Zhihua Wu

Orcid: 0000-0002-6761-2007

According to our database1, Zhihua Wu authored at least 43 papers between 1999 and 2024.

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Bibliography

2024
Addressing Heterogeneity in Federated Learning with Client Selection via Submodular Optimization.
ACM Trans. Sens. Networks, March, 2024

Code Comparison Tuning for Code Large Language Models.
CoRR, 2024

2023
HeterPS: Distributed deep learning with reinforcement learning based scheduling in heterogeneous environments.
Future Gener. Comput. Syst., November, 2023

PipePar: Enabling fast DNN pipeline parallel training in heterogeneous GPU clusters.
Neurocomputing, October, 2023

DeepAdaIn-Net: Deep Adaptive Device-Edge Collaborative Inference for Augmented Reality.
IEEE J. Sel. Top. Signal Process., September, 2023

Bioinspired figure-ground discrimination via visual motion smoothing.
PLoS Comput. Biol., 2023

RecycleGPT: An Autoregressive Language Model with Recyclable Module.
CoRR, 2023

A Robust Image Watermarking Scheme Based on Image Normalization and Contourlet Transform.
IEEE Access, 2023

Hierarchical Interest Modeling of Long-tailed Users for Click-Through Rate Prediction.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
Knowledge management and modern digital transformation of the property management industry in China.
J. Knowl. Manag., 2022

From Server-Based to Client-Based Machine Learning: A Comprehensive Survey.
ACM Comput. Surv., 2022

Efficient AlphaFold2 Training using Parallel Evoformer and Branch Parallelism.
CoRR, 2022

Boosting Distributed Training Performance of the Unpadded BERT Model.
CoRR, 2022

HelixFold: An Efficient Implementation of AlphaFold2 using PaddlePaddle.
CoRR, 2022

SE-MoE: A Scalable and Efficient Mixture-of-Experts Distributed Training and Inference System.
CoRR, 2022

Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters.
CoRR, 2022

TA-MoE: Topology-Aware Large Scale Mixture-of-Expert Training.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

PLATO-XL: Exploring the Large-scale Pre-training of Dialogue Generation.
Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022

2021
Comparisons of Differential Filtering and Homography Transformation in Modal Parameter Identification from UAV Measurement.
Sensors, 2021

ERNIE-ViLG: Unified Generative Pre-training for Bidirectional Vision-Language Generation.
CoRR, 2021

ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation.
CoRR, 2021

End-to-end Adaptive Distributed Training on PaddlePaddle.
CoRR, 2021

HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments.
CoRR, 2021

PLATO-XL: Exploring the Large-scale Pre-training of Dialogue Generation.
CoRR, 2021

ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation.
CoRR, 2021

ASCNet: Self-supervised Video Representation Learning with Appearance-Speed Consistency.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
MNN: A Universal and Efficient Inference Engine.
CoRR, 2020

Distributed Non-Convex Optimization with Sublinear Speedup under Intermittent Client Availability.
CoRR, 2020

Billion-scale federated learning on mobile clients: a submodel design with tunable privacy.
Proceedings of the MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, 2020

MNN: A Universal and Efficient Inference Engine.
Proceedings of Machine Learning and Systems 2020, 2020

An Image Watermarking Scheme Based on Voting Mechanism in Balanced Multiwavelet Domain.
Proceedings of the AIPR 2020: 3rd International Conference on Artificial Intelligence and Pattern Recognition, 2020

2019
Secure Federated Submodel Learning.
CoRR, 2019

Localizing JPEG Image Forgeries via SIFT and DCT Coefficient Analysis.
Proceedings of the 19th IEEE International Conference on Communication Technology, 2019

2018
XiaoA: A Robot Editor for Popularity Prediction of Online News Based on Ensemble Learning.
Proceedings of the Intelligence Science II, 2018

2017
Generation of low-gamma oscillations in a GABAergic network model of the striatum.
Neural Networks, 2017

2012
Some Fixed Point Theorems for Nonlinear Set-Valued Contractive Mappings.
J. Appl. Math., 2012

2011
A model study on the circuit mechanism underlying decision-making in Drosophila.
Neural Networks, 2011

2010
Independence of the unimodal tuning of firing rate from theta phase precession in hippocampal place cells.
Biol. Cybern., 2010

2007
A Computational Model of Formation of Grid Field and Theta Phase Precession in the Entorhinal Cells.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

2006
Conserving total synaptic weight ensures one-trial sequence learning of place fields in the hippocampus.
Neural Networks, 2006

2004
Input-dependent learning rule for the memory of spatiotemporal sequences in hippocampal network with theta phase precession.
Biol. Cybern., 2004

2000
An emergent mechanism of selective visual attention in <i>Drosophila</i>.
Biol. Cybern., 2000

1999
Selective visual attention in a neurocomputational model of phase oscillators.
Biol. Cybern., 1999


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