jmzhao.github.io

Jinman Zhao

Google Scholar / LinkedIn / (first)(.)(lastname)(a)gmail(.)com

I am an applied scientist at Amazon Web Services, part of a team that focuses on large foundation models. Before it, I was a PhD student at University of Wisconsin-Madison, advised by Prof. Somesh Jha and Prof. Aws Albarghouthi. Before it, I was an undergrad at Nanjing University.

My research interest lies broadly in the intersection of machine learning, programming language and natural language. Some specific topics include machine learning for code (ML4Code), language models, alignment, efficiency, and interpretability.

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Papers

(* indicates equal contribution)

• Large Language Models of Code Fail at Completing Code with Potential Bugs,
  Tuan Dinh*, Jinman Zhao*, Samson Tan, Renato Negrinho, Leonard Lausen, Sheng Zha, George Karypis.
  arXiv
• Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion,
  Hengzhi Pei, Jinman Zhao, Leonard Lausen, Sheng Zha, George Karypis.
  Accepted to AAAI 2023 / arXiv
• Code Prediction by Feeding Trees to Transformers,
  Seohyun Kim*, Jinman Zhao*, Yuchi Tian, Satish Chandra.
  ICSE 2021 / arXiv
• PBoS: Probabilistic Bag-of-Subwords for Generalizing Word Embedding,
  Zhao Jinman, Shawn Zhong, Xiaomin Zhang, Yingyu Liang.
  Findings of EMNLP 2020 / arXiv / slides / talk
• Generalizing Word Embeddings using Bag of Subwords,
  Jinman Zhao, Sidharth Mudgal, Yingyu Liang.
  EMNLP 2018 / arXiv / slides / talk
• Neural-Augmented Static Analysis of Android Communication,
  Jinman Zhao, Aws Albarghouthi, Vaibhav Rastogi, Somesh Jha, Damien Octeau.
  FSE 2018 / arXiv / slides / poster
• The Effect of Network Width on the Performance of Large-batch Training,
  Lingjiao Chen, Hongyi Wang, Jinman Zhao, Dimitris Papailiopoulos, Paraschos Koutris.
  NeurIPS 2018 / arXiv

Selected Reports

• Investigating the skip-gram word embedding model, 2017 Spring.
• Low resolution facial landmark detection, 2016 Spring.
• Learning comment topics from code, 2016 Spring.

Service & Activities

• Mentor of Tuan Dinh, Hengzhi Pei, Samika Gupta, Shawn Zhong.
• Reviewer of
  • NeurIPS’23, AMLC’23, Amazon Research Award ‘23, ICML’23, AISTATS’23, ICLR’23, AAAI’23;
  • NeurIPS’22, AMLC’22, Amazon Research Award ‘22, ICML’22 (highlighted reviewer), AISTATS’22 (top reviewer), ICLR’22, AAAI’22;
  • NeurIPS’21, AAAI’21;
  • EMNLP’20, NeurIPS’20, AAAI’20;
  • NeurIPS’19, ICML’19.
• Subreviewer of SysML’20, WWW’20.
• Coach of the UW-Madison’s ICPC Team ‘17-‘19.
• Chair of the UW-Madison’s SACM Event Committee ‘18-‘19.

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Previous PhD site: http://pages.cs.wisc.edu/~jz/

_{^{Last updated 2023/06.}}