Gongshen Liu

According to our database, Gongshen Liu authored at least 120 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Pengzhou Cheng, Zongru Wu, Gongshen Liu

CoRR, 2024

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

Pengzhou Cheng, Wei Du, Zongru Wu, Fengwei Zhang, Libo Chen, Gongshen Liu

CoRR, 2024

How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study.

Tianjie Ju, Weiwei Sun, Wei Du, Xinwei Yuan, Zhaochun Ren, Gongshen Liu

CoRR, 2024

Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space.

Zongru Wu, Zhuosheng Zhang, Pengzhou Cheng, Gongshen Liu

CoRR, 2024

Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models.

Tianjie Ju, Yijin Chen, Xinwei Yuan, Zhuosheng Zhang, Wei Du, Yubin Zheng, Gongshen Liu

CoRR, 2024

Improving Non-autoregressive Machine Translation with Error Exposure and Consistency Regularization.

Xinran Chen, Sufeng Duan, Gongshen Liu

CoRR, 2024

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

Yihao Li, Ru Zhang, Jianyi Liu, Gongshen Liu

CoRR, 2024

R-Judge: Benchmarking Safety Risk Awareness for LLM Agents.

Tongxin Yuan, Zhiwei He, Lingzhong Dong, Yiming Wang, Ruijie Zhao, Tian Xia, Lizhen Xu, Binglin Zhou, Fangqi Li, Zhuosheng Zhang, Rui Wang, Gongshen Liu

CoRR, 2024

2023

DESC-IDS: Towards an efficient real-time automotive intrusion detection system based on deep evolving stream clustering.

Pengzhou Cheng, Mu Han, Gongshen Liu

Future Gener. Comput. Syst., 2023

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

Zhuosheng Zhang, Yao Yao, Aston Zhang, Xiangru Tang, Xinbei Ma, Zhiwei He, Yiming Wang, Mark Gerstein, Rui Wang, Gongshen Liu, Hai Zhao

CoRR, 2023

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

Pengzhou Cheng, Zongru Wu, Wei Du, Haodong Zhao, Gongshen Liu

CoRR, 2023

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

Pengzhou Cheng, Lei Hua, Haobin Jiang, Mohammad Samie, Gongshen Liu

CoRR, 2023

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

Wei Du, Peixuan Li, Boqun Li, Haodong Zhao, Gongshen Liu

CoRR, 2023

SCS-VAE: Generate Style Headlines Via Novel Disentanglement.

Zhaoqian Zhu, Xiang Lin, Gongshen Liu, Bo Su, Tianhe Lu

Proceedings of the International Joint Conference on Neural Networks, 2023

Robust Secret Data Hiding for Transformer-based Neural Machine Translation.

Tianhe Lu, Gongshen Liu, Ru Zhang, Peixuan Li, Tianjie Ju

Proceedings of the International Joint Conference on Neural Networks, 2023

Neural Linguistic Steganography with Controllable Security.

Tianhe Lu, Gongshen Liu, Ru Zhang, Tianjie Ju

Proceedings of the International Joint Conference on Neural Networks, 2023

SDPSAT: Syntactic Dependency Parsing Structure-Guided Semi-Autoregressive Machine Translation.

Xinran Chen, Yuran Zhao, Jianming Guo, Sufeng Duan, Gongshen Liu

Proceedings of the Neural Information Processing - 30th International Conference, 2023

FedPrompt: Communication-Efficient and Privacy-Preserving Prompt Tuning in Federated Learning.

Haodong Zhao, Wei Du, Fangqi Li, Peixuan Li, Gongshen Liu

Proceedings of the IEEE International Conference on Acoustics, 2023

Semantic Information Mining and Fusion Method for Bot Detection.

Lijia Liang, Xinzhong Wang, Gongshen Liu

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.

Tianjie Ju, Yubin Zheng, Hanyi Wang, Haodong Zhao, Gongshen Liu

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.

Peixuan Li, Pengzhou Cheng, Fangqi Li, Wei Du, Haodong Zhao, Gongshen Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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

Haodong Zhao, Wei Du, Fangqi Li, Peixuan Li, Gongshen Liu

CoRR, 2022

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

Jiawei Li, Ru Zhang, Jianyi Liu, Gongshen Liu

CoRR, 2022

Multi-Objective Actor-Critics for Real-Time Bidding in Display Advertising.

Haolin Zhou, Chaoqi Yang, Xiaofeng Gao, Qiong Chen, Gongshen Liu, Guihai Chen

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

An Adversarial Approach for Unsupervised Syntax-Guided Paraphrase Generation.

Tang Xue, Yuran Zhao, Gongshen Liu, Xiaoyong Li

Proceedings of the Natural Language Processing and Chinese Computing, 2022

Improving Constituent Representation with Hypertree Neural Networks.

Hao Zhou, Gongshen Liu, Kewei Tu

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.

Haodong Zhao, Wei Du, Junjie Guo, Gongshen Liu

Proceedings of the Interspeech 2022, 2022

Label-Dividing Gated Graph Neural Network for Hierarchical Text Classification.

Siqi Zheng, Jie Zhou, Kui Meng, Gongshen Liu

Proceedings of the International Joint Conference on Neural Networks, 2022

SECT: A Successively Conditional Transformer for Controllable Paraphrase Generation.

Tang Xue, Yuran Zhao, Chaoqi Yang, Gongshen Liu, Xiaoyong Li

Proceedings of the International Joint Conference on Neural Networks, 2022

KLAttack: Towards Adversarial Attack and Defense on Neural Dependency Parsing Models.

Yutao Luo, Menghua Lu, Chaoqi Yang, Gongshen Liu, Shilin Wang

Proceedings of the International Joint Conference on Neural Networks, 2022

TIMS: A Novel Approach for Incrementally Few-Shot Text Instance Selection via Model Similarity.

Tianjie Ju, Han Liao, Gongshen Liu

Proceedings of the International Joint Conference on Neural Networks, 2022

Context Modeling with Hierarchical Shallow Attention Structure for Document-Level NMT.

Jianming Guo, Xinran Chen, Zihan Liu, Weijie Yuan, Jianshen Zhang, Gongshen Liu

Proceedings of the International Joint Conference on Neural Networks, 2022

Sense-aware BERT and Multi-task Fine-tuning for Multimodal Sentiment Analysis.

Lingyong Fang, Gongshen Liu, Ru Zhang

Proceedings of the International Joint Conference on Neural Networks, 2022

PPT: Backdoor Attacks on Pre-trained Models via Poisoned Prompt Tuning.

Wei Du, Yichun Zhao, Boqun Li, Gongshen Liu, Shilin Wang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Parallel Relationship Graph to Improve Multi-Document Summarization.

Menghua Lu, Lijia Liang, Gongshen Liu

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.

Yichun Zhao, Jintao Du, Gongshen Liu, Huijia Zhu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

A Multi-Task Dual-Tree Network for Aspect Sentiment Triplet Extraction.

Yichun Zhao, Kui Meng, Gongshen Liu, Jintao Du, Huijia Zhu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Few-shot Table-to-text Generation with Prefix-Controlled Generator.

Yutao Luo, Menghua Lu, Gongshen Liu, Shilin Wang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Large-Scale Malicious Software Classification With Fuzzified Features and Boosted Fuzzy Random Forest.

Fang-Qi Li, Shi-Lin Wang, Alan Wee-Chung Liew, Weiping Ding, Gongshen Liu

IEEE Trans. Fuzzy Syst., 2021

Text Generation with Syntax - Enhanced Variational Autoencoder.

Weijie Yuan, Linyi Ding, Kui Meng, Gongshen Liu

Proceedings of the International Joint Conference on Neural Networks, 2021

ASM: Augmentation-based Semantic Mechanism on Abstractive Summarization.

Weidong Ren, Hao Zhou, Gongshen Liu, Fei Huan

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.

Zhiyuan Ma, Ziyue Song, Haodong Zhao, Kui Meng, Gongshen Liu

Proceedings of the International Joint Conference on Neural Networks, 2021

A Multi -Role Graph Attention Network for Knowledge Graph Alignment.

Linyi Ding, Weijie Yuan, Kui Meng, Gongshen Liu

Proceedings of the International Joint Conference on Neural Networks, 2021

A Multi-Channel Graph Attention Network for Chinese NER.

Yichun Zhao, Kui Meng, Gongshen Liu

Proceedings of the Neural Information Processing - 28th International Conference, 2021

A Hierarchical Graph-Based Neural Network for Malware Classification.

Shuai Wang, Yuran Zhao, Gongshen Liu, Bo Su

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Speaker Verification with Disentangled Self-attention.

Junjie Guo, Zhiyuan Ma, Haodong Zhao, Gongshen Liu, Xiaoyong Li

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Dynamic Tuning and Weighting of Meta-learning for NMT Domain Adaptation.

Ziyue Song, Zhiyuan Ma, Kaiyue Qi, Gongshen Liu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Entity-Aware Abstractive Multi-Document Summarization.

Hao Zhou, Weidong Ren, Gongshen Liu, Bo Su, Wei Lu

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.

Ru Zhang, Feng Zhu, Jianyi Liu, Gongshen Liu

IEEE Trans. Inf. Forensics Secur., 2020

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

Chaoqi Yang, Junwei Lu, Xiaofeng Gao, Haishan Liu, Qiong Chen, Gongshen Liu, Guihai Chen

CoRR, 2020

Incorporating Named Entity Information into Neural Machine Translation.

Leiying Zhou, Wenjie Lu, Jie Zhou, Kui Meng, Gongshen Liu

Proceedings of the Natural Language Processing and Chinese Computing, 2020

Learning to Consider Relevance and Redundancy Dynamically for Abstractive Multi-document Summarization.

Yiding Liu, Xiaoning Fan, Jie Zhou, Chenglong He, Gongshen Liu

Proceedings of the Natural Language Processing and Chinese Computing, 2020

A Submodular Optimization-Based VAE-Transformer Framework for Paraphrase Generation.

Xiaoning Fan, Danyang Liu, Xuejian Wang, Yiding Liu, Gongshen Liu, Bo Su

Proceedings of the Natural Language Processing and Chinese Computing, 2020

Challenge Training to Simulate Inference in Machine Translation.

Wenjie Lu, Jie Zhou, Leiying Zhou, Gongshen Liu, Quanhai Zhang

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Unleashing the Potential of Attention Model for News Headline Generation.

Yong Liao, Kui Meng, Jianshen Zhang, Gongshen Liu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Multi-paragraph Reading Comprehension with Token-level Dynamic Reader and Hybrid Verifier.

Yilin Dai, Qian Ji, Gongshen Liu, Bo Su

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Neural Machine Translation with Soft Reordering Knowledge.

Leiying Zhou, Jie Zhou, Wenjie Lu, Kui Meng, Gongshen Liu

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Sparse Hierarchical Modeling of Deep Contextual Attention for Document-Level Neural Machine Translation.

Jianshen Zhang, Yong Liao, YongAn Li, Gongshen Liu

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Learning Interactions at Multiple Levels for Abstractive Multi-document Summarization.

Yiding Liu, Xiaoning Fan, Jie Zhou, Gongshen Liu

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Hierarchical Sentiment Estimation Model for Potential Topics of Individual Tweets.

Qian Ji, Yilin Dai, Yinghua Ma, Gongshen Liu, Quanhai Zhang, Xiang Lin

Proceedings of the Neural Information Processing - 27th International Conference, 2020

A Memory-Based Sentence Split and Rephrase Model with Multi-task Training.

Xiaoning Fan, Yiding Liu, Gongshen Liu, Bo Su

Proceedings of the Neural Information Processing - 27th International Conference, 2020

A Unified Labeling Model for Open-Domain Aspect-Based Sentiment Analysis.

Qian Ji, Xiang Lin, Yinghua Ma, Gongshen Liu, Shilin Wang

Proceedings of the 5th IEEE International Conference on Data Science in Cyberspace, 2020

A Mixed Learning Objective for Neural Machine Translation.

Wenjie Lu, Leiying Zhou, Gongshen Liu, Quanhai Zhang

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.

Hanwen Cao, Yongyi Lu, Bo Pang, Cewu Lu, Alan L. Yuille, Gongshen Liu

Proceedings of the 31st British Machine Vision Conference 2020, 2020

Hierarchy-Aware Global Model for Hierarchical Text Classification.

Jie Zhou, Chunping Ma, Dingkun Long, Guangwei Xu, Ning Ding, Haoyu Zhang, Pengjun Xie, Gongshen Liu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

A Character-Centric Neural Model for Automated Story Generation.

Danyang Liu, Juntao Li, Meng-Hsuan Yu, Ziming Huang, Gongshen Liu, Dongyan Zhao, Rui Yan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A global and local context integration DCNN for adult image classification.

Feng Cheng, Shi-Lin Wang, Xizi Wang, Alan Wee-Chung Liew, Gongshen Liu

Pattern Recognit., 2019

A Bayesian Possibilistic C-Means clustering approach for cervical cancer screening.

Fangqi Li, Shi-Lin Wang, Gongshen Liu

Inf. Sci., 2019

Dissect Sliced-RNN in Multi-Attention view.

Zeping Yu, Linqing Shi, Gongshen Liu

Aust. J. Intell. Inf. Process. Syst., 2019

Extensive Pyramid Networks for Text Classification.

Linqing Shi, Zeping Yu, Gongshen Liu

Aust. J. Intell. Inf. Process. Syst., 2019

A Three-Stage Training Method for Abstractive Summarization.

Linqing Shi, Danyang Liu, Gongshen Liu

Aust. J. Intell. Inf. Process. Syst., 2019

Dynamic Label Correction for Distant Supervision Relation Extraction via Semantic Similarity.

Xinyu Zhu, Gongshen Liu, Bo Su, Jan Pan Nees

Proceedings of the Natural Language Processing and Chinese Computing, 2019

Extending the Transformer with Context and Multi-dimensional Mechanism for Dialogue Response Generation.

Ruxin Tan, Jiahui Sun, Bo Su, Gongshen Liu

Proceedings of the Natural Language Processing and Chinese Computing, 2019

A Transformer-Based Variational Autoencoder for Sentence Generation.

Danyang Liu, Gongshen Liu

Proceedings of the International Joint Conference on Neural Networks, 2019

Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation.

Zeping Yu, Jianxun Lian, Ahmad Mahmoody, Gongshen Liu, Xing Xie

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Hierarchical Attention CNN and Entity-Aware for Relation Extraction.

Xinyu Zhu, Gongshen Liu, Bo Su

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Paragraph-Level Hierarchical Neural Machine Translation.

Yuqi Zhang, Kui Meng, Gongshen Liu

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Hie-Transformer: A Hierarchical Hybrid Transformer for Abstractive Article Summarization.

Xuewen Zhang, Kui Meng, Gongshen Liu

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Transformer-DW: A Transformer Network with Dynamic and Weighted Head.

Ruxin Tan, Jiahui Sun, Bo Su, Gongshen Liu

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Viewpoint Estimation in Images by a Key-Point Based Deep Neural Network.

Jiana Yang, Shilin Wang, Gongshen Liu

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Lip Image Segmentation in Mobile Devices Based on Alternative Knowledge Distillation.

Cheng Guan, Shilin Wang, Gongshen Liu, Alan Wee-Chung Liew

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

AUG-BERT: An Efficient Data Augmentation Algorithm for Text Classification.

Linqing Shi, Danyang Liu, Gongshen Liu, Kui Meng

Proceedings of the Communications, Signal Processing, and Systems, 2019

Next News Recommendation via Knowledge-Aware Sequential Model.

Qianfeng Chu, Gongshen Liu, Huanrong Sun, Cheng Zhou

Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019

Multiple Character Embeddings for Chinese Word Segmentation.

Jianing Zhou, Jingkang Wang, Gongshen Liu

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).

Zhaoying Sun, Gongshen Liu

计算机科学, 2018

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

Ru Zhang, Feng Zhu, Jianyi Liu, Gongshen Liu

CoRR, 2018

Analysis of Message Attacks in Aviation Data-Link Communication.

Ru Zhang, Gongshen Liu, Jianyi Liu, Jan P. Nees

IEEE Access, 2018

Neural Feedback Text Clustering With BiLSTM-CNN-Kmeans.

Yang Fan, Gongshen Liu, Meng Kui, Zhaoying Sun

IEEE Access, 2018

Paraphrase Identification Based on Weighted URAE, Unit Similarity and Context Correlation Feature.

Jie Zhou, Gongshen Liu, Huanrong Sun

Proceedings of the Natural Language Processing and Chinese Computing, 2018

LM Enhanced BiRNN-CRF for Joint Chinese Word Segmentation and POS Tagging.

Jianhu Zhang, Gongshen Liu, Jie Zhou, Cheng Zhou, Huanrong Sun

Proceedings of the Natural Language Processing and Chinese Computing, 2018

Five-Stroke Based CNN-BiRNN-CRF Network for Chinese Named Entity Recognition.

Fan Yang, Jianhu Zhang, Gongshen Liu, Jie Zhou, Cheng Zhou, Huanrong Sun

Proceedings of the Natural Language Processing and Chinese Computing, 2018

Benchmark snapshots for testing social network evolving algorithms.

Danyang Liu, Gongshen Liu, Kui Meng, Yuxuan He, Yutao Zhang

Proceedings of the 2018 International Conference on Identification, 2018

Leveraging Inner-Connection of Message Sequence for Traffic Classification: A Deep Learning Approach.

Renjie Jin, Guangtao Xue, Feng Lyu, Hao Sheng, Gongshen Liu, Minglu Li

Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

Adult Image Classification by a Local-Context Aware Network.

Xizi Wang, Feng Cheng, Shilin Wang, Huanrong Sun, Gongshen Liu, Cheng Zhou

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

3D Convolutional Neural Networks Based Speaker Identification and Authentication.

Jianguo Liao, Shilin Wang, Xingxuan Zhang, Gongshen Liu

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Detecting Double Jpeg Compression with Same Quantization Matrix Based on Dense Cnn Feature.

Xiaosa Huang, Shilin Wang, Gongshen Liu

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

A Unified Syntax-aware Framework for Semantic Role Labeling.

Zuchao Li, Shexia He, Jiaxun Cai, Zhuosheng Zhang, Hai Zhao, Gongshen Liu, Linlin Li, Luo Si

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.

Chen Huang, Gongshen Liu

Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence, 2018

Modeling Multi-turn Conversation with Deep Utterance Aggregation.

Zhuosheng Zhang, Jiangtong Li, Pengfei Zhu, Hai Zhao, Gongshen Liu

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Sliced Recurrent Neural Networks.

Zeping Yu, Gongshen Liu

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Steganalysis of Adaptive JPEG Steganography Based on ResDet.

Xiaosa Huang, Shilin Wang, Tanfeng Sun, Gongshen Liu, Xiang Lin

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

A Joint Selective Mechanism for Abstractive Sentence Summarization.

Junjie Fu, Gongshen Liu

Proceedings of The 10th Asian Conference on Machine Learning, 2018

2017

Overlapping Community Detection Based on Structural Centrality in Complex Networks.

Xiaofeng Wang, Gongshen Liu, Jianhua Li

IEEE Access, 2017

Exploitations of Uninitialized Uses on macOS Sierra.

Zhenquan Xu, Gongshen Liu, Tielei Wang, Hao Xu

Proceedings of the 11th USENIX Workshop on Offensive Technologies, 2017

Ada-copy: An Adaptive Memory Copy Strategy for Virtual Machine Live Migration.

Zhong Wang, Guangtao Xue, Shiyou Qian, Gongshen Liu, Minglu Li, Jian Cao, Jiadi Yu

Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, 2017

2016

Uncovering fuzzy communities in networks with structural similarity.

Xiaofeng Wang, Gongshen Liu, Li Pan, Jianhua Li

Neurocomputing, 2016

Toward interests drift mechanism for social network.

Yutao Zhang, Gongshen Liu, Jun Wu, Jianhua Li, Longhua Guo

Proceedings of the International Conference on Security of Smart Cities, 2016

GEV Regression with Convex Loss Applied to Imbalanced Binary Classification.

Haolin Zhang, Gongshen Liu, Li Pan, Kui Meng, Jianhua Li

Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016

Automatic Threshold Calculation Based Label Propagation Algorithm for Overlapping Community.

Gongshen Liu, Kui Meng, Hongyi Guo, Li Pan, Jianhua Li

Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016

2014

A detecting community method in complex networks with fuzzy clustering.

Xiaofeng Wang, Gongshen Liu, Jianhua Li

Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

An modularity-based overlapping community structure detecting algorithm.

Kui Meng, Gongshen Liu, Qiong Hu, Jianhua Li

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.

Gongshen Liu, Xiaoyun Ding, Bo Su, Kui Meng

J. Softw., 2013

An Improved Topic Detection Method for Chinese Microblog Based On Incremental Clustering.

Gongshen Liu, Kui Meng, Jing Xie

J. Softw., 2013

2010

Predicting the semantic orientation of movie reviews.

Gongshen Liu, Huoyao Lai, Luo Jun, Jiuchuan Lin

Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

Text Content Filtering Based on Chinese Character Reconstruction from Radicals.

Wenlei He, Gongshen Liu, Jun Luo, Jiuchuan Lin

Proceedings of the Forensics in Telecommunications, Information, and Multimedia, 2010

2008

A cross-language state mapping approach to bilingual (Mandarin-English) TTS.

Hui Liang, Yao Qian, Frank K. Soong, Gongshen Liu

Proceedings of the IEEE International Conference on Acoustics, 2008

A Biased Summary System and Its Implementation Technology.

Gongshen Liu

Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

2007

An Adaptive Collaborative Filtering Algorithm for Online Reputation Systems.

Min Zuo, Jianhua Li, Gongshen Liu

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.

Min Zuo, Jianhua Li, Gongshen Liu

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.

Gongshen Liu, Jianhua Li, Xiang Li, Qiang Li

Proceedings of the Digital Libraries: International Collaboration and Cross-Fertilization, 2004