Yuanchun Shi is Distinguished professor of Changjiang Scholars. She received her doctorate, master's and bachelor's degrees in computer science and technology from Tsinghua University. She has taught in the Department of Computer Science and Techonology at Tsinghua University since 1993. Her main research fields are human-computer interaction, pervasive computing, multimedia. In recent years, she has established natural interaction principles and intelligent algorithms such as interaction task optimization based on information entropy and Bayesian reasoning of natural interaction intention. She is the scholar who has published the most top papers on HCI in the world in recent years (2016 -) CSRankings, and the relevant technical achievements have been popularized and applied in the industry on a large scale; She has won the second prize of national science and Technology Progress Award in 2010 and 2015 and the first prize of science and technology progress award of China Electronics Society in 2019. She once served as the director of the Institute of human computer interaction and media integration (2003-2018), the director of the computer department of Qinghai University (2013-2016, counterpart support), and the first dean of Global Innovation Exchange GIX of Tsinghua University (2015-2020). She is currently the director of the intelligent human-computer interaction center of the Institute of artificial intelligence at Tsinghua University, the director of the Key Laboratory of pervasive computing of the Ministry of education, and the director of the human-computer interaction Professional Committee of the China Computer Federation.
长聘副教授、博导，青年长江学者，计算机系党委副书记。于清华大学计算机科学与技术系获得学士学位和博士学位。主要研究兴趣包括情感计算和人机语音交互。目前担任中国计算机学会语音对话与听觉专委会秘书长、中文信息学会语音专业委员会秘书长、中国图像图形学学会情感计算与理解专委会副主任等。入选2018年IJCAI Early Career Spotlight和2018 ACM SIGMM Emerging Leaders，获得2019年电子学会科技进步一等奖、2016年教育部科技进步奖，2018年ACM Multimedia Best Demo Award和2012年ACM Multimedia Grand Challenge Prize等，并与腾讯、SOGOU、华为、微软亚洲研究院、BOSCH等国内外同领域企业保持密切合作。
Jia Jia is a tenured associate professor and doctoral advisor, a young Changjiang Scholar and Deputy Secretary of the Party committee of the Department of computer science. She received her bachelor's degree and doctor's degree from the Department of Computer Science and Technology at Tsinghua University. Her main research interests include emotional computing and human-computer voice interaction. At present, she is the Secretary General of the speech dialogue and hearing special committee of the China Computer Federation, the Secretary General of the speech Professional Committee of the Chinese Information Processing Society, and the deputy director of the emotional calculation and understanding special committee of the China Society of Image Graphics. She was selected into the IJCAI early career spotlight in 2018 and ACM sigma emerging leaders in 2018, won the first prize of scientific and technological progress award of the Institute of electronics in 2019, the scientific and technological progress award of the Ministry of education in 2016, the ACM multimedia best demo award in 2018 and the ACM multimedia grand challenge prize in 2012, and maintains close cooperation with Tencent, Sogou, Huawei, Microsoft Asia Research Institute, Bosch and other enterprises in the same field at home and abroad.
副教授、博导，于清华大学计算机科学与技术系获得博士学位。研究方向是人机交互，围绕人机交互自然性的计算原理和优化方法开展。近年来，在人机交互领域高水平期刊和会议上发表论文60余篇，9次获得论文奖励，是近年（2016-）CSRankings上全球HCI顶级论文最多的学者。2015年获得教育部科技进步一等奖，2016年获得CCF-Intel青年学者计划的奖励资助，2017年入选CCF“青年人才托举计划”。获得2019年电子学会科技进步一等奖（第二完成人）、2019年阿里达摩院青橙奖，并于2020年起被聘为智源青年学者。目前兼任中国图象图形学学会人机交互专委会副主任、ACM SigCHI China（中国分会）副主席和CCF人机交互专委会秘书长等。
Chun Yu is an associate professor and doctoral advisor. He got his PhD degree from the Department of Computer Science and Technology at Tsinghua University. The research direction is human-computer interaction, focusing on the calculation principle and optimization method of the naturalness of human-computer interaction. In recent years, he has published more than 60 papers in top journals and conferences in the field of human-computer interaction and won Paper Awards for 9 times. He is the scholar who has published the most top papers on HCI in the world in recent years (2016 -) CSRankings. In 2015, he won the first prize of science and technology progress award of the Ministry of education. He won the award and subsidy of CCF Intel young scholars program in 2016 and was selected into CCF "young talent promotion program" in 2017. He won the first prize for scientific and technological progress of the Institute of electronics in 2019 (the second adult), the green orange award of the aridamo Academy in 2019, and was employed as a Zhiyuan Young Scholar since 2020. At present, he is also the deputy director of the human-computer interaction special committee of China Society of Image Graphics, the vice chairman of ACM SIGCHI China (China branch) and the Secretary General of CCF human-computer interaction Professional Committee.
Pin Tao is an associate researcher and obtained his doctorate, master's degree and bachelor's degree from the Department of Computer Science and Technology at Tsinghua University. He is mainly engaged in man-machine hybrid intelligence, embedded media processing and Internet of things technology. He has won the first prize of Beijing Science and technology in 2013, the first prize of science and technology progress of the Ministry of education in 2014, the first prize of science and technology progress of China Electronics Society in 2019, was selected into the "Thousand high-end innovative talents plan" of Qinghai Province in 2016, and was rated as the outstanding youth of the third China embedded system industry.
Yuntao Wang is an assistant researcher. He received his bachelor's degree from Beijing University of Posts and telecommunications in 2011 and PhD degree from Tsinghua University in 2016. His research interests are human-computer interaction, physiological computing and health perception, including 1) studying the computability of natural physiological behavior in ubiquitous terminal sensors, and realizing the ubiquitous perception and calculation methods of physiological signals; 2) studying the physiological feedback method with high user availability, and an efficient behavior intervention mechanism is proposed to realize natural and efficient human-computer interaction technology; 3) for major influential fields such as health care and information accessibility, a new edge intelligent system is realized by comprehensively considering human factors engineering, privacy security and other factors. In recent years, he has published 30+ conference / journal papers in the field of human-computer interaction and pervasive computing, including CHI、IMWUT, and won the Best Paper awards and nominations for 4 times. More than 30 patents have been applied for or obtained.