杨亚明，博士，副教授，硕士研究生导师。主要研究方向是图数据的表示学习与知识挖掘技术，获得陕西省自然科学一等奖，西安电子科技大学优秀博士学位论文。主持国家自然科学基金青年项目、陕西省重点研发计划项目等。在IEEE TKDE、NeurIPS、ACM SIGKDD、IEEE ICDE、AAAI等CCF A类期刊/会议发表学术论文，其中两篇一作IEEE TKDE论文入选ESI高被引论文，相关研究成果应用于阿里巴巴旗下的淘宝广告搜索平台。长期担任IEEE TPAMI、IEEE TKDE、NeurIPS、ICML、AAAI、ACM SIGKDD、ACM SIGIR、ACM WWW、ACM MM等CCF A类期刊/会议的审稿人。

• 论文成果

1. Yaming Yang, Ziyu Zheng, Weigang Lu, Zhe Wang, Xinyan Huang, Wei Zhao, Ziyu Guan, Defining and Discovering Hyper-meta-paths for Heterogeneous Hypergraphs, Advances in Neural Information Processing Systems (NeurIPS, CCF A类会议), 2025.

2. Yaming Yang, Zhe Wang, Ziyu Guan, Wei Zhao, Xinyan Huang, Xiaofei He, Unsupervised Entity Alignment Based on Personalized Discriminative Rooted Tree, IEEE Transactions on Knowledge and Data Engineering (TKDE, CCF A类期刊, 中科院1区期刊), 2025.

3. Zhe Wang, Yaming Yang, Ziyu Guan, Bin Tong, Rui Wang, Wei Zhao, Hongbo Deng, Dynamic Network-Based Two-Stage Time Series Forecasting for Affiliate Marketing, The 34th ACM International Conference on Information and Knowledge Management (CIKM, CCF B类会议), 2025.

4. Zhe Wang, Ziyu Guan, Yujian Cao, Yaming Yang, Rui Wang, Bin Tong, Wei Zhao, Hongbo Deng, Audience-Aware and Self-Adaptive Multi-Interest Modeling for Sharing Rate Prediction in Affiliate Marketing, The 34th ACM International Conference on Information and Knowledge Management (CIKM, CCF B类会议), 2025.

5. Ziyu Zheng, Yaming Yang, Ziyu Guan, Wei Zhao, Weigang Lu, Enhancing Homophily-Heterophily Separation: Relation-Aware Learning in Heterogeneous Graphs, The 31st SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD, CCF A类会议), 2025.

6. Ziyu Zheng, Yaming Yang, Ziyu Guan, Wei Zhao, Weigang Lu, Discrepancy-Aware Graph Mask Auto-Encoder, The 31st SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD, CCF A类会议), 2025.

7. Yaming Yang, Zhuofeng Luo, Zhe Wang, Weigang Lu, Yiheng Lu, Ziyu Guan, Wei Zhao, Yuanhai Lv, A Translation-based Heterogeneous Graph Neural Network for Multiple Knowledge Graphs Alignment, The 41st IEEE International Conference on Data Engineering (ICDE, CCF A类会议), 2025.

8. Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yibing Zhan, Yiheng Lu, Dapeng Tao, AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification, The 39th Annual AAAI Conference on Artificial Intelligence (AAAI, CCF A类会议), 2025.

9. Liyun Yu, Ziyu Guan, Wei Zhao, Yaming Yang, Jiale Tan, Adaptive Task-Aware Refining Network for Few-Shot Fine-Grained Image Classification, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT, 中科院1区期刊), 2025

10. Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation, The 30th SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD, CCF A类会议), 2024.

11. Weigang Lu, Yibing Zhan, Binbin Lin, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao, SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks, IEEE Transactions on Knowledge and Data Engineering (TKDE, CCF A类期刊, 中科院1区期刊), 2024.

12. Guochen Ma, Xiaopeng Jiao, Jianjun Mu, Hui Han, Yaming Yang, Deep Learning-Based Detection for Marker Codes over Insertion and Deletion Channels, IEEE Transactions on Communications (TCOM, CCF B类期刊, 中科院2区期刊), 2024.

13. Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Long Jin, NodeMixup: Tackling Under-Reaching for Graph Neural Networks, The 38th Annual AAAI Conference on Artificial Intelligence (AAAI, CCF A类会议), 2024.

14. Yiheng Lu, Ziyu Guan, Yaming Yang, Wei Zhao, Maoguo Gong, Cai Xu, Entropy Induced Pruning Framework for Convolutional Neural Networks, The 38th Annual AAAI Conference on Artificial Intelligence (AAAI, CCF A类会议), 2024.

15. Cai Xu, Wei Zhao, Jinglong Zhao, Ziyu Guan, Yaming Yang, Long Chen, Xiangyu Song, Progressive Deep Multi-view Comprehensive Representation Learning, The 37th Annual AAAI Conference on Artificial Intelligence (AAAI, CCF A类会议), 2023.

16. Yaming Yang, Ziyu Guan, Wei Zhao, Weigang Lu, Bo Zong, Graph Substructure Assembling Network with Soft Sequence and Context Attention, IEEE Transactions on Knowledge and Data Engineering (TKDE, ESI热点, ESI高被引, CCF A类期刊, 中科院1区期刊), 2023.

17. Yaming Yang, Ziyu Guan, Jianxin Li, Wei Zhao, Jiangtao Cui, Quan Wang, Interpretable and Efficient Heterogeneous Graph Convolutional Network, IEEE Transactions on Knowledge and Data Engineering (TKDE, ESI高被引, CCF A类期刊, 中科院1区期刊), 2023.

18. Yaming Yang, Ziyu Guan, Zhe Wang, Wei Zhao, Cai Xu, Weigang Lu, Self-supervised Heterogeneous Graph Pre-training based on Structural Clustering, Advances in Neural Information Processing Systems (NeurIPS, CCF A类会议), 2022.

• 科研项目

1. 国家自然科学基金青年项目，2024，主持

2. 陕西省重点研发计划项目，2025，主持

• 荣誉奖励

1. 陕西省自然科学一等奖，2024

2. 西安电子科技大学优秀博士学位论文，2025

• 课程教学

1. 本科生课程《线性代数》，通识教育基础课，48学时/学年

2. 本科生课程《班级指导》，计科2303012班班主任，16学时/学期