中文简介 唐健凯,清华大学学生辅导员,北京市学生研究员。唐健凯围绕普适健康计算,研究智能手机和可穿戴设备的端智能健康计算,解决跨环境、跨人群的泛化能力差和运动噪声大等难题。通过建模人体可见光下心血管颜色时序变化,提出基于RGB摄像头的视频生理感知计算方法,优化端侧算法高效推理架构,创新低功耗、高性能、强泛化的端智能感知计算技术,服务健康医疗等高影响力应用领域。唐健凯作为负责人曾主持国家级大创项目一项,北京市自然科学基金项目一项并获评优秀(Top 5),参与国家级及省部级项目近10项。曾在SCI期刊或CCF-A会议等有影响力期刊/会议发表论文10+篇,包括NeurIPS、ACL、IMWUT、CHI、Neural Networks等,其中第一作者(含共一)5篇。唐健凯提出的基于视频的远程心率监测方法性能接近医疗级设备,荣获首届全国泛在智能感知技术创新应用大赛一等奖和第九届全国大学生生物医学工程创新设计竞赛一等奖。

🔥 News

2025.2: Awarded the Excellent Beijing Natural Science Foundation Program by Beijing Natural Science Foundation as Principle Investigator.

2025.1: Our paper Spiking-PhysFormer: Camera-BasedRemote Photoplethysmography withParallel Spike-driven Transformer has been accepted by Neural Networks(Q1, IF:6.0).

2024.11: Awarded the Excellent Graduation Thesis by Beijing Municipal Education Commission.

2024.11: Awarded the First Prize in Ubiquitous Intelligent Sensing Technology Innovation Application Competition(Top 5).

2024.10: 🎉🎉 Our paper Summit Vitals: Multi-Camera and Multi-Signal Biosensing at High Altitudes has been accepted by UIC’24 as REGULAR RESEARCH PAPER(Accept Rate: 20.95%).

2024.9: 🎉🎉 Attended the The Inclusion·Conference on the Bund and publish our white paper and ANT PPG dataset.

2024.7: 🎉🎉 Awarded the First Prize in the National Biomedical Engineering Innovation Competition(Top 5%).

2024.6: 🎉🎉 Give an invited talk at the Commencement Ceremony of Xinya College and awarded Outstanding Graduate and Excellent Graduation Thesis by Tsinghua University.

2024.5: 🎉🎉 Our paper The EarSAVAS Dataset: Enabling Subject-Aware Vocal Activity Sensing on Earables has been accepted by The Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT).

2024.5: 🎉🎉 Our paper LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding stars has been accepted by ACL 2024.

2024.5: 🎉🎉 Attending CHI Workshop 2024 PhysioCHI and present our work Camera-Based Remote Physiology Sensing for Hundreds of Subjects Across Skin Tones.

2024.4: 🎉🎉 Admitted into the Groundbreaking Innovation Talent Development Program(颠覆性创新人才培养项目) at Tsinghua University.

2024.2: 🎉🎉 Our paper A Comprehensive Dataset and Automated Pipeline for Nailfold Capillary Analysis has been accepted by ISBI 2024.

📝 Publications

JOURNAL PUBLICATIONS

IMWUT
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The EarSAVAS Dataset: Enabling Subject-Aware Vocal Activity Sensing on Earables

Xiyuxing Zhang, Yuntao Wang, Yuxuan Han, Chen Liang, Ishan Chatterjee, Jiankai Tang, Xin Yi, Shwetak Patel, and Yuanchun Shi

IMWUT

NN
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Spiking-PhysFormer: Camera-Based Remote Photoplethysmography with Parallel Spike-driven Transformer

Mingxuan Liu*, Jiankai Tang* (*Co-first Author), Haoxiang Li, Jiahao Qi, Siwei Li, Kegang Wang, Yuntao Wang, Hong Chen

Neural Networks

JCAD
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A Method of Privacy-Friendly Gait Data Acquisition and Emotion Recognition

Hong Xiao, Jiankai Tang, Christine Qiu, Xinyi Fu

JCAD

CONFERENCE PUBLICATIONS

UIC 2024
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Summit Vitals: Multi-Camera and Multi-Signal Biosensing at High Altitudes

Ke Liu*, Jiankai Tang* (*Co-first Author), Zhang Jiang, Yuntao Wang, Xiaojing Liu, Dong Li, Yuanchun Shi

UIC’24.

UIC 2024
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Camera-Based HRV Prediction for Remote Learning Environments

Kegang Wang, Yantao Wei, Jiankai Tang, Yuntao Wang, Mingwen Tong, Jie Gao, Yujian Ma, Zhongjin Zhao

UIC’24.

CHI 2024
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Camera-Based Remote Physiology Sensing for Hundreds of Subjects Across Skin Tones

Jiankai Tang*, Xinyi Li*(*Co-first Author), Jiacheng Liu, Xiyuxing Zhang, Zeyu Wang, Yuntao Wang

CHI Workshop PhysioCHI 2024.

ISBI 2024
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A Comprehensive Dataset and Automated Pipeline for Nailfold Capillary Analysis

Linxi Zhao, Jiankai Tang, Dongyu Chen, Xiaohong Liu, Yong Zhou, Guangyu Wang, Yuntao Wang

ISBI 2024.

ACL 24
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LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Yushi Bai, Xin Lv, Jiajie Zhang, Hongchang Lyu, Jiankai Tang, Zhidian Huang, Zhengxiao Du, Xiao Liu, Aohan Zeng, Lei Hou, Yuxiao Dong, Jie Tang, Juanzi Li

ACL 24

AI Health Summit 2023
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ALPHA: AnomaLous Physiological Health Assessment Using Large Language Models

Jiankai Tang, Kegang Wang, Hongming Hu, Xiyuxing Zhang, Peiyu Wang, Xin Liu, Yuntao Wang

AI Health Summit 2023.

EMBC 2023
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MMPD: Multi-Domain Mobile Video Physiology Dataset

Jiankai Tang, Kequan Chen, Yuntao Wang, Yuanchun Shi, Shwetak Patel, Daniel McDuff, Xin Liu

IEEE EMBC 2023 (Oral)

NeurIPS 2023
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rPPG-Toolbox: Deep Remote PPG Toolbox

Xin Liu, Girish Narayanswamy, Akshay Paruchuri, Xiaoyu Zhang, Jiankai Tang, Yuzhe Zhang, Yuntao Wang, Soumyadip Sengupta, Shwetak Patel, Daniel McDuff

NeurIPS 2023

🎖 Honors and Awards

  • 2025 Excellent Beijing Natural Science Foundation Program, Beijing Natural Science Foundation(Principle Investigator, Top 5).
  • 2024 Excellent Graduation Thesis, Beijing Municipal Education Commission(Top 0.8%).
  • 2024 First Prize in Ubiquitous Intelligent Sensing Technology Innovation Application Competition(Top 5).
  • 2024 First Prize in the National Biomedical Engineering Innovation Competition(Top 5%).
  • 2024 Excellent Graduation Thesis at Tsinghua University(Top 1 in Department).
  • 2024 Outstanding Graduate at Tsinghua University(Top 10%).
  • 2024 Best Presentation Award at Tsinghua University Initiative Scientific Research Program Forum(Top 5).
  • 2023 National Scholarship, Ministry of Education, P.R. China (Top 1 in Department)
          Top scholarship in China. 0.2% domestically.
  • 2023 Scholarship for Social Work Excellence, Tsinghua University
  • 2023 Scholarship for Science and Technology Innovation Excellence, Tsinghua University
  • 2022 Scholarship for Social Work Excellence, Tsinghua University
  • 2022 Scholarship for Science and Technology Innovation Excellence, Tsinghua University
  • 2021 Scholarship for Social Work Excellence, Tsinghua University

📖 Educations

  • 2024.06 - 2027.06, the Department of Computer Science and Technology, Tsinghua University
    • 2024.09-2026.09, Medical & Engineering Improvement Program, Tsinghua University
  • 2019.06 - 2024.06, Creative Design and Intelligent Engineering(CDIE, 智班), double majors in Automation and Industrial Design, Xinya College, Tsinghua University
    • 2022.7-2023.7, Artificial Intelligence Innovation and Entrepreneurship Program, Tsinghua University
    • 2023.6-2023.9, Access Computing Summer Program, Tsinghua University/University of Washington/GIX
    • 2022.1, Artificial Intelligence and Machine Learning Winter Program, Oxford University

💬 Invited Talks

  • 2024.06, Commencement Ceremony, Xinya College, Tsinghua University
  • 2024.04, LLM Applications in Social Work, Tsinghua University
  • 2023.07, MMPD Presentation, IEEE Engineering in Medicine and Biology Society
  • 2022.12, Creative Software, Xinya College, Tsinghua University
  • 2022.05, Patent Writing, Xinya College, Tsinghua University

💻 Internships

  • 2024.01 - 2025.02, Ant Group Pedcha Lab, China.

👨🏻‍🎓 Service and Leadership

  • Conference Reviewers: MobileHCI’24
  • Journal Reviewers: IMWUT
  • 2024-Now: Science and Innovation Mentor, Xinya College, Tsinghua University
  • 2023-Now: Chairman of Hunan Culture Association, Tsinghua University
  • 2021-2023: Leader of Creative Design and Intelligent Engineering. CDIE9 was honored with the award of “Excellent Academic Class”.
  • 2022-2023: Vice president of the Science and Innovation Association, Xinya College.

🔗 LINKS

Pervasive HCI Group: The lab for Pervasive Computing and Human-Computer Interaction at Tsinghua
Yuntao Wang: Associate Professor, Department of Computer Science and Technology, Tsinghua University
Xin Liu: Research Scientist, Google Consumer Health Research and a research affiliate, the Paul G. Allen School of Computer Science & Engineering, University of Washington
Mingxuan Liu: Department of Biomedical Engineering, Tsinghua University