Zhen Wang

Orcid: 0000-0002-8637-8375

Affiliations:
  • Zhejiang Lab, Research Center for Astronomical Computing, Hangzhou, China
  • University of Wyoming, Department of Computer Science, Laramie, WY, USA (PhD 2020)


According to our database1, Zhen Wang authored at least 26 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Toward Learning Joint Inference Tasks for IASS-MTS Using Dual Attention Memory With Stochastic Generative Imputation.
IEEE Trans. Neural Networks Learn. Syst., December, 2024

Attribute Diversity Aware Community Detection on Attributed Graphs Using Three-View Graph Attention Neural Networks.
ACM Trans. Knowl. Discov. Data, September, 2024

2023
JointContrast: Skeleton-Based Interaction Recognition with New Representation and Contrastive Learning.
Algorithms, April, 2023

Irregularly Sampled Multivariate Time Series Classification: A Graph Learning Approach.
IEEE Intell. Syst., 2023

Efficient Bilateral Cross-Modality Cluster Matching for Unsupervised Visible-Infrared Person ReID.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Hiding Visual Information via Obfuscating Adversarial Perturbations.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Cross-Modality Person Re-identification with Memory-Based Contrastive Embedding.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Constrained Dual-Level Bandit for Personalized Impression Regulation in Online Ranking Systems.
ACM Trans. Knowl. Discov. Data, 2022

Method and dataset entity mining in scientific literature: A CNN + BiLSTM model with self-attention.
Knowl. Based Syst., 2022

Sparse-Dyn: Sparse dynamic graph multirepresentation learning via event-based sparse temporal attention network.
Int. J. Intell. Syst., 2022

Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification.
Int. J. Intell. Syst., 2022

Neighbour Consistency Guided Pseudo-Label Refinement for Unsupervised Person Re-Identification.
CoRR, 2022

Visual Privacy Protection Based on Type-I Adversarial Attack.
CoRR, 2022

JointContrast: Skeleton-Based Mutual Action Recognition with Contrastive Learning.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Skeleton-Based Mutual Action Recognition Using Interactive Skeleton Graph and Joint Attention.
Proceedings of the Database and Expert Systems Applications, 2022

Knowledge Tracing Based on Gated Heterogeneous Graph Convolutional Networks.
Proceedings of the IEEE International Conference on Big Data, 2022

Debiased Learning of Self-Labeled Twitter Data for User Demographic Prediction.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Learning Probabilistic Latent Structure for Outlier Detection from Multi-view Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Improving Irregularly Sampled Time Series Learning with Time-Aware Dual-Attention Memory-Augmented Networks.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Method and Dataset Entity Mining in Scientific Literature: A CNN + Bi-LSTM Model with Self-attention.
CoRR, 2020

Towards a Hierarchical Bayesian Model of Multi-View Anomaly Detection.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
Learning recurrent residual regressors for single image super-resolution.
Signal Process., 2019

Music Classification using an Improved CRNN with Multi-Directional Spatial Dependencies in Both Time and Frequency Dimensions.
Proceedings of the International Joint Conference on Neural Networks, 2019

A Distributed Fair Machine Learning Framework with Private Demographic Data Protection.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Inductive Multi-view Semi-Supervised Anomaly Detection via Probabilistic Modeling.
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

Fraud Regulating Policy for E-Commerce via Constrained Contextual Bandits.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019


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