Hierarchical collaborative embedding for context-aware recommendations. - Lei Zheng 001; Bokai Cao; Vahid Noroozi; Philip S. Yu; Nianzu Ma (IEEE BigData, 2017)

Deep and Broad Learning on Content-Aware POI Recommendation. - Fengjiao Wang; Yongzhi Qu; Lei Zheng 001; Chun-Ta Lu; Philip S. Yu (CIC, 2017)

SEVEN: Deep Semi-supervised Verification Networks. - Vahid Noroozi; Lei Zheng 001; Sara Bahaadini; Sihong Xie; Philip S. Yu (IJCAI, 2017)

DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection. - Bokai Cao; Lei Zheng 001; Chenwei Zhang; Philip S. Yu; Andrea Piscitello; John Zulueta; Olu Ajilore; Kelly Ryan; Alex D. Leow (KDD, 2017)

A novel ensemble approach on regionalized neural networks for brain disorder prediction. - Lei Zheng 001; Jingyuan Zhang; Bokai Cao; Philip S. Yu; Ann B. Ragin (SAC, 2017)

Joint Deep Modeling of Users and Items Using Reviews for Recommendation. - Lei Zheng 001; Vahid Noroozi; Philip S. Yu (WSDM, 2017)

Representation Learning with Depth and Breadth for Recommendation Using Multi-view Data. - Xiaotian Han; Chuan Shi 001; Lei Zheng 001; Philip S. Yu; Jianxin Li 001; Yuanfu Lu (APWeb/WAIM (1), 2018)

Semi-supervised Deep Representation Learning for Multi-View Problems. - Vahid Noroozi; Sara Bahaadini; Lei Zheng 001; Sihong Xie; Weixiang Shao; Philip S. Yu (IEEE BigData, 2018)

PER: A Probabilistic Attentional Model for Personalized Text Recommendations. - Lei Zheng 001; Yixue Wang; Lifang He 001; Sihong Xie; Fengjiao Wang; Philip S. Yu (IEEE BigData, 2018)

Distribution Distance Minimization for Unsupervised User Identity Linkage. - Chaozhuo Li; Senzhang Wang; Philip S. Yu; Lei Zheng 001; Xiaoming Zhang 001; Zhoujun Li 001; Yanbo Liang (CIKM, 2018)

FI-GRL: Fast Inductive Graph Representation Learning via Projection-Cost Preservation. - Fei Jiang; Lei Zheng 001; Jin Xu 002; Philip S. Yu (ICDM, 2018)

Spectral collaborative filtering. - Lei Zheng 001; Chun-Ta Lu; Fei Jiang; Jiawei Zhang 001; Philip S. Yu (RecSys, 2018)

MARS: Memory Attention-Aware Recommender System. - Lei Zheng 001; Chun-Ta Lu; Lifang He 001; Sihong Xie; Vahid Noroozi; He Huang 008; Philip S. Yu (CoRR, 2018)

TI-CNN: Convolutional Neural Networks for Fake News Detection. - Yang Yang 122; Lei Zheng 001; Jiawei Zhang 001; Qingcai Cui; Zhoujun Li 001; Philip S. Yu (CoRR, 2018)

JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation. - Zhiwei Liu 001; Lei Zheng 001; Jiawei Zhang 001; Jiayu Han; Philip S. Yu (IEEE BigData, 2019)

Multi-Hot Compact Network Embedding. - Chaozhuo Li; Lei Zheng 001; Senzhang Wang; Feiran Huang; Philip S. Yu; Zhoujun Li 001 (CIKM, 2019)

MARS: Memory Attention-Aware Recommender System. - Lei Zheng 001; Chun-Ta Lu; Lifang He 001; Sihong Xie; He Huang 008; Chaozhuo Li; Vahid Noroozi; Bowen Dong; Philip S. Yu (DSAA, 2019)

Virtual Adversarial Training for Semi-supervised Verification Tasks. - Vahid Noroozi; Sara Bahaadini; Lei Zheng 001; Sihong Xie; Philip S. Yu (EUSIPCO, 2019)

Gated Spectral Units: Modeling Co-evolving Patterns for Sequential Recommendation. - Lei Zheng 001; Ziwei Fan 001; Chun-Ta Lu; Jiawei Zhang 001; Philip S. Yu (SIGIR, 2019)

Deep Distribution Network: Addressing the Data Sparsity Issue for Top-N Recommendation. - Lei Zheng 001; Chaozhuo Li; Chun-Ta Lu; Jiawei Zhang 001; Philip S. Yu (SIGIR, 2019)

Deep Latent Factor Model with Hierarchical Similarity Measure for recommender systems. - Jiayu Han; Lei Zheng 001; He Huang 008; Yuanbo Xu; Philip S. Yu; Wanli Zuo (Inf. Sci., 2019)

An Attention-augmented Deep Architecture for Hard Drive Status Monitoring in Large-scale Storage Systems. - Ji Wang 002; Weidong Bao 001; Lei Zheng 001; Xiaomin Zhu 001; Philip S. Yu (ACM Trans. Storage, 2019)

Multi-view factorization machines for mobile app recommendation based on hierarchical attention. - Tingting Liang; Lei Zheng 001; Liang Chen 001; Yao Wan 001; Philip S. Yu; Jian Wu 001 (Knowl. Based Syst., 2020)

Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation. - Jiayu Han; Lei Zheng 001; Yuanbo Xu; Bangzuo Zhang; Fuzhen Zhuang; Philip S. Yu; Wanli Zuo (IEEE Trans. Neural Networks Learn. Syst., 2020)

Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation. - Ziwei Fan 001; Zhiwei Liu 001; Shen Wang 005; Lei Zheng 001; Philip S. Yu (CIKM, 2021)

Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer. - Ziwei Fan 001; Zhiwei Liu 001; Jiawei Zhang 001; Yun Xiong; Lei Zheng 001; Philip S. Yu (CIKM, 2021)

Sequential Recommendation via Stochastic Self-Attention. - Ziwei Fan 001; Zhiwei Liu 001; Yu Wang 158; Alice Wang; Zahra Nazari; Lei Zheng 001; Hao Peng 001; Philip S. Yu (WWW, 2022)