I am currently a member of Prof. Yi Ding’s STYLE group. I became a PhD student at Purdue University in August 2024.
I obtained my Bachelor’s degree of Computer Science and Master’s degree in Electronic and Information Engineering from Shanghai Jiao Tong University in June 2021 and March 2024, respectively.
My research interest focuses on Suistainability of Computing, e.g., Energy- and Carbon-Efficient Data Center Operation and LLM Serving. I used to work on Data Mining and Recommender Systems during my Master’s and Bachelor’s study, and led a project aimed at optimizing system efficiency of public cloud computing platforms.
🔥 News
- 2025.06: My ground-breaking paper When Servers Meet Species: A Fab-to-Grave Lens on Computing’s Biodiversity Impact is accepted by HotCarbon’25.
- 2025.03: I am certified to be a teaching assistant at Purdue by passing OEPT with a score of 50/55.
- 2025.03: 🎉🎉 I received a $800 Research Award from Purdue’s Institute for a Sustainable Future (ISF).
- 2024.08: I attended NSF DESC workshop held at Purdue on Aug 20-21.
Preprints
Sustainability of Computing Systems: A Survey from Environmental Impact Perspectives
Tianyao Shi, Yanran Wu, Inez Hua, Yi Ding
Systematic Characterization of LLM Quantization: A Performance, Energy, and Quality Perspective
Tianyao Shi, Yi Ding
📝 Publications
Disaggregated Speculative Decoding for Carbon-Efficient LLM Serving [Full-length preprint]
Tianyao Shi*, Yanran Wu*, Sihang Liu, Yi Ding, CAL 2025, IEEE Computer Architecture Letters 24 (2), 369-372.
When Servers Meet Species: A Fab-to-Grave Lens on Computing’s Biodiversity Impact [Code]
Tianyao Shi, Ritbik Kumar, Inez Hua, Yi Ding, HotCarbon 2025, ACM SIGEnergy Energy Informatics Review (EIR), Volume 5 Issue 2, pp. 34-40.
Sustainable LLM Serving: Environmental Implications, Challenges, and Opportunities
Yi Ding, Tianyao Shi, IGSC 2024, pp. 37-38.
Alioth: A Machine Learning Based Interference-Aware Performance Monitor for Multi-Tenancy Applications in Public Cloud [Code]
Tianyao Shi, Yingxuan Yang, Yunlong Cheng, Xiaofeng Gao, Zhen Fang, Yongqiang Yang, IPDPS 2023, pp. 908-917.
FORM: Following the Online Regularized Meta-Leader for Cold-Start Recommendation
Xuehan Sun, Tianyao Shi, Xiaofeng Gao, Yanrong Kang, Guihai Chen, SIGIR 2021, pp. 1177-1186.
GCAN: A Group-Wise Collaborative Adversarial Networks for Item Recommendation
Xuehan Sun, Tianyao Shi, Xiaofeng Gao, Xiang Li, Guihai Chen, DASFAA 2021, pp. 330-338.
🎖 Honors and Awards
- 2025.03 ISF Research Award of Purdue
- 2023.11 Excellent Graduate Scholarship of SJTU
- 2021 ~ 2023 First-Class Graduate Grant of SJTU
- 2021.06 Outstanding Graduate of SJTU [Certificate]
- 2021.06 Excellent Bachelor’s Thesis of SJTU
- 2020.10 No. 95 of LeetCode Cup Team Coding Contest (LCCUP’2020) (top 3.6% of 2575 teams) [Result Screenshot]
- 2018.05 Meritorious Winner of Mathematical Contest In Modeling (MCM) (top 9.7% of 26062 teams) [Certificate]
💻 Work Experience
- 2022.03 – 2022.09, Teaching Assistant of Introduction to Computer Science (“Xuesen Challenge Program”)
- 2020.09 - 2020.12, Teaching Assistant of Algorithm Design and Analysis (CS7310)
- 2019.09 - 2021.01, Managing Assistant of Office of Instructional Operations Management in SJTU Academic Affairs Office
📝 Academic Services
- Reviewer of IEEE TPAMI
- External Reviewer of IEEE TNSE, IEEE TNSM, AAAI 2022, ICDM 2023
⚽ Hobbies
I have always been a soccer fan, as a life-long supporter of Taishan FC and a supporter of FC Barcelona since 2011. I was a refree of SJTU Football Association during my undergraduate years and Vice Chairman of SJTUFA during 2019-2020. (See this certificate of appointment and report in Chinese)