Yunqian Fan

ShanghaiTech University. Shanghai, China.

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Hi, I’m Yunqian (范云潜), a second-year M.Sc. student majoring in Computer Science at ShanghaiTech University. My research focuses on enhancing the efficiency of Machine Learning Systems, particularly in the areas of inference and serving. I am currently under the supervision of Prof. Rui Fan at the Parallel Processing Laboratory (PPL).

Before entering ShanghaiTech, I obtained my B.Eng at Beihang University under the supervision of Prof. Wang Kang. Additionally, I have been an intern at Model Toolchain Team at SenseTime Research for more than two years.

news

Apr 19, 2024 We got the Best Model Efficiency Award and Second Prize of AI4S Cup (Large language model extracting gene-disease-drop knowledge graph)!
Apr 10, 2024 We got the Second place at the first stage of AICAS Grand Chanllenge 2024 (Software and Hardware Co-optimization for General Large Language Model Inference on CPU)! But we did not take part in the final stage due to time conflict.
Mar 10, 2024 Recognized as Future Star Award by SenseTime Inc. as an intern! It has been ~3 years since I joined SenseTime!
Dec 9, 2023 One paper accepted by AAAI-24! This is my first first-authored paper about compression. Code is available at repo; A full version with supplement is available at Arxiv.
Aug 30, 2023 Partial Sum for CIM publised by IEEE TCAS-II! My bachelor thesis is part of it.

latest posts

Oct 25, 2024 Walking Around
Sep 10, 2024 Post the APIs and go.
Aug 11, 2024 vim macro

selected publications

  1. aaai-2024.png
    Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection
    Yunqian Fan, Xiuying Wei, Ruihao Gong, and 4 more authors
    In Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 2024
  2. tcas2-2023.png
    Partial Sum Quantization for Computing-In-Memory-Based Neural Network Accelerator
    Jinyu Bai, Wenlu Xue, Yunqian Fan, and 2 more authors
    IEEE Trans. Circuits Syst. II Express Briefs, 2023
  3. asscc-2021.png
    Tiny neural network search and implementation for embedded FPGA: a software-hardware co-design approach
    Jinyu Bai, Yunqian Fan, Sifan Sun, and 2 more authors
    In IEEE Asian Solid-State Circuits Conference, A-SSCC 2021, Busan, Korea, Republic of, November 7-10, 2021, 2021