I am a Lecturer/Assistant Professor at the School of Mathematics, Physics and Computing, The University of Southern Queensland (UniSQ), Australia. Previously, I worked as an Associate Lecturer and Postdoctoral Research Fellow in the School of EECS, The University of Queensland (UQ), working with Prof. Zi (Helen) Huang from August 2022 to January 2025. From January 2025 to April 2025, I worked as a research fellow in the ODeSI team of the UQ Centre for Clinical Research (UQ-CCR). I obtained my PhD degree in 2023 from UQ, advised by Prof. Zi (Helen) Huang.

My research centers around developing generalizable and applicable ML/AI approaches. For fundamental research, I mainly explore the field of computer vision, particularly in zero-shot learning. For applied AI, I mainly conduct interdisciplinary research on AI for Agriculture and AI for Healthcare.

🚀 I am now looking for highly motivated Ph.D. students, Master’s Students, Research Assistants, and Visiting Scholars working on computer vision and related areas.

🔥 News

• 2025.06:   One paper on Zero-Shot Learning has been accepted to ICCV 2025.

• 2025.05:   Serve as Guest Editor for Complex & Intelligent Systems (JCR-Q1) (Special Issue on Efficient AI for Resource-Constrained and Complex Applications).

• 2025.04:   One paper on Continual Learning has been accepted to IJCAI 2025.

• 2025.04:   One paper on Continual Text-to-Video Retrieval has been accepted to SIGIR 2025.

• 2025.04:   I have joined the University of Southern Queensland as a Lecturer (Assistant Professor) after working as a Postdoc at UQ for two years.

• 2024.12:   One paper on Source-free Open-Set Domain Adaptation has been accepted to AAAI 2025.

• 2024.10:   One paper on Class-Agnostic Object Detection has been accepted to NeurIPS 2024.

• 2024.09:   Our Coarse-to-Fine Prototype Refining Network for Point Cloud Completion and Reconstruction for CVPPA@ECCV 2025 challenge won the first place solution!

• 2024.07:   One paper on In-the-wild Multimodal Disease Recognition has been accepted to ACM MM 2024.

📚 Publications

2025

	SVIP: Semantically Contextualized Visual Patches for Zero-Shot Learning Zhi Chen, Zecheng Zhao, Jingcai Guo, Jingjing Li, Zi Huang ICCV 2025 ZSL arXiv
	Continual Text-to-Video Retrieval with Frame Fusion and Task-Aware Routing Zecheng Zhao, Zhi Chen, Zi Huang, Shazia Sadiq, Tong Chen SIGIR 2025 (Core A*) CL arXiv
	On the Discrimination and Consistency for Exemplar-Free Class Incremental Learning Tianqi Wang, Jingcai Guo, Depeng Li, Zhi Chen IJCAI 2025 CL arXiv
	Dynamic Target Distribution Estimation for Source-free Open-Set Domain Adaptation Zhiqi Yu, Zhichao Liao, Jingjing Li, Zhi Chen, Lei Zhu The 39th Annual AAAI Conference on Artificial Intelligence* AAAI 2025 (Core A*) DA paper
	Physics-Informed Machine Learning Offers Multi-Scale Remote Estimation of Wheat Biomass Dynamics Qiaomin Chen*, Zhi Chen*, et al. IEEE International Geoscience and Remote Sensing Symposium 2025 (IGARSS) AI for Science paper

2024

	DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection Jia Syuen Lim, Zhuoxiao Chen, Zhi Chen, Mahsa Baktashmotlagh, Xin Yu, Zi Huang, Yadan Luo NeurIPS 2024 arXiv / code
	Benchmarking In-the-wild Multimodal Disease Recognition and A Versatile Baseline Tianqi Wei, Zhi Chen, Zi Huang, Xin Yu ACM International Conference on Multimedia (MM)* 2024. (Core A*) AI for Science arXiv / code / dataset
	CF-PRNet: Coarse-to-Fine Prototype Refining Network for Point Cloud Completion and Reconstruction Zhi Chen, Tianqi Wei, Zecheng Zhao, Jia Syuen Lim, Yadan Luo, Hu Zhang, Xin Yu, Scott Chapman, Zi Huang 1st Place solution to CVPPA@ECCV2024: Shape Completion and Reconstruction of Sweet Peppers Challenge. AI for Science arXiv / code / competition
	Track Any Peppers: Weakly Supervised Sweet Pepper Tracking Using VLMs Jia Syuen Lim, Yadan Luo, Zhi Chen, Tianqi Wei, Scott Chapman, Zi Huang 2st Place solution to CVPPA@ECCV2024: Detection and Multi-Object Tracking of Sweet Peppers Challenge. AI for Science paper / competition
	PlantSeg: A Large-Scale In-the-wild Dataset for Plant Disease Segmentation Tianqi Wei, Zhi Chen, Xin Yu, Scott Chapman, Paul Melloy, Zi Huang preprint AI for Science arXiv / code / dataset
	Snap and Diagnose: An Advanced Multimodal Retrieval System for Identifying Plant Diseases in the Wild Tianqi Wei, Zhi Chen, Xin Yu, Scott Chapman, Paul Melloy, Zi Huang ACM International Conference on Multimedia in Asia 2024. AI for Science paper
	FastEdit: Fast Text-Guided Single-Image Editing via Semantic-Aware Diffusion Fine-Tuning Zhi Chen, Zecheng Zhao, Yadan Luo, Zi Huang pre-print Image Editing arXiv / code
	Towards Cost-Efficient Federated Multi-Agent Reinforcement Learning with Learnable Aggregation Yi Zhang, Sen Wang, Zhi Chen, Xuwei Xu, Stano Funiak, Frank de Hoog, Jiajun Liu The Pacific-Asia Conference on Knowledge Discovery and Data Mining* (PAKDD) 2024. (Best Student Paper Award) RL paper
	On the Element-Wise Representation and Reasoning in Zero-Shot Image Recognition: A Systematic Survey Jingcai Guo, Zhijie Rao, Zhi Chen, Song Guo, Jingren Zhou, Dacheng Tao pre-print ZSL arXiv
	Secondary analysis of newly diagnosed type 2 diabetes subgroups and treatment responses in the MARCH cohort Weihao Wang, Xiaobei Li, Fei Chen, Ran Wei, Zhi Chen, Jingjing Li, Jingtao Qiao, Qi Pan, Wenjing Yang, Lixin Guo Diabetes & Metabolic Syndrome: Clinical Research & Reviews.* 2024. (IF:10.0) AI for Science paper

2023

	Zero-Shot Learning by Harnessing Adversarial Samples Zhi Chen, Pengfei Zhang, Jingjing Li, Sen Wang, Zi Huang ACM International Conference on Multimedia 2023 ZSL arXiv / code
	Federated Zero-Shot Learning for Visual Recognition Zhi Chen, Yan Luo, Sen Wang, Jingjing Li, Zi Huang pre-print ZSL arXiv
	Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration Error Zixin Wang, Yadan Luo, Zhi Chen, Sen Wang, Zi Huang ACM International Conference on Multimedia 2023 DA arXiv / code
	Don't Paint Everyone with the Same Brush: Adaptive Prompt Prototype Learning for Vision-Language Models Zhi Chen, Xin Yu, Zi Huang pre-print arXiv
	Optimizing Taxi Route Planning Based on Taxi Trajectory Data Analysis Xinyi Yang, Zhi Chen, Yadan Luo Australasian Database Conference* (ADC) 2023. AI for Transport paper

2022

	GSMFlow: Generation Shifts Mitigating Flow for Generalized Zero-Shot Learning Zhi Chen, Yadan Luo, Sen Wang, Jingjing Li, Zi Huang IEEE Transactions on Multimedia (TMM) (Core A*) (IF: 8.182) ZSL paper / code
	Distinguishing Unseen from Seen for Generalized Zero-shot Learning Hongzu Su, Jingjing Li, Zhi Chen, Lei Zhu, Ke Lu The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022. (Core A*) ZSL Paper / code
	Pixel Exclusion: Uncertainty-aware Boundary Discovery for Active Cross-Domain Semantic Segmentation Fuming You, Jingjing Li, Zhi Chen, Lei Zhu ACM International Conference on Multimedia* (MM) 2022. (Core A*) DA paper
	Application of novel subgroups of Chinese inpatients with diabetes based on machine learning paradigm Weihao Wang, Zhi Chen, Sen Wang, Fei Chen, Mingqun Deng, Qi Pan, Lixin Guo Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2022. (JCR Q1) (IF:10.0) (Co-first Author) AI for Science paper
	FluMA: An Intelligent Platform for Influenza Monitoring and Analysis Xi Chen, Zhi Chen, Zijian Wang, Ruihong Qiu, Yadan Luo Australasian Database Conference* 2022 AI for Science paper

2021

	Semantics Disentangling for Generalized Zero-Shot Learning Zhi Chen, Yadan Luo, Ruihong Qiu, Sen Wang, Zi Huang, Jingjing Li, Zheng Zhang ICCV 2021. (Core A*) ZSL paper / code
	Mitigating Generation Shifts for Generalized Zero-Shot Learning Zhi Chen, Yadan Luo, Sen Wang, Ruihong Qiu, Jingjing Li, Zi Huang ACM International Conference on Multimedia (MM) 2021. (Core A*) ZSL paper / code
	Entropy-Based Uncertainty Calibration for Generalized Zero-Shot Learning Zhi Chen, Zi Huang, Jingjing Li, Zheng Zhang 2021 Australasian Database Conference. (Best student paper – Highly Commended) ZSL arXiv
	Domain Adaptive Semantic Segmentation without Source Data Fuming You, Jingjing Li, Lei Zhu, Zhi Chen, Zi Huang ACM International Conference on Multimedia* (MM) 2021. (Core A*) DA paper / code
	Local Graph Convolutional Networks for Cross-Modal Hashing Yudong Chen, Sen Wang, Jianlin Lu, Zhi Chen, Zheng Zhang, Zi Huang ACM International Conference on Multimedia* (MM) 2021. (Core A*) Hashing paper /code
	CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation Ruihong Qiu, Sen Wang, Zhi Chen, Hongzhi Yin, Zi Huang ACM International Conference on Multimedia* (MM) 2021. (Core A*) Rec paper / code
	Application of new international classification of adult-onset diabetes in Chinese inpatients with diabetes mellitus Weihao Wang, Xiaobei Pei, Lina Zhang, Zhi Chen, Dong Lin, Xiaoye Duan, Jingwen Fan, Qi Pan, Lixin Guo Diabetes/Metabolism Research and Reviews. 2021.* (IF: 8.02) AI for Science arXiv

2020

	CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language Zhi Chen, Jingjing Li, Yadan Luo, Zi Huang, Yang Yang The IEEE Winter Conference on Applications of Computer Vision (WACV) 2020. (Core A) ZSL arXiv / code
	Rethinking Generative Zero-Shot Learning: An Ensemble Learning Perspective for Recognising Visual Patches Zhi Chen, Sen Wang, Jingjing Li, Zi Huang ACM International Conference on Multimedia 2020.* (Core A*) ZSL paper / code

🧑🏻‍🏫 Teachings

As Instructor

DATA7002 Responsible Data Science (Co-Instructor with Dr. Michael Vincent, Dr. Hamish MacDonald, Dr. Slava Vaisman) (SECaT: 4.28/5.0)

School of Electrical Engineering and Computer Science, University of Queensland, 2rd Term 2024

• Course webpage
• Topics Covered: Responsible Machine Learning, Fairness-Aware Machine Learning

Cloud Computing (Co-Instructor with A/Prof. Sen Wang) (SECaT: 4.53/5.0)

School of Electrical Engineering and Computer Science, University of Queensland, 2rd Term 2024

• Course webpage
• Topics Covered: Vector Databases, NoSQL Databases, RDD Computing, Spark Framework

Advanced Database Systems (Co-Instructor with Prof. Shazia Sadiq and A/Prof. Sen Wang) (SECaT: 4.63/5.0)

School of Electrical Engineering and Computer Science, University of Queensland, 2rd Term 2024

• Course webpage
• Topics Covered: Column-Oriented Databases, Data Lakes, Data Lakehouses

DATA7002 Responsible Data Science (Co-Instructor with Dr. Michael Vincent, Dr. Hamish MacDonald, Dr. Slava Vaisman) (SECaT: 4.21/5.0)

School of Electrical Engineering and Computer Science, University of Queensland, 2rd Term 2023

• Course webpage
• Topics Covered: Responsible Machine Learning, Fairness-Aware Machine Learning

👔 Services

Conference Service

• IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022-2024
  
• IEEE/CVF International Conference on Computer Vision (ICCV) 2023
  
• European Conference on Computer Vision (ECCV) 2022, 2024
  
• ACM International Conference on Multimedia (MM) 2021-2024 (Outstanding Reviewer @ 2024)
  
• AAAI Conf. on Artificial Intelligence (AAAI) 2022-2024
  
• IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2023
  

Journal Editorship

• IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2024
  
• International Journal of Computer Vision (IJCV) 2024
  
• IEEE Transactions on Multimedia (TMM) 2022-2023
  
• IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2023-2024
  
• IEEE Transactions on Cognitive and Developmental Systems (TCDS) 2023