Jiajie Li 🚀🚀🚀

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I am currently a third-year PhD student in CSE@UB. I am working under the supervision of Prof. Jinjun Xiong since 2022. My research focuses on 🤖 LLM & VLM, 🔪 Surgical AI and 🔓 Private Inference.

Experiences 👷🏼

• ♪ ByteDance, Intern Research Scientist/Engineer, 01/2025 - Present
• Ⓜ Motorola Solutions, Research Intern, 05/2023 - 08/2023
• 🐝 IBM Research, Hybrid Cloud Intern, 05/2022 - 08/2022

Education 🎓

• 🦬 University at Buffalo, Computer Science, PhD, 2023 Spring - Present
• 🦬 University at Buffalo, Computer Science, MS, 2020 Fall - 2022 Winter

Selected Publications 📄

• Jiajie Li, Brian R Quaranto, Chenhui Xu, Ishan Mishra, Ruiyang Qin, Dancheng Liu, Peter C W Kim, Jinjun Xiong, "Recognize Any Surgical Object: Unleashing the Power of Weakly-Supervised Data", ICLR 2025 (Spotlight, 5.1%)
• Yuhong Li, Jiajie Li, Cong Hao, Pan Li, Jinjun Xiong, Deming Chen, “Extensible and Efficient Proxy for Neural Architecture Search”, ICCV 2023
• Yuting Hu, Jiajie Li, Florian Klemme, Gi-Joon Nam, Tengfei Ma, Hussam Amrouch, Jinjun Xiong, "SyncTREE: fast timing analysis for integrated circuit design through a physics-informed tree-based graph neural network", NeurIPS 2023
• Simon Thomann, Rodion Novkin, Jiajie Li, Yuting Hu, Jinjun Xiong, Hussam Amrouch, "ML-TCAD: Accelerating FeFET Reliability Analysis Using Machine Learning", IEEE Transactions on Electron Devices, 2023

Selected Preprint 📜

• Jiajie Li, Garrett Skinner, Gene Yang, Brian R Quaranto, Steven D Schwaitzberg, Peter CW Kim, Jinjun Xiong, "LLaVA-Surg: towards multimodal surgical assistant via structured surgical video learning", arXiv 2024
• Jiajie Li, Jinjun Xiong, "xMLP: Revolutionizing Private Inference with Exclusive Square Activation", arXiv 2023

Professional Service 👨‍💻

• Reviewer of Conference on Computer Vision and Pattern Recognition (CVPR), 2025
• Reviewer of Conference on Computer Vision and Pattern Recognition (CVPR), 2024
• Reviewer of International Conference on Learning Representations (ICLR) , 2024
• Reviewer of Transactions on Neural Networks and Learning Systems (TNNLS), 2024