Zhi Chen is a Postdoctoral Research Fellow in School of EECS, The University of Queensland, working with Prof. Zi (Helen) Huang. He obtained his PhD degree in 2022 from UQ, advised by Prof. Zi (Helen) Huang. His research interests mainly include zero-shot learning, generative modelling, multimedia understanding, and digital agriculture.

Publication

• Jia Syuen Lim, Zhuoxiao Chen, Zhi Chen, Mahsa Baktashmotlagh, Xin Yu, Zi Huang, Yadan Luo DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection, NeurIPS 2024.
• Zhi Chen, Tianqi Wei, Zecheng Zhao, Jia Syuen Lim, Yadan Luo, Hu Zhang, Xin Yu, Scott Chapman, Zi Huang CF-PRNet: Coarse-to-Fine Prototype Refining Network for Point Cloud Completion and Reconstruction, 1st Place solution to CVPPA@ECCV2024: Shape Completion and Reconstruction of Sweet Peppers Challenge.
• Tianqi Wei, Zhi Chen, Xin Yu, Scott Chapman, Paul Melloy, Zi Huang PlantSeg: A Large-Scale In-the-wild Dataset for Plant Disease Segmentation, preprint 2024.
• Zhi Chen, Zecheng Zhao, Yadan Luo, Zi Huang FastEdit: Fast Text-Guided Single-Image Editing via Semantic-Aware Diffusion Fine-Tuning, preprint 2024.
• Tianqi Wei, Zhi Chen, Zi Huang, Xin Yu, Benchmarking In-the-wild Multimodal Disease Recognition and A Versatile Baseline, ACM International Conference on Multimedia (MM) 2024. (Core A*)
• Yi Zhang, Sen Wang, Zhi Chen, Xuwei Xu, Stano Funiak, Frank de Hoog, Jiajun Liu, Towards Cost-Efficient Federated Multi-Agent Reinforcement Learning with Learnable Aggregation, The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2024.
• Zhi Chen, Xin Yu, Zi Huang, Don’t Paint Everyone with the Same Brush: Adaptive Prompt Prototype Learning for Vision-Language Models, preprint, 2024.
• Weihao Wang, Xiaobei Li, Fei Chen, Ran Wei, Zhi Chen, Jingjing Li, Jingtao Qiao, Qi Pan, Wenjing Yang, Lixin Guo Secondary analysis of newly diagnosed type 2 diabetes subgroups and treatment responses in the MARCH cohort, Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2024. (IF:10.0)
• Zhi Chen, Pengfei Zhang, Jingjing Li, Sen Wang, Zi Huang, Zero-Shot Learning by Harnessing Adversarial Samples, ACM International Conference on Multimedia (MM) 2023. (Core A*)
• Zixin Wang, Yadan Luo, Zhi Chen, Sen Wang, Zi Huang, Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration Error, ACM International Conference on Multimedia (MM) 2023. (Core A*)
• Xinyi Yang, Zhi Chen, Yadan Luo, Optimizing Taxi Route Planning Based on Taxi Trajectory Data Analysis, Australasian Database Conference (ADC) 2023.
• Zhi Chen, Generalising to the unseen-zero-shot learning via generative modelling for visual recognition, PhD thesis, 2023.
• Zhi Chen, Yadan Luo, Sen Wang, Jingjing Li, Zi Huang, Federated Zero-Shot Learning for Visual Recognition, preprint, 2022.
• Weihao Wang*, Zhi Chen*, Sen Wang, Fei Chen, Mingqun Deng, Qi Pan, Lixin Guo, Application of novel subgroups of Chinese inpatients with diabetes based on machine learning paradigm, Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2022. (JCR Q1) (IF:10.0) (Co-first Author)
• Xi Chen, Zhi Chen, Zijian Wang, Ruihong Qiu, Yadan Luo, FluMA: An Intelligent Platform for Influenza Monitoring and Analysis, Australasian Database Conference (ADC) 2022.
• Zhi Chen, Yadan Luo, Sen Wang, Jingjing Li, Zi Huang, GSMFlow: Generation Shifts Mitigating Flow for Generalized Zero-Shot Learning, IEEE Transactions on Multimedia (TMM). 2022. (Core A*) (IF: 8.182)
• Hongzu Su, Jingjing Li, Zhi Chen, Lei Zhu, Ke Lu, Distinguishing Unseen from Seen for Generalized Zero-shot Learning, The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022. (Core A*)
• Fuming You, Jingjing Li, Zhi Chen, Lei Zhu, Pixel Exclusion: Uncertainty-aware Boundary Discovery for Active Cross-Domain Semantic Segmentation, ACM International Conference on Multimedia (MM) 2022. (Core A*)
• Zhi Chen, Yadan Luo, Ruihong Qiu, Sen Wang, Zi Huang, Jingjing Li, Zheng Zhang, Semantics Disentangling for Generalized Zero-Shot Learning, IEEE/CVF International Conference on Computer Vision (ICCV) 2021. (Core A*)
• Fuming You, Jingjing Li, Lei Zhu, Zhi Chen, Zi Huang, Domain Adaptive Semantic Segmentation without Source Data, ACM International Conference on Multimedia (MM) 2021. (Core A*)
• Zhi Chen, Yadan Luo, Sen Wang, Ruihong Qiu, Jingjing Li, Zi Huang, Mitigating Generation Shifts for Generalized Zero-Shot Learning, ACM International Conference on Multimedia (MM) 2021. (Core A*)
• Yudong Chen, Sen Wang, Jianlin Lu, Zhi Chen, Zheng Zhang, Zi Huang, Local Graph Convolutional Networks for Cross-Modal Hashing, ACM International Conference on Multimedia (MM) 2021. (Core A*)
• Weihao Wang, Xiaobei Pei, Lina Zhang, Zhi Chen, Dong Lin, Xiaoye Duan, Jingwen Fan, Qi Pan, Lixin Guo, Application of new international classification of adult-onset diabetes in Chinese inpatients with diabetes mellitus, Diabetes/Metabolism Research and Reviews. 2021. (IF: 8.02)
• Zhi Chen, Zi Huang, Jingjing Li, Zheng Zhang, Entropy-Based Uncertainty Calibration for Generalized Zero-Shot Learning, 2021 Australasian Database Conference. (Best student paper – Highly Commended)
• Ruihong Qiu, Sen Wang, Zhi Chen, Hongzhi Yin, Zi Huang, CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation, ACM International Conference on Multimedia (MM) 2021. (Core A*)
• Zhi Chen, Jingjing Li, Yadan Luo, Zi Huang, Yang Yang, CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language, The IEEE Winter Conference on Applications of Computer Vision (WACV) 2020. (Core A)
• Zhi Chen, Sen Wang, Jingjing Li, Zi Huang, Rethinking Generative Zero-Shot Learning: An EnsembleLearning Perspective for Recognising Visual Patches, ACM International Conference on Multimedia 2020. (Core A*)
• Zhi Chen, Yadan Luo, Cycle-Consistent Diverse Image Synthesis from Natural Language, IEEE International Conference on Multimedia & Expo Workshops 2019

Services

Reviewer

• 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
• 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

Teaching Experience

• Semester 2, 2024 - INFS3208 Cloud Computing (lecturer)
• Semester 2, 2024 - INFS3200 Advanced Database Systems (lecturer)
• Semester 2, 2024 - DATA7002 Responsible Data Science (lecturer)
• Semester 1, 2024 - INFS7901 Database Principles (lecturer)
• Semester 2, 2023 - DATA7002 Responsible Data Science (lecturer)
• Semester 2, 2021 - DATA7901 Data Science Capstone Project 1
• Semester 2, 2021 - INFS3208 Cloud Computing (Head Tutor)
• Semester 1&2, 2020 - Supervision for Master Thesis Project
• Semester 2, 2020 - INFS3208/7208 Cloud Computing
• Semester 1, 2020 - INFS3202/7202 Web information systems
• Semester 2, 2019 - INFS3208/7208 Cloud Computing
• Semester 1, 2019 - INFS3202/7202 Web information systems