主要科研获奖：
- 朱海萍(8/11), 陕西省科学技术奖, 陕西省科学技术厅, 发明, 省部一等奖, 2018.9.30(郑庆华; 刘均; 董博; 张未展; 魏笔凡; 赵敏; 李国斌; 朱海萍; 杜海鹏; 李睿;锁志海) (科研奖励)
- 朱海萍(6/11), 陕西高等学校科学技术奖, 陕西省教育厅, 发明, 其他, 2017.4.1(郑庆华; 董博; 张未展; 魏笔凡; 田锋; 朱海萍; 杜海鹏; 李睿; 锁志海; 赵敏;李国斌) (科研奖励)
论文：
- Haiping Zhu, Yuqi Sun, Shuwei Che, Yan Chen,Q&A driven conversational recommendation integrating multiple interest modeling,Neurocomputing,2025,130564,ISSN 0925-2312,https://doi.org/10.1016/j.neucom.2025.130564.
- Jian Zhang, Changlin Yang, Haiping Zhu*, Qika Lin, Fangzhi Xu, Jun Liu:A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extraction. LREC/COLING 2024: 1577-1587
- Tianliang Qi, Yujie Li, Weihua Ji, Kuo-Ming Chao, Yan Chen, Haiping Zhu, Caixia Yan, Jun Liu, Mo Xu, Zhihai Suo, Qinghua Zheng, Feng Tian:Multiple GRAphs-oriented Random wAlk (MulGRA2) for social link prediction. Inf. Sci. 669: 120563 (2024)
- 朱海萍;王子瑜;赵成成;陈妍;刘均;田锋, 基于时空多粒度兴趣建模的学习资源推荐方法, 计算机研究与发展，2024（已录用）
- Dailusi Ma, Haiping Zhu, Siji Liao, Yan Chen, Feng Tian*, Ping Chen, Learning Path Recommendation with Multi-behavior User Modeling and Cascading Deep Q Networks, Knowledge-Based Systems 294 (2024) 111743
- Yaqiang Wu, Hui Zhu, Chenyang Wang, Fujian Song, Haiping Zhu, Yan Chen, Qinghua Zheng, FENG TIAN*, Programming Knowledge Tracing Based on Heterogeneous Graph Representation, Knowledge-Based Systems 300 (2024) 112161
- Haiping Zhu, Yifei Zhao, Yuchen Wu, Yan Chen, Wenhao Li, Qinghua Zheng, Feng Tian:Ensemble Learning Based Employment Recommendation Under Interaction Sparsity for College Students. ADMA 2023: 550-564
- 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,计算机研究与发展，2021,58(12),2660-2672.
- 马黛露丝; 朱海萍; 田锋; 冯沛; 陈妍; 计湘婷; 李玉杰. 一种权衡性能与隐私保护的推荐算法. 西安交通大学学报, 2021,55(7), 117-123.
- Zhu Haiping; Tian Feng; Wu Ke; Shah Nazaraf; Chen Yan; Ni Yifu; Zhang Xinhui; Chao Kuo Ming; Zheng Qinghua, A multi-constraint learning path recommendation algorithm based on knowledge map, Knowledge-Based Systems, 2018, 143: 102-114
- Zeng J , Chen Y, Zhu H. et al. User Sequential Behavior Classification for Click-Through Rate Prediction[C]. Dasfaa International Workshop on Aritificial Intelligence for Data Engineering（AIDE2020）,韩国,267-280
- Liu Y, Zhu H,Chen Y . et al. Long- and Short-Term Preference Model based on Graph Embedding for Sequential Recommendation [C].Dasfaa International Workshop on Aritificial Intelligence for Data Engineering（AIDE2020）,韩国, 241-257