Ji He

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

Bibliography

2026
Early pneumoconiosis recognition from CT via progressive lesion awareness and multi-axis denoising attention mechanisms.
Pattern Recognit., 2026

2025
Domain adversarial wavelet convolutional neural network used for ALS and CSM identification with NEMG signal.
Biomed. Signal Process. Control., 2025

2024
MDC-RHT: Multi-Modal Medical Image Fusion via Multi-Dimensional Dynamic Convolution and Residual Hybrid Transformer.
Sensors, July, 2024

Crack-EdgeSAM Self-Prompting Crack Segmentation System for Edge Devices.
CoRR, 2024

Exploring Depth Information for Detecting Manipulated Face Videos.
CoRR, 2024

Covert Multicast in UAV-Enabled Wireless Communication Systems With One-hop and Two-hop Strategies.
CoRR, 2024

EMOST: A dual-branch hybrid network for medical image fusion via efficient model module and sparse transformer.
Comput. Biol. Medicine, 2024

Transmit Power and Flying Location Optimization for Time-Efficient Covert Multicast in UAV-Enabled Wireless Communication Systems.
Proceedings of the International Conference on Networking and Network Applications, 2024

On Mobile Covert Communication in Wireless Networks with a Full-Duplex Receiver.
Proceedings of the International Conference on Networking and Network Applications, 2024

Minimization of Age of Information for Satellite-Terrestrial Covert Communication with a Full-Duplex Receiver.
Proceedings of the International Conference on Networking and Network Applications, 2024

A Multi-branch Attention-based Deep Learning Method for ALS Identification with sMRI Data.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023
Domain Contrast Network for cross-muscle ALS disease identification with EMG signal.
Biomed. Signal Process. Control., April, 2023

ML-Based Detection Approaches for Covert Communication with Multi-D Signal Features.
Proceedings of the International Conference on Networking and Network Applications, 2023

A Review of Solving Non-IID Data in Federated Learning: Current Status and Future Directions.
IAIC (1), 2023

A Survey of Homogeneous and Heterogeneous Multi-source Information Fusion Based on Rough Set Theory.
IAIC (1), 2023

2022
Selective ensemble learning for cross-muscle ALS disease identification with EMG signal.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Wavelet-based Multi-branch Convolutional Neural Network for Cross-individual ALS Disease Identification with EMG Signal.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Omics feature learning for cross individual ALS disease identification with EMG signal.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Gray Scale Image Coloring Method Based on GAN.
Proceedings of the 3rd International Conference on Data Science and Information Technology, 2020

2017
Reinforcement Learning with External Knowledge and Two-Stage Q-functions for Predicting Popular Reddit Threads.
CoRR, 2017

Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Deep Reinforcement Learning with a Combinatorial Action Space for Predicting and Tracking Popular Discussion Threads.
CoRR, 2016

Interpreting the prediction process of a deep network constructed from supervised topic models.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Deep Reinforcement Learning with a Natural Language Action Space.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Recurrent Reinforcement Learning: A Hybrid Approach.
CoRR, 2015

Deep Reinforcement Learning with an Unbounded Action Space.
CoRR, 2015

End-to-end Learning of Latent Dirichlet Allocation by Mirror-Descent Back Propagation.
CoRR, 2015

End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Learning phrase patterns for ASR name error detection using semantic similarity.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

A 6bit 4GS/s current-steering digital-to-analog converter in 40nm CMOS with adjustable bias and DfT block.
Proceedings of the 2015 IEEE 11th International Conference on ASIC, 2015

2014
Effective data-driven feature learning for detecting name errors in automatic speech recognition.
Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014

2012
Turning a Monolingual Speaker into Multilingual for a Mixed-language TTS.
Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012

2011
Medicago truncatula gene regulatory network prediction server.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

2010
Improving Sequence Alignment Based Gene Functional Annotation with Natural Language Processing and Associative Clustering.
Proceedings of the Advances in Neural Networks, 2010

2009
The <i>Medicago truncatula </i>gene expression atlas web server.
BMC Bioinform., 2009

2008
Improving feature representation of natural language gene functional annotations using automatic term expansion.
Proceedings of the 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2008

2007
PLAN: a web platform for automating high-throughput BLAST searches and for managing and mining results.
BMC Bioinform., 2007

Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2007

2006
A Systematic Computational Approach for Transcription Factor Target Gene Prediction.
Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006

2004
Modified ART 2A growing network capable of generating a fixed number of nodes.
IEEE Trans. Neural Networks, 2004

Initialization of cluster refinement algorithms: a review and comparative study.
Proceedings of the IEEE International Joint Conference on Neural Networks, 2004

2003
On Machine Learning Methods for Chinese Document Categorization.
Appl. Intell., 2003

Self-organizing neural networks for efficient clustering of gene expression data.
Proceedings of the International Joint Conference on Neural Networks, 2003

On Quantitative Evaluation of Clustering Systems.
Proceedings of the Clustering and Information Retrieval, 2003

2001
Formally-Based Design Evaluation.
Proceedings of the Correct Hardware Design and Verification Methods, 2001

Specifying Hardware Timing with ET-L OTOS.
Proceedings of the Correct Hardware Design and Verification Methods, 2001

2000
Formal specification and analysis of digital hardware circuits in LOTOS.
PhD thesis, 2000

A Comparative Study on Chinese Text Categorization Methods.
Proceedings of the International Workshop on Text and Web Mining, 2000

Verifying and Testing Asynchronous Circuits using LOTOS.
Proceedings of the Formal Techniques for Distributed System Development, 2000

1999
Protocol-Inspired Hardware Testing.
Proceedings of the Testing of Communicating Systems: Method and Applications, 1999

Specification and Verification of Synchronous Hardware using LOTOS.
Proceedings of the Formal Methods for Protocol Engineering and Distributed Systems, 1999


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