Jinman Zhao

jzhao@cs.toronto.edu

About Me

Jinman

I graduated with the Honours Bachelor of Science at the University of Toronto with Computer Science Specialist and Math Minor. I was supervised by Gerald Penn and Roger Grosse during my undergrad.

When I graduated, I won Rose Sheinin Award and St.Michael College Gold Medals. I Nominated by the Governor General’s Silver Medals. Here are the links: link, link.

Now I am a PhD candidate in the Department of Computer Science at University of Toronto, supervised by Gerald Penn.

Resume

Research and Interests

Language Modelling, Grammars, AI system optimizing, Math.

Publications:

4 paper accepted by ACL2025: coming soon

PolyMorphous: An MLIR-Based Polyhedral Compiler with Loop Transformation Primitives. Jinman Zhao, A. Wang, A. Vahabpour, X. Yue and T.Abdelrahman. IPDPS 2025 (best paper nomination)

Inside-Outside Algorithm for Probabilistic Product-Free Lambek Categorial Grammar.Jinman Zhao and Gerald Penn. COLING 2025

Categorial Grammar Suppertagging via Large Language Model.Jinman Zhao and Gerald Penn. EMNLP 2024

Large Language Model is not a (Multilingual) Compositional Relation Reasoner.Jinman Zhao* and Xueyan Zhang*. COLM2024

CD_Pos:Long Context Generalization in LLMs Through Continuous and Discrete Position Synthesis.Zhiyuan Hu, Yuliang Liu, Jinman Zhao, Suyuchen Wang, Wangyan, Wei Shen, Chao Yin, Bryan Hooi. LCFM@ICML2024

GPT-Signal: Generative AI for Semi-automated Feature Engineering in the Alpha Research Process. Yining Wang, Jinman Zhao and Lawryshyn Yuri. FINNLP-AGENTSCEN@IJCAI2024

A Generative Model For Lambek Categorial Sequents. Jinman Zhao and Gerald Penn. COLING 2024.

A Generative Process for Lambek Categorial Proof Nets. Jinman Zhao and Gerald Penn. MOL2021.

Structural Realization with GGNNs. Jinman Zhao and Gerald Penn. 2021. TEXTGRAPHS@NAACL 2021.

Talks:

A Generative Process for Lambek Categorial Proof Nets. @ MOL2021

Structural Realization with GGNNs. @ Textgraphs @ NAACL2021

A TVM IR to MLIR Automatic Converter: Bridging TVM with MLIR ecosystem. @ TVM Conf 2020

Teaching Assistant

Introduction to Machine Learning.

Algorithms.

Data structures.

Calculus I&II.

Linear Algebra.

Resume

JinmanZhaoCV

maxim

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