郭鹏程，博士，博士毕业于西安交通大学软件工程学院（2021年9月- 2025年9月）。现为IEEE 会员，CCF 专业会员， 研究方向为数据挖掘，计算机视觉、半监督学习、广义类别发现。博士期间在加拿大The University of British Columbia (UBC) 和 Western University以联合培养博士研究生身份进行科研学习。在IJCAI、TKDE、TSCVT、IPM等数据挖掘、人工智能领域的国际顶级会议/期刊上发表论文多篇，同时担任多个顶级国际学术会议和期刊的审稿人，个人学术主页https://scholar.google.com/citations?hl=en&user=Y0JT6vkAAAAJ&view_op=list_works&sortby=pubdate

[1] Pengcheng Guo, Yonghong Song, Boyu Wang. “Towards Debiased Generalized Category Discovery," 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025. (CCF A类会议)

[2] Pengcheng Guo, Yonghong Song, Boyu Wang, Jiahao Liu, and Qi Zhang. “PLBR: A Semi-supervised Document Key Information Extraction via Pseudo-labeling Bias Rectification," IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024. (CCF A类期刊 IF=10.4)

[3] Pengcheng Guo, Yonghong Song,  Yongbiao Deng, Kangkang Xie, Mingjie Xu, Jiahao Liu, Haijun Ren. “DCMAI: A Dynamical Cross-Modal Alignment Interaction Framework for Document Key Information Extraction, ” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023. (中科院一区 TOP期刊  IF=11.1)

[4] Pengcheng Guo, Yonghong Song, Boyu Wang, Yankai Cao, Jiayang Ren, Chaojie Ji, Jiahao Liu, Qi Zhang, Qiangqiang Mao. “Class-missing Semi-supervised Document Key Information Extraction via Synergistic Refinement Estimation," Information Processing & Management, 2025. (中科院一区 TOP期刊 IF=6.9)

[5] Pengcheng Guo, Xiangdong Su, Haoran Zhang, Meng Wang, Feilong Bao. “A multi-scaled receptive field learning approach for medical image segmentation," 45th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020. (CCF B会议)

[6] Jiahao Liu, Pengcheng Guo, Yonghong Song, and Yangyang Hui. “NC-WAMKD: Neighborhood Correction Weight-Adaptive Multi-Teacher Knowledge Distillation for Graph-Based Semi-Supervised Node Classification," 48th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023. (CCF B类会议)

[7] Pengcheng Guo, Xiangdong Su, Haoran Zhang, Feilong Bao. “Mcdalnet: Multi-scale contextual dual attention learning network for medical image segmentation," International Joint Conference on Neural Networks (IJCNN) 2021. (CCF C会议)

[8] Qi Zhang, Yonghong Song, Pengcheng Guo, Yangyang Hui. “CRMSP: A Semi-supervised Approach for Key Information Extraction with Class-Rebalancing and Merged Semantic Pseudo-Labeling," Neurocomputing, 2024. (中科院二区TOP期刊 IF=5.5)

[9] Mingjie Xu, Yonghong Song, Kangkang Xie, Pengcheng Guo, Jiaxi Mu, Wen Liu and Zhengyang Wang. “Adaptive Sparse Self-attention for Object Detection," 2022 International Joint Conference on Neural Networks (IJCNN) 2022. (CCF C类会议)

[10] Huali Xu, Xiangdong Su, Tongyang Liu, Pengcheng Guo, Guanglai Gao, Feilong Bao. “A natural scene text extraction approach based on generative adversarial learning" Neural Information Processing: 26th International Conference, (ICONIP) 2019. (CCF C会议)

[11] Mao, Qiangqiang, Boris Yip, Chuanhao Xu, Sagar Garg, Pengcheng Guo, and Yankai Cao. "Visual process monitoring of biomass conversion reactors using transfer learning and generative AI." Computers & Chemical Engineering 205 (2026): 109464. (中科院二区期刊 IF=3.9)

无人驾驶环境感知智能的测试模型与可靠性评估(61973245)，国家自然科学基金，2020.01—2023.12  参与

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构建传统蒙古文知识图谱关键技术研究 (No. 61762069)，国家自然科学基金，2018.1-2021.12 参与