Zhenyi Wang

Orcid: 0000-0002-2780-9446

Affiliations:

University of Maryland, College Park, MD, USA

According to our database¹, Zhenyi Wang authored at least 44 papers between 2018 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2025

Revisiting Flatness-Aware Optimization in Continual Learning With Orthogonal Gradient Projection.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., May, 2025

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., March, 2025

Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Dynamic Neural Fortresses: An Adaptive Shield for Model Extraction Defense.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Continual Learning From a Stream of APIs.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Meta-Learning Without Data via Unconditional Diffusion Models.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., November, 2024

Retain and Adapt: Online Sequential EEG Classification With Subject Shift.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., September, 2024

Online continual decoding of streaming EEG signal with a balanced and informative memory buffer.

[BibT_eX]

[DOI]

Neural Networks, 2024

SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgery.

[BibT_eX]

[DOI]

CoRR, 2024

Meta-Adaptive Stock Movement Prediction with Two-Stage Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Model Sensitivity Aware Continual Learning.

[BibT_eX]

[DOI]

Zhenyi Wang

Heng Huang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Representation Surgery for Multi-Task Model Merging.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Defense against Model Extraction Attack by Bayesian Active Watermarking.

[BibT_eX]

[DOI]

Zhenyi Wang

Yihan Wu

Heng Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

AdaMerging: Adaptive Model Merging for Multi-Task Learning.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Unified and General Framework for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Improving Non-Transferable Representation Learning by Harnessing Content and Style.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Training A Secure Model Against Data-Free Model Extraction.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Few-Shot Class Incremental Learning with Attention-Aware Self-adaptive Prompt.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Free: Faster and Better Data-Free Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Distributionally Robust Memory Evolution With Generalized Divergence for Continual Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

UNCER: A framework for uncertainty estimation and reduction in neural decoding of EEG signals.

[BibT_eX]

[DOI]

Neurocomputing, June, 2023

Task-Distributionally Robust Data-Free Meta-Learning.

[BibT_eX]

[DOI]

CoRR, 2023

An Efficient Dataset Condensation Plugin and Its Application to Continual Learning.

[BibT_eX]

[DOI]

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

Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training.

[BibT_eX]

[DOI]

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

Learning to Learn from APIs: Black-Box Data-Free Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Data Augmented Flatness-aware Gradient Projection for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Distributionally Robust Cross Subject EEG Decoding.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

MetaMix: Towards Corruption-Robust Continual Learning with Temporally Self-Adaptive Data Transformation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Replay with Stochastic Neural Transformation for Online Continual EEG Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Uncertainty Detection in EEG Neural Decoding Models.

[BibT_eX]

[DOI]

CoRR, 2022

Meta-learning without data via Wasserstein distributionally-robust model fusion.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Improving Task-free Continual Learning by Distributionally Robust Memory Evolution.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Learn and Remember Super Long Multi-Domain Task Sequence.

[BibT_eX]

[DOI]

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

2021

Meta-Learning with Neural Tangent Kernels.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Bayesian Meta Sampling for Fast Uncertainty Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

Location Augmentation for CNN.

[BibT_eX]

[DOI]

Zhenyi Wang

Olga Veksler

CoRR, 2018

Zhenyi Wang

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