Haoran Li

About Me

I am a third-year Ph.D candidate at University of Wollongong, advised by Prof. Jun Shen, Dist.Prof. Zhengyi Jiang, Dr. Bo Du and Dr. Jiahua Shi. I’m currently served as a visiting research student a the University of Queensland hosted by Dr. Jiahua Shi. I also work closely with Prof. Min Xu and Dr. Xingjian Li on AI in Cryo-Electron Tomography at Carnegie Mellon University. I was a visiting student at the Harbin Institute of Technology, Shen zhen hosted by Prof. Yong Xu. Before Ph.D., I worked as a research assistant at Shandong University under the supervision of Prof. Liqiang Nie.

I received my Master’s degree from the University of Leeds under the supervision of Dr.Matteo Leonetti, and my Bachelor’s degree from Hangzhou Dianzi University.

Research Interests

Computer Vision: Image Segmentation, Image Classification, Biomedical Image Processing
Deep Learning: Zero-shot Learning, Unsupervised Domain Adaptation

News

[Jun. 2025] One paper is accepted at ICCV 2025 as a co-first author.
[May. 2025] One paper is accepted at SIGKDD 2025 as a co-first author.
[May. 2025] One paper is accepted at ICWS 2025.
[Jan. 2025] One paper is accepted by IEEE Transactions on Geoscience and Remote Sensing.
[Dec. 2024] One paper is accepted by AAAI 2025 as the first author.
[Sep. 2024] One paper is accepted by Neurips 2024.
[Jun. 2024] One paper is accepted by Briefings in Bioinformatics.
[Feb. 2024] One paper is accepted by ISBI 2024 as the first author.
[Dec. 2023] One paper is accepted by Knowledge-Based System.
[Aug. 2023] One paper is accepted by IEEE Transactions on Image Processing as the first author.
[Jun. 2022] One paper is accepted by MICCAI 2022.

Selective Publications

^* Equal contribution, ^† Corresponding author [View All Publications]

ICCV 2025

FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning

Huan Wang^*, Haoran Li^*, Huaming Chen, Yan Jun, Jiahua Shi, Jun Shen^†

IEEE/CVF International Conference on Computer Vision (ICCV), 2025.

SIGKDD 2025

FedSC: Federated Learning with Semantic-Aware Collaboration

Huan Wang^*, Haoran Li^*, Huaming Chen, Yan Jun, Jiahua Shi, Jun Shen^†

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), 2025.

AAAI 2025

Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling

Haoran Li, Xingjian Li, Jiahua Shi, Huaming Chen, Bo Du, Daisuke Kihara, Johan Barthelemy, Jun Shen^†, Min Xu^†

AAAI Conference on Artificial Intelligence (AAAI), 2025.

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Neurips 2024

Metric from human: Zero-shot monocular metric depth estimation via test-time adaptation

Yizhou Zhao, Hengwei Bian, Kaihua Chen, Pengliang Ji, Liao Qu, Shao-yu Lin, Weichen Yu, Haoran Li, Hao Chen, Jun Shen, Bhiksha Raj, Min Xu^†

Annual Conference on Neural Information Processing Systems (Neurips), 2024.

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ISBI 2024

FDNet: Frequency Domain Denoising Network For Cell Segmentation In Astrocytes Derived From Induced Pluripotent Stem Cells

Haoran Li, Jiahua Shi^†, Huaming Chen, Bo Du, Simon Maksour, Gabrielle Phillips, Mirella Dottori, Jun Shen

IEEE International Symposium on Biomedical Imaging (ISBI), 2024.

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TIP

Zero-shot Camouflaged Object Detection

Haoran Li, Chun-Mei Feng, Yong Xu, Tao Zhou, Lina Yao, Xiaojun Chang^†

IEEE Transactions on Image Processing (TIP), 2023.

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Selective Publications

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