郑香平，博士，准聘副教授，硕士生导师。近年来，主要围绕图数据挖掘、图异常检测、推荐系统等人工智能领域从事科研工作。参与国家自然科学基金面上项目2项，在国内外高水平期刊和会议公开发表CCF A/B论文30余篇（如 WWW、SIGIR、AAAI、TKDD、SDM、COLING、DASFAA、计算机学报等），授权专利2项，软件著作权2项。并多次受邀担任领域内多个顶刊顶会审稿人，包括TKDE、AAAI、ACM Multimedia、CIKM、DASFAA、ICMR、ECML-PKDD等。
本/硕招生：每年计划招收硕士研究生5人，同时也欢迎优秀的高年级本科生加入课题组，要求对图数据挖掘、计算机视觉、推荐系统等领域方向有浓厚的兴趣，且熟练掌握C++/python/java中至少一种程序语言（注：有ACM程序设计竞赛背景优先考虑）与算法和数据结构、深度学习框架。有意加入本课题组的学生请将简历发送至：xpzheng@hrbeu.edu.cn。
招收专业：计算机科学与技术（学硕）；电子信息（专硕）。欢迎今年调剂青岛校区电子信息01,02方向的计算机相关专业加入我的课题组。我们的课题组氛围和谐，快乐科研，自由交流。
研究方向：图数据挖掘、大数据分析、自然语言处理、推荐系统等人工智能领域。
承担项目：
【1】大数据驱动的社交网络舆情主题图谱构建及调控策略研究，国家社会科学基金重大项目，编码：18ZDA309，60万，参与
【2】基于社会网络计算的企业舆情管新方法，国家自然科学基金重点项目，编码：71531012，200万，参与
【3】面向大规模复杂异质动态图表示学习，国家自然科学基金面上项目，编码：62072463，56万，参与
【4】主动学习式群智感知任务分配方法研究，国家自然科学基金面上项目，编码：61772136，63万，参与
【5】人工智能与mRNA碰撞——公共卫生管理引来新态势，中国人民大学种子基金重点项目，10万，参与
【6】图结构优化表示学习的关键技术研究，哈尔滨工程大学计算机科学与技术学院“英才计划”，10万，主持
【7】复杂图网络的优化处理与高效表示机制研究，中央高校基本科研业务项目，10万，主持
授权专利：
[1] An image recognition method and system based on capsule parameter optimization. ZL202110489172.X Authorized
[2] A power load forecasting method based on sparse representation. ZL201810304089.9 Authorized
软件著作权：
[1] Zheng Xiangping, Liang Xun, Feng Zihuan, Wu Bo. Graph capsule network prediction system based on attention adaptive mechanism. 2022SR0438949, 2022.2.5.
[2] Zheng Xiangping, Liang Xun, Feng Zihuan, Wu Bo. Contrastive learning prediction system based on adaptive data selection of reinforcement learning mechanism. 2022SR0438805, 2022.2.23.
[3] Zheng Xiangping, Liang Xun, Wang Shimin, Feng Zihuan. Human Action Recognition Network System Based on Spatiotemporal Capsule. 2021SR0824698, 2021.2.1.
论文节选：
2024 ：
[1] Xiangping Zheng, Bo Wu*, Xun Liang, Wei Li. Friend or Foe? Mining Suspicious Behavior via Graph Capsule Infomax Detector against Fraudsters. International World Wide Web Conference, WWW, 2024: 2684-2693. (Oral, CCF A)
[2] Xiangping Zheng, Xiuxin Hao, Bo Wu, Xigang Bao, Xuan Zhang, Wei Li, Xun Liang. A Sample-driven Selection Framework: Towards Graph Contrastive Networks with Reinforcement Learning, ACM International Conference on Multimedia, ACM Multimedia, 2024: 3274-3283. (CCF A)
[3] Xiangping Zheng, Bo Wu*, Alex X, Wei Li. Hypergraph-Based Session Modeling: A Multi-Collaborative Self-Supervised Approach for Enhanced Recommender Systems. International Conference on Computational Linguistics, COLING, 2024: 8493-8504. (CCF B)
[4] Xiangping Zheng, Bo Wu*, Alex X, Wei Li. Improving Robustness of GNN-based Anomaly Detection by Graph Adversarial Training. International Conference on Computational Linguistics, COLING, 2024: 8902-8912. (CCF B)
2023：
[1] Xiangping Zheng, Xun Liang*, Bo Wu. Exploiting High-Order Interaction Relations to Explore User Intent. AAAI Conference on Artificial Intelligence, AAAI: 2023:16388-16389. (CCF A)
[2] Xiangping Zheng, Xun Liang*, Bo Wu, Jun Wang, Yuhui Guo, Sensen Zhang, Yuefeng Ma. Modeling High-order Relation to Explore User Intent with Parallel Collaboration Views. International Conference on Database Systems for Advanced Applications, DASFAA, 2023:489-504. (CCF B)
[3] Xiangping Zheng, Xun Liang*, Bo Wu, Jun Wang, Yuhui Guo, Xuan Zhang, Yuefeng Ma. A Multi-scale Interaction Motion Network for Action Recognition Based on Capsule Network. SIAM International Conference on Data Mining, SDM, 2023:505-513. (CCF B)
[4] Xiangping Zheng, Xun Liang*, Bo Wu. Select the Best: Enhancing Graph Representation with Adaptive Negative Sample Selection. IEEE International Conference on Acoustics, Speech and SP, ICASSP, 2023: 256-266. (CCF B)
[5] Xiangping Zheng, Xun Liang*, Bo Wu, Junlan Feng, Yuhui Guo. Intent Does Matter Propagating High-order Relations for Exploring Interest Preferences. IEEE International Conference on Acoustics, Speech and SP, ICASSP, 2023: 1285-1295. (CCF B)
2022：
[1] 郑香平，梁循*，基于剪枝优化的深层胶囊网络[J]，计算机学报，2022, 45(7): pp:1557-1570. (中文 CCF A)
[2] Xiangping Zheng, Xun Liang*, Bo Wu, Yuhui Guo, Xuan Zhang. Graph Capsule Network with a Dual Adaptive Mechanism. International ACM SIGIR Research and Development in Information Retrieval, SIGIR, 2022: 1859-1864. (CCF A)
[3] Xiangping Zheng, Xun Liang*, Bo Wu. Capsule Graph Network for Multi-Label Image Recognition. AAAI Conference on Artificial Intelligence, AAAI, 2022:13117-13118. (CCF A)
[4] Xiangping Zheng, Xun Liang*, Bo Wu, Yuhui Guo, Hui Tang. Adaptive attention graph capsule network. IEEE International Conference on Acoustics, Speech and SP, ICASSP, 2022: 3588–3592. (CCF B)