We stand with Ukraine

We stand with Ukraine

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 24 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

on orcid.org
on scholar.google.com

On csauthors.net:

Bibliography

2024

MaskFuser: Masked Fusion of Joint Multi-Modal Tokenization for End-to-End Autonomous Driving.

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CoRR, 2024

Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages.

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Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

SIN: Semantic Inference Network for Few-Shot Streaming Label Learning.

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IEEE Trans. Neural Networks Learn. Syst., December, 2023

Trust-Region Adaptive Frequency for Online Continual Learning.

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Int. J. Comput. Vis., July, 2023

Cross task neural architecture search for EEG signal recognition.

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Neurocomputing, 2023

DeWave: Discrete EEG Waves Encoding for Brain Dynamics to Text Translation.

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CoRR, 2023

Domain-Specific Denoising Diffusion Probabilistic Models for Brain Dynamics.

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CoRR, 2023

Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning.

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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DeWave: Discrete Encoding of EEG Waves for EEG to Text Translation.

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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adaptive Self-Supervised Continual Learning.

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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.

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Neurocomputing, 2022

Cross Task Neural Architecture Search for EEG Signal Classifications.

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CoRR, 2022

A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning.

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CoRR, 2022

Input Enhanced Logarithmic Factorization Network for CTR Prediction.

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Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Online Continual Learning with Contrastive Vision Transformer.

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Proceedings of the Computer Vision - ECCV 2022, 2022

Balancing Stability and Plasticity Through Advanced Null Space in Continual Learning.

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Proceedings of the Computer Vision - ECCV 2022, 2022

Continual Learning with Lifelong Vision Transformer.

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Continual Learning through Retrieval and Imagination.

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Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Dual Adaptive Factorization Network for CTR Prediction.

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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).

[BibT_eX]

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Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Dual Input-aware Factorization Machine for CTR Prediction.

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Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Deep Streaming Label Learning.

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Proceedings of the 37th International Conference on Machine Learning, 2020

2019

An Input-aware Factorization Machine for Sparse Prediction.

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Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

DBSVEC: Density-Based Clustering Using Support Vector Expansion.

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Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

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