Gongshen Liu

Orcid: 0000-0001-5194-1570

According to our database1, Gongshen Liu authored at least 131 papers between 2004 and 2024.

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Bibliography

2024
LSF-IDM: Deep learning-based lightweight semantic fusion intrusion detection model for automotive.
Peer Peer Netw. Appl., September, 2024

Convolutional Feature Aggregation Network With Self-Supervised Learning and Decision Fusion for SAR Target Recognition.
IEEE Trans. Instrum. Meas., 2024

Transferring Backdoors between Large Language Models by Knowledge Distillation.
CoRR, 2024

Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent Communities.
CoRR, 2024

TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models.
CoRR, 2024

MKF-ADS: Multi-Knowledge Fusion Based Self-supervised Anomaly Detection System for Control Area Network.
CoRR, 2024

Syntactic Ghost: An Imperceptible General-purpose Backdoor Attacks on Pre-trained Language Models.
CoRR, 2024

An Enhanced Prompt-Based LLM Reasoning Scheme via Knowledge Graph-Integrated Collaboration.
CoRR, 2024

Less Defined Knowledge and More True Alarms: Reference-based Phishing Detection without a Pre-defined Reference List.
Proceedings of the 33rd USENIX Security Symposium, 2024

Improving Non-autoregressive Machine Translation with Error Exposure and Consistency Regularization.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

Multi-Grained Multimodal Interaction Network for Sentiment Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2024

NWS: Natural Textual Backdoor Attacks Via Word Substitution.
Proceedings of the IEEE International Conference on Acoustics, 2024

FashionGPT: A Large Vision-Language Model for Enhancing Fashion Understanding.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

R-Judge: Benchmarking Safety Risk Awareness for LLM Agents.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Backdoor NLP Models via AI-Generated Text.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

UOR: Universal Backdoor Attacks on Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
DESC-IDS: Towards an efficient real-time automotive intrusion detection system based on deep evolving stream clustering.
Future Gener. Comput. Syst., 2023

Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents.
CoRR, 2023

Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review.
CoRR, 2023

LSF-IDM: Automotive Intrusion Detection Model with Lightweight Attribution and Semantic Fusion.
CoRR, 2023

UOR: Universal Backdoor Attacks on Pre-trained Language Models.
CoRR, 2023

SCS-VAE: Generate Style Headlines Via Novel Disentanglement.
Proceedings of the International Joint Conference on Neural Networks, 2023

Robust Secret Data Hiding for Transformer-based Neural Machine Translation.
Proceedings of the International Joint Conference on Neural Networks, 2023

Neural Linguistic Steganography with Controllable Security.
Proceedings of the International Joint Conference on Neural Networks, 2023

SDPSAT: Syntactic Dependency Parsing Structure-Guided Semi-Autoregressive Machine Translation.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

FedPrompt: Communication-Efficient and Privacy-Preserving Prompt Tuning in Federated Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

Semantic Information Mining and Fusion Method for Bot Detection.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

Is Continuous Prompt a Combination of Discrete Prompts? Towards a Novel View for Interpreting Continuous Prompts.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

PLMmark: A Secure and Robust Black-Box Watermarking Framework for Pre-trained Language Models.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Reduce Communication Costs and Preserve Privacy: Prompt Tuning Method in Federated Learning.
CoRR, 2022

LogKernel A Threat Hunting Approach Based on Behaviour Provenance Graph and Graph Kernel Clustering.
CoRR, 2022

Multi-Objective Actor-Critics for Real-Time Bidding in Display Advertising.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

An Adversarial Approach for Unsupervised Syntax-Guided Paraphrase Generation.
Proceedings of the Natural Language Processing and Chinese Computing, 2022

Improving Constituent Representation with Hypertree Neural Networks.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

A Universal Identity Backdoor Attack against Speaker Verification based on Siamese Network.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Label-Dividing Gated Graph Neural Network for Hierarchical Text Classification.
Proceedings of the International Joint Conference on Neural Networks, 2022

SECT: A Successively Conditional Transformer for Controllable Paraphrase Generation.
Proceedings of the International Joint Conference on Neural Networks, 2022

KLAttack: Towards Adversarial Attack and Defense on Neural Dependency Parsing Models.
Proceedings of the International Joint Conference on Neural Networks, 2022

TIMS: A Novel Approach for Incrementally Few-Shot Text Instance Selection via Model Similarity.
Proceedings of the International Joint Conference on Neural Networks, 2022

Context Modeling with Hierarchical Shallow Attention Structure for Document-Level NMT.
Proceedings of the International Joint Conference on Neural Networks, 2022

Sense-aware BERT and Multi-task Fine-tuning for Multimodal Sentiment Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2022

PPT: Backdoor Attacks on Pre-trained Models via Poisoned Prompt Tuning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Parallel Relationship Graph to Improve Multi-Document Summarization.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

TransAdv: A Translation-based Adversarial Learning Framework for Zero-Resource Cross-Lingual Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

A Multi-Task Dual-Tree Network for Aspect Sentiment Triplet Extraction.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Few-shot Table-to-text Generation with Prefix-Controlled Generator.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Large-Scale Malicious Software Classification With Fuzzified Features and Boosted Fuzzy Random Forest.
IEEE Trans. Fuzzy Syst., 2021

Text Generation with Syntax - Enhanced Variational Autoencoder.
Proceedings of the International Joint Conference on Neural Networks, 2021

ASM: Augmentation-based Semantic Mechanism on Abstractive Summarization.
Proceedings of the International Joint Conference on Neural Networks, 2021

Bridging the Gap of Dimensions in Distillation: Understanding the knowledge transfer between different-dimensional semantic spaces.
Proceedings of the International Joint Conference on Neural Networks, 2021

A Multi -Role Graph Attention Network for Knowledge Graph Alignment.
Proceedings of the International Joint Conference on Neural Networks, 2021

A Multi-Channel Graph Attention Network for Chinese NER.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

A Hierarchical Graph-Based Neural Network for Malware Classification.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Speaker Verification with Disentangled Self-attention.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Dynamic Tuning and Weighting of Meta-learning for NMT Domain Adaptation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Entity-Aware Abstractive Multi-Document Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Depth-Wise Separable Convolutions and Multi-Level Pooling for an Efficient Spatial CNN-Based Steganalysis.
IEEE Trans. Inf. Forensics Secur., 2020

MoTiAC: Multi-Objective Actor-Critics for Real-Time Bidding.
CoRR, 2020

Incorporating Named Entity Information into Neural Machine Translation.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

Learning to Consider Relevance and Redundancy Dynamically for Abstractive Multi-document Summarization.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

A Submodular Optimization-Based VAE-Transformer Framework for Paraphrase Generation.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

Challenge Training to Simulate Inference in Machine Translation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Unleashing the Potential of Attention Model for News Headline Generation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Multi-paragraph Reading Comprehension with Token-level Dynamic Reader and Hybrid Verifier.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Neural Machine Translation with Soft Reordering Knowledge.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Sparse Hierarchical Modeling of Deep Contextual Attention for Document-Level Neural Machine Translation.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Learning Interactions at Multiple Levels for Abstractive Multi-document Summarization.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Hierarchical Sentiment Estimation Model for Potential Topics of Individual Tweets.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

A Memory-Based Sentence Split and Rephrase Model with Multi-task Training.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

A Unified Labeling Model for Open-Domain Aspect-Based Sentiment Analysis.
Proceedings of the 5th IEEE International Conference on Data Science in Cyberspace, 2020

A Mixed Learning Objective for Neural Machine Translation.
Proceedings of the Chinese Computational Linguistics - 19th China National Conference, CCL 2020, Hainan, China, October 30, 2020

ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

Hierarchy-Aware Global Model for Hierarchical Text Classification.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

A Character-Centric Neural Model for Automated Story Generation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A global and local context integration DCNN for adult image classification.
Pattern Recognit., 2019

A Bayesian Possibilistic C-Means clustering approach for cervical cancer screening.
Inf. Sci., 2019

Dissect Sliced-RNN in Multi-Attention view.
Aust. J. Intell. Inf. Process. Syst., 2019

Extensive Pyramid Networks for Text Classification.
Aust. J. Intell. Inf. Process. Syst., 2019

A Three-Stage Training Method for Abstractive Summarization.
Aust. J. Intell. Inf. Process. Syst., 2019

Dynamic Label Correction for Distant Supervision Relation Extraction via Semantic Similarity.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Extending the Transformer with Context and Multi-dimensional Mechanism for Dialogue Response Generation.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

A Transformer-Based Variational Autoencoder for Sentence Generation.
Proceedings of the International Joint Conference on Neural Networks, 2019

Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Hierarchical Attention CNN and Entity-Aware for Relation Extraction.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Paragraph-Level Hierarchical Neural Machine Translation.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Hie-Transformer: A Hierarchical Hybrid Transformer for Abstractive Article Summarization.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Transformer-DW: A Transformer Network with Dynamic and Weighted Head.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Viewpoint Estimation in Images by a Key-Point Based Deep Neural Network.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Lip Image Segmentation in Mobile Devices Based on Alternative Knowledge Distillation.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

AUG-BERT: An Efficient Data Augmentation Algorithm for Text Classification.
Proceedings of the Communications, Signal Processing, and Systems, 2019

Next News Recommendation via Knowledge-Aware Sequential Model.
Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019

Multiple Character Embeddings for Chinese Word Segmentation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
面向短文本的神经网络聚类算法研究 (Research on Neural Network Clustering Algorithm for Short Text).
计算机科学, 2018

Efficient feature learning and multi-size image steganalysis based on CNN.
CoRR, 2018

Analysis of Message Attacks in Aviation Data-Link Communication.
IEEE Access, 2018

Neural Feedback Text Clustering With BiLSTM-CNN-Kmeans.
IEEE Access, 2018

Paraphrase Identification Based on Weighted URAE, Unit Similarity and Context Correlation Feature.
Proceedings of the Natural Language Processing and Chinese Computing, 2018

LM Enhanced BiRNN-CRF for Joint Chinese Word Segmentation and POS Tagging.
Proceedings of the Natural Language Processing and Chinese Computing, 2018

Five-Stroke Based CNN-BiRNN-CRF Network for Chinese Named Entity Recognition.
Proceedings of the Natural Language Processing and Chinese Computing, 2018

Benchmark snapshots for testing social network evolving algorithms.
Proceedings of the 2018 International Conference on Identification, 2018

Leveraging Inner-Connection of Message Sequence for Traffic Classification: A Deep Learning Approach.
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

Adult Image Classification by a Local-Context Aware Network.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

3D Convolutional Neural Networks Based Speaker Identification and Authentication.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Detecting Double Jpeg Compression with Same Quantization Matrix Based on Dense Cnn Feature.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

A Unified Syntax-aware Framework for Semantic Role Labeling.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Sentiment Analysis of Network Comments Based on GCNN.
Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence, 2018

Modeling Multi-turn Conversation with Deep Utterance Aggregation.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Sliced Recurrent Neural Networks.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Steganalysis of Adaptive JPEG Steganography Based on ResDet.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

A Joint Selective Mechanism for Abstractive Sentence Summarization.
Proceedings of The 10th Asian Conference on Machine Learning, 2018

2017
Overlapping Community Detection Based on Structural Centrality in Complex Networks.
IEEE Access, 2017

Exploitations of Uninitialized Uses on macOS Sierra.
Proceedings of the 11th USENIX Workshop on Offensive Technologies, 2017

Ada-copy: An Adaptive Memory Copy Strategy for Virtual Machine Live Migration.
Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, 2017

2016
Uncovering fuzzy communities in networks with structural similarity.
Neurocomputing, 2016

Toward interests drift mechanism for social network.
Proceedings of the International Conference on Security of Smart Cities, 2016

GEV Regression with Convex Loss Applied to Imbalanced Binary Classification.
Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016

Automatic Threshold Calculation Based Label Propagation Algorithm for Overlapping Community.
Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016

2014
A detecting community method in complex networks with fuzzy clustering.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

An modularity-based overlapping community structure detecting algorithm.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013
A Text Information Hiding Algorithm Based on Alternatives.
J. Softw., 2013

An Improved Topic Detection Method for Chinese Microblog Based On Incremental Clustering.
J. Softw., 2013

2010
Predicting the semantic orientation of movie reviews.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

Text Content Filtering Based on Chinese Character Reconstruction from Radicals.
Proceedings of the Forensics in Telecommunications, Information, and Multimedia, 2010

2008
A cross-language state mapping approach to bilingual (Mandarin-English) TTS.
Proceedings of the IEEE International Conference on Acoustics, 2008

A Biased Summary System and Its Implementation Technology.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

2007
An Adaptive Collaborative Filtering Algorithm for Online Reputation Systems.
Proceedings of the Third International IEEE Conference on Signal-Image Technologies and Internet-Based System, 2007

A Discussion on Personalized Trust Management for Flat P2P Communities.
Proceedings of the Third International IEEE Conference on Signal-Image Technologies and Internet-Based System, 2007

2004
New Feature Selection and Weighting Methods Based on Category Information.
Proceedings of the Digital Libraries: International Collaboration and Cross-Fertilization, 2004


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