Conghao XIONG PhD Candidate Department of Computer Science and Engineering The Chinese University of Hong Kong Gigapixel Image Understanding · Multimodal Learning · Computational Pathology 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. Before CUHK, I was a visiting/research student at Johns Hopkins University with Prof. Philipp Koehn and a visiting student at the University of Cambridge. I received my B.Eng. in Computer Science from Harbin Institute of Technology (HIT).

My research focuses on gigapixel image understanding and multimodal learning, primarily on computational pathology, including whole-slide image representation, pathology foundation model feature adaptation/evaluation, visual compression, and WSI-genomics fusion. My earlier work in NLP/MT studied low-resource word alignment and cross-lingual representation learning.

I welcome collaborations on computational pathology, gigapixel image understanding, multimodal learning, and biomedical AI. Feel free to reach out by email.

News

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. Topics: gigapixel image understanding, few-shot learning, pathology foundation model feature adaptation, representation geometry. [Codes][Wechat Article(Chinese)]
	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. Topics: multimodal learning, continual learning, WSI-genomics fusion, survival analysis. [Codes]
	A Survey of Pathology Foundation Model: Progress and Future Directions Conghao Xiong, Hao Chen, Joseph J. Y. Sung IJCAI Survey Track, 2025 (19.6%). Topics: pathology foundation models, pretraining, evaluation, biomedical AI. [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. Topics: visual compression, gigapixel image understanding, language-guided patch selection, data-efficient learning. [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%). Topics: multimodal fusion, mixture-of-experts, WSI-genomics learning, cross-modal interactions. [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. Topics: transfer learning, weak supervision, whole-slide image classification, computational pathology. [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%). Topics: multiple instance learning, transformer attention, hierarchical WSI modeling, interpretability. [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. Topics: clinical AI, gastric cancer risk prediction, biopsy image analysis, computational pathology.
	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. Topics: NLP, machine translation, word alignment, cross-lingual representation learning. [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)

Talks and Presentations

PuzzleLogic

2026

Exploiting Structure Beyond Labels for Data-Efficient Computational Pathology [Video]

Teaching

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