研究领域：

社会多媒体数据挖掘、检索、与个性化商品推荐

自然语言生成与个性化对话

学术活动：

担任人工智能领域学术会议AAAI、IJCAI，网络与信息检索领域学术会议WWW与数据挖掘领域学术期刊IEEE TKDE，多媒体领域学术期刊IEEE TMM，信息系统学术期刊ACM TIST，服务计算领域学术期刊IEEE TSC，移动计算领域学术期刊IEEE TMC，以及其他多个知名学术期刊与国际会议的审稿人或程序委员会委员。担任国际会议WWW2020分会主席、第二届“博新计划”前沿论坛分论坛主席，担任国家自然科学基金评审专家。

PC Member: AAAI (2019-2021), WWW (2020-2022), IJCAI (2021, 2022), VCIP (2018, 2019), ICME (2017-2022).

Reviewer: IEEE TKDE/TIP/TMM/TSC/TMC/TWC/TCSS/Access, ACM TIST, PMC, IJGIS, Applied Intelligence，INTR, TBIT, TIIS, etc.

Session Chair: WWW (2020)

承担课题：

国家自然科学基金青年基金，基于社交用户兴趣挖掘的可解释推荐方法研究，2020.1-2022.12，主持。

博士后创新人才项目，基于社交用户行为数据分析的个性化推荐方法研究，2019.4 - 2021.3，主持。

中央高校基本科研业务费，基于用户偏好对个性化推荐理由生成方法研究，2019.4 - 2023.3，主持。

部分论文成果：

[16]. Xuanzhi Zheng, Guoshuai Zhao*, Li Zhu*, Jihua Zhu, Xueming Qian, "What You Like, What I Am: Online Dating Recommendation via Matching Individual Preferences with Features," IEEE Trans. Knowledge and Data Engineering, 2022. DOI: 10.1109/TKDE.2022.3148485.

[15]. Jihua Zhu, Yujiao He, Guoshuai Zhao*, Xuxiao Bo, Xueming Qian*, "Joint Reason Generation and Rating Prediction for Explainable Recommendation," IEEE Trans. Knowledge and Data Engineering, 2022. DOI: 10.1109/TKDE.2022.3146178.

[14]. Hao Tang, Guoshuai Zhao*, Yuxia Wu, and Xueming Qian*, "Multisample-based Contrastive Loss for Top-k Recommendation," IEEE Transactions on Multimedia, 2021. DOI: 10.1109/TMM.2021.3126146.

[13]. Junmei Hao, Yujie Dun*, Guoshuai Zhao, Yuxia Wu, Xueming Qian*, “Annular-Graph Attention Model for Personalized Sequential Recommendation,” IEEE Trans. Multimedia, 2021. DOI: 10.1109/TMM.2021.3097186.

[12]. Guoshuai Zhao*, Zhidan Liu, Yulu Chao, Xueming Qian, “CAPER: Context-Aware Personalized Emoji Recommendation,” IEEE Trans. Knowledge and Data Engineering, 2021, vol. 33, no. 9, pp. 3160-3172.

[11]. Qianqian Wang, Jiafeng Cheng, Quanxue Gao, Guoshuai Zhao, Licheng Jiao, "Deep Multi-View Subspace Clustering With Unified and Discriminative Learning." IEEE Trans. Multim., 2021, vol. 23, pp. 3483-3493.

[10]. Gan Sun, Yang Cong, Yulun Zhang, Guoshuai Zhao, Yun Fu, "Continual Multiview Task Learning via Deep Matrix Factorization," IEEE Trans. Neural Networks Learn. Syst.,2021, vol. 32, no. 1, pp. 3139-150.

[9]. Yuxia Wu, Ke Li, Guoshuai Zhao*, Xueming Qian*, “Personalized Long- and Short-term Preference Learning for Next POI Recommendation,” IEEE Trans. Knowledge and Data Engineering, 2020, DOI: 10.1109/TKDE.2020.3002531.

[8]. Guoshuai Zhao, Hao Fu, Ruihua Song, Tetsuya Sakai, Zhongxia Chen, Xing Xie, Xueming Qian*, “Personalized Reason Generation for Explainable Song Recommendation,” ACM Trans. Intelligent Systems and Technology, 2019, vol. 10, no. 4. pp.41:1-41:21.

[7]. Guoshuai Zhao, Xueming Qian*, Xing Xie, “User-Service Rating Prediction by Exploring Social Users’ Rating Behaviors,” IEEE Trans. Multimedia, 2016, vol. 18, no. 3, pp. 496-506. 入选2017年度ESI高被引论文

[6]. Guoshuai Zhao, Xueming Qian*, Xiaojiang Lei, and Tao Mei, “Service Quality Evaluation by Exploring Social Users’ Contextual Information,” IEEE Trans. Knowledge and Data Engineering, 2016, vol. 28, no. 12, pp. 3382-3394.

[5]. Guoshuai Zhao, Xiaojiang Lei, Xueming Qian*, and Tao Mei, “Exploring Users’ Internal Influence from Reviews for Social Recommendation,” IEEE Trans. Multimedia, 2019, vol. 21, no. 3, pp. 771-781.

[4]. Guoshuai Zhao, Tianlei Liu, Huan Wang, Xingsong Hou, Xueming Qian*, and Tao Hou, “Location Recommendation for Enterprises by Multi-Source Urban Big Data Analysis,” IEEE Trans. Services Computing, 2020, vol.13, no. 6, pp. 1115-1127.

[3]. Guoshuai Zhao, Xueming Qian*, and Chen Kang, “Service Rating Prediction by Exploring Social Mobile Users’ Geographic Locations,” IEEE Trans. Big Data, 2017, vol. 3, no. 1, pp. 67-78.

[2].   Xueming Qian*, He Feng, Guoshuai Zhao, and Tao Mei, “Personalized Recommendation Combining User Interest and Social Circle,” IEEE Trans. Knowledge and Data Engineering, 2014, vol. 26, no. 7, pp. 1487-1502. 入选2019、2020、2021年度ESI高被引论文

[1] Xiaojiang Lei, Xueming Qian*, Guoshuai Zhao, "Rating Prediction based on Social Sentiment from Textual Reviews," IEEE Trans. Multimedia, 2016, vol. 18, no. 9, pp. 1910-1921.