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 Master’s degree in Electronic and Information Engineering from Shanghai Jiao Tong University in March 2024, advised by Prof. Xiaofeng Gao; and my Bachelor’s degree of Computer Science also at SJTU in 2021, co-advised by Prof. Xiaofeng Gao and Prof., IEEE Fellow Guihai Chen.

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.

[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).
  • 2025.01:   My paper Predicting Enterprise Customers’ IT Budgets for Cloud Services is accpeted by DASFAA 2025 as a short paper.
  • 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, IEEE CAL, 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, Yiding, 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

📝 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 and 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)