Zhihua Wu

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2026
Physics-aware unsupervised cross-domain adaptation for high-fidelity enhancement of underwater concrete crack imagery.
Expert Syst. Appl., 2026

2025
Plug and Play Detector Design for DC Microgrids With Unknown-Inputs-Based FDI Attack.
IEEE Trans. Smart Grid, May, 2025

Copy-Move Forgery Detection via Dimensionality Reduction and Double Quantization Feature.
IEICE Trans. Inf. Syst., 2025

A physical information guided method for bridge underwater crack detection based on two-stage pre-training learning with scarce samples.
Eng. Appl. Artif. Intell., 2025

DAMNet: Dynamic mobile architectures for Alzheimer's disease.
Comput. Biol. Medicine, 2025

StickMotion: Generating 3D Human Motions by Drawing a Stickman.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Capsule Network Based on Double-layer Attention Mechanism and Multi-scale Feature Extraction for Remaining Life Prediction.
Neural Process. Lett., June, 2024

Codesign of FDI Attacks Detection, Isolation, and Mitigation for Complex Microgrid Systems: An HBF-NN-Based Approach.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

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

An automatic detection method for cervical liquid-based cells based on improved Yolov5s network.
IET Image Process., 2024

Unsupervised learning method for underwater concrete crack image enhancement and augmentation based on cross domain translation strategy.
Eng. Appl. Artif. Intell., 2024

Exploring Scaling Laws for Local SGD in Large Language Model Training.
CoRR, 2024

ChuXin: 1.6B Technical Report.
CoRR, 2024

Efficient LLM Inference with Kcache.
CoRR, 2024

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

Mitigating Negative Transfer in Cross-Domain Recommendation via Knowledge Transferability Enhancement.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

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 the Third Conference on Machine Learning and Systems, 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 - Third IFIP TC12 International Conference, 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

Hippocampal theta phase coding for instantaneous acquisition of experienced events.
Proceedings of the IEEE International Joint Conference on Neural Networks, 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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