个人信息张恒汝男九三学社社员博士教授博士生导师机器学习研究中心副主任四川省学术和技术带头人后备人选中国科协科技人才奖项评审专家四川省网络安全与信息化技术专家库成员CCF、ACM会员CAAI粒计算与知识发现专委会委员西南石油大学网络空间安全专业负责人西南石油大学大学生创新创业导师。主要从事人工智能及其安全相关科研工作如推荐系统、人工智能安全、低空技术与工程、能源与人工智能等。主持和参与国家自然科学基金、国家科技重大专项、四川省科技厅项目、四川省教育厅重点项目等科研项目10余项。在PR、TNSM、KBS、ESWA、INS、FCGS、智能系统学报、模式识别与人工智能等专业高水平期刊上发表论文80余篇高被引论文2篇Google学术引用过百论文3篇。授权发明专利6项。学院内主页参见https://www.swpu.edu.cn/scs/info/1168/4773.htmORCID 主页参见https://orcid.org/0000-0001-9187-9847Google 学术主页参见https://scholar.google.com/citations?hlzh-CNuserW5rV-agAAAAJCSDN 博客参见https://blog.csdn.net/search_129_hrEMAILzhanghrswpu163.com科研团队机器学习研究中心http://fansmale.com/1 主要项目[1] 深井固井设计与分析软件开发 国家科技重大专项[2] 高密度地震数据的初至波自动拾取方法研究 国家自然科学基金[3] 基于粒计算的抽油机参数优化方法研究 四川省科技厅面上项目[4] 面向深度学习模型的黑盒对抗攻击方法研究 四川省科技厅面上项目[5] 多粒度视角下的油气田*** 南充市科技局[6] 基于代价敏感粗糙集的油田*** 四川省教育厅2 学术论文 (*标记为通讯作者)2026年度[1] Yuan-Yuan Xu, Hui Xiao,Heng-Ru Zhang*, et al. Neural recommendation by user-item-user and item-user-item relation modeling. Pattern Recognition (2026): 112104, https://doi.org/10.1016/j.patcog.2025.112104.[2] Bao-Tong Wu,Yuan-Yuan Xu*, Heng-Ru Zhang, et al. FedAspect-GNN: Integrating Aspect-level Sentiment Analysis and Graph Neural Networks for Federated Recommendation. Expert Systems with Applications, 2026: 130529, https://doi.org/10.1016/j.eswa.2025.130529.[3] Xing Long,Heng-Ru Zhang*, Yuan-Yuan Xu, et al. Beyond the latest: Correcting Release Interval Bias in short-video recommendation. Knowledge-Based Systems, 2026: 116486, https://doi.org/10.1016/j.knosys.2026.116486.2025年度[1]Heng-Ru Zhang*, Rui Chen, Shi-Huai Wen, Xiao-Qiang Bian. SWIM: Sliding-Window Model contrast for federated learning. Future Generation Computer Systems, 164 (2025): 107590.[2]Heng-Ru Zhang*, Lin Ling, and Min Fan. Aspect-level recommendation fused with review and rating representations. Data Knowledge Engineering (2025): 102417.[3] Jun Fan,Heng-Ru Zhang*, and Fan Min. Learning cluster-wise label distribution for label enhancement. International Journal of Machine Learning and Cybernetics (2025): 1-13.[4] Yuan-Yuan Xu, Hui Xiao,Heng-Ru Zhang, Xi-Zhao Wang, Hong Yu, and Fan Min. A Seagull Loss Function With Application to Recommender Systems. IEEE Transactions on Computational Social Systems (2025).[5]Heng-Ru Zhang*, Ke-Xiong Wang, Xiang-Yu Liang, Yi-Fan Yu. DUPS: Data poisoning attacks with uncertain sample selection for federated learning. Computer Networks 256 (2025): 110909.[6] 彭子峰,张恒汝*,徐媛媛,等.基于用户评分习惯的无趣项识别及协同过滤方法[J].南京大学学报(自然科学),2025,61(02):261-269.DOI:10.13232/j.cnki.jnju.2025.02.007.[7] Gui-Hong Li,Heng-Ru Zhang*, and Fan Min. Frequency-domain augmentation and multi-scale feature alignment for improving transferability of adversarial examples. Computer Networks (2025): 111261.[8]Heng-Ru Zhang*, Xin-Yu Liu, et al. Classification-wise and cluster-wise contrastive learning for graph neural recommendation. Applied Soft Computing (2025): 113701.[9] Gui-Lin Li and Ruili Wu and Xiaorui Qian and Qiang Zhu andHeng-Ru Zhang*. LIP-MC: Multi-Constraint Label Independent Prediction in label distribution learning. Engineering Applications of Artificial Intelligence 162 (2025): 112493.2024年度[1] Xin Jiang,Heng-Ru Zhang*, and Yao Zhou. Multi-granularity abnormal traffic detection based on multi-instance learning. IEEE Transactions on Network and Service Management (2024).[2] Zi-Feng Peng,Heng-Ru Zhang* , and Fan Min. IUG-CF: Neural collaborative filtering with ideal user group labels. Expert Systems with Applications 238 (2024): 121887.[3] Xiang-Yu Liang,Heng-Ru Zhang*, Wei Tang and Fan Min. Robust federated learning with voting and scaling. Future Generation Computer Systems 153 (2024): 113-124.[4]Heng-Ru Zhang*, Peng-Cheng Li, et al. Exploiting Asymmetric Influence between Instances for Label Enhancement. Information Sciences (2024): 120954.[5] Yuan-Yuan Xu, Hui Xiao,Heng-Ru Zhang*, et al. Matrix factorization with a sigmoid-like loss control. Neurocomputing 576 (2024): 127338.[6] 樊俊,张恒汝*,余一帆,等.面向非均匀分布数据的代价敏感标记分布学习[J].西南大学学报(自然科学版),2024,46(05):40-50.DOI:10.13718/j.cnki.xdzk.2024.05.004.[7] 陈攀,张恒汝*,闵帆.高效联邦学习范数加权聚合算法[J].计算机应用研究,2024,41(03):694-699.DOI:10.19734/j.issn.1001-3695.2023.07.0327.2023年度[1]Heng-Ru Zhang*, Ying Qiu, Ke-Lin Zhu, Fan Min, Lower bound estimation of recommendation error through user uncertainty modeling, Pattern Recognition 136 (2023): 109171.[2] Gui-Lin Li,Heng-Ru Zhang*, Fan Min, et al. Two-stage label distribution learning with label-independent prediction based on label-specific features. Knowledge-Based Systems, 2023, 267: 110426.[3] Bai, Run-Ting,Heng-Ru Zhang*, and Fan Min. Label-dependent feature exploration for label distribution learning. International Journal of Machine Learning and Cybernetics (2023): 1-20.[4] Yan-Wen Xiong,Heng-Ru Zhang, Fan Min, Peng-Cheng Li. Sample Topology Exploration for Label Distribution Learning. In 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA) (pp. 1-9). IEEE2023, October (数据科学与高级分析国际会议, 会议地址希腊塞萨洛尼基).[5]Heng-Ru Zhang*, Run-Ting Bai, and Wen-Tao Tang. Label Distribution Learning with Discriminative Instance Mapping. Pacific-Asia Conference on Knowledge Discovery and Data Mining. Cham: Springer Nature Switzerland, 2023 (亚太知识发现和数据挖掘会议会议地址日本大阪).[6] 梁翔宇,张恒汝*,周瑶,余一帆,闵帆.加密流量分类的特征回放集成学习方法[J].山西大学学报(自然科学版),2023,46(01):1-9.2022年度[1]Heng-Ru Zhang, Jie Qian, Hui-Lin Qu, Fan Min*. A Mixture-of-Gaussians model for estimating the magic barrier of the recommender system. Applied Soft Computing, 2022:108162.[2] Cao-Fan Pan, Xue-Yang Min,Heng-Ru Zhang, et al. Behavior imitation of individual board game players. Applied Intelligence, 2022: 1-15.[3] Cao-Fan Pan, Fan Min*,Heng-Ru Zhang, et al. BRL: Learning behavior representations of Reversi players. 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA). IEEE, 2022: 1-10 (数据科学与高级分析国际会议会议地址中国深圳).[4] Bin-Yuan Rong,Heng-Ru Zhang*, Li, Gui-Lin, et al. Label Distribution Learning with Data Augmentation using Generative Adversarial Networks. 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA). IEEE, 2022: 1-10 (数据科学与高级分析国际会议会议地址中国深圳).[5] 吕亚兰, 徐媛媛,张恒汝*. 一种可解释性泛化矩阵分解推荐算法[J]. 南京大学学报(自然科学), 2022, 58(1): 135–142.[6] 容斌元,徐媛媛,吕亚兰,张恒汝*.融合标签局部相关性的标签分布学习[J].山东大学学报(理学版),2022,57(07):53-64.2021年度[1] 吕亚兰,张恒汝*, 秦琴, 徐媛媛. 多通道特征向量的新三角距离高效推荐[J].西南大学学报(自然科学版),2021,43(10):19-28.[2] 黄雨婷, 徐媛媛,张恒汝*,闵帆.三角距离相关性的标签分布学习[J].智能系统学报,2021,16(03):449-458.[3] Gui-Lin Li,Heng-Ru Zhang*, et al. Label Distribution Learning by Exploiting Feature-Label Correlations Locally. 2021 IEEE International Conference on Big Knowledge (ICBK). IEEE, 2021 (IEEE巨量知识国际会议会议地址新西兰奥克兰).2020年度[1] 秦琴,张恒汝*.基于信任传递机制的三支推荐[J].模式识别与人工智能,2020,33(07):600-609.[2]张恒汝*, 朱科霖, 徐媛媛, 谯英.抽油机井参数优化的粒计算方法[J].西南石油大学学报(自然科学版),2020,42(06):115-123.[3] 黄雨婷, 徐媛媛,张恒汝*, 闵帆.融合标签结构依赖性的标签分布学习[J].南京大学学报(自然科学),2020,56(04):524-532.[4] 马圆媛, 党正阳,张恒汝*.利用多特征混沌粒子滤波的视觉目标跟踪方法[J].计算机应用研究,2020,37(11):3500-35033511.2019年度[1]Heng-Ru Zhang, Fan Min*, Zhi-Heng Zhang, Song Wang. Efficient collaborative filtering recommendations with multi-channel feature vectors. International Journal of Machine Learning Cybernetics. 2019:1165–1172.[2] Rong-Ping Shen,Heng-Ru Zhang, Hong Yu, Fan Min*. Sentiment based matrix factorization with reliability for recommendation. Expert Systems with Applications. 2019:249-258.[3] 徐媛媛,张恒汝, 闵帆*, 黄雨婷.三支交互推荐[J].南京大学学报(自然科学),2019,55(06):973-983.2018年度[1]Heng-Ru Zhang, Fan Min*, Yan-Xue Wu, Zhuo-Lin Fu, Lei Gao. Magic barrier estimation models for recommended systems under normal distribution. Applied Intelligence. 2018,48: 4678-4693.[2] Fu, Zhuo-Lin, Fan Min*, andHeng-Ru Zhang. Recommendation with generalized logistic transformation. 2018 IEEE International Conference on Big Knowledge (ICBK). IEEE, 2018 (IEEE巨量知识国际会议会议地址新加坡).[3] 张紫茵,张恒汝*, 徐媛媛,秦琴.用户非对称信任关系的推荐算法[J].计算机科学, 2018,45(10):37-42.2014-2017年度[1]Heng-Ru Zhang, Fan Min*, Bing Shi, Regression-based three-way recommendation. Information Sciences, 2017, 378:444-461.ESI高倍引[2]Heng-Ru Zhang, Fan Min*. Three-way recommender systems based on random forests. Knowledge-Based Systems, 2016, 91: 275-286.ESI高倍引[3] Yuan-Yuan Xu,Heng-Ru Zhang, and Fan Min*. A three-way recommender system for popularity-based costs. International Joint Conference on Rough Sets. Springer, Cham, 2017 (粗糙集国际会议会议地址波兰奥尔什丁olsztyn).[4] Xin-Ling Dong, Shuang-Bo Sun, Fan Min*, andHeng-Ru Zhang. Hybrid similarities for dynamic interaction recommendation. 2016 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE (机器学习和控制论国际会议会议地址韩国济州岛).[5]Heng-Ru Zhang, et al. Cost-sensitive regression-based recommender system. 2015 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2015. (机器学习和控制论国际会议会议地址中国广州)[6]Heng-Ru Zhang, Fan Min*, and Ben-Wen Zhang. Interactive hybrid recommendation with granule selection. 2014 IEEE International Conference on Granular Computing (GrC). IEEE, 2014 (粒计算国际会议会议地址日本北海道).3 指导学生参加学科竞赛2024年度[1] 2024年全国大学生信息安全与对抗技术竞赛一等奖[2] 2024年全国大学生信息安全竞赛三等奖[3] 第十七届全国大学生信息安全竞赛创新实践能力赛西南分区选拔赛一等奖[4] 2024年第17届中国大学生计算机设计大赛四川省赛二等奖[5] 2024年“安恒杯”四川省大学生信息安全技术大赛二等奖[6] 2024年“长城杯”信息安全铁人三项赛决赛三等奖[7] 2024年川渝大学生人工智能大赛暨腾讯开悟人工智能全球公开赛获得智能交通信号灯调度赛道“川渝地区”优秀团队一等奖 (张恒汝老师获得“川渝地区”优秀指导教师奖)2023年度[1] 2023年第十六届中国大学生计算机设计大赛四川省级赛三等奖[2] 2023年第十六届全国大学生信息安全竞赛创新实践能力赛西南赛区二等奖[3] 2023年四川省大学生信息安全技术大赛省级二等奖2022年度[1] 2022年四川省信息安全技术大赛省级二等奖[2] 2022年第十届“泰迪杯”数据挖掘挑战赛国家级一等奖[3] 2022年中国大学生信息安全竞赛创新实践能力赛国家级二等奖[4] 2022年第八届四川省国际“互联网”大学生创新创业大赛高教主赛道、省级铜奖[5] 2022年全国计算机设计大赛省级一等奖[6] 2022年四川省大学生创新创业训练计划平台2021年度[1] 2021年中国大学生计算机设计大赛大数据应用-大数据实践类一等奖[2] 2021年第十四届全国大学生信息安全竞赛创新实践能力赛西南赛区二等奖2016-2019年度[1] 2019年中国大学生计算机设计大赛软件应用与开发类三等奖[2] 2019年四川省信息安全技术大赛三等奖[3] 2018年四川省信息安全技术大赛二等奖及优秀指导教师[4] 2017年四川省信息安全技术大赛一、二、三等奖及优秀指导教师[5] 2016年四川省信息安全技术大赛一、二、三等奖及优秀指导教师