Yang Gu

Orcid: 0000-0003-1031-468X

Affiliations:
  • Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China


According to our database1, Yang Gu authored at least 50 papers between 2014 and 2025.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2025
Agent-in-the-loop to distill expert knowledge into artificial intelligence models: a survey.
Artif. Intell. Rev., September, 2025

Ten Challenging Problems in Federated Foundation Models.
IEEE Trans. Knowl. Data Eng., July, 2025

PhysCL: Knowledge-Aware Contrastive Learning of Physiological Signal Models for Cuff-Less Blood Pressure Estimation.
IEEE J. Biomed. Health Informatics, July, 2025

Grade-Skewed Domain Adaptation via Asymmetric Bi-Classifier Discrepancy Minimization for Diabetic Retinopathy Grading.
IEEE Trans. Medical Imaging, March, 2025

A Survey on Unlearnable Data.
CoRR, March, 2025

DDIR: Domain-Disentangled Invariant Representation learning for tailored predictions.
Knowl. Based Syst., 2025

DDC: Dynamic distribution calibration for few-shot learning under multi-scale representation.
Knowl. Based Syst., 2025

HYMAN: Hybrid Memory and Attention Network for Unsupervised Anomaly Detection.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Contrast Memory for Unsupervised Anomaly Detection.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Semantic-oriented Visual Prompt Learning for Class Incremental Learning.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Learning Critically: Selective Self-Distillation in Federated Learning on Non-IID Data.
IEEE Trans. Big Data, December, 2024

Self-supervised Learning for Electroencephalogram: A Systematic Survey.
CoRR, 2024

Cascade Memory for Unsupervised Anomaly Detection.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Information Retrieval Optimization for Non-Exemplar Class Incremental Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Wafformer: Wave-Frequency Cross-Prediction and Alignment for Knowledge-Enhanced Sleep Representation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Class-imbalanced Time Series Adaptation via Multi-Expert Consistency Entropy Minimization.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Utilizing Attention-based Ensemble Mechanism to Identify Discriminative Feature Combinations for Sleep Staging.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
FewShotBP: Towards Personalized Ubiquitous Continuous Blood Pressure Measurement.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 2023

A Knowledge-Driven Cross-view Contrastive Learning for EEG Representation.
CoRR, 2023

Time Series Adaptation Network for Sensor-Based Cross Domain Human Activity Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2023

Discriminative Domain Adaptation Network for Fine-grained Disease Severity Classification.
Proceedings of the International Joint Conference on Neural Networks, 2023

Pre-training A Prompt Pool for Vision-Language Model.
Proceedings of the International Joint Conference on Neural Networks, 2023

Letting Go of Self-Domain Awareness: Multi-Source Domain-Adversarial Generalization via Dynamic Domain-Weighted Contrastive Transfer Learning.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Auto-Augmentation Contrastive Learning for Wearable-based Human Activity Recognition.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
A wearable-HAR oriented sensory data generation method based on spatio-temporal reinforced conditional GANs.
Neurocomputing, 2022

Dual-Alignment Based Generalized Zero-shot Learning for Human Activity Recognition.
Proceedings of the IEEE Smartworld, 2022

Motion-Robust Respiratory Signal Reconstruction Using Smart Glasses.
Proceedings of the IEEE Smartworld, 2022

An Efficient Spatial-Temporal Representation Method for EEG Emotion Recognition.
Proceedings of the IEEE Smartworld, 2022

KiCi: A Knowledge Importance Based Class Incremental Learning Method for Wearable Activity Recognition.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
A Collaborative Multi-modal Fusion Method Based on Random Variational Information Bottleneck for Gesture Recognition.
Proceedings of the MultiMedia Modeling - 27th International Conference, 2021

2020
A Multimodal Fusion Model Based on Hybrid Attention Mechanism for Gesture Recognition.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

Highly Fluent Sign Language Synthesis Based on Variable Motion Frame Interpolation.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Multi-Layer Cross Loss Model for Zero-Shot Human Activity Recognition.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

A Lightweight Fully Convolutional Neural Network of High Accuracy Surface Defect Detection.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

A Mobile Cloud Collaboration Fall Detection System Based on Ensemble Learning.
Proceedings of the ASSETS '20: The 22nd International ACM SIGACCESS Conference on Computers and Accessibility, 2020

2019
A Mobile Cloud Collaboration Fall Detection System Based on Ensemble Learning.
CoRR, 2019

A Collaborative Multi-modality Selection Method Based on Data Utility Assessment.
Proceedings of the 2019 IEEE SmartWorld, 2019

Indoor Trajectory Restoration Method Based on PoI Relation Constraints.
Proceedings of the 2019 IEEE SmartWorld, 2019

CoFINLo: Coarse to Fine Indoor Navigation and Localization System.
Proceedings of the 2019 IEEE SmartWorld, 2019

Poster Abstract: Know You Better: a Smart Watch Based Health Monitoring System.
Proceedings of the 4th IEEE/ACM International Conference on Connected Health: Applications, 2019

2018
FSELM: fusion semi-supervised extreme learning machine for indoor localization with Wi-Fi and Bluetooth fingerprints.
Soft Comput., 2018

SensoryGANs: An Effective Generative Adversarial Framework for Sensor-based Human Activity Recognition.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2016
Feature Adaptive Online Sequential Extreme Learning Machine for lifelong indoor localization.
Neural Comput. Appl., 2016

Heterogeneous Data Driven Manifold Regularization Model for Fingerprint Calibration Reduction.
Proceedings of the 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, 2016

OCEAN: a new opportunistic computing model for wearable activity recognition.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016

2015
Semi-supervised deep extreme learning machine for Wi-Fi based localization.
Neurocomputing, 2015

Online deep intelligence for Wi-Fi indoor localization.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015

2014
TOSELM: Timeliness Online Sequential Extreme Learning Machine.
Neurocomputing, 2014

Constraint Online Sequential Extreme Learning Machine for lifelong indoor localization system.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

SAP dissimilarity based high performance Wi-Fi indoor localization.
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014


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