基本信息

副教授，博士，博士生导师

Associate Professor, PhD, PhD Supervisor

研究领域

教育大数据挖掘

智慧教育支撑技术

 

招收大数据挖掘与分析、计算机视觉等方向博士、硕士研究生、本科实习生（专业/年级不限）。如果你对科学研究有浓厚兴趣，勤奋上进，欢迎加入我们！

讲授课程

本科生《计算机网络原理》

联系方式

chenyan@mail.xjtu.edu.cn

办公室：

兴庆校区 西一楼440

创新港：鸿理楼 6028

站点计数器

团队名称

跨媒体知识融合与工程应用研究所

教育部智能网络与网络安全重点实验室

陕西省天地网技术重点实验室

 

团队教师成员：

 

田锋     教授  https://gr.xjtu.edu.cn/web/fengtian

朱海萍 副教授  http://gr.xjtu.edu.cn/web/zhuhaiping/3

个人简介

近几年主要科研项目：

  1. 国家自然科学基金面上项目“教学情境自适应的学习状态跟踪及可解释性研究”，2024.1-2027.12

  2. 国家自然科学基金重大项目“人工智能赋能教与学的理论与关键技术研究”课题一“智能教学情境下的学习认知机理”（62293551）子课题，2023.1.1-2027.12.31
  3. 科技创新 2030 重大项目“面向智慧教育的学习者认知与情感计算研究”课题五（2022ZD0117105）子课题，2023.1.1-2026.12.31
  4. 数据可信与融合决策相结合的评教数据分析及应用研究，省基金，2020.1.1-2021.12.31
  5. e-Learner学习模式识别及倾向性分析，省基金，2016.1.1-2017.12.31
  6. 中小学教育教学大数据实时监测系统，联想（北京）有限公司，2020.1.1-2020.10.31
  7. 基于百度AI技术的网络学习资源推荐算法研究，百度，2020.1.1-2020.12.31
  8. 社交网络中主题社团发现方法研究，校内项目，2019.1.1-2019.12.31
  9. 智能票、财、税一体化的财税服务平台产学研合作，亿企赢网络科技有限公司，2017.6.1-2019.5.31

近几年主要科研论文：

  1. Chen Y , Li K , Tian F ,et al.Lightweight expression recognition combined attention fusion network with hybrid knowledge distillation for occluded e-learner facial images[J].Neurocomputing, 2025, 628.DOI:10.1016/j.neucom.2025.129656.
  2. Haonan Lin, Wenbin An, Yan Chen, Feng Tian, Yuzhe Yao, Wei Ding, Qianying Wang, Ping Chen. “A Tri-Branch Network with Prototype-aware Matching for Universal Category Discovery.” 2024 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2024.CCF B.
  3. Haonan Lin, Wenbin An, Jiahao Wang, Yan Chen, Feng Tian, Mengmeng Wang, QianYing Wang, Guang Dai, Jingdong Wang. “Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery.” Annual Conference on Neural Information Processing Systems 2024， (NeurIPS 2024)。CCF A.
  4.  Haonan Lin, Mengmeng Wang, Jiahao Wang, Wenbin An, Yan Chen, Yong Liu, Feng Tian, Guang Dai, Jingdong Wang, QianYing Wang. “Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing.” Annual Conference on Neural Information Processing Systems 2024， (NeurIPS 2024)。.CCF A
  5. Wenbin An, Wenkai Shi, Feng Tian, Haonan Lin, QianYing Wang, Yaqiang Wu, Mingxiang Cai, Luyan Wang, Yan Chen, Haiping Zhu, Ping Chen, Generalized Category Discovery with Large Language Models in the Loop,  ACL Findings, 2024.
  6. Wenkai Shi, Wenbin An, Feng Tian*,Yan Chen, Yaqiang Wu, Qianying Wang, Ping Chen.. A Unified Knowledge Transfer Network for Generalized Category Discovery,  AAAI2024
  7. Wenbing An, Feng Tian*, Wenkai Shi, Yan Chen, Yaqiang Wu, Qianying Wang*, Ping Chen. Transfer and Alignment Network for Generalized Category Discovery, AAAI2024
  8. Wenbin An, Feng Tian,Wenkai Shi, Yan Chen, Qinghua Zheng, QianYing Wang, Ping Chen. DNA: Denoised Neighborhood Aggregation for Fine-grained Category Discovery[C]//Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.
  9. Wenkai Shi, Wenbin An, Feng Tian, Yan Chen, Qinghua Zheng, QianYing Wang, Ping Chen. A Diffusion Weighted Graph Framework for New Intent Discovery[C]//Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.

  10. Li Y, Chen Y, Qi T, et al. SHGAE: Social Hypergraph AutoEncoder for Friendship Inference[C]//International Conference on Artificial Neural Networks. Cham: Springer Nature Switzerland, 2023: 550-562.

  11. Chen Yan, Wei Ganglin, Liu Jiaxin,Chen Yunwei,Zheng Qinghua,Tian Feng,Zhu Haiping, Wang Qianying,Wu Yaqiang. A prediction model of student performance based on self-attention mechanism[J]. Knowledge and Information Systems, 2022: 1-26.
  12. 陈妍，刘嘉欣，李政霖，武亚强，王茜莺， 蔡明祥，田锋.融合 Landmarks 和个性化校准的在线学习者注视点估计模型.中国自动化大会CAC2022.12.2
  13. Chen Yan ,  Zheng Qinghua ,  Ji Shuguang , et al. Identifying at-risk students based on the phased prediction model[J]. Knowledge and Information Systems, 2020, 62(5)：987-1003. SCI:00051957380 0006
  14. Chen Yan ,  Zeng Jiangwei,  Zhu Haiping , et al. A Behavior-Item Based Hybrid Intention-Aware Frame for Sequence Recommendation[C]. International Conference on e-Business Engineering. Springer, Cham, 2019.
  15. 陈妍, 张新慧, 朱海萍,等. 面向网络教育学院的学习行为分析[J]. 计算机应用, 2016, 6(0z1):224-227.
  16. Liu Yu ,  Zhu Haiping,  Chen Yan* , et al. Long- and Short-Term Preference Model Based on Graph Embedding for Sequential Recommendation[C]. DASFAA 2020. 通讯作者
  17. Xue Luguo ,  Luo Minnan ,  Peng Zen ,Liu Jun，Chen Yan*. Anomaly Detection in Time-Evolving Attributed Networks[C], DASFAA 2019. 通讯作者
  18. Xue Luguo ,  Chen Yan ,  Luo Minnan, et al. An Anomaly Detection Framework for Time-Evolving Attributed Networks[J]. Neurocomputing, 2020(407):39-49 .SCI:000555460200005
  19. Zeng Jiangwei ,  Chen Yan ,  Zhu Haiping , et al. User Sequential Behavior Classification for Click-Through Rate Prediction[C]. DASFAA 2020.
  20. 朱海萍, 赵成成, 刘启东,郑庆华，曾疆维，田锋，陈妍. 基于互惠性约束的可解释就业推荐方法[J]. 计算机研究与发展, 2021，58（12）：2660-2672.
  21. 马黛露丝, 朱海萍, 田锋,等. 一种权衡性能与隐私保护的推荐算法[J]. 西安交通大学学报, 2021, 55(7):117-123.
  22. Jia Yue,Feng Tian, KUO-MIN CHAO2 , Nazaraf Shah ,Longzhuang Li, Yan Chen,Qinghua Zheng . Recognizing Multidimensional Engagement of E-Learners Based on Multi-Channel Data in E-Learning Environment[J]. IEEE Access, 2019, 7:149554-149567..
  23. Zhu Haiping,Liu Yu,Tian Feng,Ni Yifu,Wu Ke ,Chen Yan,Zheng Qinghua. A Cross-Curriculum Video Recommendation Algorithm Based on a Video-Associated Knowledge Map[J]. IEEE Access, 2018, 6: 57562-57571.
  24. Zhu Haiping,Ni Yifu,Feng Pei ,Chen Yan,Zheng Qinghua.. A group-oriented recommendation algorithm based on similarities of personal learning generative networks[J]. IEEE Access, 2018, 6: 42729-42739.
  25. Zhu Haiping,Tian Feng,Wu ke,Nazaraf Shah,Chen Yan,Ni Yifu,Zhang Xinhui,Kuo-Ming Chao,Zheng Qinghua..  A multi-constraint learning path recommendation algorithm based on knowledge map[J]. Knowledge-Based Systems, 2018, 143: 102-114.
  26. Bai Rong,Zhu Haiping,Ni Yifu,Chen Yan,Zheng Qinghua. Autocot-autoencoder based cooperative training for sparse recommendation[C]//2018 IEEE 15th International Conference on e-Business Engineering (ICEBE). IEEE, 2018: 257-262.
  27. Feng Pei, Zhu Haiping,Liu Yu,Chen Yan,Zheng Qinghua.. Differential privacy protection recommendation algorithm based on student learning behavior[C]2018 IEEE 15th International Conference on e-Business Engineering (ICEBE). IEEE, 2018: 285-288.
  28.  Zhu Haiping,Zhang Xinhui,Wang Xinrong,Chen Yan,Zeng Bin. A case study of learning action and emotion from a perspective of learning analytics[C]//2014 IEEE 17th International Conference on Computational Science and Engineering. IEEE, 2014: 420-424.
  29. Bao Hongying, Zhu Haiping, Liu Jun, Tian Feng,Chen Yan. Analysis on topic map oriented e-learner behavior and study efficiency[C].2013 IEEE 10th International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing. IEEE, 2013: 2379-2384.

专利

  1. 田锋，王媛媛，吴凡，陈妍，杨子晨，藉伟华，郑庆华，基于教学评价数据可信度的教学质量综合评价方法，ZL201810990031.4，授权时间2021.8.13
  2. 朱海萍，刘雨，田锋，冯沛，吴珂，陈妍，郑庆华. 一种基于图谱关联的跨课程视频子图推荐方法.  201811481130.6，授权时间2021.01.19
  3. 朱海萍，倪逸夫，田锋，陈妍，冯沛，郑庆华，一种基于学习生成网络相似度的网络学习群组划分方法，ZL2018103690261，授权日期：2020.7.28
  4. 朱海萍，倪逸夫，田锋，陈妍，郑庆华.  一种基于学习生成网络相似度的网络学习群组划分方法. 2018103690261，授权时间 2020.07.28
  5. 陈妍，田锋，朱海萍，张新慧，郑庆华.  一种面向网络教育的成绩不良学习者识别方法. 201610864980.9，授权时间2018.4.17
  6. 朱海萍，田锋，陈妍，张新慧，郑庆华. 一种基于知识地图的多约束学习路径推荐方法.   201510683902.4，授权时间2017.4.26
  7.  陈妍，杨扬，朱海萍，郑庆华，田锋，刘文强.  一种面向交互文本的话题识别方法. 201310114098.9，授权时间2016.3.30
  8.  田锋，陈妍，付雁，曾彬，郑庆华.  一种基于思维地图的网络学习资源推荐方法. 201310370799.9，授权时间2016.3.30
  9. 朱海萍，陈妍，郑庆华，包洪英，田锋.  一种面向知识地图的网络学习行为与效能分析方法.  2014108340980,，授权时间2016.3.30

编著教材：

  1. 计算机网络（第四版），高等教育出版社，2023
  2. 计算机组成与技术（第二版），清华大学出版社，2021
  3. 计算机网络原理（第二版），机械工业出版社，2019
  4. Internet原理与技术，机械工业出版社，2015
  5. 计算机网络原理，机械工业出版社，2014，获得西安交通大学优秀教材一等奖
  6. 计算机组成与设计，清华大学出版社，2013，获得西安交通大学优秀教材一等奖
  7. 计算机网络技术经典案例集，中国铁道出版社，2012
  8. 计算机网络技术，上海交通大学出版社，2012
  9. 计算机网络实验教程，高等教育出版社，2011，西安交通大学优秀教材二等奖