CV

Education

• Ph.D in Version Control Theory, GitHub University, 2018 (expected)
• M.S. in Jekyll, GitHub University, 2014
• B.S. in GitHub, GitHub University, 2012

Work experience

• Spring 2024: Academic Pages Collaborator
  • GitHub University
  • Duties includes: Updates and improvements to template
  • Supervisor: The Users
• Fall 2015: Research Assistant
  • GitHub University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub
• Summer 2015: Research Assistant
  • GitHub University
  • Duties included: Tagging issues
  • Supervisor: Professor Git

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

[ASPLOS’25] Generalizing Reuse Patterns for Efficient DNN on Microcontrollers

Jiesong Liu, Brian Park, Xipeng Shen. (2025). "Generalizing Reuse Patterns for Efficient DNN on Microcontrollers." ASPLOS 2025

[ACL’25 (In submission)] A Drop-In Solution for On-the-Fly Adaptation of Speculative Decoding in Large Language Models

Jiesong Liu, Brian Park, Xipeng Shen. (2025). "A Drop-In Solution for On-the-Fly Adaptation of Speculative Decoding in Large Language Models."

[VLDB’24] A Systematic Study on Early Stop Metrics in HPO and the Implications of Uncertainty

Jiawei Guan, Feng Zhang, Jiesong Liu, Xipeng Shen. (2024). "A Systematic Study on Early Stop Metrics in HPO and the Implications of Uncertainty." VLDB 2024.

[TPDS’24] G-Learned Index: Enabling Efficient Learned Index on GPU

Jiesong Liu, Feng Zhang, Lv Lu, Xiaoyong Du, Guoliang Li, Dong Deng. (2024). "G-Learned Index: Enabling Efficient Learned Index on GPU." TPDS 2024.

[TC’24] Enabling Efficient Deep Learning on MCU with Transient Redundancy Elimination

Jiesong Liu, Feng Zhang, Jiawei Guan, Hsing-Hsuan Sung, Xiaoyong Du, Xipeng Shen. (2024). "Enabling Efficient Deep Learning on MCU with Transient Redundancy Elimination." IEEE TC.

[NeurIPS’24] UQ-guided Hyperparameter Optimization for Iterative Learners

Jiesong Liu, Feng Zhang, Jiawei Guan, Xipeng Shen. (2024). "UQ-guided Hyperparameter Optimization for Iterative Learners." NeurIPS 2024.

[VLDB’23] Approximating Probabilistic Group Steiner Trees in Graphs

Shuang Yang, Yahui Sun, Jiesong Liu, Xiaokui Xiao, Ronghua Li, Zhewei Wei. (2023). "Approximating Probabilistic Group Steiner Trees in Graphs." VLDB 2023.

[ASPLOS’23] Space Efficient TREC for Enabling Deep Learning on Microcontrollers

Jiesong Liu, Feng Zhang, Jiawei Guan, Hsing-Hsuan Sung, Xiaoyong Du, Xipeng Shen. (2023). "Space Efficient TREC for Enabling Deep Learning on Microcontrollers." ASPLOS 2023.

[TPDS’22] Exploring Query Processing on CPU-GPU Integrated Edge Device

Jiesong Liu, Feng Zhang, Hourun Li, Dalin Wang, Weitao Wan, Xiaokun Fang, Jidong Zhai, Xiaoyong Du. (2022). "Exploring Query Processing on CPU-GPU Integrated Edge Device." TPDS 2022.

[NeurIPS’22] TREC: Transient Redundancy Elimination-based Convolution

Jiawei Guan, Feng Zhang, Jiesong Liu, Hsing-Hsuan Sung, Ruofan Wu, Xiaoyong Du, Xipeng Shen. (2022). "TREC: Transient Redundancy Elimination-based Convolution." NeurIPS 2022.

Talks

Teaching

Service and leadership

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