Conghao XIONG Ph.D. Candidate Department of Computer Science and Engineering The Chinese University of Hong Kong Email: chxiong21@cse.cuhk.edu.hk

Biography

I am a fifth-year PhD candidate in Computer Science at The Chinese University of Hong Kong (CUHK), supervised by Prof. Irwin King, Prof. Joseph J. Y. Sung and Prof. Hao Chen. Prior to my doctoral studies at CUHK, I was a visiting and research student at the Johns Hopkins University (JHU) under the supervision of Prof. Philipp Koehn, and a visiting student at the University of Cambridge. I obtained my B. Eng. of Computer Science degree from Harbin Institute of Technology (HIT), where I have been closely working with Prof. Weinan Zhang.

At present, my research focuses on: Representation Learning, Few Shot Learning, Transfer Learning, Multimodal Learning, and End-to-End Training, particularly those in Computational Pathology.

Welcome ALL forms of collaboration. Feel free to reach out to me via email!

Selected Publications [Google Scholar]

* joint first authors                                

	Exploiting Low-Dimensional Manifold of Features for Few-shot Whole Slide Image Classification Conghao Xiong, Zhengrui Guo, Zhe Xu, Yifei Zhang, Raymond Kai-yu Tong, Si Yong Yeo, Hao Chen, Joseph J. Y. Sung, Irwin King ICLR, 2026.
	ConSurv: Multimodal Continual Learning for Survival Analysis Dianzhi Yu, Conghao Xiong, Yankai Chen, Wenqian Cui, Xinni Zhang, Yifei Zhang, Hao Chen, Joseph J. Y. Sung, Irwin King AAAI, 2026.
	A Survey of Pathology Foundation Model: Progress and Future Directions Conghao Xiong, Hao Chen, Joseph J. Y. Sung IJCAI Survey Track, 2025 (19.6%) . [Codes][Wechat Article(Chinese)]
	FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification Zhengrui Guo, Conghao Xiong, Jiabo Ma, Qichen Sun, Lishuang Feng, Jinzhuo Wang, Hao Chen CVPR, 2025. [Codes]
	MoME: Mixture of Multimodal Experts for Cancer Survival Prediction Conghao Xiong, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King MICCAI, 2024 (Early Accepted, 11%) . [Codes][Wechat Article(Chinese)]
	TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification Conghao Xiong*, Yi Lin*, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King MICCAI, 2024. [Codes]
	Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification Conghao Xiong, Hao Chen, Joseph J. Y. Sung, Irwin King IJCAI, 2023 (14.8%) . [Codes]
	Mo1243 Prediction of Gastric Cancer Development from Intestinal Metaplasia Using Deep Learning Model in Gastric Biopsies Conghao Xiong, Ronald C. K. Chan, Hao Chen, Louis H. S. Lau, Irwin King, Joseph J. Y. Sung Gastroenterology, 2023.
	Embedding-Enhanced GIZA++: Improving Low-Resource Word Alignment Using Embeddings Kelly Marchisio, Conghao Xiong, Philipp Koehn Biennial conference of the Association for Machine Translation in the Americas, 2022. [Codes]

Academic Services

• Conference Reviews:
  International Conference on Machine Learning (ICML)
  International Conference on Learning Representations (ICLR)
  Conference on Neural Information Processing Systems (NeurIPS)
  Conference on Computer Vision and Pattern Recognition (CVPR)
  International Conference on Computer Vision (ICCV)
  International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
  European Conference on Computer Vision (ECCV)
  International Joint Conference on Artificial Intelligence (IJCAI)
  ACM International Conference on Web Search and Data Mining (WSDM)
  European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)
  

• Journal Reviews:
  International Journal of Computer Vision (IJCV)
  IEEE Transactions on Medical Imaging (TMI) (Distinguished Reviewer)
  Medical Image Analysis (MedIA)
  Information Fusion
  IEEE Journal of Biomedical and Health Informatics (IEEE JBHI)
  International Journal of Data Science and Analytics (JDSA)
  IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

Teaching

CUHK	2022	Spring	Computers and Society (CSCI3250)
CUHK	2021	Fall	Introduction to Python (CSCI2040)

© Conghao Xiong | Last updated: May 2025