Tianyao Shi 史 天尧

Tianyao Shi
史 天尧

Purdue University

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 (Beyond) Carbon-Efficient Data Center Operation and LLM Serving. I have been establishing the quantification model for evaluating the broader environmental impact of computing systems, i.e., biodiversity loss, by integrating LCA methodology and ecological modeling into architectural / system design, performance evaluation, and optimization.

[CV]

🔥 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

BIRDS: Characterizing and Understanding Biodiversity Impact of Large Language Model Serving [🪶TL;DR by Gist.Science]
ArXiv 2026 Tianyao Shi, Yi Ding
Sustainability of Computing Systems: A Survey from Environmental Impact Perspectives
TechRxiv 2026 Tianyao Shi, Yanran Wu, Inez Hua, Yi Ding
Systematic Characterization of LLM Quantization: A Performance, Energy, and Quality Perspective
ArXiv 2025 Tianyao Shi, Yi Ding

📄 Publications

Disaggregated Speculative Decoding for Carbon-Efficient LLM Serving [📑Full-length preprint]
CAL 2025 Tianyao Shi*, Yanran Wu*, Sihang Liu, Yi Ding, IEEE Computer Architecture Letters 24 (2), 369-372.
When Servers Meet Species: A Fab-to-Grave Lens on Computing's Biodiversity Impact [🧑‍💻Code]
HotCarbon 2025 Tianyao Shi, Ritbik Kumar, Inez Hua, Yi Ding, ACM SIGEnergy Energy Informatics Review (EIR), Volume 5 Issue 2, pp. 34-40.
Sustainable LLM Serving: Environmental Implications, Challenges, and Opportunities
IGSC 2024 Yi Ding, Tianyao Shi, pp. 37-38.
Alioth: A Machine Learning Based Interference-Aware Performance Monitor for Multi-Tenancy Applications in Public Cloud [🧑‍💻Code]
IPDPS 2023 Tianyao Shi, Yingxuan Yang, Yunlong Cheng, Xiaofeng Gao, Zhen Fang, Yongqiang Yang, pp. 908-917.
FORM: Following the Online Regularized Meta-Leader for Cold-Start Recommendation
SIGIR 2021 Xuehan Sun, Tianyao Shi, Xiaofeng Gao, Yanrong Kang, Guihai Chen, pp. 1177-1186.
GCAN: A Group-Wise Collaborative Adversarial Networks for Item Recommendation
DASFAA 2021 Xuehan Sun, Tianyao Shi, Xiaofeng Gao, Xiang Li, Guihai Chen, 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

📝 Academic Services

  • Reviewer of IEEE TPAMI, IEEE TII
  • 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)