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ORCIDLei Zheng 0001
Person information
- affiliation: University of Illinois at Chicago, Computer Science Department, IL, USA
Other persons with the same name
- Lei Zheng — disambiguation page
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2020 – today
- 2022
[c21]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: 2036-2047- [i12]Ziwei Fan, Zhiwei Liu, Yu Wang, Alice Wang, Zahra Nazari, Lei Zheng, Hao Peng, Philip S. Yu:
Sequential Recommendation via Stochastic Self-Attention. CoRR abs/2201.06035 (2022) - 2021
- [c20]Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu:
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer. CIKM 2021: 433-442 - [c19]Ziwei Fan, Zhiwei Liu, Shen Wang, Lei Zheng, Philip S. Yu:
Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation. CIKM 2021: 3019-3023 - [i11]Ziwei Fan, Zhiwei Liu, Lei Zheng, Shen Wang, Philip S. Yu:
Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation. CoRR abs/2106.06165 (2021) - [i10]Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu:
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer. CoRR abs/2108.06625 (2021) - 2020
- [j4]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) - [j3]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): 737-748 (2020)
2010 – 2019
- 2019
- [j2]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: 521-532 (2019) - [j1]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): 21:1-21:26 (2019) - [c18]Zhiwei Liu, Lei Zheng, Jiawei Zhang, Jiayu Han, Philip S. Yu:
JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation. IEEE BigData 2019: 850-859 - [c17]Chaozhuo Li, Lei Zheng, Senzhang Wang, Feiran Huang, Philip S. Yu, Zhoujun Li:
Multi-Hot Compact Network Embedding. CIKM 2019: 459-468 - [c16]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: 11-20 - [c15]Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Philip S. Yu:
Virtual Adversarial Training for Semi-supervised Verification Tasks. EUSIPCO 2019: 1-5 - [c14]Lei Zheng, Ziwei Fan, Chun-Ta Lu, Jiawei Zhang, Philip S. Yu:
Gated Spectral Units: Modeling Co-evolving Patterns for Sequential Recommendation. SIGIR 2019: 1077-1080 - [c13]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: 1081-1084 - [i9]Zhiwei Liu, Lei Zheng, Jiawei Zhang, Jiayu Han, Philip S. Yu:
JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation. CoRR abs/1910.08219 (2019) - 2018
- [c12]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: 181-188 - [c11]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: 56-64 - [c10]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: 911-920 - [c9]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: 447-456 - [c8]Fei Jiang, Lei Zheng, Jin Xu, Philip S. Yu:
FI-GRL: Fast Inductive Graph Representation Learning via Projection-Cost Preservation. ICDM 2018: 1067-1072 - [c7]Lei Zheng, Chun-Ta Lu, Fei Jiang, Jiawei Zhang, Philip S. Yu:
Spectral collaborative filtering. RecSys 2018: 311-319 - [i8]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 abs/1803.08986 (2018) - [i7]Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, Vahid Noroozi, He Huang, Philip S. Yu:
MARS: Memory Attention-Aware Recommender System. CoRR abs/1805.07037 (2018) - [i6]Yang Yang, Lei Zheng, Jiawei Zhang, Qingcai Cui, Zhoujun Li, Philip S. Yu:
TI-CNN: Convolutional Neural Networks for Fake News Detection. CoRR abs/1806.00749 (2018) - [i5]Lei Zheng, Chun-Ta Lu, Fei Jiang, Jiawei Zhang, Philip S. Yu:
Spectral Collaborative Filtering. CoRR abs/1808.10523 (2018) - [i4]Fei Jiang, Lei Zheng, Jin Xu, Philip S. Yu:
FI-GRL: Fast Inductive Graph Representation Learning via Projection-Cost Preservation. CoRR abs/1809.08079 (2018) - [i3]Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Weixiang Shao, Philip S. Yu:
Semi-supervised Deep Representation Learning for Multi-View Problems. CoRR abs/1811.04480 (2018) - 2017
- [c6]Lei Zheng, Bokai Cao, Vahid Noroozi, Philip S. Yu, Nianzu Ma:
Hierarchical collaborative embedding for context-aware recommendations. IEEE BigData 2017: 867-876 - [c5]Fengjiao Wang, Yongzhi Qu, Lei Zheng, Chun-Ta Lu, Philip S. Yu:
Deep and Broad Learning on Content-Aware POI Recommendation. CIC 2017: 369-378 - [c4]Vahid Noroozi, Lei Zheng, Sara Bahaadini, Sihong Xie, Philip S. Yu:
SEVEN: Deep Semi-supervised Verification Networks. IJCAI 2017: 2571-2577 - [c3]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: 747-755 - [c2]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: 817-823 - [c1]Lei Zheng, Vahid Noroozi, Philip S. Yu:
Joint Deep Modeling of Users and Items Using Reviews for Recommendation. WSDM 2017: 425-434 - [i2]Lei Zheng, Vahid Noroozi, Philip S. Yu:
Joint Deep Modeling of Users and Items Using Reviews for Recommendation. CoRR abs/1701.04783 (2017) - [i1]Vahid Noroozi, Lei Zheng, Sara Bahaadini, Sihong Xie, Philip S. Yu:
SEVEN: Deep Semi-supervised Verification Networks. CoRR abs/1706.03692 (2017)
Coauthor Index
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