Peizhen Li

Ph.D. Candidate

School of Computing

Macquarie University

Email: peizhen.li1@hdr.mq.edu.au

Google Scholar / Github / CV

Current Research Topics

Embodied MLLM
Affective Human-Robot Interaction System
Humanoid Expression Imitation & Generation

I am a PhD candidate at Macquarie University's School of Computing, advised by Prof. Longbing Cao. My research lies at the intersection of Embodied MLLMs and Affective Human-Robot Interaction. I am particularly interested in developing Realistic Humanoid Facial Expression Imitation & Generation systems that allow robots to communicate naturally and empathetically with humans.

Before my doctoral studies, I earned my Master's and Bachelor's degrees from Sun Yat-sen University and spent three years as a Senior Game Development Engineer at NetEase Games, where I developed a foundation in real-time rendering and complex system architecture.

Honors & Awards 🏆

Google PhD Fellowship, 2024
Research Rising Star Award, Macquarie University, 2024
International Macquarie Research Excellence Scholarship, 2023-2026
Outstanding Master Graduate, Sun Yat-sen University, 2020
National Scholarship for Postgraduates, Sun Yat-sen University, 2018, 2019
National Encouragement Scholarship, Sun Yat-sen University, 2015, 2016
Sun Hung Kai Properties Kwok Foundation Sun Yat-sen University Encouragement Scholarship, 2014
First Prize of Excellent Student Scholarship, Sun Yatsen University, 2014, 2015, 2016

Selected Publications 📖

	VividFace: Real-Time and Realistic Facial Expression Shadowing for Humanoid Robots Peizhen Li, Longbing Cao, Xiao-Ming Wu, Yang Zhang ICRA 2026 Paper / Website
	UGotMe: An Embodied System for Affective Human-Robot Interaction Peizhen Li, Longbing Cao, Xiao-Ming Wu, Xiaohan Yu, Runze Yang ICRA 2025 Paper / Website
	EdMot: An Edge Enhancement Approach for Motif-aware Community Detection Peizhen Li, Ling Huang, Chang-Dong Wang, Jian-Huang Lai KDD 2019 Oral Presentation Paper / Code
	Community Detection by Motif-Aware Label Propagation Peizhen Li, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Dong Huang TKDD 2020 Paper / Code
	Brain network analysis for auditory disease: A twofold study Peizhen Li, Ling Huang, Chang-Dong Wang, Chuan Li, Jian-Huang Lai Neurocomputing 2019 Paper
	Community Detection Using Attribute Homogenous Motif Peizhen Li, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai IEEE Access 2018 Paper
	Higher-Order Brain Network Analysis for Auditory Disease Peizhen Li, Yue-Xin Cai, Chang-Dong Wang, Mao-Jin Liang, Yi-Qing Zheng Neural Processing Letters 2018 Paper
	Discriminative metric learning for multi-view graph partitioning Juan-Hui Li, Chang-Dong Wang, Peizhen Li, Jian-Huang Lai Pattern Recognition 2018 Paper

Services 📝

Journal Reviewer

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
ACM Computing Surveys (CSUR)
Expert Systems with Applications (ESWA)

Conference Reviewer

IEEE International Conference on Robotics and Automation (ICRA), 2026
International Joint Conference on Artificial Intelligence (IJCAI), 2025
IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2024

Teaching 🧑‍🎓

Teaching Associate, COMP8420: Advanced NLP, School of Computing, Macquarie University, 2026
Guest Lecturer, COMP8420: Advanced NLP, School of Computing, Macquarie University, 2025
Guest Lecturer, COMP8430: Advanced Computer Vision and Action, School of Computing, Macquarie University, 2024
Teaching Assistant, Advanced Mathematics, School of Computer Science and Engineering, Sun Yat-sen University, 2019
Teaching Assistant, Data Mining, School of Computer Science and Engineering, Sun Yat-sen University, 2018

Experience 💼

Game Development Engineer (Diablo Immortal, ZOZ), Netease Games, 2020-2023
Algorithm Engineer intern, WeBank, 2019
Machine Learning Project intern, Netease Games, 2019

Education 🏛️

	Macquarie University 2023 - Present, Sydney, Australia Ph.D. in Computer Science Advisor: Prof. Longbing Cao
	Sun Yat-sen University 2017 - 2020, Guangzhou, China M.Eng. in Computer Science Advisor: Prof. Chang-Dong Wang
	Sun Yat-sen University 2013 - 2017, Guangzhou, China B.Eng. in Software Engineering Advisor: Prof. Chang-Dong Wang