Xin / James Guo

Principal Research Scientist at SAIS

AI for Life Sciences · Multimodal Foundation Models Agentic AI for Scientific Discovery

Recent News

2026.05.29 - 🎉 Two papers accepted: FLAG, on foundation-model-aligned latent diffusion for spatial gene expression prediction, at ICML 2026; and "Sprint or Delve: A Distribution-Aware Approach to Efficient Reasoning" at IJCAI 2026. Congrats to all co-authors!

2026.03.29 - 📚 Two recent works have been published: one in Nature Computational Science on generalizable X-ray tomography restoration, and another in AAAI 2026 focusing on structure-based RNA design using latent diffusion models.

2025.12.20 - 🏅 Honored to be selected for the Shanghai Oriental Talent Program (Young Talent Project). Grateful for the recognition and support from the Shanghai government.

2025.08.09 - 🧬 Our recent work on single-cell long-range cis-regulation prediction is accepted by Advanced Science.

2025.07.06 - 😁 Three papers are accepted by ICML 2025 and ICCV 2025; details are available here, here, and here.

2025.02.03 - 🌏 Several previous projects are now easier to find: SkySense is open-sourced here, POA code is available here, and PECEL inquiries can go to Dr. Lixiang Ru.

About Me

Xin Guo

I am a Principal Research Scientist in AI at the Shanghai Academy of Artificial Intelligence for Science (SAIS). My work focuses on AI for Life Science, especially multiomics and multimodal foundation models and their clinical applications. This role builds on my previous experience in computer vision, multimodal perception, and vision foundation models.

Before joining SAIS, I spent 8+ years at Ant & Alibaba Group conducting applied AI research. My work there contributed to award-winning systems such as 定损宝 and 亿亩田. I was also an executive member of the Wuhan University - Ant Group United Laboratory, where I collaborated with researchers and engineers on SkySense, a foundation model for remote sensing imagery.

I hold a Master's degree in Communication Systems from EPFL and a Bachelor's degree with honors from Zhejiang University. I have also worked in Europe with Sony and Tractable.

My research interests span multiomics foundation models, AI for biology, computer vision, and multimodal perception. I have published 15+ papers, served as a reviewer for major AI conferences and journals, and hold 10+ international patents issued across Europe, the United States, Japan, Korea, Singapore, and other jurisdictions.

15+ papers
10+ international patents
10+ years in AI

Research Focus

Multiomics foundation models, AI for biology, computer vision, multimodal perception, and clinically relevant AI systems.

Publications

* Equal contribution · ✉ Corresponding Author

AI4Biomedicine at SAIS

  1. Efficient Network Automatic Relevance Determination
    Hongwei Zhang, Ziqi Ye, Xinyuan Wang, Xin Guo, Zenglin Xu, Yuan Cheng, Zixin Hu, Yuan Qi
    ICML 2025
  2. Structure-aware Semantic Discrepancy and Consistency for 3D Medical Image Self-supervised Learning
    Tan Pan, Zhaorui Tan, Kaiyu Guo, Dongli Xu, Weidi Xu, Chen Jiang, Xin Guo, Yuan Qi, Yuan Cheng
    ICCV 2025
  3. Towards a Universal 3D Medical Multi-modality Generalization via Learning Personalized Invariant Representation
    Zhaorui Tan, Xi Yang, Tan Pan, Tianyi Liu, Chen Jiang, Xin Guo, Qiufeng Wang, Anh Nguyen, Yuan Qi, Kaizhu Huang, Yuan Cheng
    ICCV 2025
  4. SCRIPT: Predicting Single-Cell Long-Range Cis-Regulation Based on Pretrained Graph Attention Networks
    Yu Zhang, Baole Wen, Yifeng Jiao, Yuchen Liu, Xin Guo, Yushuai Wu, Jiyang Li, Limei Han, Yinghui Xu, Xin Gao, Yuan Qi, Yuan Cheng, Ying He, Weidong Tian
    Advanced Science, 2025
  5. ChromFound: Towards A Universal Foundation Model for Single-Cell Chromatin Accessibility Data
    Yifeng Jiao, Yuchen Liu, Yu Zhang, Xin Guo✉, Yushuai Wu, Chen Jiang, Jiyang Li, Hongwei Zhang, Limei Han, Xin Gao, Yuan Qi, Yuan Cheng
    NeurIPS 2025
  6. Minimal Semantic Sufficiency Meets Unsupervised Domain Generalization
    Tan Pan, Kaiyu Guo, Dongli Xu, Zhaorui Tan, Chen Jiang, Deshu Chen, Xin Guo, Brian C. Lovell, Limei Han, Yuan Cheng, Mahsa Baktashmotlagh
    NeurIPS 2025
  7. Structure-based RNA Design by Step-wise Optimization of Latent Diffusion Model
    Qi Si, Xuyang Liu, Penglei Wang, Xin Guo✉, Yuan Qi, Yuan Cheng
    AAAI 2026
  8. HorusEye: a self-supervised foundation model for generalizable X-ray tomography restoration
    Yuetan Chu, Longxi Zhou, Gongning Luo, Kai Kang, Suyu Dong, Zhongyi Han, Lianming Wu, Xianglin Meng, Changchun Yang, Xin Guo, Yuan Cheng, Yuan Qi, Xin Liu, Dexuan Xie, Yue Li, Ricardo Henao, Xigang Xiao, Shaodong Cao, Gianluca Setti, Zhaowen Qiu, Xin Gao
    Nature Computational Science, 2026
  9. FLAG: Foundation model representation with Latent diffusion Alignment via Graph for spatial gene expression prediction
    Qi Si, Penglei Wang, Yushuai Wu, Yifeng Jiao, Xuyang Liu, Xin Guo✉, Yuan Qi, Yuan Cheng
    ICML 2026
  10. Sprint or Delve: A Distribution-Aware Approach to Efficient Reasoning
    Zehui Ling, Deshu Chen, Hongwei Zhang, Yifeng Jiao, Xin Guo, Zenglin Xu, Yuan Cheng
    IJCAI 2026

亿亩田 with Ant & MYBank & Wuhan University

  1. Simultaneously Short- and Long-Term Temporal Modeling for Semi-Supervised Video Semantic Segmentation
    Jiangwei Lao, Weixiang Hong, Xin Guo, Yingying Zhang, Jian Wang, Jingdong Chen, Wei Chu
    CVPR 2023
  2. SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery
    Xin Guo*, Jiangwei Lao*, Bo Dang*, Yingying Zhang, Lei Yu, Lixiang Ru, Liheng Zhong, Ziyuan Huang, Kang Wu, Dingxiang Hu, Huimei He, Jian Wang, Jingdong Chen, Ming Yang, Yongjun Zhang, Yansheng Li
    CVPR 2024
  3. POA: Pre-training Once for Models of All Sizes
    Yingying Zhang, Xin Guo, Jiangwei Lao, Lei Yu, Lixiang Ru, Jian Wang, Guo Ye, Huimei He, Jingdong Chen, Ming Yang
    ECCV 2024
  4. Parameter-Efficient Complementary Expert Learning for Long-Tailed Visual Recognition
    Lixiang Ru, Xin Guo, Lei Yu, Yingying Zhang, Jiangwei Lao, Jian Wang, Jingdong Chen, Yansheng Li, Ming Yang
    ACM Multimedia 2024
  5. Unleashing the potential of remote sensing foundation models via bridging data and computility islands
    Yansheng Li, Jieyi Tan, Bo Dang, Mang Ye, Sergey A Bartalev, Shinkarenko Stanislav, Linlin Wang, Yingying Zhang, Lixiang Ru, Xin Guo, Liangqi Yuan, Lei Yu, Jingdong Chen, Ming Yang, José Marcato Junior, Yongjun Zhang
    The Innovation, 2025
  6. Learning to reason over multi-granularity knowledge graph for zero-shot urban land-use mapping
    Yansheng Li, Yu Wang, Lei Yu, Bo Dang, Gang Xu, Zhenyu Zhong, Yuning Wu, Xin Guo, Kang Wu, Zheng Li, Linlin Wang, Jian Wang, Jingdong Chen, Ming Yang, Yongjun Zhang
    Remote Sensing of Environment, 2025

定损宝 at Ant Group

  1. Automatic Car Damage Assessment System: Reading and Understanding Videos as Professional Insurance Inspectors
    Wei Zhang, Yuan Cheng, Xin Guo, Qingpei Guo, Jian Wang, Qing Wang, Chen Jiang, Meng Wang, Furong Xu, Wei Chu
    AAAI 2020
  2. Towards Efficient Pre-Trained Language Model via Feature Correlation Distillation
    Kun Huang, Xin Guo, Meng Wang
    NeurIPS 2023

Blind source separation at Sony AI

  1. NMF-based blind source separation using a linear predictive coding error clustering criterion
    Xin Guo, Stefan Uhlich, Yuki Mitsufuji
    ICASSP 2015

Latest Blog Post

05 Apr 2026 . tech . Foundation Models Meet Biology - A New Frontier Comments

The foundation model paradigm — pre-train at massive scale, then adapt to downstream tasks — has reshaped NLP and computer vision over the past few years. But the most exciting frontier for this paradigm might not be language or images at all. It’s biology. The sheer complexity of biological systems, the explosion of multi-omics data, and the urgent need for better drug design make...

Archive

Timeline

  • Apr. 2024 - Present

    Principal Research Scientist @ SAIS

  • Apr. 2016 - Apr. 2024

    Senior R&D Engineer @ Ant & Alibaba Group

  • Sep. 2012 - Nov. 2015

    Master Degree @ EPFL; Research Intern @ Sony; Data Scientist @ Tractable

  • Sep. 2008 - Jun. 2012

    Bachelor Degree @ Zhejiang University

Activities

Selected Patents

  1. EP3201917B1: Xin Guo, Stefan Uhlich, Yuhki Mitsufuji, Method, apparatus and system for blind source separation
  2. US10943126B2: Xin Guo, Yuan Cheng, Chen Jiang, Method and apparatus for processing video stream
  3. US11216690B2: Xin Guo, Yuan Cheng, Jun Huang, System and method for performing image processing based on a damage assessment image judgement model
  4. SG11202011405YA: Xin Guo, Yuan Cheng, Chen Jiang, Zhihong Lu, Image processing method and apparatus
  5. US11049334B2: Haitao Zhang, Juan Xu, Jinlong Hou, Jian Wang, Xin Guo, Danni Cheng, Yue Hu, Bokun Wu, Yanqing Chen, Picture-based vehicle loss assessment
  6. US010846556B2: Jinlong Hou, Haitao Zhang, Xin Guo, Juan Xu, Jian Wang, Yuan Cheng, Danni Cheng, Vehicle insurance image processing method, apparatus, server, and system
  7. US11151384B2: Haitao Zhang, Jinlong Hou, Xin Guo, Yuan Cheng, Jian Wang, Juan Xu, Fan Zhou, Kan Zhang, Method and apparatus for obtaining vehicle loss assessment image, server and terminal device
  8. US10817956B2: Haitao Zhang, Juan Xu, Jinlong Hou, Jian Wang, Xin Guo, Danni Cheng, Yue Hu, Bokun Wu, Yanqing Chen, Image-based vehicle damage determining method and apparatus, and electronic device
  9. KR102418446B1: Haitao Zhang, Juan Xu, Jinlong Hou, Jian Wang, Xin Guo, Danni Cheng, Yue Hu, Bokun Wu, Yanqing Chen, Picture-based vehicle damage assessment method and apparatus, and electronic device
  10. JP6905081B2: Haitao Zhang, Jinlong Hou, Xin Guo, Yuan Cheng, Jian Wang, Juan Xu, Fan Zhou, Kan Zhang, Methods and Devices for Obtaining Vehicle Loss Assessment Images and Devices, Servers, and Terminal Devices

Academic Services

  1. Teaching Assistant: Pattern Classification and Machine Learning (2013)
    Swiss Federal Institute of Technology in Lausanne (EPFL), Prof. Matthias Seeger
  2. Reviewer Service: CVPR, ICCV, ICML, ICLR, NeurIPS, AAAI, KDD, ACM Multimedia, ICME, ICPR, IJCV, TGRS

Interviews

  1. Dingsunbao: An Automatic Car Damage Assessment System
    Radio Television Suisse in 2018, from 2:21:09 to 2:22:12
  2. Dingsunbao: AI-based Car Damage Assessment System
    Alipay-NUS Enterprise Social Innovation Challenge(ANSIC) in 2018, Malaysia

Competitions

  1. KDD CUP 2022 - Amazon ESCI Challenge
    Ranked 16th@Task1 and 13th@Task2, among 1699 participants
  2. ATEC 2022 - Remote Sensing Track
    Co-organizer of the competition and the corresponding Bilibili show
  3. 2024 ISPRS TC I Contest on Intelligent Interpretation for Multi-modal Remote Sensing Application
    Ranked 6th@Task2 and 5th@Task3, among 302 participants
  4. World AI4S Prize 2024 and 2025
    Co-organizer of the competition

Honors & Awards

2008: TOSHIBA Scholarship (Donated by Toshiba, awards 25 undergraduates each year in China)

2008-2012: Scholarship for Outstanding Students by Zhejiang University

2010: Scholarship for National Talents Program

2012: Outstanding Graduates by Zhejiang University (Graduated with honors)

2015: IEEE Signal Processing Society Travel Grant

2020: Alibaba Chengdian Annual Philanthropy Award

2023: Ant Group T-Star Award (Top 10 Innovations among Ant Group's all tech projects from 2022)

2024: Guanghua Speaker awarded by Fudan University Alumni Association

2025: Megarobo Engineering Grants and Awards

2025: Top Reviewer Award of NeurIPS 2025 (Top 8% among all reviewers)

2025: Shanghai Oriental Talent Program - Young Talent Project (上海市东方英才计划青年项目)

Please contact me for CV.

Contact

I welcome research collaborations in AI for life sciences, multimodal foundation models, and agentic AI for scientific discovery.