赵国帅，博士，西安交通大学软件学院副教授，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。担任中国计算机学会多媒体专委会执行委员，中国指挥与控制学会大模型与决策智能专业委员会委员。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60余篇，其中IEEE Trans国际权威期刊论文30余篇，ESI高被引论文3篇，CCF A类会议期刊20余篇，申请发明专利8项，软著3项，标准5项，学术专著1项。主持国家自然科学基金委面上项目和青年项目各1项、国家级军工课题6项，横向课题6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，获A类国际会议IJCAI2025 Social Media Prediction (SMP) Video Challenge挑战赛第一名（Best Performance Award）、ACM MM2026 Social Media Prediction (SMP) Challenge - Video Track挑战赛第一名（Best Performance Award），获2025年陕西省计算机学会自然科学二等奖（1/4）。曾担任计算机领域国际顶级会议 WWW2020(CCF A类会议)分会主席，担任国际会议CoST2023分论坛主席，在ACM MMAsia2025会议上组织了名为“Cultural Heritage Recommendation System with Multimodal Learning”的特别论坛并担任论坛主席，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，担任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。

地址：西安市咸宁西路28号西安交通大学软件学院西小楼A104

邮箱：guoshuai.zhao[AT]xjtu.edu.cn

谷歌学术主页

SMILES LAB 教研室主页

部分论文成果：

[36]. Yunqi Mi, Zeyu Hao, Guoshuai Zhao*, Yingjie Wu, Chengxu Liu, Jialie Shen, Xueming Qian: CanonFedRec: A Canonical Geometric Framework for Personalized Federated Recommendation, KDD2026, Accepted.

[35]. Yizhe Yang, Xuanming Jiang, Jisheng Dang, Aoying Wang, Baoyi An, Hao Wu, Bimei Wang, Hong peng, Guoshuai Zhao, Bin Hu, Zhongyu Yang: SCOPE: Streaming Covariance-Orthogonal Post-Hoc Editing for Continual LLM Safety Governance, KDD2026, Accepted.

[34]. Xuanming Jiang, Baoyi An, Dingyu Nie, Haoyu Ren, Zhengwei Zou, Yizhe Yang, Jialie Shen, Zhiwen Jin, Xueming Qian, Zhongyu Yang, Guoshuai Zhao*: MeteoNet: Next-Generation Efficient Solution for Reliable Full-Scale Non-Uniform Meteorological Field Reconstruction, CVPR Findings 2026, Accepted.

[33]. Zeyu Song,  Yimin Deng,  Yuxin Zhang,  Guoshuai Zhao*, Chengxu Liu,  Jialie Shen,  Xueming Qian: Dynamic Multi-Path Retrieval for Knowledge-based Visual Question Answering, IJCAI 2026, Accpted.

[32]. Junbo Fu, Guoshuai Zhao*, Linkang Yang, Yunqi Mi, Xueming Qian: Duplicate-Aware Controlled Code Generation: Enhancing Copyright Protection with Targeted Reordering Beam Search in LLMs, ACL Findings 2026, Accepted.

[31]. Zhengwei Zou, Xuanming Jiang, Baoyi An, Dingyu Nie, Zhengxing Fang, Qingyu Liu, Xueming Qian, Guoshuai Zhao*, Zhongyu Yang: EmoRes: Toward Adaptive Psychological Support via User-Agnostic Benchmark and Topic-Mining Agent, ACL Findings 2026, Accepted.

[30]. Yimin Deng, Yejing Wang, Zhenxi Lin, Zichuan Fu, Guoshuai Zhao*, Derong Xu, Yefeng Zheng, Xiangyu Zhao*, Xian Wu*, Li Zhu*, Xueming Qian: AdapTime: Enabling Adaptive Temporal Reasoning in Large Language Models, ACL Findings 2026, Accepted.

[29]. Yimin Deng, Zhenxi Lin, Yejing Wang, Guoshuai Zhao*, Pengyue Jia, Zichuan Fu, Derong Xu, Yefeng Zheng, Xiangyu Zhao*, Li Zhu*, Xian Wu*, Xueming Qian: MultiDx: A Multi-Source Knowledge Integration Framework towards Diagnostic Reasoning, ACL Findings 2026, Accepted.

[28]. Xuanming Jiang, Dingyu Nie, Baoyi An, Yuzhe Zheng, Yichuan Mao, Jialie Shen, Xueming Qian, Zhiwen Jin, Wei Lan, Guoshuai Zhao*: Whole-Field Action Sensing via Wearable Single-Channel EMG Sensors and Resource-Efficient Motion Network. AAAI 2026: 17508-17516. (Oral)

[27]. Yunqi Mi, Boyang Yan, Guoshuai Zhao*, Jialie Shen, Xueming Qian: A Plug-and-Play Model-Agnostic Embedding Enhancement Approach for Explainable Recommendation. IEEE Trans. Multim. 28: 561-573 (2026)

[26]. Xuanming Jiang, Baoyi An, Zhengwei Zou, Dingyu Nie, Jialie Shen, Xueming Qian, Guoshuai Zhao*: Ear with Eye: Lightweight Multimodal Audio-Visual Network Inspired by Bionic Structures. ACM Multimedia 2025: 1346-1355. (Oral)

[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 (Oral)

[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.