张诗杰，澳洲昆士兰大学博士，深圳北理莫斯科人工智能研究院副教授。本科毕业于山东大学数学与统计学院，硕士和博士毕业于澳洲昆士兰大学信息技术与电气工程学院。曾任职腾讯科技有限公司高级算法工程师（大咖计划）。作为业界导师参与多项科研课题，包括CCF-腾讯犀牛鸟基金项目和腾讯犀牛鸟精英人才计划。主要从事推荐系统，图神经网络，用户行为建模，联邦学习，差分隐私，大模型等的研究，近年来在IJCAI, ACM SIGIR, The Web Conference, CIKM, WSDM, IEEE TKDE等知名国际会议和期刊上共发表学术论文近10篇，申请和授权的中国发明专利1项。Google Scholar累积引用470余次，获邀担任NIPS，CIKM，WWW，IJCAI，ICDM，DASFAA, TKDE等顶级会议/期刊审稿人。

推荐系统，图神经网络，联邦学习，差分隐私，自监督，大语言模型

2018.10-2022.8 澳洲昆士兰大学，博士

2016.7-2018.7 澳洲昆士兰大学，信息技术，硕士

2011.9-2015.6 山东大学，信息与计算科学专业，学士

2022.9-2024.5，腾讯，高级算法工程师（大咖计划）

[1] Shijie Zhang, Wei Yuan, Hongzhi Yin*. "Comprehensive Privacy Analysis on Federated Recommender System against Attribute Inference Attacks". Accepted by IEEE Transactions on Knowledge and Data Engineering. 2023. (TKDE'23). (CCF Rank A, CORE Rank A*, Q1 Journal).

[2] Shijie Zhang, Hongzhi Yin*, Tong Chen, Zi Huang, Lizhen Cui and Xiangliang Zhang. "Graph Embedding for Recommendation against Attribute Inference Attacks". The Web Conference 2021 (WWW'21), April, 2021. (CCF Rank A, CORE Rank A*).

[3] Shijie Zhang, Hongzhi Yin*, Tong Chen, Nguyen Quoc Viet Hung, Zi Huang and Lizhen Cui. "GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Identification". 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval(SIGIR'2020), Xian, China. July, 2020. (CCF Rank A, CORE Rank A*).

[4] Shijie Zhang, Hongzhi Yin*, Qinyong Wang, Tong Chen, Hongxu Chen and Nguyen Quoc Viet Hung. "Inferring Substitutable Products with Deep Network Embedding". the 28th International Joint Conference on Artificial Intelligence (IJCAI'19), Macao, China, August 2019. (CCF Rank A, CORE Rank A*).

[5] Shijie Zhang*, Xin Yan, Xuejiao Yang, Binfeng Jia, Shuangyang Wang. "Out of the box thinking: Improving Customer Lifetime Value Modelling via Expert Routing and Game Whale Detection". The 32nd ACM International Conference on Information and Knowledge Management (CIKM'23), 21-25 October 2023, Birmingham, UK. (CCF Rank B, CORE Rank A; Corresponding Author).

[6] Shijie Zhang, Hongzhi Yin*, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, Lizhen Cui. "PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion". The 15th ACM International WSDM Conference (WSDM'22), March, 2022. (CCF Rank B, CORE Rank A*).

[7] Wei Yuan, Hongzhi Yin*, Fangzhou Wu, Shijie Zhang, Tieke He, Hao Wang. "Federated Unlearning for On-Device Recommendation". The 16th ACM International WSDM Conference (WSDM'23), Singapore, February 27 to March 3, 2023. (CCF Rank B, CORE Rank A*).

[8] Xuejiao Yang*, Binfeng Jia, Shuangyang Wang, Shijie Zhang. "Feature Missing-aware Routing-and-Fusion Network for Customer Lifetime Value Prediction in Advertising". The 16th ACM International WSDM Conference (WSDM'23), Singapore, February 27 to March 3, 2023. (CCF Rank B, CORE Rank A*).

[9] Yifei Zhang, Hua Hua*, Hui Guo, Shuangyang Wang, Chongyu Zhong, Shijie Zhang. "TMN: Three Meta Networks for Multi-Scenario and Multi-Task Learning in Online Advertising Recommender Systems". The 32nd ACM International Conference on Information and Knowledge Management (CIKM'23), 21-25 October 2023, Birmingham, UK. (CCF Rank B, CORE Rank A).

【1】杨雪娇，贾斌峰，王双洋，张诗杰。一种特征缺失感知的用户级LTV预测方法。