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Junhao Liu

I am a fourth-year PhD candidate in computer science at the University of California, Irvine, advised by Prof. Jing Zhang. Prior to this, I received my master’s degree from the University of Chinese Academy of Sciences. During my time at UCAS, I was a member of SIAT-NLP and was advised by Prof. Min Yang. My bachelor’s degree was obtained from the South China University of Technology.

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  • May 2025 - 🔥 One position paper on multimodal DNA generative models accepted by ICIP 2025!

  • May 2025 - 🔥 One paper accepted by KDD 2025 (acceptance rate 18.4%)!

  • Dec 2024 - Our ACML paper has been selected as the Best Student Paper!!!

  • Dec 2024 - One paper accepted by AAAI 2025! Thanks to all coauthors!

  • Sep 2024 - One paper accepted by ACML 2024 (acceptance rate 26%)!

  • July 2024 - One paper accepted by CIKM 2024!

Research Interests

My research interests are natural language processing (NLP), large language models (LLMs), deep generative models, and their applications in computational biology. Recently, I have been focusing on the following directions:

  • 🧬 Genomics Language Models: DNA and Cell Foundation Models

  • ⚗️ AI for Science: Deep Generative Models for Biological Data Processing and Scientific Discovery

  • 🧐 Interpretable Learning for Biological Problem: Feature Explanation and Feature Visualization for Single-Cell Data

Honors and Awards

  • ACML 2024 Best Student Paper Award

  • UC Irvine CS Department Dean’s Award

  • UC San Diego ECE Department Fellowship

  • National Scholarship for Graduate Student

  • AAAI 2020 Student Scholarship

  • Third Prize of Byte Cup 2018 IML Contest (Awarded by CAAI and ByteDance)

Professional Service

  • Reviewer for NeurIPS, ICML, ICLR, KDD, ICCV, AISTATS, ACL Rolling Review, ACL, EMNLP, AAAI, COLING

  • Reviewer for IEEE Transactions on Cybernetics, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Cognitive and Developmental Systems, Pattern Recognition, Knowledge-Based Systems, Neurocomputing

  • Program Committee Member for IEEE AIMHC 2024

Teaching Experience

  • Teaching Assistant, ICS 6D: Introduction to Discrete Mathematics, UC Irvine, Winter 2023

  • Teaching Assistant, CS 178: Introduction of Machine Learning, UC Irvine, Fall 2022