400 Gbps energy-efficient multi-field packet classification on FPGA. - Shijie Zhou 001; Sihan Zhao; Viktor K. Prasanna (ReConFig, 2014)

A global surrogate model technique based on principal component analysis and Kriging for uncertainty propagation of dynamic systems. - Yushan Liu; Luyi Li; Sihan Zhao; Shufang Song (Reliab. Eng. Syst. Saf., 2021)

Development of a Hybrid Vision Sensor and Its Application in Robotic Welding. - Yunkai Ma; Junfeng Fan; Zhen Zhou 005; Sihan Zhao; Fengshui Jing; Min Tan 001 (CASE, 2023)

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs. - Yujia Qin; Shihao Liang; Yining Ye; Kunlun Zhu; Lan Yan; Yaxi Lu; Yankai Lin; Xin Cong; Xiangru Tang; Bill Qian; Sihan Zhao; Runchu Tian; et al. (CoRR, 2023)

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs. - Yujia Qin; Shihao Liang; Yining Ye; Kunlun Zhu; Lan Yan; Yaxi Lu; Yankai Lin; Xin Cong; Xiangru Tang; Bill Qian; Sihan Zhao; Lauren Hong; et al. (ICLR, 2024)

Completely Occluded and Dense Object Instance Segmentation Using Box Prompt-Based Segmentation Foundation Models. - Zhen Zhou 005; Junfeng Fan; Yunkai Ma; Sihan Zhao; Fengshui Jing; Min Tan 001 (CoRR, 2024)

DeepKP: A Robust and Accurate Framework for Weld Seam Keypoint Extraction in Welding Robots. - Sihan Zhao; Yunkai Ma; Junfeng Fan; Zhen Zhou 005; Hongliang Wang; Fengshui Jing; Min Tan 001 (IEEE Trans. Instrum. Meas., 2024)

WeldNet: A deep learning based method for weld seam type identification and initial point guidance. - Yunkai Ma; Junfeng Fan; Zhen Zhou 005; Sihan Zhao; Fengshui Jing; Min Tan 001 (Expert Syst. Appl., 2024)

From Model to Reality: A Robust Framework for Automatic Generation of Welding Paths. - Yunkai Ma; Junfeng Fan; Sihan Zhao; Fengshui Jing; Shuo Wang 001; Min Tan 001 (IEEE Trans. Ind. Electron., 2024)

An image inpainting model based on channel attention gated convolution and multi-level attention mechanism. - Sihan Zhao; Chunmeng Li; Chenyang Zhang; Xiaozhong Yang (Displays, 2025)

PP-Motion: Physical-Perceptual Fidelity Evaluation for Human Motion Generation. - Sihan Zhao; Zixuan Wang; Tianyu Luan; Jia Jia 001; Wentao Zhu; Jiebo Luo 001; Junsong Yuan 001; Nan Xi (CoRR, 2025)