长江学者特聘教授。于清华大学获得了计算机科学与技术工学博士、硕士和学士学位，1993年起任教清华大学计算机系，主要研究领域是人机交互、普适计算、多媒体等。近年来实现了基于信息熵的交互任务优化、自然交互意图的贝叶斯推理等自然交互原理和智能算法，是近年（2016-）CSRankings上全球HCI顶级论文最多的学者，相关技术成果在产业大规模推广应用；曾获2010、2015年度国家科技进步二等奖、2019年度中国电子学会科技进步一等奖。曾任人机交互与媒体集成研究所所长（2003-2018），青海大学计算机系主任（2013-2016，对口支援）、清华大学全球创新学院GIX创院院长（2015-2020）。现任青海大学校长、清华大学人工智能研究院智能人机交互中心主任、普适计算教育部重点实验室主任。
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 President of Qinghai University、the director of the intelligent human-computer interaction center of the Institute of Artificial Intelligence at Tsinghua University, and the director of the Key Laboratory of pervasive computing of the Ministry of education.
长聘教授、博导，青年长江学者，计算机系党委书记。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 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.
研究员，国家优青，2007年获西安交通大学计算机和数学专业双学士学位，2012年获清华大学计算机专业博士学位，毕业后进入到中科院自动化所模式识别国家重点实验室工作，先后任助研、副研和研究员职位。2022年回到清华大学工作。主要研究兴趣为人机交互学习、计算机博弈和计算机视觉。目前已在人工智能相关国际会议和刊物上发表论文100余篇，谷歌学术引用超过12000次，参与编写人工智能领域专著两部，完成译著三部。曾获清华大学计算机系“学术新秀”、“谷歌学者”、三次顶级国际和国内会议最佳/卓越论文奖等荣誉和奖励，以及十余次在国际国内智能技术挑战赛中获奖，研发的多项技术在重要军民实际场景中得到了应用。
Junliang Xing is a researcher and the recipient of the National Science Fund for Excellent Young Scholar. He obtained his dual bachelor's degrees in Computer Science and Mathematics at Xi'an Jiaotong University in 2007 and his doctorate in Computer Science in 2012. Then he worked in the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences as an assistant researcher, associated researcher, researcher in 2012, 2015, 2018, respectively. In 2022, he returns to Tsinghua. His research interests are human-computer interactive learning, computer gaming, and computer vision. He has published more than 100 peer-reviewed papers in international conferences and journals, with more than 12,000 citations from Google Scholar. He has also published two books and translated three classical textbooks in artificial intelligence. He has been granted the "New People in Academia," "Google Fellowship," and three times "Best/Distinguished Paper" awards in top international and domestic conferences, with a dozen times of prizes in AI technique competitions. His research techniques have got several applications in practical systems.
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.
副研究员，于清华大学计算机科学与技术系获得博士、硕士、学士学位。主要从事人机混合智能、嵌入式媒体处理与物联网技术等，曾获得2013年北京市科学技术一等奖、2014年教育部科学技术进步一等奖，2019年中国电子学会科技进步一等奖，2016年入选青海省“高端创新人才千人计划”，被评为第三届中国嵌入式系统产业杰出青年。
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.
副研究员，2011年获得北京邮电大学学士学位，2016年获得清华大学博士学位。研究方向是交互行为与生理指征的端智能感知计算，解决稀疏感知数据上高效准确推理交互意图、端侧数据驱动的机器学习方法效率低且泛化能力差等难题。近些年在人机交互与普适计算领域发表50余篇会议/期刊论文，包括SIGCHI、IMWUT等国际顶级会议/期刊，5次荣获会议最佳论文或最佳论文提名奖，已获授权发明专利20余项。国内外同龄段青年学者中，其 IMUWT (即 ACM Ubicomp 论文期刊，CCF A) 论文成果第一。荣获2022年第七届中国科协青年人才托举工程、2021年中国人工智能学会优秀科技成果奖、2019年中国电子学会科学技术奖一等奖等奖励。
Yuntao Wang is an associate researcher. He received his bachelor's degree from Beijing University of Posts and telecommunications in 2011 and his Ph.D. from Tsinghua University in 2016. His research focuses on efficient behavioral and physiological computing on edge devices, thus achieving accurate and efficient interaction intention inference. He published 50+ journal or conference papers including top venues such as SIGCHI and IMWUT. Among young scholars under age 35, he publishes the most IMWUT (Ubicomp, CCF A) journal papers. Five of his papers were recognized as best paper or honorable mentioned awards. He was awarded by the Young Elite Scientists Sponsorship Program by the China Association for Science and Technology (CAST) in 2022, the Excellent Innovation Award of the Chinese Association of Artificial Intelligence (CAAI) in 2021 and the First Prize of Science and Technology Award of the Chinese Institute of Electronics (CIE) in 2019.
助理研究员，2016年、2021年于清华大学获得学士、博士学位。主要研究方向是智能人机交互，包括文本输入、情境感知、可穿戴设备和无障碍等方面工作。研发的基于手指运动控制能力⻉叶斯模型的智能文本输入方法，在搜狗输入法中作为关键特性得以应用，服务用户规模超6亿，日均输入900亿字，显著提升纠错字符串的召回率和线上纠错的点选率；提出世界上首款盲人键盘，根据盲人用户输入进行字符级纠错，显著降低输入错误率。曾获得ACM CHI Honorable Mention Award、中国人因工程设计大赛一等奖等。
Weinan Shi is an assistant researcher in the Department of Computer Science and Technology at Tsinghua University. He received his bachelor's and doctorate degrees from Tsinghua University in 2016 and 2021. His research focuses on intelligent human-computer interaction, including text entry, context-aware technology, wearable devices, and accessibility. He proposed a Bayesian model of finger movement control ability, which has been used as a critical feature in the Sogou input method. This method now benefits over 600 million users, facilitating the input of approximately 90 billion words daily, and has markedly enhanced recall and correction click rate. He also proposed the world's first smart keyboard for visually impaired people, significantly reducing the input error rate. He won the ACM CHI Honorable Mention Award and the first prize in the China Human-Factors Engineering Design Competition.
