobile Mobile Computing and Communications, GetMobile Mob. Comput. Commun. 2024 cited by 172

  19. FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention

    Authors: Guangxuan Xiao, Tianwei Yin, William T. Freeman, Frédo Durand, Song Han - International Journal of Computer Vision, Int. J. Comput. Vis. 2024 cited by 157

  20. A one-pot isothermal Cas12-based assay for the sensitive detection of microRNAs

    Authors: He Yan, Yunjie Wen, Zimu Tian, Nathan Hart, Song Han, Steven J. Hughes, Yong Zeng - Nature Biomedical Engineering 2023 cited by 338

  21. QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving

    Authors: Yujun Lin, Haotian Tang, Shang Yang, Zhekai Zhang, Guangxuan Xiao, Chuang Gan, Song Han - MLSys 2025 cited by 144

  22. DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads

    Authors: Guangxuan Xiao, Jiaming Tang, Jingwei Zuo, Junxian Guo, Shang Yang, Haotian Tang, Yao Fu, Song Han - ICLR 2025 cited by 280

  23. Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models

    Authors: Junyu Chen, Han Cai, Jun Song Chen, Enze Xie, Yang Shang, Haotian Tang, Muyang Li, Yao Lu, Song Han - ICLR 2025 cited by 209

  24. NVILA: Efficient Frontier Visual Language Models

    Authors: Zhijian Liu, Ligeng Zhu, Baifeng Shi, Zhuoyang Zhang, Yuming Lou, Shang Yang, Haocheng Xi, Shiyi Cao, Yuxian Gu, Dacheng Li, Xiuyu Li, Yunhao Fang, Yukang Chen, Cheng-Yu Hsieh, De-An Huang, An-Chieh Cheng, Vishwesh Nath, Jinyi Hu, Sifei Liu, Ranjay Krishna, Daguang Xu, Xiaolong Wang, Pavlo Molchanov, Jan Kautz, Hongxu Yin, Song Han, Yao Lu - ArXiv.org, CoRR 2024 cited by 123