Ruofan Wu 乌若凡

1st year PhD @ Umich

I am a first year Ph.D. student at University of Michigan, advised by Prof. Mosharaf Chowdhury. I received my Bachelor’s and Master’s degree in computer science at Renmin University of China (RUC) under the supervision of Prof. Feng Zhang. My research interests lie in machine learning compilers and scalable machine learning systems, with a recent focus on compiler-guided energy optimization.

Email: ruofanw@umich.edu

Education

• 2024 - Present: University of Michigan (Umich), Ph.D. student in Computer Science & Engineering, Advisor: Prof. Mosharaf Chowdhury
• 2021 - 2024: Renmin University of China (RUC), M.E. in Computer Application Technology, Advisor: Prof. Feng Zhang
• 2017 - 2021: Renmin University of China (RUC), B.E. in Data Science and Big Data Technology

Experience

• 2023 - 2024: Microsoft, DeepSpeed Bing, Research Intern, Mentor: Dr. Zhen Zheng
• 2022 - 2023: Alibaba Cloud, Platform of Artificial Intelligence (PAI), Research Intern, Mentor: Dr. Zhen Zheng
• 2021: Microsoft Research Asia (MSRA), Systems Research Group, Research Intern, Mentor: Dr. Fan Yang, Dr. Jilong Xue
• 2019 - 2020: North Carolina State University (NCSU), PICTure Research Group, Remote Intern, Advisor: Prof. Xipeng Shen
• 2019: DELL EMC China Technology R&D Center, Intern

Selected Publications

Ruofan Wu, Zhen Zheng, Feng Zhang, Chuanjie Liu, Zaifeng Pan, Jidong Zhai, Xiaoyong Du
PluS: Highly Efficient and Expandable ML Compiler with Pluggable Graph Schedules

In USENIX ATC, 2025.

CiteMain URL

Zaifeng Pan, Zhen Zheng, Feng Zhang, Ruofan Wu, Hao Liang, Dalin Wang, Xiafei Qiu, Junjie Bai, Wei Lin, Xiaoyong Du
RECom: A Compiler Approach to Accelerating Recommendation Model Inference with Massive Embedding Columns

In ASPLOS, 2024.

CiteMain URL

Hongyu Zhu, Ruofan Wu, Yijia Diao, Shanbin Ke, Haoyu Li, Chen Zhang, Jilong Xue, Lingxiao Ma, Yuqing Xia, Wei Cui, Fan Yang, Mao Yang, Lidong Zhou, Asaf Cidon, Gennady Pekhimenko
ROLLER: Fast and Efficient Tensor Compilation for Deep Learning

In OSDI, 2022.

CiteMain URL

Jiawei Guan, Feng Zhang, Jiesong Liu, Hsin-Hsuan Sung, Ruofan Wu, Xiaoyong Du, Xipeng Shen
TREC: Transient Redundancy Elimination-based Convolution

In NeurIPS, 2022.

CiteMain URL

Ruofan Wu, Feng Zhang, Jiawei Guan, Zhen Zheng, Xiaoyong Du, Xipeng Shen
DREW: Efficient Winograd CNN Inference with Deep Reuse

In WWW/TheWebConf, 2022.

CiteMain URL

@inproceedings{10.1145/3623278.3624761, author = {Pan, Zaifeng and Zheng, Zhen and Zhang, Feng and Wu, Ruofan and Liang, Hao and Wang, Dalin and Qiu, Xiafei and Bai, Junjie and Lin, Wei and Du, Xiaoyong}, title = {RECom: A Compiler Approach to Accelerating Recommendation Model Inference with Massive Embedding Columns}, year = {2024}, isbn = {9798400703942}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3623278.3624761}, doi = {10.1145/3623278.3624761}, booktitle = {Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 4}, pages = {268–286}, numpages = {19}, location = {<conf-loc>, <city>Vancouver</city>, <state>BC</state>, <country>Canada</country>, </conf-loc>}, series = {ASPLOS '23} }

@inproceedings {280896, author = {Hongyu Zhu and Ruofan Wu and Yijia Diao and Shanbin Ke and Haoyu Li and Chen Zhang and Jilong Xue and Lingxiao Ma and Yuqing Xia and Wei Cui and Fan Yang and Mao Yang and Lidong Zhou and Asaf Cidon and Gennady Pekhimenko}, title = {{ROLLER}: Fast and Efficient Tensor Compilation for Deep Learning}, booktitle = {16th USENIX Symposium on Operating Systems Design and Implementation (OSDI 22)}, year = {2022}, isbn = {978-1-939133-28-1}, address = {Carlsbad, CA}, pages = {233--248}, url = {https://www.usenix.org/conference/osdi22/presentation/zhu}, publisher = {USENIX Association}, month = jul }

@inproceedings{NEURIPS2022_a995960d, author = {Guan, Jiawei and Zhang, Feng and Liu, Jiesong and Sung, Hsin-Hsuan and Wu, Ruofan and Du, Xiaoyong and Shen, Xipeng}, booktitle = {Advances in Neural Information Processing Systems}, editor = {S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh}, pages = {26578--26589}, publisher = {Curran Associates, Inc.}, title = {TREC: Transient Redundancy Elimination-based Convolution}, url = {https://proceedings.neurips.cc/paper_files/paper/2022/file/a995960dd0193654d6b18eca4ac5b936-Paper-Conference.pdf}, volume = {35}, year = {2022} }

@inproceedings{10.1145/3485447.3511985, author = {Wu, Ruofan and Zhang, Feng and Guan, Jiawei and Zheng, Zhen and Du, Xiaoyong and Shen, Xipeng}, title = {DREW: Efficient Winograd CNN Inference with Deep Reuse}, year = {2022}, isbn = {9781450390965}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3485447.3511985}, doi = {10.1145/3485447.3511985}, booktitle = {Proceedings of the ACM Web Conference 2022}, pages = {1807–1816}, numpages = {10}, keywords = {Web systems, Winograd, data reuse, deep reuse}, location = {<conf-loc>, <city>Virtual Event, Lyon</city>, <country>France</country>, </conf-loc>}, series = {WWW '22} }

@inproceedings {plus2025, author = {Ruofan Wu and Zhen Zheng and Feng Zhang and Chuanjie Liu and Zaifeng Pan and Jidong Zhai and Xiaoyong Du}, title = {{PluS}: Highly Efficient and Expandable {ML} Compiler with Pluggable Graph Schedules}, booktitle = {2025 USENIX Annual Technical Conference (USENIX ATC 25)}, year = {2025}, url = {https://www.usenix.org/conference/atc25/presentation/wu-ruofan}, publisher = {USENIX Association} }