Zhen Wang

Orcid: 0000-0001-5350-4569

Affiliations:
  • University of Sydney, Department of Computer Science, NSW, Australia
  • Tsinghua University, Graduate School at Shenzhen, China (former)


According to our database1, Zhen Wang authored at least 17 papers between 2019 and 2023.

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Timeline

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Bibliography

2023
SIN: Semantic Inference Network for Few-Shot Streaming Label Learning.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Trust-Region Adaptive Frequency for Online Continual Learning.
Int. J. Comput. Vis., July, 2023

Cross task neural architecture search for EEG signal recognition.
Neurocomputing, 2023

Adaptive Self-Supervised Continual Learning.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
Position-aware image captioning with spatial relation.
Neurocomputing, 2022

A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning.
CoRR, 2022

Input Enhanced Logarithmic Factorization Network for CTR Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Online Continual Learning with Contrastive Vision Transformer.
Proceedings of the Computer Vision - ECCV 2022, 2022

Balancing Stability and Plasticity Through Advanced Null Space in Continual Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Continual Learning with Lifelong Vision Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Continual Learning through Retrieval and Imagination.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Dual Adaptive Factorization Network for CTR Prediction.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

Multi-label Few-shot Learning with Semantic Inference (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
A Dual Input-aware Factorization Machine for CTR Prediction.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Deep Streaming Label Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
An Input-aware Factorization Machine for Sparse Prediction.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

DBSVEC: Density-Based Clustering Using Support Vector Expansion.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019


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