杨锦发
个人简介：杨锦发，2024年加入福建省网络计算与智能信息处理重点实验室。研究兴趣包括知识图谱、数据挖掘、人工智能、机器学习等。曾在ACL、EMNLP、COLING、AAAI、ESWC等CCF会议/期刊上发表了多篇学术论文，同时也是ACL、AAAI、CVPR、NN等国际权威期刊/会议的审稿人。
教育背景
2020.9-2024.1 博士 北京大学 导师英向华
2017.9-2020.7 硕士 北京大学 导师赵红颖
2013.8-2017.7 学士 北京理工大学
联系邮箱：jinfayang@pku.edu.cn or jinfayang@fzu.edu.cn
科研成果：
期刊论文：
1. Yang Jinfa, Ying Xianghua, Shi Yongjie, Wang Ruibin, Chen Taiyan and Xing Bowei. Tensor Decompositions for Temporal Knowledge Graph Completion with Time Perspective[J]. Expert Systems With Applications(ESWA). 2023: 121267
2. Yang Jinfa, Ying Xianghua, Chen Taiyan. Employing Latent Categories of Entities for Knowledge Graph Embeddings with Contrastive Learning[J]. IEEE Robotics and Automation Letters(RA-L), 2023, 8(6): 3390-3397
3. Shi Boxin, Yang Jinfa, Chen Jinwei, Zhang Ruihua and Chen Rui. Recent Progress in Shape from Polarization[J]. Advances in Photometric 3D-Reconstruction, 2020: 177-203
4. 杨锦发, 晏磊, 赵红颖, 陈瑞, 张瑞华, 施柏鑫. 融合粗糙深度信息的低纹理物体偏振三维重建[J]. 红外与毫米波学报, 2019, 38(06): 819-827
5. Wang Ruibin, Ying Xianghua, Xing Bowei, Tong Xin, Chen Taiyan, Yang Jinfa and Shi Yongjie. Improving point cloud classification and segmentation via parametric veronese mapping[J]. Pattern Recognition (PR), 2023, 144: 109784
6. Shi Yongjie, Ying Xianghua, Yang Jinfa. Deep Unsupervised Domain Adaptation with Time Series Sensor Data: A Survey[J]. Sensors, 2022, 22(15): 5507
7. 张瑞华, 施柏鑫, 杨锦发, 赵红颖, 左正康. 基于视差角和天顶角优化的偏振多视角三维重建[J]. 红外与毫米波学报, 2021, 40(01): 133-142
会议论文：
1. Yang Jinfa, Ying Xianghua, Shi Yongjie, Tong Xin, Wang Ruibin, Chen Taiyan and Xing Bowei. Learning Hierarchy-Aware Quaternion Knowledge Graph Embeddings with Representing Relations as 3D Rotations[C]. International Conference on Computational Linguistics(COLING). 2022
2. Yang Jinfa, Ying Xianghua, Shi Yongjie, Tong Xin Wang Ruibin, Chen Taiyan and Xing Bowei. Knowledge Graph Embedding by Adaptive Limit Scoring Loss Using Dynamic Weighting Strategy[C]. Annual Meeting of the Association for Computational Linguistics(ACL). 2022: 1153-1163
3. Yang Jinfa, Shi Yongjie, Tong Xin, Wang Ruibin, Chen Taiyan and Ying Xianghua. Improving Knowledge Graph Embedding Using Affine Transformations of Entities Corresponding to Each Relation[C]. Conference on Empirical Methods in Natural Language Processing(EMNLP). 2021: 508-517
4. Wang Ruibin, Ying Xianghua, Xing Bowei and Yang Jinfa. ECO-3D: equivariant contrastive learning for pre-training on perturbed 3D point cloud[C]. AAAI Conference on Artificial Intelligence (AAAI), 2023, 37(2): 2626-2634
5. Xing Bowei, Ying Xianghua, Wang Ruibin, Yang Jinfa and Chen Taiyan. Cross-modal contrastive learning for domain adaptation in 3D semantic segmentation[C]. AAAI Conference on Artificial Intelligence (AAAI), 2023, 37(3): 2974-2982
6. Tong Xin, Ying Xianghua, Shi Yongjie, Wang Ruibin and Yang Jinfa. Transformer Based Line Segment Classifier With Image Context for Real-Time Vanishing Point Detection in Manhattan World[C]. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022: 6093-6102
7. Ba Yunhao, Gilbert Alex, Wang Franklin, Yang Jinfa, Chen Rui, Wang Yiqin, Yan Lei, Shi Boxin and Kadambi, Achuta. Deep shape from polarization[C]. European Conference on Computer Vision(ECCV). 2020: 554-571
专利：
1. 英向华, 杨锦发, 石永杰, 郭若皓, 王睿彬, 陈泰言, 邢博威. 复杂装备实体层级分布的四元数知识图谱链接预测方法, 2022, 专利受理号: 202211235369.1
2. 英向华，石永杰，杨锦发，佟新，王睿彬，陈泰言，邢博威. 凸面镜反射图像的生成、语义分割方法及装置. 2022, 专利受理号: 202210167587.X.
3. 英向华, 郭若皓, 杨锦发. 基于多源信息融合、热红外和三维深度图的目标检测方法. 2022, 专利受理号: 202211254518.9.
4. 英向华, 邢博威, 王睿彬, 杨锦发, 陈泰言. 基于多源异构数据融合的三维场景分割域迁移方法及装置. 2023, 专利受理号: 202310092486.5.
软件著作权：
1. 基于知识图谱嵌入的多模态异构数据补全软件V1.0. 2022, 软著登记号: 2022SR0662085
2. 基于复杂装备异构数据的关系标注和自动抽取软件V1.0. 2022, 软著登记号: 2022SR1428847
