Lei Zheng

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 37

Top Topics

Convolutional Network

Graph Representation

Recommender Systems

Top Venues

Publications

Ziwei Fan, Zhiwei Liu, Yu Wang, Alice Wang, Zahra Nazari, Lei Zheng, Hao Peng, Philip S. Yu
Sequential Recommendation via Stochastic Self-Attention. WWW (2022)
Ziwei Fan, Zhiwei Liu, Yu Wang, Alice Wang, Zahra Nazari, Lei Zheng, Hao Peng, Philip S. Yu
Sequential Recommendation via Stochastic Self-Attention. CoRR (2022)
Ziwei Fan, Zhiwei Liu, Shen Wang, Lei Zheng, Philip S. Yu
Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation. CIKM (2021)
Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer. CIKM (2021)
Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer. CoRR (2021)
Ziwei Fan, Zhiwei Liu, Lei Zheng, Shen Wang, Philip S. Yu
Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation. CoRR (2021)
Jiayu Han, Lei Zheng, Yuanbo Xu, Bangzuo Zhang, Fuzhen Zhuang, Philip S. Yu, Wanli Zuo
Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation. IEEE Trans. Neural Networks Learn. Syst. 31 (3) (2020)
Tingting Liang, Lei Zheng, Liang Chen, Yao Wan, Philip S. Yu, Jian Wu
Multi-view factorization machines for mobile app recommendation based on hierarchical attention. Knowl. Based Syst. 187 (2020)
Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Philip S. Yu
Virtual Adversarial Training for Semi-supervised Verification Tasks. EUSIPCO (2019)
Zhiwei Liu, Lei Zheng, Jiawei Zhang, Jiayu Han, Philip S. Yu
JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation. CoRR (2019)
Zhiwei Liu, Lei Zheng, Jiawei Zhang, Jiayu Han, Philip S. Yu
JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation. IEEE BigData (2019)
Lei Zheng, Ziwei Fan, Chun-Ta Lu, Jiawei Zhang, Philip S. Yu
Gated Spectral Units: Modeling Co-evolving Patterns for Sequential Recommendation. SIGIR (2019)
Ji Wang, Weidong Bao, Lei Zheng, Xiaomin Zhu, Philip S. Yu
An Attention-augmented Deep Architecture for Hard Drive Status Monitoring in Large-scale Storage Systems. ACM Trans. Storage 15 (3) (2019)
Chaozhuo Li, Lei Zheng, Senzhang Wang, Feiran Huang, Philip S. Yu, Zhoujun Li
Multi-Hot Compact Network Embedding. CIKM (2019)
Jiayu Han, Lei Zheng, He Huang, Yuanbo Xu, Philip S. Yu, Wanli Zuo
Deep Latent Factor Model with Hierarchical Similarity Measure for recommender systems. Inf. Sci. 503 (2019)
Lei Zheng, Chaozhuo Li, Chun-Ta Lu, Jiawei Zhang, Philip S. Yu
Deep Distribution Network: Addressing the Data Sparsity Issue for Top-N Recommendation. SIGIR (2019)
Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, He Huang, Chaozhuo Li, Vahid Noroozi, Bowen Dong, Philip S. Yu
MARS: Memory Attention-Aware Recommender System. DSAA (2019)
Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, Vahid Noroozi, He Huang, Philip S. Yu
MARS: Memory Attention-Aware Recommender System. CoRR (2018)
Lei Zheng, Yixue Wang, Lifang He, Sihong Xie, Fengjiao Wang, Philip S. Yu
PER: A Probabilistic Attentional Model for Personalized Text Recommendations. IEEE BigData (2018)
Yang Yang, Lei Zheng, Jiawei Zhang, Qingcai Cui, Zhoujun Li, Philip S. Yu
TI-CNN: Convolutional Neural Networks for Fake News Detection. CoRR (2018)
Lei Zheng, Chun-Ta Lu, Fei Jiang, Jiawei Zhang, Philip S. Yu
Spectral collaborative filtering. RecSys (2018)
Chaozhuo Li, Senzhang Wang, Philip S. Yu, Lei Zheng, Xiaoming Zhang, Zhoujun Li, Yanbo Liang
Distribution Distance Minimization for Unsupervised User Identity Linkage. CIKM (2018)
Fei Jiang, Lei Zheng, Jin Xu, Philip S. Yu
FI-GRL: Fast Inductive Graph Representation Learning via Projection-Cost Preservation. ICDM (2018)
Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Weixiang Shao, Philip S. Yu
Semi-supervised Deep Representation Learning for Multi-View Problems. CoRR (2018)
Fei Jiang, Lei Zheng, Jin Xu, Philip S. Yu
FI-GRL: Fast Inductive Graph Representation Learning via Projection-Cost Preservation. CoRR (2018)
Xiaotian Han, Chuan Shi, Lei Zheng, Philip S. Yu, Jianxin Li, Yuanfu Lu
Representation Learning with Depth and Breadth for Recommendation Using Multi-view Data. APWeb/WAIM (1) (2018)
Lei Zheng, Chun-Ta Lu, Fei Jiang, Jiawei Zhang, Philip S. Yu
Spectral Collaborative Filtering. CoRR (2018)
Bokai Cao, Lei Zheng, Chenwei Zhang, Philip S. Yu, Andrea Piscitello, John Zulueta, Olu Ajilore, Kelly Ryan, Alex D. Leow
DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection. CoRR (2018)
Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Weixiang Shao, Philip S. Yu
Semi-supervised Deep Representation Learning for Multi-View Problems. IEEE BigData (2018)
Lei Zheng, Vahid Noroozi, Philip S. Yu
Joint Deep Modeling of Users and Items Using Reviews for Recommendation. CoRR (2017)
Lei Zheng, Bokai Cao, Vahid Noroozi, Philip S. Yu, Nianzu Ma
Hierarchical collaborative embedding for context-aware recommendations. IEEE BigData (2017)
Fengjiao Wang, Yongzhi Qu, Lei Zheng, Chun-Ta Lu, Philip S. Yu
Deep and Broad Learning on Content-Aware POI Recommendation. CIC (2017)
Vahid Noroozi, Lei Zheng, Sara Bahaadini, Sihong Xie, Philip S. Yu
SEVEN: Deep Semi-supervised Verification Networks. IJCAI (2017)
Bokai Cao, Lei Zheng, Chenwei Zhang, Philip S. Yu, Andrea Piscitello, John Zulueta, Olu Ajilore, Kelly Ryan, Alex D. Leow
DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection. KDD (2017)
Lei Zheng, Jingyuan Zhang, Bokai Cao, Philip S. Yu, Ann B. Ragin
A novel ensemble approach on regionalized neural networks for brain disorder prediction. SAC (2017)
Lei Zheng, Vahid Noroozi, Philip S. Yu
Joint Deep Modeling of Users and Items Using Reviews for Recommendation. WSDM (2017)
Vahid Noroozi, Lei Zheng, Sara Bahaadini, Sihong Xie, Philip S. Yu
SEVEN: Deep Semi-supervised Verification Networks. CoRR (2017)