Xuan Gong' Homepage

Xuan Gong

Postdoc
Department of Biomedical Informatics, Harvard Medical School
Email: xuan_gong AT hms DOT harvard DOT edu

Bio

I am a Postdoctoral Fellow in the Yu Lab at Department of Biomedical Informatics, Harvard Medical School. I am also a Visiting Postdoctoral Fellow in the Snyder Lab at Department of Genetics, Stanford University.

I received my bachelor's and master's degrees from Beihang University, and earned my PhD in Computer Science from University at Buffalo. During my PhD, I worked as a Research Intern at Google VR, Meta Reality Lab, Alibaba DAMO USA, OPPO US Research, and UII America.

Selected Publications

	FairLLaVA: Fairness-Aware Parameter-Efficient Fine-Tuning for Large Vision-Language Assistants Mahesh Bhosale, Abdul Wasi, Shantam Srivastava, Shifa Latif, Tianyu Luan, Mingchen Gao, David Doermann, Xuan Gong IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026 [code]
	Preoperative Prediction of Esophageal Cancer Survival in CT via Tumor and Lymph Node Context and Geometry Modeling Xuan Gong, Jiaqi Li, Yirui Wang, Haoshen Li, Jiawen Yao, Lianzhen Zhong, Dazhou Guo, Ke Yan, David Doermann, Le Lu, Feiran Jiao, Tsung-Ying Ho, Ling Zhang, Abudili Abuduxuku, Haifeng Wang, Xianghua Ye, Dakai Jin, Qifeng Wang IEEE Transactions on Medical Imaging (TMI), 2026
	PathDiff: Histopathology Image Synthesis with Unpaired Text and Mask Conditions Mahesh Bhosale, Abdul Wasi, Yuanhao Zhai, Yunjie Tian, Samuel Border, Nan Xi, Pinaki Sarder, Junsong Yuan, David Doermann, Xuan Gong IEEE/CVF International Conference on Computer Vision (ICCV), 2025 [code]
	CPath-Omni: A Unified Multimodal Foundation Model for Patch and Whole Slide Image Analysis in Computational Pathology Yuxuan Sun , Yixuan Si, Chenglu Zhu, Xuan Gong, Kai Zhang, Pingyi Chen, Ye Zhang, Zhongyi Shui, Tao Lin, Lin Yang IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025 [code]
	Spectrum AUC Difference (SAUCD): Human-aligned 3D Shape Evaluation Tianyu Luan, Zhong Li, Lele Chen, Xuan Gong, Lichang Chen, Yi Xu, Junsong Yuan IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 [code]
	Federated Learning via Input-Output Collaborative Distillation Xuan Gong^, Shanglin Li^, Yuxiang Bao^, Barry Yao, Yawen Huang, Ziyan Wu, Baochang Zhang, Yefeng Zheng, David Doermann AAAI Conference on Artificial Intelligence (AAAI)*, 2024 [code]
	Progressive Multi-view Human Mesh Recovery with Self-Supervision Xuan Gong, Liangchen Song, Meng Zheng, Benjamin Planche, Terrence Chen, Junsong Yuan, David Doermann, Ziyan Wu AAAI Conference on Artificial Intelligence (AAAI), 2023 (oral)
	Federated Learning with Privacy-Preserving Ensemble Attention Distillation Xuan Gong, Liangchen Song, Rishi Vedula, Abhishek Sharma, Meng Zheng, Benjamin Planche, Arun Innanje, Terrence Chen, Junsong Yuan, David Doermann, Ziyan Wu IEEE Transactions on Medical Imaging (TMI), 2022
	Self-supervised Human Mesh Recovery with Cross-Representation Alignment Xuan Gong, Meng Zheng, Benjamin Planche, Srikrishna Karanam, Terrence Chen, David Doermann, Ziyan Wu European Conference on Computer Vision (ECCV), 2022
	PREF: Predictability Regularized Neural Motion Fields Liangchen Song, Xuan Gong, Benjamin Planche, Meng Zheng, David Doermann, Junsong Yuan, Terrence Chen, Ziyan Wu European Conference on Computer Vision (ECCV), 2022 (oral) [project page]
	Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation Xuan Gong, Abhishek Sharma, Srikrishna Karanam, Ziyan Wu, Terrence Chen, David Doermann, Arun Innanje AAAI Conference on Artificial Intelligence (AAAI), 2022 [code]
	Uncertainty Learning towards Unsupervised Deformable Medical Image Registration Xuan Gong, Luckyson Khaidem, Wentao Zhu, Baochang Zhang, David Doermann IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022
	Ensemble Attention Distillation for Privacy-Preserving Federated Learning Xuan Gong, Abhishek Sharma, Srikrishna Karanam, Ziyan Wu, Terrence Chen, David Doermann, Arun Innanje IEEE/CVF International Conference on Computer Vision (ICCV), 2021
	Style Consistent Image Generation for Nuclei Instance Segmentation Xuan Gong, Shuyan Chen, Baochang Zhang, David Doermann IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021
	Deformable Gabor Feature Networks for Biomedical Image Classification Xuan Gong, Xin Xia, Wentao Zhu, Baochang Zhang, David Doermann, Li`an Zhuo IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021

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