We stand with Ukraine

We stand with Ukraine

Zijun Zhang

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

Bibliography

2025

ViTime: Foundation Model for Time Series Forecasting Powered by Vision Intelligence.

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Trans. Mach. Learn. Res., 2025

2024

Development and trending of deep learning methods for wind power predictions.

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Artif. Intell. Rev., May, 2024

IDSSI: Image Deturbulence with Semantic and Spatial-Temporal Information.

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Pattern Recognit., 2024

ViTime: A Visual Intelligence-Based Foundation Model for Time Series Forecasting.

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CoRR, 2024

DYNA: Disease-Specific Language Model for Variant Pathogenicity.

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CoRR, 2024

Efficient and Scalable Fine-Tune of Language Models for Genome Understanding.

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CoRR, 2024

CMTT-JTracker: a fully test-time adaptive framework serving automated cell lineage construction.

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Briefings Bioinform., 2024

CODA: A Correlation-Oriented Disentanglement and Augmentation Modeling Scheme for Better Resisting Subpopulation Shifts.

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

E-Transunet: Enhanced Transunet for Medical Image Segmentation.

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Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Domain Feature Perturbation for Domain Generalization.

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Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Fusion YOLO: Fusion Module Assisted Network in Detection for Automatic Target Scoring.

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Proceedings of the 7th International Conference on Algorithms, 2024

2023

Explainable Multilayer Graph Neural Network for cancer gene prediction.

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Michail Chatzianastasis

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Michalis Vazirgiannis

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Bioinform., November, 2023

EAF-WGAN: Enhanced Alignment Fusion-Wasserstein Generative Adversarial Network for Turbulent Image Restoration.

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IEEE Trans. Circuits Syst. Video Technol., October, 2023

ProPath: Disease-Specific Protein Language Model for Variant Pathogenicity.

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CoRR, 2023

Reusability report: Prostate cancer stratification with diverse biologically-informed neural architectures.

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Christian Pedersen

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Tiberiu Tesileanu

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Miles D. Cranmer

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CoRR, 2023

Your time series is worth a binary image: machine vision assisted deep framework for time series forecasting.

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CoRR, 2023

Lark: Verified Cross-Domain Access Control for Trusted Execution Environments.

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Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Towards Robust Graph Incremental Learning on Evolving Graphs.

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Proceedings of the International Conference on Machine Learning, 2023

2022

Rubik's Cube Operator: A Plug And Play Permutation Module for Better Arranging High Dimensional Industrial Data in Deep Convolutional Processes.

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CoRR, 2022

Is your access allowed or not? A Verified Tag-based Access Control Framework for the Multi-domain TEE.

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Proceedings of the Internetware 2022: 13th Asia-Pacific Symposium on Internetware, Hohhot, China, June 11, 2022

2020

Multiple instance deep learning for weakly-supervised visual object tracking.

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Signal Process. Image Commun., 2020

Human-computer interaction based on face feature localization.

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J. Vis. Commun. Image Represent., 2020

Effects of functional electrical stimulation on neuromuscular function after targeted muscle reinnervation surgery in rats<sup>*</sup>.

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Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Improving Deep Neural Networks: Optimization, Regularization, and Generative Modeling.

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PhD thesis, 2019

Neural Architecture Search for Joint Optimization of Predictive Power and Biological Knowledge.

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CoRR, 2019

Perceptual Generative Autoencoders.

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Proceedings of the Deep Generative Models for Highly Structured Data, 2019

2018

Removing the Feature Correlation Effect of Multiplicative Noise.

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Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Improved Adam Optimizer for Deep Neural Networks.

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Proceedings of the 26th IEEE/ACM International Symposium on Quality of Service, 2018

2017

Normalized Direction-preserving Adam.

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CoRR, 2017

DEF: an automated dead-end filling approach based on quasi-endosymbiosis.

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Bioinform., 2017

Optimal Posted Prices for Online Cloud Resource Allocation.

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Proceedings of the 2017 ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, Urbana-Champaign, IL, USA, June 05, 2017

A Scalable and Distributed Approach for NFV Service Chain Cost Minimization.

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Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

2013

An Integrative Bioinformatics Framework for Genome-scale Multiple Level Network Reconstruction of Rice.

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J. Integr. Bioinform., 2013

Min-cost wireless multihop networks in Euclidean space.

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Proceedings of the International Symposium on Network Coding, 2013

2009

A Research on Instability of Small Flow in SCADA and an Optimizing Design for Control.

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Proceedings of the Computational Science and Its Applications, 2009

2007

Consistent data for inconsistent XML document.

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Inf. Softw. Technol., 2007

Computing Repairs for Inconsistent XML Document Using Chase.

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Proceedings of the Advances in Data and Web Management, 2007

2003

Quantum generation of neural networks.

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Ravichandra Sriram

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Proceedings of the International Joint Conference on Neural Networks, 2003

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