一、个人简介

高晓影，女，汉族，1996.04出生，讲师

归属学科专业：人工智能系

学部任职：无

二、主要学习与工作经历

2026-07--至今，上海应用技术大学，智能技术学部，人工智能系，讲师

2022-09--2026-04，同济大学，计算机技术专业，博士

2019-09--2022-06，山西大学，计算机科学与技术，硕士

三、主要科研工作与成绩

3.1 科研成果

[1] Xiaoying Gao, Jianting Chen, Yunxiao Yang, Zaiyuan Di, and Yang Xiang*. A diffusion-driven multi-view mixed contrastive learning framework for bundle recommendation[J]. Expert Systems With Applications, 2026, 304. (一区, SCI)

[2] Xiaoying Gao, Jianting Chen, Yunxiao Yang, Zaiyuan Di, and Yang Xiang*. A Diffusion-Driven Multi-view Mixed Contrastive Learning framework for Bundle Recommendation[J]. Expert Systems With Applications, 2026, 304: 130690, (一区, SCI)

[3] Xiaoying Gao, Ling Ding, Jianting Chen, Yunxiao Yang, and Yang Xiang*. User group-enhanced user feature distribution transfer framework for non-overlapping cross-domain recommendations[J]. Knowledge-Based Systems, 2025, 314: 113186. (一区, SCI)

[4] Qian Chen, Xiaoying Gao*, Xin Guo, and Suge Wang. Multi-head Attention based Candidate Segment Selection in QA over Hybrid Data[J]. Intelligent Data Analysis, 2023, 27: 1839-1852(SCI)

[5] Qian Chen, Xiaoying Gao*, Xin Guo, and Suge Wang. Deep Structure-Aware Approach for QA Over Incomplete Knowledge Bases[C]. NLPCC 2022, 2022. (CCF C, 会议)

[6] Yunxiao Yang, Jianting Chen*, Xiaoying Gao, Zaiyuan Di, and Yang Xiang. Conditional Information Extraction with Diffusion Model on Fact-Condition Star Graph[C]. WWW2026, 2026. (CCF A, 会议)

[7] Zaiyuan Di, Jianting Chen*, Yunxiao Yang, Xiaoying Gao, Li Yang, Zhihao Wang, and Yang Xiang. Code Reffix: A Benchmark for Reflection-Guided Code Repair with Large Language Models[C]. ACL2026 (Findings), 2026. (CCF A, 会议)

[8] Yunxiao Yang, Jianting Chen, Xiaoying Gao, and Yang Xiang*. Dual De-confounded Causal Intervention method for knowledge graph error detection[J]. Knowledge-Based System, 2024, 305: 112644. (一区, SCI)

[9] Shirui Wang, Bohan Xie, Ling Ding, Xiaoying Gao, Jianting Chen, Yang Xiang*. SeCor: Aligning Semantic and Collaborative Representations by Large Language Models for Next-Point-of-Interest Recommendations[C]. RecSys2024, 2024. (CCF B, 会议)

[10] 陈千，高晓影*，王素格. 基于迭代信息传递和滑动窗口注意力的问题生成模型研究. 中文 信息学报. 2023, 37(12): 106-114. (中文核心)

[11] 授权发明专利：一种面向情绪再现的消息生成方法. ZL 202310301933.3, 2025.07. 向阳, 高晓影.

四、主要社会学术团体兼职

上海市信息学会 理事

五、主要研究方向

推荐算法与大数据分析、自然语言处理、具身智能等

六、联系方式

办公室：七科A315

Email地址：gxying@sit.edu.cn