Guanlin Li

Orcid: 0000-0003-0774-2878

According to our database1, Guanlin Li authored at least 58 papers between 2011 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Unveiling Human Values: Analyzing Emotions behind Arguments.
Entropy, April, 2024

A survey on multi-lingual offensive language detection.
PeerJ Comput. Sci., 2024

Image harmonization with Simple Hybrid CNN-Transformer Network.
Neural Networks, 2024

Differential Graph Convolution Network for point cloud understanding.
Neurocomputing, 2024

Semi-LLIE: Semi-supervised Contrastive Learning with Mamba-based Low-light Image Enhancement.
CoRR, 2024

A new baseline for edge detection: Make Encoder-Decoder great again.
CoRR, 2024

ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users.
CoRR, 2024

TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios.
CoRR, 2024

PRIME: Protect Your Videos From Malicious Editing.
CoRR, 2024

AquaLoRA: Toward White-box Protection for Customized Stable Diffusion Models via Watermark LoRA.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

SF-MCTS: Score Feedback Monte Carlo Tree Search for Digital Curling in Continuous State Space.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Incomplete Multi-View Representation Learning Through Anchor Graph-Based GCN and Information Bottleneck.
Proceedings of the IEEE International Conference on Acoustics, 2024

Fingerprinting Image-to-Image Generative Adversarial Networks.
Proceedings of the 9th IEEE European Symposium on Security and Privacy, 2024

Improving Cross-lingual Transfer with Contrastive Negative Learning and Self-training.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Secure Decentralized Image Classification With Multiparty Homomorphic Encryption.
IEEE Trans. Circuits Syst. Video Technol., July, 2023

Singular Regularization with Information Bottleneck Improves Model's Adversarial Robustness.
CoRR, 2023

Rethinking Adversarial Training with Neural Tangent Kernel.
CoRR, 2023

Towards the Vulnerability of Watermarking Artificial Intelligence Generated Content.
CoRR, 2023

Adversarial Training Over Long-Tailed Distribution.
CoRR, 2023

Omnipotent Adversarial Training for Unknown Label-noisy and Imbalanced Datasets.
CoRR, 2023

Fine-Grained Emotions Influence on Implicit Hate Speech Detection.
IEEE Access, 2023

KDED: A Knowledge Distillation Based Edge Detector.
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

PiDiNeXt: An Efficient Edge Detector Based on Parallel Pixel Difference Networks.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Emotionally-Bridged Cross-Lingual Meta-Learning for Chinese Sexism Detection.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

Extracting Robust Models with Uncertain Examples.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Reform and Practice of Digital Image Processing Case Teaching Based on Attention Mechanism.
Proceedings of the 12th IEEE International Conference on Educational and Information Technology, 2023

Person Attributes Recognition Based on Hierarchical Classification.
Proceedings of the 7th International Conference on Algorithms, Computing and Systems, 2023

2022
Low-Light Hyperspectral Image Enhancement.
IEEE Trans. Geosci. Remote. Sens., 2022

A Benchmark of Long-tailed Instance Segmentation with Noisy Labels (Short Version).
CoRR, 2022

Privacy-preserving Decentralized Deep Learning with Multiparty Homomorphic Encryption.
CoRR, 2022

SoK: Rethinking Sensor Spoofing Attacks against Robotic Vehicles from a Systematic View.
CoRR, 2022

ShiftNAS: Towards Automatic Generation of Advanced Mulitplication-Less Neural Networks.
CoRR, 2022

Investment Algorithm based on the Psychological Expectation.
Proceedings of the ICCMS 2022: The 14th International Conference on Computer Modeling and Simulation, Chongqing, China, June 24, 2022

Improving Adversarial Robustness of 3D Point Cloud Classification Models.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Detecting Source Contextual Barriers for Understanding Neural Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Attending From Foresight: A Novel Attention Mechanism for Neural Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

MotionInput v2.0 supporting DirectX: A modular library of open-source gesture-based machine learning and computer vision methods for interacting and controlling existing software with a webcam.
CoRR, 2021

A Stealthy and Robust Fingerprinting Scheme for Generative Models.
CoRR, 2021

2020
Bounded confidence dynamics and graph control: Enforcing consensus.
Networks Heterog. Media, 2020

SCNet: A Neural Network for Automated Side-Channel Attack.
CoRR, 2020

Understanding Learning Dynamics for Neural Machine Translation.
CoRR, 2020

Detecting and Understanding Generalization Barriers for Neural Machine Translation.
CoRR, 2020

Detecting Research Fronts and Potentially Valuable Papers Using Paper Metadata.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

The Construction and Practice of Electronic Technology Course Based on ICC.
Proceedings of the ICDLT 2020: 4th International Conference on Deep Learning Technologies, 2020

Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Evaluating Explanation Methods for Neural Machine Translation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Convolution Neural Network-Based Prediction of Protein Thermostability.
J. Chem. Inf. Model., 2019

Understanding and Improving Hidden Representations for Neural Machine Translation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Graph Attention Neural Networks for Point Cloud Recognition.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

On the Word Alignment from Neural Machine Translation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Approximate Distribution Matching for Sequence-to-Sequence Learning.
CoRR, 2018

Generative Bridging Network for Neural Sequence Prediction.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2017
Neural Sequence Prediction by Coaching.
CoRR, 2017

2016
The design of impedance matching between long cable and ultrasonic transducer under seawater.
Proceedings of the IECON 2016, 2016

2012
GIMC architecture for linear systems with a single <i>I</i>/<i>O</i> delay.
J. Frankl. Inst., 2012

Image recognition of plant diseases based on principal component analysis and neural networks.
Proceedings of the Eighth International Conference on Natural Computation, 2012

2011
Image Recognition of Grape Downy Mildew and Grape Powdery Mildew Based on Support Vector Machine.
Proceedings of the Computer and Computing Technologies in Agriculture V, 2011


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