Extensible Proxy for Efficient NAS. - Yuhong Li; Jiajie Li 002; Cong Han; Pan Li 005; Jinjun Xiong; Deming Chen (CoRR, 2022)

Extensible and Efficient Proxy for Neural Architecture Search. - Yuhong Li; Jiajie Li 002; Cong Hao; Pan Li 005; Jinjun Xiong; Deming Chen (ICCV, 2023)

SyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural Network. - Yuting Hu; Jiajie Li 002; Florian Klemme; Gi-Joon Nam; Tengfei Ma 001; Hussam Amrouch; Jinjun Xiong (NeurIPS, 2023)

Image Harmonization with Diffusion Model. - Jiajie Li 002; Jian Wang; Chen Wang; Jinjun Xiong (CoRR, 2023)

xMLP: Revolutionizing Private Inference with Exclusive Square Activation. - Jiajie Li 002; Jinjun Xiong (CoRR, 2024)

Large Language Models have Intrinsic Self-Correction Ability. - Dancheng Liu; Amir Nassereldine; Ziming Yang; Chenhui Xu; Yuting Hu; Jiajie Li 002; Utkarsh Kumar; Changjae Lee; Jinjun Xiong (CoRR, 2024)

LLaVA-Surg: Towards Multimodal Surgical Assistant via Structured Surgical Video Learning. - Jiajie Li 002; Garrett Skinner; Gene Yang; Brian R. Quaranto; Steven D. Schwaitzberg; Peter C. W. Kim; Jinjun Xiong (CoRR, 2024)

Recognize Any Surgical Object: Unleashing the Power of Weakly-Supervised Data. - Jiajie Li 002; Brian R. Quaranto; Chenhui Xu; Ishan Mishra; Ruiyang Qin; Dancheng Liu; Peter C. W. Kim; Jinjun Xiong (ICLR, 2025)

Sub-Sequential Physics-Informed Learning with State Space Model. - Chenhui Xu; Dancheng Liu; Yuting Hu; Jiajie Li 002; Ruiyang Qin; Qingxiao Zheng; Jinjun Xiong (CoRR, 2025)

Towards Understanding Multi-Round Large Language Model Reasoning: Approximability, Learnability and Generalizability. - Chenhui Xu; Dancheng Liu; Jiajie Li 002; Amir Nassereldine; Zhaohui Li; Jinjun Xiong (CoRR, 2025)