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

  • Vision: Autonomous driving navigation, indoor positioning, 3D generation.

  • Recommendation System: Sequential recommendation, long- and short-term prediction.

  • 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

  • 2025/5/5/24: One Paper was accepted in Displays(中科院二区|First Author).

  • 2025/4/5: Two Papers was accepted as Poster in Cogsci 2025(CCF-B|First Author).

  • 2024/12/30: "Mamba-MSCCA-Net: Efficient Change Detection for Remote Sensing Images" was in peer review in Displays(JCR Q1); Zichen Song, Sitan Huang, Zhongfeng Kang*.

  • 2024/12/17: "EM-MIAs: Enhancing Membership Inference Attacks in Large Language Models through Ensemble Modeling" was accepted by ICASSP 2025(CCF-B); Zichen Song, Sitan Huang, Zhongfeng Kang*.

  • 2024/11/5: "Pulse transfer learning: multi-area river ammonianitrogen prediction with limited data" has been accepted for Expert Systems With Applications(IF 7.5); Zichen Song*, Boying Nie, Sitan Huang.

  • 2024/10/11: "HSCL-RL: Mitigating Hallucinations in Multimodal Large Language Models" has been Accepted for NeurIPS OWA 2024; Zichen Song*, Sitan Huang.

  • 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 in Neural Networks(IF 6.5) Zichen Song, Shoujin Wang*, Songning Lai, Jiakang Li

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 Sitan: Undergraduate student in Computer Science at Lanzhou University.