Invited Speakers  特邀嘉宾

Prof. Lei Cheng, Zhejiang University, China

Bio: Lei Cheng is currently ZJU Young Professor with the College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China. He received the B.Eng. degree from Zhejiang University in 2013, and the Ph.D. degree from The University of Hong Kong in 2018. He was a Research Scientist in Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong, Shenzhen, from 2018 to 2021. He is the author of the book “Bayesian Tensor Decomposition for Signal Processing and Machine Learning”, Springer, 2023. He was a Tutorial Speaker in IEEE ICASSP 2023, Invited Speaker in ASA 2024 and IEEE COA 2014. He is now Associate Editor for Elsevier Signal Processing and Young Editor for Acta Acustica.

 

Prof. Jun Liu, Chengdu University of Information Technology, China

Bio: Jun Liu received the Ph.D. degree in control science and engineering from the University of Electronic Science and Technology of China(UESTC), Chengdu, China, in 2018. He is currently a Professor with the School of Automation, Chengdu University of Information Technology (CUIT), Chengdu, China. In 2014, he worked with the University of California at San Diego (UCSD), San Diego, CA, USA, as a Visiting Scholar. From 2020 to 2021, he worked with the Hong Kong Polytechnic University (PolyU), Hong Kong SAR, China, as a Postdoctoral Fellow. He has authored or coauthored more than 60 articles in various journals and conference proceedings, and has won several provincial and ministerial awards. He has served as the Sichuan chairman in China of the 5th, 6th and 7th Asian International Conference on Artificial Intelligence Technology (2021-2023ACAIT), member of the academic committee of the 7th IEEE International Conference on Data Science and Systems (IEEE DSS-2021), member of the technical procedure committee and co-chairman of the organization committee of the 14th, 15th and 16th International Conference on Signal Processing Systems (2022-2025ICSPS), member of the organization committee of the 2nd International Conference on Robotics, Artificial Intelligence and Intelligent Control (2023RAIIC), member of the procedure committee of the 30th International Conference on Neural Information Processing (ICONIP2023), etc. He has served as served as a special reviewer of IEEE Transactions on Industrial Information, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, ISA Transactions, Neurocomputing, Journal of the Franklin Institute, Journal of Engineering Science (CJE), Journal of Intelligent Systems and other journals, as well as editorial board members of some journals. He has served as a commentator of Mathematic Reviews in the United States. His research interests include coordinated control of multi-agent systems, machine learning, new computing and its applications, artificial intelligence and robots.

 

Assoc. Prof. Guobing Qian
Southwest University, China

Bio: Guobing Qian is a Senior Member of both the IEEE and the Chinese Institute of Electronics. He received the Ph.D. degree in signal and information processing from the University of Electronic Science and Technology of China in December, 2015. Currently, he serves as an Associate Professor at the College of Electronic and Information Engineering, Southwest University. His primary research interests encompass adaptive filtering and adaptive signal processing.
He has been invited to serve as a Guest Editor for special issues in SCI-indexed journals, including Electronics and Symmetry. Since 2022, he has consecutively served as the Co-Chair of the Program Committee for the International Conference on Digital Signal Processing (ICDSP) from its 6th to 9th sessions. Furthermore, he has been appointed as the Co-Chair of Publications for the 6th International Conference on Electronic Engineering and Informatics (EEI) in 2024.

 

Assoc. Prof. Fang Yang
Wuhan University of Science and Technology, China

Bio: Dr. Fang Yang is an associate professor at Wuhan University of Science and Technology and a recipient of the Hubei Province "Chutian Young Scholar" title, with primary research interests in multi-modal remote sensing image fusion and geodesic methods. Her work focuses on advancing techniques for denoising, image registration, and change detection, aiming to improve the analysis and interpretation of remote sensing data. Dr. Yang is the principal investigator of a National Natural Science Foundation Youth Project and has been involved in several other National Natural Science Foundation projects. With over 30 publications in international journals and conferences, her research contributes to the development of innovative methodologies for remote sensing applications. Through her work, she seeks to integrate cutting-edge mathematical models and computational methods to address key challenges in image processing.

 

Assoc. Prof. Zipeng Li
Northwestern Polytechnical University, China

Bio: Zipeng Li is an Associate Professor and Master’s Supervisor at the School of Marine Science and Technology, Northwestern Polytechnical University (NPU). He holds a Ph.D. degree and has been engaged in long-term research on signal processing theory and underwater acoustic signal processing technologies. His work focuses on strong-noise non-stationary signal processing, weak signal feature extraction, and deep learning-based underwater target classification.
Li began his academic journey in 2010 at Xi’an Jiaotong University (XJTU), where he studied in the School of Mechanical Engineering. He graduated with a double bachelor’s degree in 2014 and was directly admitted to a Ph.D. program. From 2017 to 2019, he conducted joint Ph.D. training at the University of Toronto, Canada, under the supervision of Prof. Viliam Makis, a renowned expert in operations research and signal processing. He obtained his Ph.D. in Mechanical Engineering from XJTU in 2020.
His primary research directions include:
   •Signal processing theories and innovative methodologies
   •Active/passive sonar underwater detection
   •Underwater acoustic target classification and recognition
Research interests encompass:
   •Novel adaptive signal processing methods applied to acoustic/vibration signals
   •Extraction of extremely weak features from high-noise non-stationary signals
   •Deep learning-driven underwater target classification techniques

 

Assoc. Prof. Xiaoying Song
Wuhan University of Science and Technology, China

Bio: Xiaoying Song received the B.S. degree in electronic science and technology and the Ph.D. degree in microelectronics and solid-state electronics from Wuhan University, Wuhan, China, in 2012 and 2017, respectively. Since July 2017, she has joined the School of Information Science and Engineering at Wuhan University of Science and Technology, Wuhan, where she was recognized as a Chutian Scholar of Hubei Province. Her research interests include graph signal processing, graph learning, and their applications in brain network analysis，as well as QSAR/QSPR model learning of compounds.

 

Assoc. Prof. Guchong Li
Northwestern Polytechnical University, China

Bio: Guchong Li received the B.S. degree in electrical engineering and Ph.D degree in information and communication engineering from the University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2016 and 2021, respectively. From October 2018 to October 2020, he was a Visiting Student at the University of Florence, Italy. From July 2021 to July 2023, he was a Postdoctoral Fellow with the Department of Electronic Engineering, Tsinghua University, Beijing, China. He is currently an Associate Professor with Northwestern Polytechnical University. His current research interests include random finite set, target tracking, and multi-sensor data fusion.

 

Assoc. Prof. Hui Tang
Wuhan University of Science and Technology, China

Bio: Hui Tang received the B.E. degree in electrical and electronic engineering and the Ph.D. degree in radio physics from Wuhan University, China, in 2011 and 2016, respectively. She was a visiting Ph.D. student at Arizona State University, USA, from September 2014 to August 2016. She is currently an Associate Professor at Wuhan University of Science and Technology. Her research interests include machine learning, graph neural networks, and radar signal processing.

 

Assoc. Prof. Wei Wang
National University of Defense Technology, China

Bio: Wang Wei received the M.S. degree in information and communication engineering from National University of Defense Technology, China, and the Ph.D. degree in geoinformatics from KTH Royal Institute of Technology, Sweden, in 2013, and 2018, respectively. He is currently an associate professor with Automatic Target Recognition (ATR) National Key Laboratory, National University of Defense Technology. His research interests include SAR/PolSAR image processing, automation target recognition, target characteristics and data engineering. He has published more than 60 journal and conference articles, and obtained two provincial-level scientific research awards. He was recognized as Young Talent of Hunan Province in 2023. He is an editorial board member of Aero Weaponry, and acts as a guest editor of Electronics. He is also a reviewer of high-level international journals, such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Intelligent Transportation Systems, and Pattern Recognition.

 

Assoc. Prof. Chang Liu, Dongguan University of Technology, China

Bio: Chang Liu, D.Eng, Associate Professor, he received the Ph. D. degree in the School of Electronic Engineering, UESTC, Chengdu, P. R. China in 2012. From 2012 to 2014, he was with Huawei Technologies Company Ltd., Chengdu, China, as a radio frequency algorithm engineer, working on the anti-interference technologies at intermediate and radio frequencies. Since 2014, He has been with School of Electronic Engineering, Dongguan University of Technology, Dongguan, China, where he became an Associate Professor in 2019. His current research interests include adaptive signal processing, array signal processing and interference cancellation in the fields of audio and radio frequency.

 

Lecturer Xiaosi Tan, Southeast University, China

Bio: Xiaosi Tan received her B.S. degree from Beijing University of Technology, Beijing, China, in 2009, and her Ph.D. degree from Texas A&M University, College Station, TX, USA, in 2015. She was a Post-Doctoral Research Associate with Texas A&M University from 2015 to 2017. She joined the National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University, Nanjing, China as a Post-Doctoral Researcher in 2017, where she is currently a lecturer. Her current research interests include efficient algorithms and VLSI architectures for B5G/6G baseband signal processing, and machine learning for wireless communications. She has co-authored more than 30 papers in leading journals and conferences on these subjects, and has led and participated in several projects funded by National Natural Science Foundation of China. She serves as a member of the Applied Signal Processing Systems TC of the IEEE Signal Processing Society, the Circuits and Systems for Communications TC of the IEEE Circuits and Systems Society, and actively serves as a reviewer for numerous IEEE journals and flagship conferences.



Assoc. Prof. Xu Chen, Harbin Engineering University, China

Bio: Xu Chen received the M.S. degree from Northeastern University (NEU), Shenyang, China, in 2020 and the Ph.D. degree from National University of Defense Technology (NUDT), Changsha, China, in 2024. He is currently an Associate Professor at College of Information and Communication Engineering, Harbin Engineering University (HEU), Harbin, China. His research interests include millimeter-wave radar imaging, MIMO array signal processing, and radar electronic countermeasure technology. As a key team member, he has participated in multiple projects, such as the National Key R&D Program, the National Natural Science Foundation, and the National Defense Technology Plan. To date, he has authored over ten SCI-indexed journal papers (one of which ranks in the top 1% of ESI highly cited papers for 2023). He is a long-term reviewer for high-level SCI journals such as IEEE Transactions on Instrumentation and Measurement (TIM), IEEE Transactions on Computational Imaging (TCI), IEEE Transactions on Microwave Theory and Techniques (TMTT). In 2025, he received the Outstanding Reviewer Award from IEEE TIM, a top journal in the field of instrumentation and measurement.



Assoc. Prof. Yongjun Zhang, Guizhou University, China

Bio: Zhang Yongjun (IEEE Member), PhD, Master's Supervisor/Associate Professor, Visiting Scholar at Cardiff University, UK, Executive Dean of the Artificial Intelligence Research Institute of Guizhou University, Director of Guizhou Provincial Remote Sensing Big Data Innovation Center. Council Member of the National Computer Education Research Association of Institutions of Higher Learning, Level 2 Innovation Method Instructor in Guizhou Province, Member of the Chinese Association of Artificial Intelligence, Member of the Expert Consultation Committee of the China Security Protection Industry Association, He has published over 50 research papers in computer vision at top computer conferences/journals such as CVPR, ACCV, and IEEE Transactions, and has applied for 15 invention patents. His research focuses on intelligent video analysis and image processing, including binocular stereo matching, object detection and recognition, image enhancement, remote sensing image processing, and engineering applications,etc.