Faculty

Kai Yu is currently a distinguished professor and doctoral supervisor in the Department of Computer Science and Engineering at Shanghai Jiao Tong University (SJTU), and the co-founder and chief scientist of AISpeech. He is a leading talent in scientific and technological innovation under the National “Ten Thousand Talents Program” and has received the Outstanding Young Scientist Fund from the National Natural Science Foundation of China and the title of Distinguished Professor of the “Oriental Scholars” program in Shanghai. He obtained his bachelor’s and master’s degrees from the Department of Automation at Tsinghua University and his Ph.D. from the Department of Engineering at the University of Cambridge, UK. He has long been engaged in research and industrialization in the fields of intelligent speech and language processing, human-computer interaction, pattern recognition, and machine learning.

He has made a series of internationally advanced research, engineering, and industrialization achievements in speech recognition and synthesis, natural language understanding, spoken dialogue systems, and cognitive human-computer interaction. He has published over 200 papers in top-tier conferences and journals and has won best paper awards in prestigious journals such as Computer Speech and Language and Speech Communication, as well as best paper awards at top international conferences like Interspeech. He has achieved championships in several international evaluations for speech recognition and dialogue systems.

He is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) and the first member of the IEEE Speech and Language Processing Technical Committee from a mainland Chinese university (2017-2019). He is an associate editor of the IEEE Transactions on Audio, Speech, and Language Processing and has served as the Program Chair of international conferences such as Interspeech, and as the Area Chair for research areas of international conferences such as ACL and EMNLP.

Liping Shen, Ph.D., Associate Professor, and director of the e-Learning Laboratory at Shanghai Jiao Tong University. Since 2001, she has been a member of the Educational Technology Subcommittee of the National Information Technology Standardization Technical Committee and has received the “20th Anniversary Outstanding Contribution Award” from the committee. She has served as an editor for the SCI journal Journal of Ambient Intelligence and Smart Environments. Her research primarily focuses on adaptive learning technologies, affective computing, and learning data analytics. She has led several National Natural Science Foundation projects and technology support projects. In recent years, she has published over thirty papers in domestic and international journals and conferences. Her paper “Affective eLearning: Utilizing Emotion Data to Improve Learning in the Pervasive Environment” won the Best English Paper Award from the Shanghai CCF Pervasive Computing and Embedded Systems Subcommittee in 2016 and has been cited over 500 times according to Google Scholar. She also holds one authorized patent, has been responsible for drafting four published national standards, and participated in drafting two published international standards. She is a co-convener of the series of standards for General Artificial Intelligence Models in Education and one of the main drafters of the series of standards for artificial intelligence models by the Shanghai Association for Artificial Intelligence Technology.

Xie Chen, Associate Professor in the Department of Computer Science and Engineering at Shanghai Jiao Tong University, is a recipient of the National High-Level Talents Program. He holds a bachelor’s degree from Xiamen University, a master’s degree from Tsinghua University, and a Ph.D. from the University of Cambridge. After completing his doctorate, he conducted postdoctoral research at the University of Cambridge. He has also worked as a Senior Researcher and Principal Researcher at the Speech and Language Group of Microsoft in the United States. His main research areas are deep learning and intelligent speech signal processing, including speech recognition, speech synthesis, and speech-based self-supervised learning. He has published over 50 papers in major speech conferences such as ICASSP, InterSpeech, ASRU, and journals including IEEE/ACM and TASLP.

Mengyue Wu is an Associate Professor in the Department of Computer Science and Engineering at Shanghai Jiao Tong University and a PhD supervisor. She received her PhD from the University of Melbourne, Australia. Dr. Wu is a recipient of the Shanghai Pujiang Talent Award and serves as a member of the Speech Dialogue and Auditory Professional Committee of the China Computer Federation.

Dr. Wu has been engaged in multimedia information research for an extended period. Her research interests primarily include enriched audio information perception, natural language processing, and the application of multimodal fusion technologies in the medical field, covering areas such as mental health, public health, and related acoustic big data research. She pioneered the audio-text summarization task, establishing it as a new flagship task in the enriched audio domain.

Dr. Wu has published over 50 papers in prominent conferences and journals in intelligent audio processing and multimedia, including ICASSP, Interspeech, Multimedia, and IEEE/ACM T-ASLP. She has led and participated in numerous projects funded by the National Natural Science Foundation of China, including youth, general, and major research projects.

Lu Chen, Associate Researcher in the Department of Computer Science and Engineering at Shanghai Jiao Tong University (SJTU). His main research interests include dialogue-based large language models like ChatGPT, natural language processing, and AI for Science. He has published over 40 papers in major international conferences and journals such as TPAMI, NeurIPS, and ACL. His research has been recognized with several awards, including the Area Chair Recommendation Award at the prestigious international conference COLING2018 on natural language processing, the Best Paper Award at the 17th National Conference on Man-Machine Speech Communication (NCMMSC2022), the Outstanding Doctoral Dissertation Award of Shanghai Jiao Tong University in 2020, the Outstanding Doctoral Dissertation Nomination Award of the China Computer Federation (CCF) in 2021, and the ACM China (Shanghai Chapter) Outstanding Doctoral Dissertation Award in 2021. He has led teams to participate in and win championships or first prizes in several authoritative challenges and technical evaluations in the fields of intelligent human-computer dialogue and intelligent question answering (including DSTC, Spider, CSpider, CBLUE2.0, etc.). Some of his research achievements have been widely applied through industry-university-research collaborations, and his patents have won the Excellence Award at the 23rd China Patent Awards. He also serves as an Area Chair for the Association for Computational Linguistics Rolling Review (ACL ARR), a Standing Reviewer for the top-tier journal Transactions of the Association for Computational Linguistics (TACL), and has been a Program Committee member for major international academic conferences such as ICML, NeurIPS, ACL, and EMNLP.