Current second-year master's student at Shandong University, focusing on optimization algorithms for fluid-antenna systems. Published “Optimizing Fluid Antenna Configurations for Constructive Interference Precoding” at ICCC 2025.

Luteng Zhu received the B.S. degree from China University of Petroleum (East China) , Qingdao, China, in 2024. She is currently pursuing the M.S. degree with the School of Information Science and Engineering, Shandong University of China, Qingdao. Her research interests primarily focus on symbol-level precoding, quantum communication, and integrated sensing and communication. She has published a conference paper as the first author in IEEE GLOBECOM 2025.

Chenfei Huang is a second-year Ph.D. student at Academy of Mathematics and Systems Science, Chinese Academy of Sciences. His research focuses on optimization algorithms and applications in signal processing and wireless communications.

I am currently a second-year Ph.D. candidate at the Academy of Mathematics and Systems Science, Chinese Academy of Sciences. My research focuses on 3D field inversion, and I am actively exploring this area toward future publications.

I am a second-year master's student at the Academy of Mathematics and Systems Science, University of Chinese Academy of Sciences, with a primary research focus on quantitative identification and target recognition.

I’m a first-year Ph.D. student at the Academy of Mathematics and Systems Science, Chinese Academy of Sciences.My research focuses on finite horizon optimization and distributed algorithms.

My name is Zhao Mingrui, and I am currently a senior student majoring in Mathematics and Applied Mathematics at Northeast Normal University. During my time at the university, I have been awarded the National Scholarship and the honorary title of Outstanding Student Leader.

I'm Qiu Xinyao,a senior student majoring in Mathematics and Applied Mathematics at NENU.I'm scheduled to enter the AMSS in September 2026 with research directions in optimization and communication detection. During my undergraduate studies, I ranked first in my major and won the provincial first prize in the CUMCM for the project “Crop Planting Optimization Model Based on Particle Swarm Algorithm”. I also received a provincial silver award for the “Challenge Cup” project “Wise Sift - Intelligent Trash Can Design Based on Convolutional Neural Network” and the first prize in the CMC.

Mingye Ge currently pursuing a master's degree at the University of Electronic Science and Technology of China. His research interests mainly focus on quantized signal recovery and the application of machine learning in optimization problems.

Yihong Gao received the B.S. degree from Xidian University, Xi'an, China, in 2022 and the M.S. degree from The University of Hong Kong (HKU), in 2025. He is currently pursuing the Ph.D. degree with the Department of Electrical and Electronic Engineering, The University of Hong Kong. His research interests include: signal processing, wireless communication and machine learning.

I am a year three undergraduate student at Chongxin College, Shandong University. My research primarily focuses on Machine Learning and Optimization. Up to now, I have been involved in research work related to the following papers: Parameter Estimation from Aggregated Max-Min-Mean Measurements in Sensor Networks and Sparse Matrix Recovery from Ternary-Quantized Sketching.

I am a 2023 undergraduate student at Shandong University, focusing on Robust Quantized Linear Regression.

I am an undergraduate student at the Shandong University Qingdao Campus, currently in my third year. I am actively engaged in research focused on Sensing from Phase-Quantized Measurements, exploring innovative approaches in signal processing and data acquisition.

I am currently a junior undergraduate student at Shandong University, majoring in Communication Engineering. Under the supervision of Shao, I am actively engaged in research focused on signal processing and machine learning. While I have not yet published academic papers, I am actively accumulating research experience and aiming to contribute to publications in the future.