Yunqian Fan
ShanghaiTech University. Shanghai, China.
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
| Sep 10, 2025 | One paper accepted by EuroSys-26! It is about predictable LLM inference scheduling. Details TBD |
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| Apr 10, 2025 | One paper published at TPAMI! Refer to link for details. |
| 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! |
latest posts
| Oct 25, 2024 | Walking Around |
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| Sep 10, 2024 | Post the APIs and go. |
| Aug 11, 2024 | vim macro |
selected publications
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Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane DetectionIn 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 -
Partial Sum Quantization for Computing-In-Memory-Based Neural Network AcceleratorIEEE Trans. Circuits Syst. II Express Briefs, 2023 -
Tiny neural network search and implementation for embedded FPGA: a software-hardware co-design approachIn IEEE Asian Solid-State Circuits Conference, A-SSCC 2021, Busan, Korea, Republic of, November 7-10, 2021, 2021