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Fine-grained visual explanations for the convolutional neural network via class discriminative deconvolution

Multimedia tools and applications, 2022, Vol.81 (2), p.2733-2756

2022

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Improving Speech Translation by Understanding the Speech From Latent Code

IEEE signal processing letters, 2024, Vol.31, p.1259-1263

2024

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A lightweight packet forwarding verification in SDN using sketch

Computers & security, 2024-09, Vol.144, p.103906, Article 103906

2024

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Exploring global sentence representation for graph-based dependency parsing using BLSTM-SCNN

Pattern recognition letters, 2018-04, Vol.105, p.96-104

2018

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Attribute-guided attention and dependency learning for improving person re-identification based on data analysis technology

Enterprise information systems, 2023-03, Vol.17 (3)

2023

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Improving Speech Translation by Cross-modal Multi-grained Contrastive Learning

IEEE/ACM transactions on audio, speech, and language processing, 2023-01, Vol.31, p.1-12

2023

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Decoupled Non-Parametric Knowledge Distillation for end-to-End Speech Translation

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-5

2023

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Visualization of spatial matching features during deep person re-identification

Journal of ambient intelligence and humanized computing, 2020-02

2020

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Spatial-Channel Attention-Based Class Activation Mapping for Interpreting CNN-Based Image Classification Models

Security and communication networks, 2021-05, Vol.2021, p.1-13

2021

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Statistical Chinese Word Segmentation Using Domain Dictionaries

International journal of simulation systems, science & technology, 2016-01

2016

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Chinese POS Tagging with Attention-Based Long Short-Term Memory Network

Advances in Intelligent Systems and Interactive Applications, p.586-592

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Remote Sensing Image Object Detection Algorithm Combining Attention

Proceedings of the 2023 9th International Conference on Computing and Artificial Intelligence, 2023, p.1-7

2023

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A Simple and Effective Method to Defend Against Saliency Map Attack

International Conference on Frontiers of Electronics, Information and Computation Technologies, 2021, p.1-8

2021

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A Targeted Adversarial Attack Method against Person Re-identification Model

2021 IEEE 3rd International Conference on Frontiers Technology of Information and Computer (ICFTIC), 2021, p.313-316

2021

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Research on the network security equipment allocation problem based on Monte Carlo tree search and machine learning

Civil, Architecture and Environmental Engineering, 2017, Vol.2, p.1313-1318

1, 2017

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Cooperative multi-agent target searching: a deep reinforcement learning approach based on parallel hindsight experience replay

Complex & intelligent systems, 2023-10, Vol.9 (5), p.4887-4898

2023

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Fine-grained visual explanations for the convolutional neural network via class discriminative deconvolution

Improving Speech Translation by Understanding the Speech From Latent Code

A lightweight packet forwarding verification in SDN using sketch

Exploring global sentence representation for graph-based dependency parsing using BLSTM-SCNN

Attribute-guided attention and dependency learning for improving person re-identification based on data analysis technology

Improving Speech Translation by Cross-modal Multi-grained Contrastive Learning

Decoupled Non-Parametric Knowledge Distillation for end-to-End Speech Translation

Visualization of spatial matching features during deep person re-identification

Spatial-Channel Attention-Based Class Activation Mapping for Interpreting CNN-Based Image Classification Models

Statistical Chinese Word Segmentation Using Domain Dictionaries

Chinese POS Tagging with Attention-Based Long Short-Term Memory Network

Remote Sensing Image Object Detection Algorithm Combining Attention

A Simple and Effective Method to Defend Against Saliency Map Attack

A Targeted Adversarial Attack Method against Person Re-identification Model

Research on the network security equipment allocation problem based on Monte Carlo tree search and machine learning

Cooperative multi-agent target searching: a deep reinforcement learning approach based on parallel hindsight experience replay

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