周魏，博士，副教授，博士生导师。CCF高级会员，服务计算专委会、软件工程专委会委员，中国人工智能学会会员。先后在奥克兰大学（新西兰）、香港理工大学、中国科学院深圳先进技术研究院从事科研工作。作为项目负责人主持多项科研课题，包括国家自然科学基金项目2项。研究兴趣包括推荐系统、社交网络用户行为分析、异常检测、机器学习和数据挖掘算法等。实验室具有开展深度学习、数据挖掘的软硬件实验条件。联系邮箱：zhouwei@cqu.edu.cn。

承担的相关科研项目和奖励

[1] 国家自然科学基金面上项目，基于跨平台数据融合的突发公共事件异常内容检测研究. 2021/01-2024/12，在研，主持。

[2] 国家自然科学基金青年基金，基于用户生成信息分析和异常群组发现的推荐系统托攻击检测研究. 2017/01-2019/12，已结题，主持。

[3] 深圳市基础研究自由探索项目，基于迁移学习和用户信任度的推荐系统垃圾信息检测研究. 2018.11-2020/10，已结题，主持。

[4] 重庆市留学人员回国创业创新支持计划，已结题，主持。

[5] 中国博士后科学基金资助项目，已结题，主持。

[6] 参与多项国家级、省部级项目和承担了多项横向产学研项目。

[7] 基于异构空间信息网络的可信数字服务推荐与优化机理，重庆市自然科学二等奖（2023年度）

 

近年来发表论文列表：

[36] 段成华, 文俊浩, 周魏*, 曾骏, 张宜浩. Learning Robust Travel Preferences via Check-in Masking for Next POI Recommendation[J]. Expert Systems with Applications. 2024 录用

[35] 牛俊辉, 周魏* , 罗逢吉, 张宜浩, 曾骏, 文俊浩. Intent-guided Bilateral Long and Short-Term Information Mining with Contrastive Learning for Sequential Recommendation[J]. IEEE Transactions on Service Computing. 2024 录用

[34] 周魏, 王晨绽, 罗逢吉, 王菀, 高旻, 文俊浩* . Community-enhanced Dynamic Graph Convolutional Networks for Rumor Detection on Social Networks[J]. IEEE Transactions on Computational Social Systems. 2024 录用

[33] 周魏, 张显一, 文俊浩*, 王喜宾. Integrating Contrastive Learning and Adversarial Learning on Graph Denoising Encoder for Recommendation[J]. Expert Systems with Applications. 2024

[32] 周魏, Cheng Fu, 桑春艳, 高旻 and 文俊浩*. Next PoI recommendation based on graph convolutional networks and multiple context-awareness[J]. IEEE Transactions on Service Computing. 2024 录用

[31] 郭向星, 周魏, 杨正益, 文俊浩, 杨佳佳, 刘蔓. 基于自监督图卷积和注意力机制实现隐式反馈降噪的社交推荐[J]. 电子学报, 2024

[30] 廖捷,杨敏,周魏,张洪宇,文俊浩. Modeling Item Exposure and User Satisfaction for Debiased Recommendation with Causal Inference[J]. Information Sciences. 2024

[29] 廖捷, 周魏, 罗逢吉, 文俊浩. Enhancing Disentanglement of Popularity Bias for Recommendation with Triplet Contrastive Learning[J]. IEEE Transactions on Service Computing. 2024

[28] 王鸿宇,周魏,文俊浩,乔疏桐. Multiple Hypergraph Convolutional Network Social Recommendation using Dual Contrastive Learning[J]. Data Mining and Knowledge Discovery. 2024

[27] 乔疏桐,周魏,文俊浩,张洪宇,高旻. Bi-channel Multiple Sparse Graph Attention Networks for Session-based Recommendation[C]. CIKM 2023

[26] 段成华,范伟,周魏,刘虎,文俊浩. CLSPRec: Contrastive Learning of Long and Short-term Preferences for Next POI Recommendation[C]. CIKM 2023

[25] 肖鑫宇,周魏,文俊浩. LSIAN: Exploiting Interval Interests for Session-based Recommendation via Sparse Attention Network[J]. Information Sciences 2023

[24] 范伟,周魏,文俊浩. 基于异构图的双通道交叉自适应对比学习推荐[J]. 电子学报 2023

[23] 乔疏桐, 周魏, 罗逢吉,文俊浩. Noise-reducing Graph Neural Network with Intent-target Co-action for Session-based Recommendation[J]. Information Processing and Management 2023

[22] 昌瑶,周魏,蔡海尼,范伟,胡霖峰,文俊浩. Meta-relation Assisted Knowledge-aware Coupled Graph Neural Network for Recommendation [J]. Information Processing and Management 2023

[21] 乔疏桐,周魏,文俊浩,王鸿宇,胡霖峰,倪爽. Multi-Perspective Enhanced Representation for Effective Session-Based Recommendation [J]. Knowledge-Based Systems 2023

[20] 胡霖峰, 周魏, Fengji Luo, 倪爽, 文俊浩. Enhanced Contrastive Learning with Multi-Aspect Information for Recommender Systems[J]. Knowledge-Based Systems 2023

[19] 何宇航, 周魏, 罗逢吉,高旻,文俊浩. Feature-based POI Grouping with Transformer for Next Point of Interest Recommendation[J]. Applied Soft Computing 2023

[18] 王丽平,周魏,柳玲,杨正益,文俊浩. Deep Adaptive Collaborative Graph Neural Network for Social Recommendation[J]. Expert Systems with Applications 2023

[17] 常宇航,周魏,文俊浩. IHG4MR: Interest-Oriented Heterogeneous Graph for Multirelational Recommendation[J]. Expert Systems with Applications 2023

[16] 倪爽,周魏,文俊浩,胡霖峰,乔疏桐. Enhancing Sequential Recommendation with Contrastive Generative Adversarial Network[J]. Information Processing and Management 2023

[15] Ziyu Lyu, Yue Wu, Junjie Lai, Min Yang, Chengming Li, 周魏*. Knowledge Enhanced Graph Neural Networks for Explainable Recommendation[J]. IEEE Transactions on Knowledge and Data Engineering 2023

[14] Xinyu Xiao, Junhao Wen, 周魏*, Fengji Luo, Min Gao, Jun Zeng. Multi-interaction fusion collaborative filtering for social recommendation[J]. Expert Systems with Applications 2022

[13] Min Yang, Qingnan Jiang, Ying Shen, Qingyao Wu, Zhou Zhao, 周魏*. Hierarchical human-like strategy for aspect-level sentiment classification with sentiment linguistic knowledge and reinforcement learning [J]. Neural Networks 2019

[12] Zhiwen Xu, Haijun Ren, 周魏*, Zhichao Liu. ISANET: Non-small cell lung cancer classification and detection based on CNN and attention mechanism[J]. Biomedical signal processing and control 2022

[11] Yu Wang, 周魏*, Junhao Wen, Jun Zeng, Haoran He, Lin Liu. GRU with Level-Aware Attention for Rumor Early Detection in Social Networks[C]. International Conference on Neural Information Processing 2021

[10] Lin Liu, 周魏*, Junhao Wen, Yihao Zhang, Yu Wang, Hanwen Zhang. LCAN: Light Cross-Attention Network for Collaborative Filtering Recommendation[C]. Pacific-Asia Conference on Knowledge Discovery and Data Mining 2022

[9] Hanwen Zhang, 周魏*, Junhao Wen, Lin Liu, Jun Zeng, Min Gao. Modeling Multi-Attribute and Implicit Relationship Factors for Collaborative Filtering Recommender System[C]. IEEE International Conference on Services Computing (SCC 2021 )

[8] 周魏, Junhao Wen, Qingyu Xiong, Min Gao, Jun Zeng. SVM-TIA: a shilling attack detection method based on SVM and target item analysis in recommender systems[J]. Neurocomputing 2016

[7] 周魏, Yun Sing Koh, Junhao Wen, Shafiq Alam, Gillian Dobbie. Detection of abnormal profiles on group attacks in recommender systems[C]. 37th International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR 2014

[6] 周魏, P.Y. Mok, Yanghong Zhou, Yangping Zhou, Jialie Shen, Qiang Qu, K.P. Chau. Fashion recommendations through cross-media information retrieval [J]. Journal of Visual Communication and Image Representation 2019

[5] 周魏, Junhao Wen, Yun Sing Koh, Shafiq Alam, Gillian Dobbie. Attack detection in recommender systems based on target item analysis[C]. International Joint Conference on Neural Networks. IJCNN 2014

[4] 廖捷, 周魏, 罗逢吉,文俊浩,高旻,李秀华,曾骏. SocialLGN: Light Graph Convolution Network for Social Recommendation[J]. Information Sciences 2022

[3]Min Yang, Lei Chen, Xiaojun Chen, Qingyao Wu, 周魏, Ying Shen. Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning[C]. IJCAI 2019

[2] Guanzhong Liang, Junhao Wen, 周魏. Individual Diversity Preference Aware Neural Collaborative Filtering[J]. Knowledge-Based Systems 2022

[1] Guanzhong Liang, Jie Liao, 周魏, Junhao Wen. Integrating the Pre-trained Item Representations with Reformed Self-attention Network for Sequential Recommendation[C]. ICWS 2022