Chuanqi Han

Orcid: 0000-0002-3482-0475

According to our database1, Chuanqi Han authored at least 15 papers between 2020 and 2022.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
HCTNet: An experience-guided deep learning network for inter-patient arrhythmia classification on imbalanced dataset.
Biomed. Signal Process. Control., 2022

Rec-AUNet: Attentive UNet for Reconstruction of ECG from BCG.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
EasiEdge: A Novel Global Deep Neural Networks Pruning Method for Efficient Edge Computing.
IEEE Internet Things J., 2021

Causal and Non-causal Training: A Dynamic Gap-complementary Generative Framework for Session-based Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2021

Tag-aware Attentional Graph Neural Networks for Personalized Tag Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2021

Convolutional Feature-Interacted Factorization Machines for Sparse Contextual Prediction.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Gate Trimming: One-Shot Channel Pruning for Efficient Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2021

Length No Longer Matters: A Real Length Adaptive Arrhythmia Classification Model with Multi-Scale Convolution.
Proceedings of the IEEE International Conference on Acoustics, 2021

Joint Graph Contextualized Network for Sequential Recommendation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Entity-aware Collaborative Relation Network with Knowledge Graph for Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
TNAM: A tag-aware neural attention model for Top-N recommendation.
Neurocomputing, 2020

HFP: Hardware-Aware Filter Pruning for Deep Convolutional Neural Networks Acceleration.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

EasiECG: A Novel Inter-Patient Arrhythmia Classification Method using ECG Waves.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Calibration-free Blood Pressure Assessment Using An Integrated Deep Learning Method.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Background Learnable Cascade for Zero-Shot Object Detection.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020


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