Invited Speakers  特邀嘉宾

Prof. Tao Liu
Naval University of Engineering, China

Bio: Tao Liu is currently a Professor with the School of Electronic Engineering, Naval University of Engineering, Wuhan, China. He received the B.S. degree in communication engineering and the Ph.D. degree in information and communication engineering from the National University of Defense Technology, Changsha, China, in 2001 and 2007, respectively. Since 2007, he has been He has authored more than 50 journal papers and three books. His research interests include statistical theory of radar polarization, polarization information processing, synthetic aperture radar (SAR) automatic target recognition, statistical modeling of SAR image, SAR ship detection, InSAR (interferometric SAR), SAR ground moving target indication, and Artificial Intelligence., Dr. Liu was the recipient of Award of Excellent Doctor Thesis of Chinese Army, in 2009. Since 2019, he has been a committee member in Radar Branch of the Chinese Institute of Electronics.

Assoc. Prof. Wasiq Ali
Harbin Engineering University, China

Bio: Wasiq Ali received his B.Sc. degree in Electronics Engineering from COMSATS University Islamabad, Pakistan, in 2012, and his M.S. degree in Electrical Engineering (Wireless Communication) from COMSATS University Islamabad in 2015. He obtained his Ph.D. degree in Underwater Acoustic Signal Processing from Northwestern Polytechnical University, Xi’an, China, in 2021. He completed his postdoctoral research at Harbin Engineering University, China, in March 2025, and is currently working as an Associate Professor at the College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin, China. Prior to this, he served as an Assistant Professor at COMSATS University Islamabad, Pakistan. His research interests include underwater acoustic signal processing, passive target tracking, deep learning-based intelligent estimation, direction-of-arrival estimation, and MIMO channel estimation. Dr. Wasiq Ali has made significant contributions to underwater passive target tracking and intelligent signal processing. He has published more than 50 research papers in reputed international journals and conferences, including Ocean Engineering, Applied Acoustics, Signal Processing, Digital Signal Processing, IEEE Sensor Journal, IEEE journal of selected topics in applied earth observations and remote sensing, and Remote Sensing. His research focuses on integrating artificial intelligence with physical modeling for robust state estimation in challenging underwater environments. He has also actively collaborated with international researchers and contributed to interdisciplinary projects in underwater acoustics and intelligent systems.

Lecturer Peibei Cao
Nanjing University of Information Science and Technology, China

Bio: Peibei Cao received her doctoral degree from City University of Hong Kong. She is now a faculty member at Nanjing University of Information Science and Technology. Her research interests lie in perceptual multimedia signal processing, quality evaluation and low-level vision. She has published numerous papers in prestigious journals and conferences in computer vision such as CVPR, ECCV and TVCG.

Dr. Yi Li
Nanjing University of Information Science and Technology, China

Bio: Yi Li received the M.S. degree in Information and Signal Processing in 2021 and the Ph.D. degree in Information and Communication Engineering in 2026, from College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China. He is currently with the School of Electronic and Information Engineering, Nanjing University of Information Science and Technology. His research interests include millimeter-wave radar signal processing and imaging.

Lecturer Zhuang Xie
National University of Defense Technology, China

Bio: Zhuang Xie received the B.S. degree in Electronic Information Engineering from the Harbin Institute of Technology, Harbin, China, in 2018, and the M.S. and Ph.D. degrees in Information and Communication Engineering from the National University of Defense Technology, Changsha, China, in 2020 and 2024, respectively. He is currently a Lecturer with the College of Electronic Science and Technology, National University of Defense Technology. His research interests include radar signal processing and optimization theory, with emphasis on radar waveform design.

Senior Engineer Wen Fan
Xi'an University of Posts and Telecommunications, China

Bio: Dr. Wen Fan is currently a Senior Engineer at the School of Communications and Information Engineering, Xi’an University of Posts and Telecommunications. He received his Ph.D. in Electronic Science and Technology from Northwestern Polytechnical University in 2021, and was a visiting scholar at the University of Naples Federico II, Italy.
His research centers on radar waveform design and array signal processing, recently extending to dual-function radar-communication systems and sparse array optimization, developing end-to-end expertise from algorithmic theory to system-level validation.
Dr. Fan has published over 20 first-authored papers in leading international journals such as IEEE TSP and Elsevier Signal Processing. He has led or contributed to a number of national-level research projects. His honors include the Second Prize of Hebei Provincial Science and Technology Progress Award and the Excellent Doctoral Dissertation Award of Northwestern Polytechnical University. He serves as a reviewer for more than 10 leading international journals, including IEEE TSP and IEEE TAES.

Assoc. Prof. Yongjun Liu, Xidian University, China

Bio:Yongjun Liu was born in Shaanxi, China. He received the B.S. degree in electronic engineering and the Ph.D. degree in signal and information processing from Xidian University, Xi’an, China, in 2013 and 2019, respectively. From 2017 to 2019, he was a Visiting Ph.D. Student with the Department of Electrical and Computer Engineering, Lehigh University, Bethlehem, PA, USA. He is currently an associated professor with the National Key Laboratory of Radar Signal Processing, Xidian University. His research interests include integrated waveform design, counter reconnaissance and anti-jamming, target detection, and array signal processing.

Assoc. Prof. Yimao Sun, Sichuan University, China

Bio:Yimao Sun is an Associate Professor at the College of Computer Science, Sichuan University, Chengdu, China. He received the B.S. degree from the School of Electronic Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2013, and the Ph.D. degree from the School of Information and Communication Engineering, UESTC, in 2019. He was awarded a scholarship from the China Scholarship Council under the State Scholarship Fund in 2017. From 2019 to 2023, he was a researcher of courtesy appointment with the Department of Electrical Engineering and Computer Science, University of Missouri. He is an IEEE Senior Member and an CIE Member. His research interests include source localization, deep learning, array signal processing, and parameter estimation. He has authored or co-authored more than 80 journal and conference papers, and has also served as a reviewer for leading IEEE journals and conferences.

Assoc. Prof. Tianyi Jia, Xidian University, China

Bio:Tianyi Jia received the B.S. degree in information and computing science and the Ph.D. degree in information and communication engineering from the Northwestern Polytechnical University (NWPU), Xi’an, China, in 2014 and 2021, respectively. From 2017 to 2019, he was a Visiting Student with the Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA. Since 2021, he has been with Xidian University, Xi’an, China, where he is currently an Associate Professor with the National Key Laboratory of Radar Signal Processing. His current research interests include object localization, target tracking, radar signal processing and sensor array processing. Dr. Jia has coauthored about 40 conference and journal articles. His dissertation won the outstanding doctoral dissertation of NWPU.

Assoc. Prof. Helin Yang, Xiamen University, China

Bio:Helin Yang, associate professor, Xiamen University, IEEE Senior Member, he is a high-level overseas talent recognized by the Ministry of Human Resources and Social Security of China. He achieved Ph.D. degree from Nanyang Technological University. He has over 100 published papers in journals and conferences, some of papers are ESI highly cited or hot papers, and he has consistently ranked in the top 2% of scientists from 2021 to the present. His researches include 5G/6G communications, network security, and intelligent communication. He serves as an editorial board member for several SCI journals and conference program chair, and has received over 10 awards.

Asst. Research Fellow Jun Sun, Xidian University, China

Bio: Jun Sun, received the Ph.D. degree from University of Electronic Science and Technology of China, China. He is currently an Assistant Research Fellow at Xidian University. He was a jointly trained Ph.D. student at the University of Pisa, Italy. His research interests include cognitive radar resource scheduling, target tracking, and interference suppression. He has published over 20 academic papers. He has served as the Principal Investigator for projects supported by the Postdoctoral Fellowship Program of CPSF (Grade B) and the General Program of the China Postdoctoral Science Foundation, and has participated in more than 10 national-level research projects. He was awarded the title of "Rising Star of Radar" in 2026. He has served as a reviewer for several prestigious journals, including IEEE Transactions on Signal Processing and IEEE Transactions on Aerospace and Electronic Systems.

Prof. Yanyang Liu, Shanghai Institute of Satellite Engineering, China

Bio: Liu Yanyang, Ph.D., is a Professor and Ph.D. Supervisor at the Shanghai Institute of Satellite Engineering. He is a recipient of a National-Level Young Talent Program. His research focuses on the design of novel radar satellite systems and signal processing technologies. He has published more than 60 academic papers, been granted over 30 patents, and received four provincial- or ministerial-level science and technology awards.

Speech Title: Applications of coherence in imaging processing of azimuth multi-channel SAR systems

Assoc. Prof. Wenpeng Zhang, National University of Defense Technology, China

Bio: Zhang Wenpeng is an associate professor and master’s supervisor at the School of Electronic Science and Technology, National University of Defense Technology. His research has long centered on radar feature extraction and target recognition. He has served as principal investigator on six major scientific research projects, including those funded by the National Natural Science Foundation of China and the China Postdoctoral Science Foundation. He has published over 50 papers in leading domestic and international journals and conferences, such as IEEE TSP, TIM, and TAES, and holds more than 20 authorized patents. In recognition of his contributions, he has received multiple Science and Technology Progress Awards, including national and provincial/ministerial-level honors. He was also selected as a young talent under the Science and Technology Innovation Program of Hunan Province.

Assoc. Prof. Hongxia Miao, Beijing University of Posts and Telecommunications, China

Bio: Hongxia Miao was born in Hebei province, China. She received the Ph.D. degree in information and communication engineering from the Beijing Institute of Technology, Beijing, China, in 2021. She is currently an Associate Professor with the State Key Laboratory of Networking and Switching Technology, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China. Her current research interests include time-frequency analysis, cyclostationary signal processing, near-field ISAC, and intelligent signal processing.

Speech Title: Target Sensing for Near-Field Integrated Sensing and Communication with Ultra-Large-Scale Arrays

Abstract: This talk focuses on near-field integrated sensing with ultra-large-scale arrays for 6G mmWave systems. First, we introduce the fundamental challenges of near-field target perception, including spherical wavefront distortion and high-speed user Doppler interference. From two core dimensions of sensing algorithms and theoretical performance bounds, we systematically elaborate our series works. For pure near-field localization, a discrete fractional Fourier transform (FrFT) combined quasi-Newton refinement estimator is proposed to jointly resolve range, angle and radial velocity, effectively mitigating off-grid errors. For hybrid far-near-field scenarios, we design a sliding fractional synchrosqueezing transform (SFSST) to separate linear frequency modulation components, paired with ridge extraction for low-complexity channel and target parameter estimation. Furthermore, beyond the classic Cramér-Rao Bound (CRB) only valid at high SNR, we derive the Ziv-Zakai Bound (ZZB) incorporating parameter prior information, which accurately characterizes estimation errors across full signal-to-noise regimes. Simulations verify the superior accuracy and robustness of our proposed frameworks.

Dr. Wenshuai Ji, Shenzhen University, China

Bio: Dr. Ji Wenshuai, Shenzhen University. He received his Ph.D. degree in Information and Communication Engineering from the School of Electronics and Communication Engineering, Sun Yat-sen University, in September 2025. In October 2025, he joined the Postdoctoral Research Station in Information and Communication Engineering at Shenzhen University.
His research interests include array signal processing, MIMO radar signal processing, integrated sensing and communication (ISAC) waveform design, and weak target detection. He has published more than ten papers in leading SCI journals and top-tier international conferences, including IEEE Transactions on Communications, IEEE Internet of Things Journal, and ACM MobiCom. He also serves as a reviewer for several prestigious journals such as IEEE Transactions on Communications, IEEE Transactions on Aerospace and Electronic Systems, and Signal Processing.

Asst. Prof. Fei He, Southwest Jiaotong University, China

Bio: Fei He received the B.E. degree in Electrical Engineering from Sichuan University, Chengdu, China, in 2019, and the M.S. degree in Biomedical Engineering from the same university in 2022. She received the Ph.D. degree in Information and Communication Engineering from the University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2026. She is currently an Assistant Professor with the School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China.
Her research interests include tensor decomposition and representation learning for biomedical signal processing and medical image analysis, with applications to speech signals, electroencephalography (EEG), and diffusion tensor imaging (DTI) data. She has authored more than 20 journal and conference publications in the field of biomedical signal processing. Her research has appeared in leading journals and conferences, including IEEE Transactions on Image Processing, IEEE Transactions on Biomedical Engineering, IEEE/ACM Transactions on Audio, Speech, and Language Processing, IEEE Transactions on Automation Science and Engineering, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE International Symposium on Circuits and Systems (ISCAS), and others.

Prof. Maolin Wang, Jinan University, China & Zhanjiang University of Science and Technology, China

Bio: Maolin Wang, Ph.D. Professor and Doctoral Supervisor, Post‑doctoral Co‑supervisor, College of Chinese Language and Culture, Jinan University; Professor, School of Culture and Media, Zhanjiang University of Science and Technology.
He serves as a committee member of the Phonetics Branch of the Chinese Linguistics Society, member of the Basic Acoustics Sub‑Committee of the National Acoustics Standardization Technical Committee, member of the National Phonology Professional Committee, expert of Guangdong Provincial Language and Characters Commission, and editorial board member of Journal of Chinese Phonetics.
He obtained his doctoral degree from the Graduate School of Chinese Academy of Social Sciences in 2003. His research focuses on Chinese phonetics. He has presided over the National Social Science Fund project, Humanities and Social Science Fund of the Ministry of Education, Guangdong Provincial Social Science Fund, and National Language Resource Conservation Project.
He has published dozens of papers in SSCI, CSSCI, EI‑indexed journals and EI conferences, and authored the monograph A Study on Prosodic Patterns of Spontaneous Chinese Speech. He was awarded the First Prize for Outstanding Achievements in Philosophy and Social Sciences of Guangdong Province.

Prof. Feng Tong, Xiamen University, China

Bio: Feng Tong (Member, IEEE) received the Ph.D. degree in Marine physics from the Xiamen University, China, in 2000. He is currently a Professor with the Department of Applied Marine Physics and Engineering, Xiamen University. His research interests include underwater acoustic communication and acoustic signal processing. He published more than 60 peer-reviewed articles and holds 30 patents across acoustic communication and signal processing. He has been serving as Council Member of the Acoustical Society of China (21-26) and Member of the Underwater Communications Committee of the Chinese Society of Communications. He served as an Editorial Board member of the Journal of Marine Science and Application, and also served as General Co-Chair of the WUWNET2025 and WUWNET2026.

Senior Engineer Cheng Wang, Hangzhou Applied Acoustics Research Institute, China

Bio: Wang Cheng, Senior Engineer, Hangzhou Applied Acoustics Research Institute. His primary research covers the theory and engineering application of active sonar signal processing. He has presided over four national and provincial scientific research projects, including basic strengthening field funds and key laboratory stable support programs. Serving as the head of the detection subsystem for a major project, he has made multiple technical breakthroughs in areas including active target identification and deep-sea reverberation suppression. He has published more than 10 high-level academic papers and filed over 10 invention patents.