• RA for SZU

    • RA for UTS

    • Reviewer for AAI(JCR-Q2)

    • Reviewer for MDPI-Sensors(JCR-Q1)

    • Reviewer for MDPI-Mathmatical(JCR-Q1)

    Personal Introduction

    I am from Huaibei, Anhui Province, China. I am currently studying Computer Science and Technology at Lanzhou University. I have participated in competitions such as MCM, ICM, and Kaggle, and have achieved good results. I have previously done remote internships at Southern University of Science and Technology and the University of Technology Sydney (UTS), and I am currently working as a research assistant at Shenzhen University. My main research focus is on large models, and I am exploring the application of LLMs in Science.

    Research Area

    • DL: Pruning of deep neural networks, deep spiking neural networks

    • Security: Membership Inference Attacks (MIAs), Data Theft Attacks on Large Language Models

    • Brain-inspired Science: Deep Spiking Neural Networks (SNNs)

    • Large Language Models: Optimization of Multimodal Large Language Models, Open-world Multi-agent Systems

    • Medical AI: Pediatric Imaging Recognition, Vertical Medical Large Models

    News

    • 2024/8/14: We submitted a letter to the NeurIPS 2024 OWA Workshop.

    • 2024/8/13: "PointMIM: Mutual Information Mamba-Based Low-Overlap Point Cloud Registration" has been submitted to ICRA-25 Main Track; Zichen Song, Jiakang Li, Yongxin Ni*.

    • 2024/8/12: "CCSRP: Robust Pruning of Spiking Neural Networks through Cooperative Coevolution" has been revised for Swarm and Evolutionary Computation (IF 8.2); Zichen Song*, Sitan Huang, Jiakang Li.

    • 2024/8/8: "Do Large Language Models Work on Compositional Concept Learning" has been submitted to AAAI-25 Main Track; Zichen Song*, Sitan Huang.

    • 2024/8/4: "Structured Pruning Strategy Based on Interpretable Machine Learning" has been published in ICCEA-2024; Ziqi Li, Zichen Song*.

    • 2024/7/13: "Robustness Boost: MIR-Based Feature Enhancement in Deep Learning Models" has been published in CSCWD-2024; Zichen Song*, Shan Ma, Weijia Li.

    • 2024/5/18："Unveiling Privacy Risks in Spiking Neural Networks: A Study on Membership Inference Attacks" Under Review Neural Networks(IF 6.5) Zichen Song, Shoujin Wang*, Songning Lai, Jiakang Li

    • 2024/3/21："Pulse transfer learning: multi-area river ammonia nitro gen prediction with limited data" Under Review Expert Systems With Applications(IF 7.5); Zichen Song*, Boying Nie, Sitan Huang.

    I am currently seeking Ph.D. opportunities for Fall 2025 admission. I am open to partially funded Ph.D. positions and have a keen interest in AI for Science. If you are interested in my profile, please feel free to contact me via email or add me on WeChat: wse135246.

    Partner

    • Wang Shoujing: Senior Lecturer at UTS, researcher in the field of recommender systems.

    • Li Jiakang: Ph.D. in Computer Science from Rutgers University.

    • Lai Songning: Ph.D. in Computer Science from Hong Kong University of Science and Technology (Guangzhou Campus).

    • Huang Sitian: Undergraduate student in Computer Science at Lanzhou University.