Prof. Junlong Chen

Foreign Member of Academia Europaea, IEEE Life Fellow

South China University of Technology, China  (click)

Professor Junlong Chen (C. L. Philip Chen) is the Dean of the School of Computer Science and Engineering at South China University of Technology.He is a Foreign Member of Academia Europaea, the European Academy of Sciences and Arts, and the Russian Academy of Engineering. Professor Chen is an IEEE Life Fellow, an IAPR Fellow, and an AAAS Fellow.He has published over 1,200 papers in internationally renowned journals, including more than 800 articles in IEEE Transactions journals, and has received multiple Best Paper Awards. As of January 2025, his work has been cited over 66,000 times on Google Scholar with an H-index of 121, and over 55,000 times according to Web of Science, including 53 highly cited papers (top 1%) and 4 hot papers (top 0.1%). Professor Chen has received five Outstanding Contribution Awards from various IEEE societies, the prestigious IEEE Norbert Wiener Award in 2018, the IEEE Joseph G. Wohl Outstanding Career Award in 2021, and the Wu Wen Jun AI Prize for Outstanding Contribution in Artificial Intelligence in 2021. He has also been recognized as a Clarivate Analytics Highly Cited Researcher for six consecutive years from 2018 to 2023.

Prof. Jun Zhu

IEEE Fellow，AAAI Fellow

Tsinghua University, China (click)

Jun Zhu, Deputy Director of the State Key Laboratory of Intelligent Technology and Systems, Co-Director of the Tsinghua-Bosch Joint Research Center for Machine Learning, Chief Scientist for Machine Learning at the Beijing Academy of Artificial Intelligence (BAAI), Full Professor and Ph.D. Supervisor, Department of Computer Science and Technology, Tsinghua University. 

Professor Zhu's research focuses on fundamental theories of machine learning, efficient algorithms, and their applications, with an emphasis on bridging theoretical advances with real-world challenges. Addressing common problems in learning and leveraging latent structures embedded in complex data, he has investigated several key issues in structure learning and structure-based statistical modeling. His contributions include: (1) PAC-Bayes theories and methods for maximum entropy discriminant learning; (2) theories of regularized Bayesian inference and regularized nonparametric Bayesian inference; (3) theories and efficient algorithms for max-margin learning of Bayesian models... These research outcomes have been published in over 100 papers in leading international conferences and journals, including ICML, NeurIPS, IJCAI, AAAI, JMLR, and PAMI, over consecutive years. His work has been supported by national grants including the National Basic Research Program (973 Program), the Excellent Young Scientists Fund and Key Program of the National Natural Science Foundation of China, and has been recognized by Tsinghua University's "221 Basic Research Talent Support Program."

Assoc. Prof. Xin Jin

Peking University, China (click)

Xin Jin is a Tenured Associate Professor, Researcher, and Doctoral Supervisor at the Institute of Software, School of Computer Science, Peking University. He is a recipient of the Fourth Alibaba DAMO Academy Young Fellow Award, the CCF Young Scientist Award, and the 2024 ACM SIGCOMM Rising Star Award. In 2007, he began his studies at the Department of Computer Science and Technology, Peking University. In 2011, he went to Princeton University to pursue his Ph.D. in Computer Science, and from 2016, he conducted postdoctoral research at the University of California, Berkeley. From 2017 to 2020, he served as an Assistant Professor in the Department of Computer Science at Johns Hopkins University before returning to Peking University to join the faculty in 2021. His research focuses on cloud computing system software, software-defined networking, and machine learning operating systems. His work has been published in top-tier international conferences such as SIGCOMM, NSDI, and OSDI. He has received Best Paper Awards at NSDI 2018 and FAST 2019, as well as industry research awards including the Facebook Communications & Networking Award and the Google Faculty Research Award.

Prof. Yanhua Long

Shanghai Normal University, China  (click)

Professor, Department of Information and Communication Engineering, Shanghai Normal University, Director, Unisound-SHNU Joint Laboratory for Natural Human-Machine Interaction, Expert, Shanghai Academician Expert Workstation, Shanghai "Eastern Scholar" Professor, Recipient of grants from the National Natural Science Foundation of China, Recipient of the Shanghai First Youth Talent Sailing Program. Professor Long is a member of IEEE and ISCA, with over 15 years of research and industrial experience in intelligent speech and language processing, human-computer interaction, and deep learning. 

Research Interests: Speech Information Processing: Robust speech recognition, speaker verification, target speech separation, personalized speech enhancement, speech synthesis, multimodal speech processing, and general-purpose speech foundation models.

Sound Event Detection: Semi-supervised/unsupervised sound event detection in home environments, sound source localization, and few-shot sound event detection.