MLNLP 2025 Speakers

 

Keynote Speaker I

Prof. Nianyin Zeng, Xiamen University, China

Nianyin Zeng is currently a Professor with the Department of Instrumental and Electrical Engineering of Xiamen University. He received the B.Eng. degree in electrical engineering and automation in 2008 and the Ph.D. degree in electrical engineering in 2013, both from Fuzhou University. From October 2012 to March 2013, he was a RA in the Department of Electrical and Electronic Engineering, the University of Hong Kong. From September 2017 to August 2018, he was an ISEF Fellow founded by the Korea Foundation for Advance Studies and also a Visiting Professor at the Korea Advanced Institute of Science and Technology (KAIST). His current research interests include intelligent data analysis, machine learning and computer vision, computational intelligent, system modeling and applications. He has published more than 80 research papers in referred journal and conferences as well as 13 patents. By Google Scholar, his publications have been cited by more than 7,000 times with H-Index 34. Dr. Zeng is currently serving or has served as an Associate Editor for Neurocomputing Frontiers in Medical Technology, and Evolutionary Intelligence, an Editorial Board member for Computers in Biology and Medicine, Biomedical Engineering Online, Mathematical Problems in Engineering, Journal of Electronics & Information Technology, and Journal of Image and Graphics, and also Guest Editors for Frontiers in Neuroscience and Frontiers in Medical Technology. He has also served as program committee members for a number of premier international conferences related to intelligent data analysis, including EAI ICMTEL, ACAIT, ICCSE, etc. Dr. Zeng has received a number of prestigious awards, including High-Level Talent of Fujian Province, Key-Talent of Xiamen City, Nanqiang Young-Top-Talent of Xiamen University, three Provincial Natural Science Awards, Invention and Entrepreneurship Achievement Award by the China Invention Association, and Distinguished Reviewers of Computers in Biology and Medicine, Neurocomputing, and Chinese Journal of Scientific Instrument.

 

 

Keynote Speaker II

Prof. Huiyu Zhou, University of Leicester, UK

Prof. Huiyu Zhou received a Bachelor of Engineering degree in Radio Technology from Huazhong University of Science and Technology of China and a Master of Science degree in Biomedical Engineering from University of Dundee of United Kingdom, respectively. He was awarded a Doctor of Philosophy degree in Computer Vision from Heriot-Watt University, Edinburgh, United Kingdom, supervised by Professors Patrick Green (Psychology) and Andrew Wallace (Computer Engineering). Prof. Zhou heads the AI and Machine Learning Group and leads the Biomedical Image Processing Lab (BIPL) at University of Leicester. He was Director of MSc Programme (2018-2019) and Coordinator of MSc Distance Learning at Informatics (2018-2022), and is PGR Director of CMS, Deputy Director of Research Centre for Artificial Intelligence, Data Analytics and Modelling (AIDAM) and Member of the Executive Group of Apollo-Leicester Centre for Digital Health and Precision Medicine. Prior to this appointment, he worked as Reader (2018-2020) at University of Leicester, and Lecturer (2012-2017) at the School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast (QUB). He was a visiting scholar of QUB during 2018-2020. Prof. Zhou has published widely in the field. He was the recipient of "CVIU 2012 Most Cited Paper Award", "MIUA2020 Best Paper Award", "ICPRAM 2016 Best Paper Award in the Area of Applications" and was shortlisted for "ICPRAM 2017 Best Student Paper Award" and "MBEC 2006 Nightingale Prize". He serves as: Editor-in-Chief of Recent Advances in Electrical & Electronic Engineering, Associate Editor/EBM of IEEE Transactions on Human-Machine Systems, IEEE Journal of Biomedical and Health Informatics, Pattern Recognition, PeerJ Computer Science, Security and Safety, Scientific Reports, Machine Intelligence Research, International Journal of Image and Graphics, Intelligent Marine Technology and Systems and IEEE Access, Editorial Board Member and Guest Editor of several refereed journals.

 

Keynote Speaker III

Prof. Jian Yao, Wuhan University, China

Jian Yao, born in December 1975, is from Lianyuan City, Hunan Province, China. Yao is a professor, Doctoral Supervisor, Distinguished Professor of "Chutian Scholar" Program of Hubei Province, Discipline Development Leader of the School of Remote Sensing Information Engineering of Wuhan University, a candidate of the National Major Talent Project A-type Youth Project, a member of the Strategic Talent Training Program of Changsha, a high-end talent of the 3551 Entrepreneurship and Innovation Program of Wuhan, a student of the Class 2019 of Baidu Alpha College, a leader of the Artificial Intelligence College of Guangdong Open University, director of the Artificial Intelligence Application Innovation Center of Guangdong Open University, dean of Research Institute of Desauto Technology (Shenzhen) Co., Ltd., Professor of Xiamen University of Aeronautics and Astronautics, distinguished researcher of Songhua River Thousand People Industry Research Institute, director of Wuhan University Computer Vision and Remote Sensing Lab (WHU-CVRS Lab), director of 3D Big Data Artificial Intelligence Innovation Research Center of Wuhan University, incumbent Member of the Chinese Society of Artificial Intelligence, member of the Computer Vision Professional Committee of the Chinese Computer Society (CCF), member of the Imaging Detection and Perception Committee of the Chinese Society of Image and Graphics, member of the Machine Vision Specialty Committee of the Chinese Society of Image and Graphics, member of 3D Vision Specialist Committee of the Chinese Society of Image and Graphics, member of the Big Data and Artificial Intelligence Working Committee of the Chinese Society of Surveying and Mapping, and director of the New Overseas Chinese Professionals Association of Hubei Province and Wuhan City. In April 2012, he was introduced to the School of Remote Sensing and Information Engineering of Wuhan University as a discipline development leader and has been a faculty member since then. He was invited as a specially-appointed professor of “Hubei Scholar” Program of Hubei in 2013. He has participated in many large-scale projects such as the EU's sixth and seventh framework plans, as well as cooperation projects with the International Atomic Energy Agency. In recent years, he has published over 150 papers on international journals including Pattern Recognition, Computer Vision & Image Understanding, International Journal of Robotics Research, IEEE Transactions on Image Processing, ISPRS Journal of Photogrammetry and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing (TGRS) and CVPR, applied for over 70 IPs and patents, with 30 authorized by the Chinese government. He has long been a reviewer of top journals and conference proceedings. After joining Wuhan University, Prof. Yao has established the WHU-CVRS Lab, which now consists of four advisors, one postdoctoral fellows, 30 PhDs and master students. Prof. Yao has chaired a series of research projects at national and provincial levels, including national key research programs, programs of the 973 Project, and the National Natural Science Fund. Meanwhile, in collaboration with well-known enterprises like Tencent, Huawei and Alibaba, he has initiated a range of joint research programs and talent training projects. Currently, the main research directions include: computer vision, artificial intelligence, robot technology, high-precision map, SLAM, navigation and positioning, unmanned driving, 3D technology, VR / AR, etc.

 

 

Keynote Speaker IV

Prof. Wenwu Wang, University of Surrey, UK

Wenwu Wang is currently a Professor of Signal Processing and Machine Learning, and a Co-Director of the Machine Audition Lab within the Centre for Vision Speech and Signal Processing. He is also an AI Fellow of Surrey Institute for People Centred Arteficial Intelligence. He was born in Anhui, China. He received the B.Sc. degree in 1997, the M.E. degree in 2000, and the Ph.D. degree in 2002, all from Harbin Engineering University, China. He then worked in King's College London (2002-2003), Cardiff University (2004-2005), Tao Group Ltd. (now Antix Labs Ltd.) (2005-2006), and Creative Labs (2006-2007), before joining University of Surrey, UK, in May 2007. He was a Visiting Scholar at the Perception and Neurodynamics Laboratory (PNL) and the Center for Cognitive and Brain Sciences, in Ohio State University, USA, in 2008. He is a Guest Professor at Qingdao University of Science and Technology (2018-) and at Tianjin Univrsity (2020-). His current research interests include blind signal processing, sparse signal processing, audio-visual signal processing, machine learning and perception, artificial intelligence, machine audition (listening), and statistical anomaly detection. He has (co)-authored over 300 publications in these areas including two books: Machine Audition: Principles, Algorithms and Systems by IGI Global published in 2010 and Blind Source Separation: Advances in Theory Algorithms and Applications by Springer in 2014. His work has been funded by EPSRC, EU, Dstl, MoD, DoD, Home Office, Royal Academy of Engineering, National Physical Laboratory, BBC, and industry (including Samsung, Tencent, Huawei, Atlas, Saab, and Kaon).

He is a (co-)author or (co-)recipient of over 15 awards including the 2022 IEEE SPS Young Author Best Paper Award, ICAUS 2021 Best Paper Award, DCASE 2020 Best Paper Award, DCASE 2019 and 2020 Reproducible System Award, LVA/ICA 2018 Best Student Paper Award, FSDM 2016 Best Oral Presentation, ICASSP 2019 and LVA/ICA 2010 Best Student Paper Award Nomenees, 2016 TVB Europe Award for Best Achievement in Sound, 2012 Best Solution Award on the Dstl Challenge, and the 1st place in 2020 DCASE challenge on "Urban Sound Tagging with Spatio-Temporal Context", and the 1st place in the 2017 DCASE Challenge on "Large-scale Weakly Supervised Sound Event Detection for Smart Cars". He also received the Outstanding Graduate Award in 2000, the Excellent Paper Award in 2000, the Excellent Thesis Award in 2000 and numerous Scholarships for academic excellence from Harbin Engineering University. He was on the 2021 and 2022 Standford University list of World Top 2% Scientists. He is a Senior Area Editor (2019-) for IEEE Transactions on Signal Processing, an Associate Editor (2020-) for IEEE/ACM Transactions on Audio Speech and Language Processing, an Associate Editor of Nature Scientific Report (2022-) and Senior Area Editor of Digital Signal Processing (2021-), and an Associate Editor (2019-) for EURASIP Journal on Audio Speech and Music Processing. He is a Specialty Editor in Chief (2021-) of Frontier in Signal Processing, and was an Associate Editor (2014-2018) for IEEE Transactions on Signal Processing. He is elected Chair (2023-) of IEEE SPS Machine Learning for Signal Processing Technical Committee, elected Vice Chair (2022-) of EURASIP Technical Area Committee on Acoustic Speech and Music Signal Processing, an elected Member (2021-) of the IEEE Signal Processing Theory and Methods Technical Committee, and an elected Member (2019-) of the International Steering Committee of Latent Variable Analysis and Signal Separation. He was a Publication Co-Chair for ICASSP 2019 (Brighton, UK) and a Satellite Workshop Co-Chair for INTERSPEECH 2022 (Incheon, Korea), and a Technical/Program Committee Member of over 100 international conferences. He is a Senior Member of IEEE, and a Fellow of the Higher Education Academy.

 

 

Keynote Speaker V

Prof. Liang Zhao, Shenyang Aerospace University, China

Liang Zhao is a Professor at Shenyang Aerospace University, China. He is a member of IEEE INGR SatCom and IEEE ComSoc SSC. He received his Ph.D. degree from the School of Computing at Edinburgh Napier University in 2011. Before joining Shenyang Aerospace University, he worked as associate senior researcher in Hitachi (China) Research and Development Corporation from 2012 to 2014. His research interests include ITS, VANET, WMN and SDN. He has published more than 120 papers. He served as the Chair of several international conferences and workshops, including 2021 IEEE TrustCom (Program Co-Chair), 2019 IEEE IUCC (Program Co-Chair), and 2018-2021 NGDN workshop (founder). He is Associate Editor of Frontiers in Communications and Networking and Journal of Circuits Systems and Computers. He is/has been a guest editor of IEEE Transactions on Network Science and Engineering, Springer Journal of Computing, etc. He was the recipient of the Best/Outstanding Paper Awards at 2015 IEEE IUCC, 2020 IEEE ISPA, and 2013 ACM MoMM.

 

 

Keynote Speaker VI

Prof. Xiuxian Li, Tongji University, China

Xiuxian Li is a research professor of College of Electronic and Information Engineering, and Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University, Shanghai, China. He received the B.S. degree in mathematics and applied mathematics and the M.S. degree in pure mathematics in Shandong University, Jinan, China, in 2009 and 2012 respectively, and the Ph.D. degree in mechanical engineering from the University of Hong Kong in 2016. From 2016 to 2020, he has been a research fellow in the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, and he has also been a senior research associate in the Department of Biomedical Engineering, Hong Kong in 2018. He held a visiting position at King Abdullah University of Science and Technology, Saudi Arabia, in September 2019. He is in the finalist of IEEE RCAR 2018, invited as a keynote speaker in the international conference BDIDM 2021, invited as guest editor of Control Theory and Applications, members of CAA-YAC, CAA, CAAI, and senior members of IEEE, CICC. He is the principal of one funding from National Natural Science Foundation of China. He has published near 30 SCI papers in recent five years, including four full papers in IEEE TAC and Automatica. His research interests include distributed control and (online) optimization, algorithms, operator theory, game theory, and machine learning, as well as applications to UAVs and autonomous driving, etc.