We stand with Ukraine

We stand with Ukraine

Lei Zheng

Orcid: 0000-0002-9043-2506

Affiliations:

University of Illinois at Chicago, Computer Science Department, IL, USA

According to our database¹, Lei Zheng authored at least 27 papers between 2017 and 2022.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2022

Sequential Recommendation via Stochastic Self-Attention.

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Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021

Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer.

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Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation.

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Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation.

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IEEE Trans. Neural Networks Learn. Syst., 2020

Multi-view factorization machines for mobile app recommendation based on hierarchical attention.

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Knowl. Based Syst., 2020

2019

An Attention-augmented Deep Architecture for Hard Drive Status Monitoring in Large-scale Storage Systems.

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ACM Trans. Storage, 2019

Deep Latent Factor Model with Hierarchical Similarity Measure for recommender systems.

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Inf. Sci., 2019

Deep Distribution Network: Addressing the Data Sparsity Issue for Top-N Recommendation.

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Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Gated Spectral Units: Modeling Co-evolving Patterns for Sequential Recommendation.

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Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Virtual Adversarial Training for Semi-supervised Verification Tasks.

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Proceedings of the 27th European Signal Processing Conference, 2019

MARS: Memory Attention-Aware Recommender System.

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Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

Multi-Hot Compact Network Embedding.

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Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation.

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Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

TI-CNN: Convolutional Neural Networks for Fake News Detection.

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CoRR, 2018

MARS: Memory Attention-Aware Recommender System.

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CoRR, 2018

Spectral collaborative filtering.

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Proceedings of the 12th ACM Conference on Recommender Systems, 2018

FI-GRL: Fast Inductive Graph Representation Learning via Projection-Cost Preservation.

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Proceedings of the IEEE International Conference on Data Mining, 2018

Distribution Distance Minimization for Unsupervised User Identity Linkage.

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Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

PER: A Probabilistic Attentional Model for Personalized Text Recommendations.

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Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Semi-supervised Deep Representation Learning for Multi-View Problems.

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Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Representation Learning with Depth and Breadth for Recommendation Using Multi-view Data.

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Proceedings of the Web and Big Data - Second International Joint Conference, 2018

2017

Joint Deep Modeling of Users and Items Using Reviews for Recommendation.

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Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

A novel ensemble approach on regionalized neural networks for brain disorder prediction.

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Proceedings of the Symposium on Applied Computing, 2017

DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection.

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Andrea Piscitello

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Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

SEVEN: Deep Semi-supervised Verification Networks.

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Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Deep and Broad Learning on Content-Aware POI Recommendation.

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Proceedings of the 3rd IEEE International Conference on Collaboration and Internet Computing, 2017

Hierarchical collaborative embedding for context-aware recommendations.

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Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

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