Accurate Fine-Grained Layout Analysis for the Historical Tibetan Document Based on the Instance Segmentation. - Penghai Zhao; Weilan Wang; Zhengqi Cai; Guowei Zhang; Yuqi Lu (IEEE Access, 2021)

Accurate Fine-grained Layout Analysis for the Historical Tibetan Document Based on the Instance Segmentation. - Penghai Zhao; Weilan Wang; Xiaojuan Wang; Zhengqi Cai; Guowei Zhang; Yuqi Lu (CoRR, 2021)

Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation? - Zheng Li 028; Yuxuan Li 004; Penghai Zhao; Renjie Song; Xiang Li 041; Jian Yang 003 (CoRR, 2023)

Alleviating pseudo-touching in attention U-Net-based binarization approach for the historical Tibetan document images. - Penghai Zhao; Weilan Wang; Guowei Zhang; Yuqi Lu (Neural Comput. Appl., 2023)

HUTNet: An Efficient Convolutional Neural Network for Handwritten Uchen Tibetan Character Recognition. - Guowei Zhang; Weilan Wang; Ce Zhang; Penghai Zhao; Mingkai Zhang (Big Data, 2023)

A Literature Review of Literature Reviews in Pattern Analysis and Machine Intelligence. - Penghai Zhao; Xin Zhang; Ming-Ming Cheng; Jian Yang 003; Xiang Li 041 (CoRR, 2024)

ATPrompt: Textual Prompt Learning with Embedded Attributes. - Zheng Li 028; Yibing Song; Penghai Zhao; Ming-Ming Cheng; Xiang Li 041; Jian Yang 003 (CoRR, 2024)

RiPAMI. - Penghai Zhao (IEEE DataPort, 2024)

From Words to Worth: Newborn Article Impact Prediction with LLM. - Penghai Zhao; Qinghua Xing; Kairan Dou; Jinyu Tian 006; Ying Tai; Jian Yang 003; Ming-Ming Cheng; Xiang Li 041 (AAAI, 2025)

A Vision for Auto Research with LLM Agents. - Chengwei Liu; Chong Wang 013; Jiayue Cao; Jingquan Ge; Kun Wang 042; Lvye Zhang; Ming-Ming Cheng; Penghai Zhao; Tianlin Li; Xiaojun Jia; Xiang Li 041; Xinfeng Li; et al. (CoRR, 2025)