Hengyue Pan

Orcid: 0000-0002-2999-7401

According to our database1, Hengyue Pan authored at least 32 papers between 2015 and 2024.

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

Timeline

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Links

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Bibliography

2024
TFDMNet: A Novel Network Structure Combines the Time Domain and Frequency Domain Features.
CoRR, 2024

Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Recent Trends in Deep Learning Based Textual Emotion Cause Extraction.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery.
CoRR, 2023

TVT: Training-Free Vision Transformer Search on Tiny Datasets.
CoRR, 2023

AutoRF: Auto Learning Receptive Fields with Spatial Pooling.
Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

MENAS: Multi-trial Evolutionary Neural Architecture Search with Lottery Tickets.
Proceedings of the IEEE International Conference on Image Processing, 2023

EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DMFormer: Closing the gap Between CNN and Vision Transformers.
Proceedings of the IEEE International Conference on Acoustics, 2023

Progressive Meta-Pooling Learning for Lightweight Image Classification Model.
Proceedings of the IEEE International Conference on Acoustics, 2023

RD-NAS: Enhancing One-Shot Supernet Ranking Ability Via Ranking Distillation From Zero-Cost Proxies.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Fixed-Size Objects Encoding for Visual Relationship Detection.
Neural Process. Lett., 2022

ConvFormer: Closing the Gap Between CNN and Vision Transformers.
CoRR, 2022

Prior-Guided One-shot Neural Architecture Search.
CoRR, 2022

Learning Convolutional Neural Networks in the Frequency Domain.
CoRR, 2022

UENAS: A Unified Evolution-based NAS Framework.
CoRR, 2022

Cross-Modal Knowledge Distillation in Multi-Modal Fake News Detection.
Proceedings of the IEEE International Conference on Acoustics, 2022

FAST: A Scalable Subgraph Matching Framework over Large Graphs.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

2021
Graphcomm: A Graph Neural Network Based Method for Multi-Agent Reinforcement Learning.
Proceedings of the IEEE International Conference on Acoustics, 2021

Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
DropFilterR: A Novel Regularization Method for Learning Convolutional Neural Networks.
Neural Process. Lett., 2020

Annealed gradient descent for deep learning.
Neurocomputing, 2020

Fixed-size Objects Encoding for Visual Relationship Detection.
CoRR, 2020

A High-Throughput LDPC Decoder Based on GPUs for 5G New Radio.
Proceedings of the IEEE Symposium on Computers and Communications, 2020

2018
DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks.
CoRR, 2018

Image Translation Between High-Resolution Remote Sensing Optical and SAR Data Using Conditional GAN.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

2017
Supervised Adversarial Networks for Image Saliency Detection.
CoRR, 2017

A fast method for saliency detection by back-propagating a convolutional neural network and clamping its partial outputs.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Learning Convolutional Neural Networks using Hybrid Orthogonal Projection and Estimation.
Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016
A Deep Learning Based Fast Image Saliency Detection Algorithm.
CoRR, 2016

2015
Deep Learning for Object Saliency Detection and Image Segmentation.
CoRR, 2015

Annealed Gradient Descent for Deep Learning.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015


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