Academic Portfolio

Khor Hee Guan

Xinghua Scholar; Ph.D. in Biomedical Engineering from Tsinghua University. Recipient of the 2022 Tsinghua University Outstanding Master’s Thesis Award (Academic Degree) and the 2022 Tsinghua University Outstanding Master’s Graduate Award. Honored as Outstanding International Graduate and awarded Outstanding Undergraduate Thesis/Graduation Design at Chongqing University in 2019. Currently working as a Medical AI Engineer at Ant Group, focusing on medical image analysis as well as AI applications in diagnosis and treatment.

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19+ academic papers and conference contributions
30+ major scholarships, academic distinctions, innovation awards, and competition honors

Profile

Biography

Khor Hee Guan received his B.Eng. degree in Biomedical Engineering from Chongqing University in June 2019 and his M.Eng. degree in Biomedical Engineering from Tsinghua University in June 2022. He subsequently completed his Ph.D. in Biomedical Engineering at Tsinghua University. His academic and professional work has centered on clinically oriented medical AI, with a focus on medical image analysis and AI applications for diagnosis and treatment. He is currently a Medical AI Engineer at Ant Group.

Sep 2015 - Jun 2019 Bachelor of Engineering in Biomedical Engineering, Chongqing University
Sep 2019 - Jun 2022 Master of Engineering in Biomedical Engineering, Tsinghua University
Sep 2022 - Jun 2026 Ph.D. in Biomedical Engineering, Tsinghua University
Current Medical AI Engineer at Ant Group.

Research

Core Areas

Medical Image Intelligence

Research centered on medical image segmentation, deformable registration, multimodal fusion, and ultrasound image enhancement, with an emphasis on robust learning-based methods for clinically meaningful imaging analysis.

Multimodal AI for diagnosis and treatment

Development of clinically oriented AI frameworks integrating gene mutation data, CT, MRI, electronic health records, and other multimodal information to support diagnosis, treatment optimization, prognostic assessment, and decision-making in translational clinical practice.

Interventional and Surgical Computing

Work spanning intelligent minimally invasive diagnosis and therapy, robotic perception, and image-guided intervention systems that connect computational modeling with procedural applications.

Research Translation and Engineering

Current efforts bridge academic medical AI research with practical engineering deployment, linking university-based innovation with product-oriented medical AI development at Ant Group.

Engagement

Academic Activities and Engagement

Tsinghua student entrepreneurship exchange
Exchange Tsinghua University Student Entrepreneurship Exchange Meeting Guidance from Minister Yang Wangping of the Zhuzhou Municipal Organization Department and Remarks by the Student Representative
AI application innovation conference presentation
Presentation 2025 Xibeiwang Conference on the Artificial Intelligence Application Ecosystem Building a Collaborative Future for AI Innovation and Real-World Deployment
Innovation and entrepreneurship training camp presentation
Innovation The 1st Graduate Academic Forum of the School of Biomedical Engineering, Tsinghua University Oral Presentation
Academic presentation at Tsinghua University
Forum 2025 Second “Qingxing Cup” Tsinghua University Large Model Application Innovation Challenge Winner of the Excellence Award, Seed Track
Roadshow presentation on smart healthcare technology
Roadshow 66th Tsinghua “Innovation Plus” Innovation and Entrepreneurship Competition 2025 Third Prize Award
Professional exchange with Malaysian medical partners
Collaboration Exploring AI Applications in Integrated Cancer Diagnosis and Treatment with Leading Malaysian Hospital Representatives Dialogue with Representatives from Top Public and Private Hospitals in Malaysia
Clinical and industry exchange group photograph
Network Qingjin Qihang Innovation and Entrepreneurship Training Camp Preliminary Review
School of Medicine group photograph
Poster Industry Landscape Analysis Across Frontier Sectors Including Artificial Intelligence and Pharmaceuticals Assessing Technological Innovation, Enterprise Competitiveness, and Scientific Research Progress
Meituan Group exchange visit
Visit Xinghua Scholar Visit to Meituan Headquarters Exploring Innovation, Industry Practices, and Corporate Development
Innovation and entrepreneurship dialogue session
Dialogue Xinghua Scholars Roundtable Discussion Academic Exchange and Dialogue on Innovation and Collaboration
Roadshow on clinical application scenarios
Demo Shuimu Tsinghua Alumni Seed Fund Roadshow Project Presentation and Exchange with the Alumni Innovation and Investment Community
School of Medicine class and laboratory group photograph
Group Teaching Assistant for the Course Digital Medicine and Principles of Minimally Invasive Diagnosis and Treatment Supporting Instruction, Academic Engagement, and Student Learning in Digital Medicine and Minimally Invasive Therapy
Award presentation photograph
Award Best Paper Award and Best Oral Presentation Award The 2nd International Conference on Intelligent Healthcare and Wearable Intelligent Devices
Seminar presentation photograph
Seminar Oral presentation at the First Graduate Academic Forum of the School of Biomedical Engineering Medical Imaging Session, Tsinghua Doctoral Academic Forum, Session 769
Best oral presentation certificate
Certificate Best Oral Presentation Award The 2nd International Conference on Intelligent Healthcare and Wearable Intelligent Devices
Best paper award certificate
Certificate Best Paper Award The 2nd International Conference on Intelligent Healthcare and Wearable Intelligent Devices
Qingxing Cup innovation challenge certificate
Certificate The 2025 Second “Qingxing Cup” Tsinghua University Large Model Application Innovation Challenge Recipient of the Excellence Award in the Seed Track
Tsinghua Med-Engineering innovation competition certificate
Certificate 2023 Second Tsinghua University Medical-Engineering Innovation Competition Second Prize in the Translational Track
Outstanding Master's Graduate certificate
Certificate Outstanding Master's Graduate Tsinghua University, 2022
Outstanding International Graduate certificate
Certificate Outstanding International Graduate Chongqing University, 2019
Hybrid teaching environment and application test pass certificate
Certificate Teaching Assistant Qualification and Integrated Teaching Environment Certification Recognition of Teaching Readiness and Competence in Blended Learning Applications
Teaching assistant qualification certificate
Certificate Teaching Assistant Qualification and Integrated Teaching Environment Certification Recognition of Teaching Readiness and Competence in Blended Learning Applications

Archive

Certificates and Honors Archive

Scholarship

Publications and Scholarly Contributions

Notation: # indicates co-first authorship and * indicates corresponding author.

First-Author and Co-First-Author Contributions
  1. Hee Guan Khor, Guochen Ning, Yihua Sun, Xu Lu, Xinran Zhang, Hongen Liao*. Anatomically constrained and attention-guided deep feature fusion for joint segmentation and deformable medical image registration.Medical Image Analysis, 2023, 88: 102811.
    DOI: 10.1016/j.media.2023.102811
    SCIImpact Factor 11.8Top-tier CAS Q1 Journal
  2. Hee Guan Khor#, Xin Yang#, Yihua Sun, Sijuan Huang, Yingni Wang, Jie Wang, Shaobin Wang, Lu Bai, Longfei Ma, Hongen Liao*. RT-SAM: Visual-Prompt Fusion and Uncertainty Enhancement for Nasopharyngeal Carcinoma Radiotherapy Target Delineation.IEEE Journal of Biomedical and Health Informatics, 2026, accepted.
    DOI: 10.1109/JBHI.2026.3669979
    SCIImpact Factor 6.8Top-tier CAS Q1 Journal
  3. Hee Guan Khor#, Guochen Ning#, Xinran Zhang, Hongen Liao*. Ultrasound speckle reduction using wavelet-based generative adversarial network.IEEE Journal of Biomedical and Health Informatics, 2022, 26(7): 3080-3091.
    DOI: 10.1109/JBHI.2022.3144628
    SCIImpact Factor 6.8Top-tier CAS Q1 Journal
  4. Hee Guan Khor#, Xin Yang#, Yihua Sun, Jie Wang, Sijuan Huang, Shaobin Wang, Bai Lu, Longfei Ma, Hongen Liao*. Unified prompt-visual interactive segmentation of clinical target volume in CT for nasopharyngeal carcinoma with prior anatomical information.In: MICCAI 2024, Lecture Notes in Computer Science 15009, 2024: 659-669.
    DOI: 10.1007/978-3-031-72114-4_63
    EIEarly Accept 11%CCF A Conference
  5. Hee Guan Khor, Fang Chen, Hongen Liao*. CFM-SAM2: CNN-Prompt-Guided Segment Anything 2 with Cross-Modal Fusion and Contextual Feature Assimilation for Gross Target Volume Segmentation in Nasopharyngeal Carcinoma.In: Proceedings of the 2025 2nd International Conference on Smart Healthcare and Wearable Intelligent Devices, 2025: 149-154.
    DOI: 10.1145/3788112.3788135
    Oral PresentationBest PaperBest Oral Presentation
  6. Hee Guan Khor, Guochen Ning, Ting Wang, Yingang Wen, Xinran Zhang, Hongen Liao*. Anatomically constrained deformable 3D reconstruction of intraoperative uterus from preoperative MRI data on uterine fibroid treatment.Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2022, 10(4): 434-440.
    DOI: 10.1080/21681163.2021.1997643
    EI
  7. Hee Guan Khor, Jie Wang, Hongen Liao*. G2CNet: Clinical target volume segmentation based on gross tumor volume via multi-task learning for nasopharyngeal carcinoma radiotherapy.In: The 20th Asian Conference on Computer Aided Surgery (ACCAS 2024).
    DOI: Not available.
    Oral PresentationCCF B Conference
  8. Hee Guan Khor, Jie Wang, Hongen Liao*. TargetSegNet: Gross Tumor Volume-Driven Clinical Target Volume Segmentation for Nasopharyngeal Carcinoma Radiotherapy.Tsinghua University Graduate Academic Forum of the School of Biomedical Engineering, 2024.
    DOI: Not available.
    Oral Presentation
  9. Hee Guan Khor, Xinran Zhang, Hongen Liao*. Multi-task learning for deformable registration of medical images with anatomical constraint.In: The 18th Asian Conference on Computer Aided Surgery (ACCAS 2022).
    DOI: Not available.
    Oral PresentationCCF B Conference
  10. Hee Guan Khor, Guochen Ning, Xinran Zhang, Hongen Liao*. Free-breathing organ motion models of 3D abdominal MRI with conditional generative adversarial networks.In: The 17th Asian Conference on Computer Aided Surgery (ACCAS 2021).
    DOI: Not available.
    PosterCCF B Conference
  11. Hee Guan Khor, Guochen Ning, Xinran Zhang, Hongen Liao*. WGAN-SNR: Wavelet-based generative adversarial network for speckle noise reduction in ultrasound images.In: The 16th Asian Conference on Computer Aided Surgery (ACCAS 2020).
    DOI: Not available.
    PosterCCF B Conference
Collaborative Contributions
  1. Jie Wang#, Hee Guan Khor#, Yingni Wang#, Xueling Wei, Yihua Sun, Yiguang Yang, Xu Lu, Longfei Ma, Hongen Liao*. Autonomous local navigation of spring-based continuum choledochoscopes for cholecystolithotomy.IEEE Transactions on Automation Science and Engineering, 2025, 22: 22938-22949.
    DOI: 10.1109/TASE.2025.3615597
    SCIImpact Factor 6.4High-level CAS Q2 Journal
  2. Xu Lu, Hee Guan Khor, Yihua Sun, Xinran Zhang, Hongen Liao*. ANR-Net: Attention-guided non-local residual network for thyroid segmentation in ultrasound image.In: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI 2023), 2023: 1-5.
    DOI: 10.1109/ISBI53787.2023.10230548
    EICCF B Conference
  3. Yihua Sun, Hee Guan Khor, Sijuan Huang, Qi Chen, Shaobin Wang, Xin Yang, Hongen Liao*. Second-course esophageal gross tumor volume segmentation in CT with prior anatomical and radiotherapy information.In: MICCAI 2023, LNCS 14224, 2023: 511-520.
    DOI: 10.1007/978-3-031-43990-2_48
    EICCF A Conference
  4. Yihua Sun, Hee Guan Khor, Yuanzheng Wang, Zhuhao Wang, Hongliang Zhao, Yu Zhang, Longfei Ma, Zhuozhao Zheng, Hongen Liao*. Continually tuning a large language model for multi-domain radiology report generation.In: MICCAI 2024, LNCS 15005, 2024: 177-187.
    DOI: 10.1007/978-3-031-72086-4_17
    EICCF A Conference
  5. Jie Wang, Yihua Sun, Hee Guan Khor, Xu Lu, Longfei Ma, Hongen Liao*. Decoupled spring-based two-segment continuum manipulator for minimally invasive surgery.In: The 20th Asian Conference on Computer Aided Surgery (ACCAS 2024).
    DOI: Not available.
    Oral PresentationCCF B Conference
  6. Jie Wang, Jiaqi Liu, Hee Guan Khor, Tianqi Huang, Longfei Ma, Hongen Liao*. Cone-based automatic instrument interchange interface for autonomous robotic surgical system.In: 2024 International Conference on Biomimetic Intelligence and Robotics & Medical Robotics Forum (ICBIR 2024).
    DOI: 10.1016/j.procs.2024.11.007
    Poster
  7. Xu Lu, Zengzhen Cui, Yihua Sun, Hee Guan Khor, Ao Sun, Longfei Ma, Fang Chen, Shan Gao, Yun Tian, Fang Zhou, et al. Better rough than scarce: Proximal femur fracture segmentation with rough annotations.IEEE Transactions on Medical Imaging, 2024, 43(9): 3240-3252.
    DOI: 10.1109/TMI.2024.3392854
    SCIImpact Factor 9.8Top-tier CAS Q1 Journal
  8. Jie Wang, Xu Lu, Yihua Sun, Hee Guan Khor, Xueling Wei, Guochen Ning, Longfei Ma, Hongen Liao*. SPEVA: Stiffness prediction from environmental visual variation for autonomous robot-assisted soft tissue manipulation.In: 2024 IEEE International Symposium on Biomedical Imaging (ISBI 2024), 2024: 1-5.
    DOI: 10.1109/ISBI56570.2024.10635411
    EICCF B Conference

Recognition

Honors and Recognition

Scholarships and Fellowships

  • 2022 Tsinghua University Xinghua Scholar Scholarship (one of only 8 recipients university-wide)2022 年清华大学兴华学者奖学金（全校仅 8 位）
  • 2025 School-Level Scholarship, School of Biomedical Engineering, Tsinghua University2025 年清华大学生物医学工程学院院设奖学金
  • 2024 First-Class Comprehensive Excellence Scholarship for Graduate Students, School of Biomedical Engineering2024 年生物医学工程学院研究生综合优秀一等奖学金
  • 2021 Second-Class Comprehensive Excellence Scholarship for Graduate Students, School of Medicine / School of Pharmacy / School of Public Health2021 年医学院-药学院-卫健学院研究生综合优秀二等奖学金
  • 2021 Tsinghua University International Graduate Tuition Scholarship2021 年清华大学国际研究生（在校生）学费奖学金
  • 2020 Tsinghua University International Graduate Tuition Scholarship2020 年清华大学国际研究生（在校生）学费奖学金
  • 2023 Academic Rising Star Award, Laboratory of Minimally Invasive Diagnosis and Therapy and 3D Imaging2023 年清华大学微创诊疗与三维影像实验室学术新秀奖
  • 2022 Academic Rising Star Award, Laboratory of Minimally Invasive Diagnosis and Therapy and 3D Imaging2022 年清华大学微创诊疗与三维影像实验室学术新秀奖
  • 2021 Academic Achievement Award, Laboratory of Minimally Invasive Diagnosis and Therapy and 3D Imaging2021 年清华大学微创诊疗与三维影像实验室学术成果奖
  • 2020 Academic Rising Star Award, Laboratory of Minimally Invasive Diagnosis and Therapy and 3D Imaging2020 年清华大学微创诊疗与三维影像实验室学术新秀奖
  • 2015 President Scholarship, Chongqing University2015 年重庆大学校长奖学金

Academic Recognition

  • 2022 Recognized as a Xinghua Scholar2022 年获评兴华学者
  • 2022 Tsinghua University Outstanding Master's Thesis (Academic Degree)2022 年清华大学校级优秀硕士学位论文（学术学位）
  • 2022 Tsinghua University Outstanding Master's Graduate2022 年清华大学优秀硕士毕业生
  • 2019 Outstanding International Graduate, Chongqing University2019 年重庆大学来华留学优秀毕业生
  • 2019 Outstanding Undergraduate Thesis / Graduation Design, Chongqing University2019 年重庆大学优秀本科毕业设计（论文）
  • 2025 Double winner of Best Paper Award and Best Oral Presentation Award at SHWID 20252025 年第二届智能医疗与可穿戴智能设备国际学术会议独获大会“最佳论文奖”与“最佳口头报告奖”双项殊荣

Innovation and Entrepreneurship Recognition

  • 2025 First Prize, Beijing Division, China International College Students' Innovation and Entrepreneurship Competition2025 年中国国际大学生创新创业大赛北京赛区一等奖
  • 2025 Tsinghua University Top 10 Student Innovation and Entrepreneurship Team2025 年清华大学十佳学生创新创业团队
  • 2024 First Prize, Beijing Division, China International College Students' Innovation and Entrepreneurship Competition2024 年中国国际大学生创新创业大赛北京赛区一等奖
  • 2024 Tsinghua University Top 10 Student Innovation and Entrepreneurship Team2024 年清华大学十佳学生创新创业团队
  • 2023 First Prize, Beijing Division, 9th China International "Internet+" College Students Innovation and Entrepreneurship Competition2023 年第九届中国国际“互联网+”大学生创新创业大赛北京赛区一等奖
  • 2023 Tsinghua University Top 10 Student Innovation and Entrepreneurship Team2023 年清华大学十佳学生创新创业团队
  • 2025 Merit Award, Seed Track, 2nd "Qingxing Cup" Tsinghua Large Model Application Innovation Challenge2025 年第二届“清醒杯”清华大学大模型应用创新挑战赛种子组优胜奖
  • 2025 Third Prize, 66th Tsinghua "Chuang+" Innovation and Entrepreneurship Competition2025 年清华“创+”第 66 期创新创业大赛三等奖
  • 2024 Silver Award, "Youth Innovation Beijing" Capital University Entrepreneurship Plan Competition (Challenge Cup)2024 年“青创北京”挑战杯首都大学生创业计划竞赛银奖
  • 2023 Second Prize, Translational Track, 2nd Tsinghua Medical-Engineering Innovation Competition2023 年第二届“清华大学医工结合创新大赛”转化赛道中二等奖
  • 2023 Merit Award, Seed Group Final, 25th "Kunshan Cup" Tsinghua Entrepreneurship Competition2023 年第二十五届“昆山杯”清华大学创业大赛决赛种子组优胜奖
  • 2023 Grand Prize, TIE2 International Innovation Acceleration Camp Project2023 年 TIE2 国际创新加速营项目特等奖
  • 2022 Gold Award, Tsinghua X2 Digital Healthcare Marathon2022 年清华 X2 数字医疗马拉松中金奖

Athletic Recognition

  • 2025 Fourth Place, Men's 105 kg Division, 3rd Tsinghua University "Boundless Strength" Powerlifting Competition2025 年第三届清华大学“大无止境”力量举比赛男子 105kg 组第四名