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Bolin Shen

Ph.D. Student @ FSU

Email: [email protected]

Bio

I am a second-year Ph.D. student in Computer Science at Florida State University, where I am fortunate to work under the supervision of Prof. Yushun Dong. Before that, I completed my master’s degree at the University of Michigan – Ann Arbor.


My research mainly focus on strengthening Small Language Models (SLMs), especially by improving their memory mechanisms and reasoning abilities to achieve efficient yet powerful intelligence. In parallel, I investigate Graph Neural Networks (GNNs) with an emphasis on model extraction attacks and defenses mechanisms. Ultimately, my goal is to build secure, robust, and trustworthy machine learning systems that contribute to the broader vision of Responsible AI.

News

  • June.2026: Recipient of the KDD 2026 Student Travel Award.
  • May.2026: One paper accepted at KDD 2026.
  • May.2026: One paper accepted at ICML 2026.
  • Nov.2025: One paper accepted at AAAI 2026.
  • Oct.2025: One paper accepted at SIGSPATIAL 2025 SpatialConnect Workshop.
  • May.2025: One paper accepted at ICML 2025.
  • May.2025: One paper accepted at KDD 2025.
  • Jan.2025: Excited to begin a new journey as a Graduate Research Assistant at Florida State University!
  • Nov.2024: Successfully completed a three-month Research Engineer position at Singapore Management University under the guidance of Prof. Zhiguang Cao, having a valuable experience in Singapore!

Publications

AGDN: Learning to Solve Traveling Salesman Problem with Anisotropic Graph Diffusion Network

Bolin Shen, Ziwei Huang, Zhiguang Cao, Yushun Dong

CREDIT: Certified Ownership Verification of Deep Neural Networks Against Model Extraction Attacks

Bolin Shen, Zhan Cheng, Neil Zhenqiang Gong, Fan Yao, Yushun Dong

CITED: A Decision Boundary-Aware Signature for GNNs Towards Model Extraction Defense

Bolin Shen, Md Shamim Seraj, Zhan Cheng, Shayok Chakraborty, Yushun Dong

Query-Efficient Domain Knowledge Stealing Against Large Language Models

Zhengao Li, Xiaopeng Yuan, Bolin Shen, Kien Le, Haohan Wang, Xugui Zhou, Shangqian Gao, Yushun Dong

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses

Lincan Li, Bolin Shen, Chenxi Zhao, Yuxiang Sun, Kaixiang Zhao, Shirui Pan, Yushun Dong

Learning from the Storm: A Multivariate Machine Learning Approach to Predicting Hurricane-Induced Economic Losses

Bolin Shen, Eren Erman Ozguven, Yue Zhao, Guang Wang, Yiqun Xie, Yushun Dong

CEGA: A Cost-Effective Approach for Graph-Based Model Extraction Attacks

Zebin Wang, Menghan Lin, Bolin Shen, Ken Anderson, Molei Liu, Tianxi Cai, Yushun Dong

ATOM: A Framework of Detecting Query-Based Model Extraction Attacks for Graph Neural Networks

Zhan Cheng, Bolin Shen, Tianming Sha, Yuan Gao, Shibo Li, Yushun Dong

LLM-Empowered Patient-Provider Communication: A Data-Centric Survey from a Clinical Perspective

Ruosi Shao, Md Shamim Seraj, Lincan Li, Bolin Shen, Averi Bates, Yue Zhao, Chongle Pan, Lisa Hightow-Weidman, Shayok Chakraborty, Yushun Dong

Political-LLM: Large Language Models in Political Science

Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, Hongjia Yang, Chenxiao Yu, Zhengguang Wang, Jianing Cai, Junlong Aaron Zhou, Bolin Shen, Alex Qian, Weixin Chen, Zhongkai Xue, Lichao Sun, Lifang He, Hanjie Chen, Kaize Ding, Zijian Du, Fangzhou Mu, Jiaxin Pei, Jieyu Zhao, Swabha Swayamdipta, Willie Neiswanger, Hua Wei, Xiyang Hu, Shixiang Zhu, Tianlong Chen, Yingzhou Lu, Yang Shi, Lianhui Qin, Tianfan Fu, Zhengzhong Tu, Yuzhe Yang, Jaemin Yoo, Jiaheng Zhang, Ryan Rossi, Liang Zhan, Liang Zhao, Emilio Ferrara, Yan Liu, Furong Huang, Xiangliang Zhang, Lawrence Rothenberg, Shuiwang Ji, Philip S Yu, Yue Zhao, Yushun Dong

Misc

  • Tech Enthusiast, passionate about latest trends.
  • Tags: SFF builder, Homelab designer, LEGO fans, FPS gamer, Self-driving traveler, and more…
  • Always happy to connect!