Hengyue Pan

Orcid: 0000-0002-2999-7401

According to our database¹, Hengyue Pan authored at least 33 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling.

[BibT_eX]

[DOI]

CoRR, 2024

TFDMNet: A Novel Network Structure Combines the Time Domain and Frequency Domain Features.

[BibT_eX]

[DOI]

CoRR, 2024

Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Recent Trends in Deep Learning Based Textual Emotion Cause Extraction.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2023

Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery.

[BibT_eX]

[DOI]

CoRR, 2023

TVT: Training-Free Vision Transformer Search on Tiny Datasets.

[BibT_eX]

[DOI]

CoRR, 2023

AutoRF: Auto Learning Receptive Fields with Spatial Pooling.

[BibT_eX]

[DOI]

Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

MENAS: Multi-trial Evolutionary Neural Architecture Search with Lottery Tickets.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2023

EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DMFormer: Closing the gap Between CNN and Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Progressive Meta-Pooling Learning for Lightweight Image Classification Model.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

RD-NAS: Enhancing One-Shot Supernet Ranking Ability Via Ranking Distillation From Zero-Cost Proxies.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Fixed-Size Objects Encoding for Visual Relationship Detection.

[BibT_eX]

[DOI]

Neural Process. Lett., 2022

ConvFormer: Closing the Gap Between CNN and Vision Transformers.

[BibT_eX]

[DOI]

CoRR, 2022

Prior-Guided One-shot Neural Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2022

Learning Convolutional Neural Networks in the Frequency Domain.

[BibT_eX]

[DOI]

CoRR, 2022

UENAS: A Unified Evolution-based NAS Framework.

[BibT_eX]

[DOI]

CoRR, 2022

Cross-Modal Knowledge Distillation in Multi-Modal Fake News Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

FAST: A Scalable Subgraph Matching Framework over Large Graphs.

[BibT_eX]

[DOI]

Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

2021

Graphcomm: A Graph Neural Network Based Method for Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

DropFilterR: A Novel Regularization Method for Learning Convolutional Neural Networks.

[BibT_eX]

[DOI]

Neural Process. Lett., 2020

Annealed gradient descent for deep learning.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Fixed-size Objects Encoding for Visual Relationship Detection.

[BibT_eX]

[DOI]

CoRR, 2020

A High-Throughput LDPC Decoder Based on GPUs for 5G New Radio.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computers and Communications, 2020

2018

DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Image Translation Between High-Resolution Remote Sensing Optical and SAR Data Using Conditional GAN.

[BibT_eX]

[DOI]

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

2017

Supervised Adversarial Networks for Image Saliency Detection.

[BibT_eX]

[DOI]

Hengyue Pan

Hui Jiang

CoRR, 2017

A fast method for saliency detection by back-propagating a convolutional neural network and clamping its partial outputs.

[BibT_eX]

[DOI]

Hengyue Pan

Hui Jiang

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Learning Convolutional Neural Networks using Hybrid Orthogonal Projection and Estimation.

[BibT_eX]

[DOI]

Hengyue Pan

Hui Jiang

Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016

A Deep Learning Based Fast Image Saliency Detection Algorithm.

[BibT_eX]

[DOI]

Hengyue Pan

Hui Jiang

CoRR, 2016

2015

Deep Learning for Object Saliency Detection and Image Segmentation.

[BibT_eX]

[DOI]

Hengyue Pan

Bo Wang

Hui Jiang

CoRR, 2015

Annealed Gradient Descent for Deep Learning.

[BibT_eX]

[DOI]

Hengyue Pan

Hui Jiang

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Hengyue Pan

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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