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Xiaoxiao Sun (孙晓晓)


About Me

I am a Postdoctoral Researcher in the MARVL lab at Stanford University, advised by Prof. Serena Yeung.

My research interests include computer vision and machine learning. I am currently exploring vision-language models for the automated interpretation of biological images, with the goal of developing new methods tailored to biomedical research.

I received my Ph.D. from the Australian National University in 2024, under the supervision of Prof. Liang Zheng and Prof. Hongdong Li. During the final six months of my Ph.D., I worked as a Research Associate at Nanyang Technological University, under the guidance of Prof. Ying Wei. Prior to that, I was a Research Assistant at the Singapore University of Technology and Design from 2018-2019. I received my M.Sc from Nankai University in 2018, supervised by Prof. Jufeng Yang.

Recent News

  • Co-organizing the 4th DataCV Workshop & Challenge at ICCV 2025. Submissions welcome!
  • One paper is accepted by ICLR 2025

    CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models [Paper]

  • Two papers are accepted by ICLR 2024

    Alice Benchmarks: Connecting Real World Object Re-Identification with the Synthetic [Paper]

    CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis [Paper]

  • One paper is accepted by NeurIPS 2023 for spotlight presentation

    Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception? [Paper] [Project]

Publications

CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models

Shengzhuang Chen, Yikai Liao, Xiaoxiao Sun, Kede Ma, Ying Wei

International Conference on Learning Representations (ICLR), 2025

Alice Benchmarks: Connecting Real World Object Re-Identification with the Synthetic

Xiaoxiao Sun, Yue Yao, Shengjin Wang, Hongdong Li, Liang Zheng

International Conference on Learning Representations (ICLR), 2024

CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis

Xiaoxiao Sun*, Xingjian Leng*, Zijian Wang*, Yang Yang*, Zi Huang, Liang Zheng

International Conference on Learning Representations (ICLR), 2024

Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception?

Xiaoxiao Sun, Nidham Gazagnadou, Vivek Sharma, Lingjuan Lyu, Hongdong Li, Liang Zheng

Neural Information Processing Systems (NeurIPS spotlight), 2023

Ranking Models in Unlabeled New Environments

Xiaoxiao Sun,Yunzhong Hou, Weijian Deng, Hongdong Li, Liang Zheng

International Conference on Computer Vision (ICCV), 2021

Dissecting Person Re-identification from the Viewpoint of Viewpoint

Xiaoxiao Sun, Liang Zheng

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019

Learning from Web Data using Adversarial Discriminative Neural Networks for Fine-Grained Classification

Xiaoxiao Sun, Liyi Chen, Jufeng Yang

AAAI Conference on Artificial Intelligence (AAAI), 2019

A Benchmark for Automatic Visual Classification of Clinical Skin Disease Images

Xiaoxiao Sun, Jufeng Yang, Ming Sun, Kai Wang

European Conference on Computer Vision (ECCV), 2016

Self-Paced Balance Learning for Clinical Skin Disease Recognition

Jufeng Yang, Xiaoping Wu, Jie Liang, Xiaoxiao Sun, Ming-Ming Cheng, Paul L. Rosin and Liang Wang

IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019

Recognition from Web Data: A Progressive Filtering Approach

Jufeng Yang, Xiaoxiao Sun, Yu-Kun Lai, Liang Zheng, Ming-Ming Cheng

IEEE Transactions on Image Processing (TIP), 2018

Historical Context-based Style Classification of Painting Images via Label Distribution Learning

Jufeng Yang, Liyi Chen, Le Zhang, Xiaoxiao Sun, Dongyu She, Shao-Ping Lu, Ming-Ming Cheng

ACM International Conference on Multimedia (ACM MM), 2018

Clinical Skin Lesion Diagnosis using Representations Inspired by Dermatologist Criteria

Jufeng Yang, Xiaoxiao Sun, Jie Liang, Paul L. Rosin

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018

Learning Visual Sentiment Distributions via Augmented Conditional Probability Neural Network

Jufeng Yang, Ming Sun, Xiaoxiao Sun

AAAI Conference on Artificial Intelligence (AAAI), 2017

Arxiv Papers

Learning from Web Data: the Benefit of Unsupervised Object Localization

Xiaoxiao Sun, Liang Zheng, Yu-Kun Lai, Jufeng Yang

arXiv:1812.09232, 2018