个人简介
梁婷婷，杭州电子科技大学计算机学院教师，副教授，硕士生导师。2019年毕业于浙江大学计算机科学与技术专业，获工学博士学位。2016-2017年于美国伊利诺伊大学芝加哥分校Philip S. Yu教授组进行访问学习。自2019年12月起任职于杭州电子科技大学计算机学院. 主要研究方向包括数据挖掘，推荐系统，神经网络，自然语言处理，服务计算。目前已发表学术论文20余篇，其中在IEEE Transactions on Knowledge and Data Engineering(TKDE), IEEE Transactions on Services Computing(TSC), ACM Transactions on Internet Technology(TOIT), IEEE Transactions on Vehicular Technology(TVT), Knowledge-Based Systems(KBS), SIGIR, ICDM, ICSOC等国际权威期刊及会议上发表10余篇。近五年主持国家自然科学基金青年项目1项，浙江省自然科学基金1项，以主要参与人身份参与浙江省‘尖兵’‘领雁’研发攻关计划等多个项目。
教育经历
2013-09 至 2019-06, 浙江大学, 计算机科学与技术, 博士 2009-09 至 2013-06, 江南大学, 信息与计算科学, 学士
工作经历
2023-01 至 今, 杭州电子科技大学, 计算机学院, 副教授 2019-12 至 2022-12, 杭州电子科技大学, 计算机学院, 副研究员
社会职务
担任IEEE TSC、ACM TIST、KBS、ASOC等国际期刊的审稿人 担任WWW, AAAI, WSDM, CollaborateCom等会议的PC Member
研究领域
主要研究方向包括数据挖掘、推荐系统、自然语言处理、深度学习、服务计算。
纵向科研
(1) 国家自然科学基金-青年科学基金项目, 基于复杂数据融合的服务挖掘研究, 2021/01-2023/12, 结题，主持 (2) 浙江省自然科学基金-一般项目, 基于小样本数据的服务推荐方法研究,2022/01-2024/12, 在研，主持 (3) 浙江省‘尖兵’‘领雁’研发攻关计划, 基于异质多模态数据融合的卒中后认知功能障碍智能诊疗技术研究与应用示范, 2022/01-2024/12, 在研，参与
论文成果
Google Scholar [AAAI] Weiqi Yue, Yuyu Yin, Xin Zhang, Binbin Shi, Tingting Liang *, Jian Wan, "CoT4Rec: Revealing User Preferences through Chain of Thought for Recommender Systems", 2025. (CCF A, 人工智能领域顶会) [SIGIR] Tingting Liang, Yuanqing Zhang, Qianhui Di, Congying Xia, Youhuizi Li, Yuyu Yin, "Contrastive Box Embedding for Collaborative Reasoning", Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023. (CCF A, 信息检索领域顶会) [TKDE] Tingng Liang, Congying Xia, Haoran Xu, Ziqiang Zhao, Yuyu Yin, Liang Chen, S Yu Philip, "Modeling Reviews for Few-Shot Recommendation Via Enhanced Prototypical Network", IEEE Transactions on Knowledge and Data Engineering, 2023. (CCF A, 数据挖掘领域顶刊)
[KBS] Tingting Liang, Cheng Yuan, Cheng Lu, Youhuizi Li, Junfeng Yuan, Yuyu Yin, Efficient one-off clustering for personalized federated learning, Knowledge-based Systems, 2023. (中科院一区) [TCBB] Tingting Liang, Congying Xia, Ziqiang Zhao, Yixuan Jiang, Yuyu Yin, S Yu Philip, Transferring from Textual Entailment to Biomedical Named Entity Recognition, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023. (中科院二区) [TKDE] Jintang Li, Jiaying Peng, Liang Chen, Zibin Zheng, Tingting Liang, Qing Ling, "Spectral Adversarial Training for Robust Graph Neural Network", IEEE Transactions on Knowledge and Data Engineering, 2022. (CCF A) [KBS] Tingting Liang, Lin Ma, Weizhong Zhang, Haoran Xu, Congying Xia, Yuyu Yin, "Content-aware recommendation via dynamic heterogeneous graph convolutional network", Knowledge-based Systems, 2022. (中科院一区) [TITS] Tingting Liang, Manman Chen, Yuyu Yin, Li Zhou, Haochao Ying, "Recurrent neural network based collaborative filtering for QoS prediction in IoV", IEEE Transactions on Intelligent Transportation Systems, 2021. (中科院一区) [ASOC] Tingting Liang, Xuan Sheng, Li Zhou, Youhuizi Li, Honghao Gao Yuyu Yin*, Liang Chen, “Mobile app recommendation via heterogeneous graph neural network in edge computing”, Applied Soft Computing, 2021. (中科院二区) [TOIT] Yuyu Yin, Haoran Xu, Tingting Liang*, Honghao Gao, Antonella Longo, “Leveraging Data Augmentation for Service QoS Prediction in Cyber-Physical Systems”, Transactions on Internet Technology (TOIT), 2021. (CCF B) [SIGIR] Tingting Liang, Congying Xia, Yuyu Yin, Philip S Yu, “Joint Training Capsule Network for Cold Start Recommendation”, Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020. (CCF A) [TSC] Tingting Liang, Liang Chen, JianWu, Guandong Xu, and ZhaohuiWu, “SMS: A Framework for Service Discovery by Incorporating Social Media Information”, IEEE Transactions on Services Computing, 2019. (CCF A) [KBS] Tingting Liang, Lei Zheng, Liang Chen, Yao Wan, Philip S. Yu, and Jian Wu, “Multi-View Factorization Machines for Mobile App Recommendation based on Hierarchical Attention”, Knowledge-based Systems, 2020. (中科院一区)
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