严素蓉 硕士生导师

严素蓉，2014年毕业于浙江大学计算机专业与科学技术专业，获博士学位，2015.2-2016.2，美国加州大学尔湾分校访问学者。现任浙江财经大学教授，硕士生导师，浙江财经大学优秀青年教师支持计划入选者，入选2018年杭州经济技术开发区第一批高层次人才项目（杭州经济技术开发区“金沙英才”人才创业项目），担任多个国际权威SCI/SSCI期刊审稿人，国家及浙江省自然科学基金项目评审专家。

主要教授数据库原理、Python程序设计、数据挖掘与机器学习、商务智能、推荐系统等课程，主要研究方向为通用人工智能、数据挖掘与知识发现等。近年来，主持国家自然科学基金项目2项、浙江省自然科学基金1项、省级课程思政项目1项，作为核心成员参与国家、省部级课题近10项，在TKDE、TIOS、IS、NN、KBS、ESWA等知名期刊发表论文近30篇；获实用新型专利授权1项，软件著作权3项。

(一)主要的论文与专著

[1] Haosen Wang, Chenglong Shi, Can Xu, Surong Yan, Rong Xie and Pan Tang. Enhancing Homophily in Heterogeneous Graph Contrastive Learning via Connection Strength and Multi-view Self-Expression[C]. SIGIR 2025, Accepted,2025.4. (CCF A类).

[2] Chenglong Shi, Surong Yan*, Shuai Zhang,Haosen Wang, Kwei-Jay Lin. Knowledge-Guided Semantically Consistent Contrastive Learning for Sequential Recommendation[J]. Neural Networks,185:10719,2025.5. (CCF B类, SCI index)

[3] Haosen Wang,Pan Tang*,Linghong Zhou,Chenglong Shi,Can Xu,Pengfei Zheng, Surong Yan,Chunqi Wu.A Structure Redefined Graph Pre-training with Contrastive Prompting for Fake News Detection[J]. IEEE Transactions on Computational Social Systems, online,2025.1 (CCF C类, SCI index)

[4] Surong Yan, Kwei-Jay Lin*, Haosen Wang. Toward Lightweight End-to-End Semantic Learning of on-line Human Activity Recognition for Enabling Ambient Intelligence[J]. IEEE Transactions on Knowledge and Data Engineering, 36(11):7157-7170,2024.11. (CCF A类, SCI index)

[5] Jianrong Yao, Ling Jiang, Chenglong Shi, Surong Yan∗, Fake review detection with label-consistent and hierarchical-relation-aware graph contrastive learning[J]. Knowledge-Based Systems,302 (2024 ) 112385,2024. (CCF C类, SCI Index)

[6] Surong Yan, Chenglong Shi*, Haosen Wang,Lei Cheng, Ling Jiang,Ruilin Guo, Kwei-Jay Lin*. Teach and Explore: A Multiplex Information-guided Effective and Efficient Reinforcement Learning for Sequential Recommendation[J]. ACM Transactions on Information Systems,42(5):120:1-26,2024.9. (CCF A类, SCI index)

[7] Surong Yan, Chongyang Li*, Haosen Wang , Bin Lin , Yixian Yuan. Feature Interactive Graph Neural Network for KG-Based Recommendation[J]. Expert Systems With Applications,237(2024):121411,2024.3. (CCF C类, SCI Index)

[8] Haosen Wang, Surong Yan∗, Chunqi Wu, Long Han, Linghong Zhou. Cross-View Temporal Graph Contrastive Learning for Session-Based Recommendation[J]. Knowledge-Based Systems,264(2023):110304-110315,2023.3. (CCF C类, SCI Index)

[9]  Surong Yan, Haosen Wang*, Yixiao Li, Chunqi Wu, Long Han, Chenglong Shi, Ruilin Guo. Metapath-Guided Dual Semantic-Aware Filtering for HIN based recommendation[J]. The Journal of Supercomputing, 79(2023): 11934-11964,2023.3. (CCF C类, SCI Index)

[10] Surong Yan*, Kwei-Jay Lin, Xiaolin Zheng, Haosen Wang. LkeRec: Toward Lightweight End-to-End Joint Representation Learning for Building Accurate and Effective Recommendation[J]. ACM Transactions on Information Systems, 40(3):54:1-54:28,2022.7. (CCF A类, SCI index)

[11] 姚建荣,王忠义，王鲁，张哲斌，姜辉，严素蓉. A hybrid model with novel feature selection method and enhanced voting method for credit scoring[J]. Journal of Intelligent & Fuzzy Systems, 42(3) :2565-2579, 2022. (SCI Index)

[12]Surong Yan, Haosen Wang, Yixiao Li*,Yuan Zheng, Long Han. Attention-aware Metapath-based network embedding for HIN based recommendation[J].  Expert Systems With Applications, 174 (2021):1-12. (CCF C类, SCI Index)

[13] Surong Yan*, Kwei-Jay Lin, Xiaolin Zheng, Wenyu Zhang. Using Latent Knowledge to Improve Real-Time Activity Recognition for Smart IoT[J]. IEEE Transactions on Knowledge and Data Engineering, 2020,32(3):574-587. (CCF A类, SCI index)

[14] Zhenqiu Huang , Kwei-Jay Lin*, Bo-Lung Tsai, Surong Yan, Chi-Sheng Shih. Building edge intelligence for online activity recognition in service-oriented IoT systems[J]. Future Generation Computer Systems,2018, 87(2018):557-567.(CCF C类, SCI index)

[15] Surong Yan*, Kay-Jay Lin, Xiaolin Zheng, Wenyu Zhang, Xiaoqin Feng. An Approach for Building Efficient and Accurate Social Recommender Systems Using Individual Relationship Networks[J]. IEEE Transactions on Knowledge and Data Engineering, 2017, 29(10): 2086-2099.(CCF A类, SCI index).

[16] 严素蓉*，冯小青,廖一星. 改进的基于矩阵分解的社会化推荐模型[J]. 清华大学学报自然科学版，2016,56(7):793-800.

[17] Su-Rong Yan, Xiao-Lin Zheng*, Yan Wang, William Wei Song, Wen-Yu Zhang. A Graph-Based Comprehensive Reputation Model: Exploiting Social Context of Opinions to Enhance Trust in Social Commerce[J]. Information Sciences, 318(2015):51-72. (CCF B类,SCI Index).

[18] Surong Yan, Xiaolin Zheng*, Deren Chen, Yan Wang, Exploiting Two-Faceted web of trust for Enhanced-quality Recommendations[J]. Expert Systems with Applications, 2013, 40(17):7080-7095. (CCF C类,SCI Index)

[19] Su-Rong Yan, Xiao-Lin Zheng*, De-Ren Chen, Wen-Yu Zhang, User-Centric Trust and Reputation Model for Personal and Trusted Service Selection[J]. International Journal of Intelligent Systems,2011,26(8):687-717.( CCF C类,SCI Index).

[20]  Vilho Räisänen著,吴晓波,陈琦,严素蓉译.《服务建模:原理与应用》,浙江大学出版社,2010.

 （二）主持及参与的部分项目：

[1]     国家自然科学基金面上项目,基于边缘计算和群智感知的智能服务自适应推荐与优化研究(61972337),2020.01-2023.12,主持.

[2]     国家自然科学青年基金项目,融合网络环境下情景感知的个性化推荐机制(61502414), 2016.01-2018.12,主持.

[3]     浙江省然科学青年基金一般项目,社会计算环境下多策略融合的个性化推荐机制(LQ14F010006),2014/01-2016/12,主持.

[4]     浙江省高等学校课程思政项目,浙江省高等学校课程思政示范基层教学组织，2021- ,主持.

[5]     杭州经济技术开发区金沙英才人才项目,基于情景感知的网络环境个性化推荐系统创业项目(2018028),2018.06-2020.06, 主持.

[6]     国家社会科学基金一般项目, 免接触服务的用户行为、服务模式与政策支持研究, 2021.09-2025.06.30, 3/8.

[7]     国家社科基金一般项目,社交媒体中基于群体深度交互的信任生成（17BTQ067）,2017.06-2020.06, 3/9.

[8]     浙江省科技计划项目，面向云计算的Battery智能机器日志分析系统（2016C54002），016.12-2019.12，4/16.

[9]     横向项目，面向边缘计算场景的智能推荐系统技术支持服务.2024.6.15-025.6.30,1/7.