赵国帅
副教授、博士生导师
西安交通大学软件学院
2020，获西安交通大学“十大学术新人”奖
2019，入选“博士后创新人才支持计划”
2019，西安交通大学优秀毕业生
2019，西安交通大学“信源通”优秀博士论文基金
2017，获国家留学基金委奖学金
2016，Intel Fellowship
地址：西安市咸宁西路28号西安交通大学软件学院西小楼A206
邮箱：guoshuai.zhao[AT]xjtu.edu.cn
Personal Web：http://guoshuaizhao.com/
赵国帅，博士，西安交通大学软件学院长聘副教授，博导，麻省理工学院访问学者、美国东北大学访问学者。于2019年获得西安交大工学博士学位，2019年4月，入职西安交通大学电信学部软件学院从事科研教学工作，2021年6月至今为西安交通大学副教授。曾赴美国麻省理工学院、美国东北大学、微软亚洲研究院长期访学交流。
主要研究方向为信息检索与个性化推荐、大模型安全与应用、多模态理解与分析等，发表学术论文50余篇，其中IEEE Trans国际权威期刊论文20余篇，ESI高被引论文3篇，申请发明专利8项，授权4项，参与制定标准2项。主持国家自然科学基金委面向项目、青年项目各1项、中国博士后科学基金项目2项，横向课题5项，国家级军工课题3项，作为骨干成员参与科技部国家重点研发计划2项。入选2019年度全国“博士后创新人才支持计划”、 2020年度西安交通大学“十大学术新人”、 2020年“西安十佳程序员”、2024年陕西省科技厅秦创原“科学家+工程师”队伍建设首席科学家、2016 Intel Fellowship等。曾担任计算机领域国际顶级会议 WWW2020(CCF A类会议)分会主席，担任第二届“博新计划 ”前沿论坛大数据与人工智能分论坛主席。担任国际SCI期刊Information Processing & Management（IF：7.4）期刊编委，《西安交通大学学报》青年编委，担任多个国际顶会 AAAI、IJCAI、WWW、KDD、SIGIR以及权威期刊IEEE TPMAI、TKDE、TIP、TMM、TMC、TCSVT的审稿人或程序委员会委员，担任国家自然科学基金评审专家等。
[25]. Jinjin Qian, Chengxu Liu, Yubin Ai, Guoshuai Zhao, Xueming Qian: Enhancing Automated Vending Machine Product Recognition Through Depth-Guided Regression Refinement. IEEE Trans. Ind. Informatics 21(6): 4565-4575 (2025)
[24]. Xuanming Jiang, Baoyi An, Guoshuai Zhao, Xueming Qian: M3Net: Efficient Time-Frequency Integration Network with Mirror Attention for Audio Classification on Edge. AAAI 2025: 17644-17652
[23]. Feng Wu, Guoshuai Zhao, Tengjiao Li, Jialie Shen, Xueming Qian: Improving Conversational Recommendation System Through Personalized Preference Modeling and Knowledge Graph. IEEE Trans. Knowl. Data Eng. 36(12): 8529-8540 (2024)
[22]. Sen Wu, Guoshuai Zhao, Xueming Qian: Resolving Zero-Shot and Fact-Based Visual Question Answering via Enhanced Fact Retrieval. IEEE Trans. Multim. 26: 1790-1800 (2024)
[21]. Hao Tang, Guoshuai Zhao, Jing Gao, Xueming Qian: Personalized Representation With Contrastive Loss for Recommendation Systems. IEEE Trans. Multim. 26: 2419-2429 (2024)
[20]. Yuxia Wu, Guoshuai Zhao, Mingdi Li, Zhuocheng Zhang, Xueming Qian: Reason Generation for Point of Interest Recommendation Via a Hierarchical Attention-Based Transformer Model. IEEE Trans. Multim. 26: 5511-5522 (2024)
[19]. Guoshuai Zhao, Xiaolong Zhang, Hao Tang, Jialie Shen, Xueming Qian: Domain-Oriented Knowledge Transfer for Cross-Domain Recommendation. IEEE Trans. Multim. 26: 9539-9550 (2024)
[18]. Junbo Fu, Guoshuai Zhao, Yimin Deng, Yunqi Mi, Xueming Qian: Learning to Paraphrase for Alignment with LLM Preference. EMNLP (Findings) 2024: 2394-2407
[17]. Yimin Deng, Yuxia Wu, Guoshuai Zhao, Li Zhu, Xueming Qian: Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent Discovery. EMNLP (Findings) 2024: 7549-7562
[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. Knowl. Data Eng. 35(5): 5400-5412 (2023)
[15]. Jihua Zhu, Yujiao He, Guoshuai Zhao, Xuxiao Bu, Xueming Qian: Joint Reason Generation and Rating Prediction for Explainable Recommendation. IEEE Trans. Knowl. Data Eng. 35(5): 4940-4953 (2023)[14]. Hao Tang, Guoshuai Zhao, Yuxia Wu, Xueming Qian: Multisample-Based Contrastive Loss for Top-K Recommendation. IEEE Trans. Multim. 25: 339-351 (2023)
[13]. Junmei Hao, Yujie Dun, Guoshuai Zhao, Yuxia Wu, Xueming Qian: Annular-Graph Attention Model for Personalized Sequential Recommendation. IEEE Trans. Multim. 24: 3381-3391 (2022)
[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. Knowl. Data Eng. 34(4): 1944-1957 (2022) 入选2023 2024 2025 ESI高被引论文
[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 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 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.
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