Zhenyi Wang

Orcid: 0000-0001-5120-2663

According to our database1, Zhenyi Wang authored at least 51 papers between 2011 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Performance Prediction for Deep Learning Models With Pipeline Inference Strategy.
IEEE Internet Things J., January, 2024

Graph-Reinforcement-Learning-Based Dependency-Aware Microservice Deployment in Edge Computing.
IEEE Internet Things J., January, 2024

A Unified and General Framework for Continual Learning.
CoRR, 2024

Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt.
CoRR, 2024

Representation Surgery for Multi-Task Model Merging.
CoRR, 2024

2023
Distributionally Robust Memory Evolution With Generalized Divergence for Continual Learning.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Regional Thermal Radiation Characteristics of FY Satellite Remote Sensing Based on Big Data Analysis.
Sensors, October, 2023

Efficient and accurate compound scaling for convolutional neural networks.
Neural Networks, October, 2023

Privacy-Preserving Regulation Capacity Evaluation for HVAC Systems in Heterogeneous Buildings Based on Federated Learning and Transfer Learning.
IEEE Trans. Smart Grid, September, 2023

Energy-Efficient and QoS-Aware Computation Offloading in GEO/LEO Hybrid Satellite Networks.
Remote. Sens., July, 2023

UNCER: A framework for uncertainty estimation and reduction in neural decoding of EEG signals.
Neurocomputing, June, 2023

Deep-Learning-Based Carrier Frequency Offset Estimation and Its Cross-Evaluation in Multiple-Channel Models.
Inf., February, 2023

Task-Distributionally Robust Data-Free Meta-Learning.
CoRR, 2023

AdaMerging: Adaptive Model Merging for Multi-Task Learning.
CoRR, 2023

Continual Learning From a Stream of APIs.
CoRR, 2023

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning.
CoRR, 2023

Customized Load Profiles Synthesis for Electricity Customers Based on Conditional Diffusion Models.
CoRR, 2023

An Efficient Dataset Condensation Plugin and Its Application to Continual Learning.
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.
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.
Proceedings of the International Conference on Machine Learning, 2023

Data Augmented Flatness-aware Gradient Projection for Continual Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Distributionally Robust Cross Subject EEG Decoding.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Node-dependent Semantic Search over Heterogeneous Graph Neural Networks.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Retrieving GNN Architecture for Collaborative Filtering.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Replay with Stochastic Neural Transformation for Online Continual EEG Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Microservice Deployment in Edge Computing Based on Deep Q Learning.
IEEE Trans. Parallel Distributed Syst., 2022

Online social network individual depression detection using a multitask heterogenous modality fusion approach.
Inf. Sci., 2022

Uncertainty Detection in EEG Neural Decoding Models.
CoRR, 2022

Profiling the Design Space for Graph Neural Networks based Collaborative Filtering.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Meta-learning without data via Wasserstein distributionally-robust model fusion.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Improving Task-free Continual Learning by Distributionally Robust Memory Evolution.
Proceedings of the International Conference on Machine Learning, 2022

Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Learn and Remember Super Long Multi-Domain Task Sequence.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Meta-Learning with Neural Tangent Kernels.
Proceedings of the 9th International Conference on Learning Representations, 2021

Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Pose Filter-Based Ensemble Learning Enables Discovery of Orally Active, Nonsteroidal Farnesoid X Receptor Agonists.
J. Chem. Inf. Model., 2020

A Multitask Deep Learning Approach for User Depression Detection on Sina Weibo.
CoRR, 2020

A Multimodal Feature Fusion-Based Method for Individual Depression Detection on Sina Weibo.
Proceedings of the 39th IEEE International Performance Computing and Communications Conference, 2020

Bayesian Meta Sampling for Fast Uncertainty Adaptation.
Proceedings of the 8th International Conference on Learning Representations, 2020

Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Predicting Antimicrobial Peptides by Using Increment of Diversity with Quadratic Discriminant Analysis Method.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

2018
Location Augmentation for CNN.
CoRR, 2018

Implementation and Analysis of Improved RO PUFs with Latch Structure.
Proceedings of the International Conference on Networking and Network Applications, 2018

2016
Top Management Team Heterogeneity Influence on Technological Innovation - The Empirical Analysis on the IT Enterprises from Six.
Proceedings of the 15th Wuhan International Conference on E-Business, 2016

2014
Design of the virtual reality roam system for ancient city.
Proceedings of the 2nd International Conference on Systems and Informatics, 2014

2011
The Pricing Mechanism of Suppliers in Risk-sharing in External Financing.
Proceedings of the ICEIS 2011, 2011


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