Gongshen Liu

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 125

Top Venues

Publications

Tianjie Ju, Weiwei Sun, Wei Du, Xinwei Yuan, Zhaochun Ren, Gongshen Liu
How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study. CoRR (2024)
Tongxin Yuan, Zhiwei He, Lingzhong Dong, Yiming Wang, Ruijie Zhao, Tian Xia, Lizhen Xu, Binglin Zhou, Fangqi Li, Zhuosheng Zhang, Rui Wang, Gongshen Liu
R-Judge: Benchmarking Safety Risk Awareness for LLM Agents. CoRR (2024)
Tianjie Ju, Weiwei Sun, Wei Du, Xinwei Yuan, Zhaochun Ren, Gongshen Liu
How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study. LREC/COLING (2024)
Ruofan Liu, Yun Lin, Xiwen Teoh, Gongshen Liu, Zhiyong Huang, Jin Song Dong
Less Defined Knowledge and More True Alarms: Reference-based Phishing Detection without a Pre-defined Reference List. USENIX Security Symposium (2024)
Tianjie Ju, Yiting Wang, Xinbei Ma, Pengzhou Cheng, Haodong Zhao, Yulong Wang, Lifeng Liu, Jian Xie, Zhuosheng Zhang, Gongshen Liu
Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent Communities. CoRR (2024)
Zongru Wu, Zhuosheng Zhang, Pengzhou Cheng, Gongshen Liu
Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space. CoRR (2024)
Yihao Li, Ru Zhang, Jianyi Liu, Gongshen Liu
An Enhanced Prompt-Based LLM Reasoning Scheme via Knowledge Graph-Integrated Collaboration. CoRR (2024)
Wei Du, Tianjie Ju, Ge Ren, Gaolei Li, Gongshen Liu
Backdoor NLP Models via AI-Generated Text. LREC/COLING (2024)
Tianjie Ju, Yijin Chen, Xinwei Yuan, Zhuosheng Zhang, Wei Du, Yubin Zheng, Gongshen Liu
Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models. CoRR (2024)
Pengzhou Cheng, Yidong Ding, Tianjie Ju, Zongru Wu, Wei Du, Ping Yi, Zhuosheng Zhang, Gongshen Liu
TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models. CoRR (2024)
Pengzhou Cheng, Wei Du, Zongru Wu, Fengwei Zhang, Libo Chen, Gongshen Liu
Syntactic Ghost: An Imperceptible General-purpose Backdoor Attacks on Pre-trained Language Models. CoRR (2024)
Tianjie Ju, Yijin Chen, Xinwei Yuan, Zhuosheng Zhang, Wei Du, Yubin Zheng, Gongshen Liu
Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models. ACL (1) (2024)
Pengzhou Cheng, Zongru Wu, Gongshen Liu
MKF-ADS: Multi-Knowledge Fusion Based Self-supervised Anomaly Detection System for Control Area Network. CoRR (2024)
Wei Du, Peixuan Li, Haodong Zhao, Tianjie Ju, Ge Ren, Gongshen Liu
UOR: Universal Backdoor Attacks on Pre-trained Language Models. ACL (Findings) (2024)
Lingyong Fang, Gongshen Liu, Ru Zhang
Multi-Grained Multimodal Interaction Network for Sentiment Analysis. ICASSP (2024)
Xinran Chen, Sufeng Duan, Gongshen Liu
Improving Non-autoregressive Machine Translation with Error Exposure and Consistency Regularization. CoRR (2024)
Zongru Wu, Zhuosheng Zhang, Pengzhou Cheng, Gongshen Liu
Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space. ACL (1) (2024)
Wei Du, Tongxin Yuan, Haodong Zhao, Gongshen Liu
NWS: Natural Textual Backdoor Attacks Via Word Substitution. ICASSP (2024)
Peixuan Li, Pengzhou Cheng, Fangqi Li, Wei Du, Haodong Zhao, Gongshen Liu
PLMmark: A Secure and Robust Black-Box Watermarking Framework for Pre-trained Language Models. AAAI (2023)
Lijia Liang, Xinzhong Wang, Gongshen Liu
Semantic Information Mining and Fusion Method for Bot Detection. ICANN (9) (2023)
Tianhe Lu, Gongshen Liu, Ru Zhang, Tianjie Ju
Neural Linguistic Steganography with Controllable Security. IJCNN (2023)
Wei Du, Peixuan Li, Boqun Li, Haodong Zhao, Gongshen Liu
UOR: Universal Backdoor Attacks on Pre-trained Language Models. CoRR (2023)
Haodong Zhao, Wei Du, Fangqi Li, Peixuan Li, Gongshen Liu
FedPrompt: Communication-Efficient and Privacy-Preserving Prompt Tuning in Federated Learning. ICASSP (2023)
Pengzhou Cheng, Mu Han, Gongshen Liu
DESC-IDS: Towards an efficient real-time automotive intrusion detection system based on deep evolving stream clustering. Future Gener. Comput. Syst. 140 (2023)
Tianjie Ju, Yubin Zheng, Hanyi Wang, Haodong Zhao, Gongshen Liu
Is Continuous Prompt a Combination of Discrete Prompts? Towards a Novel View for Interpreting Continuous Prompts. ACL (Findings) (2023)
Haodong Zhao, Wei Du, Junjie Guo, Gongshen Liu
A Universal Identity Backdoor Attack against Speaker Verification based on Siamese Network. CoRR (2023)
Zhaoqian Zhu, Xiang Lin, Gongshen Liu, Bo Su, Tianhe Lu
SCS-VAE: Generate Style Headlines Via Novel Disentanglement. IJCNN (2023)
Pengzhou Cheng, Lei Hua, Haobin Jiang, Mohammad Samie, Gongshen Liu
LSF-IDM: Automotive Intrusion Detection Model with Lightweight Attribution and Semantic Fusion. CoRR (2023)
Pengzhou Cheng, Zongru Wu, Wei Du, Haodong Zhao, Gongshen Liu
Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review. CoRR (2023)
Tianhe Lu, Gongshen Liu, Ru Zhang, Peixuan Li, Tianjie Ju
Robust Secret Data Hiding for Transformer-based Neural Machine Translation. IJCNN (2023)
Zhuosheng Zhang, Yao Yao, Aston Zhang, Xiangru Tang, Xinbei Ma, Zhiwei He, Yiming Wang, Mark Gerstein, Rui Wang, Gongshen Liu, Hai Zhao
Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents. CoRR (2023)
Xinran Chen, Yuran Zhao, Jianming Guo, Sufeng Duan, Gongshen Liu
SDPSAT: Syntactic Dependency Parsing Structure-Guided Semi-Autoregressive Machine Translation. ICONIP (8) (2023)
Haolin Zhou, Chaoqi Yang, Xiaofeng Gao, Qiong Chen, Gongshen Liu, Guihai Chen
Multi-Objective Actor-Critics for Real-Time Bidding in Display Advertising. ECML/PKDD (4) (2022)
Menghua Lu, Lijia Liang, Gongshen Liu
Parallel Relationship Graph to Improve Multi-Document Summarization. ICANN (2) (2022)
Jiawei Li, Ru Zhang, Jianyi Liu, Gongshen Liu
LogKernel A Threat Hunting Approach Based on Behaviour Provenance Graph and Graph Kernel Clustering. CoRR (2022)
Yichun Zhao, Jintao Du, Gongshen Liu, Huijia Zhu
TransAdv: A Translation-based Adversarial Learning Framework for Zero-Resource Cross-Lingual Named Entity Recognition. EMNLP (Findings) (2022)
Yutao Luo, Menghua Lu, Gongshen Liu, Shilin Wang
Few-shot Table-to-text Generation with Prefix-Controlled Generator. COLING (2022)
Hao Zhou, Gongshen Liu, Kewei Tu
Improving Constituent Representation with Hypertree Neural Networks. NAACL-HLT (2022)
Tang Xue, Yuran Zhao, Gongshen Liu, Xiaoyong Li
An Adversarial Approach for Unsupervised Syntax-Guided Paraphrase Generation. NLPCC (1) (2022)
Jianming Guo, Xinran Chen, Zihan Liu, Weijie Yuan, Jianshen Zhang, Gongshen Liu
Context Modeling with Hierarchical Shallow Attention Structure for Document-Level NMT. IJCNN (2022)
Wei Du, Yichun Zhao, Boqun Li, Gongshen Liu, Shilin Wang
PPT: Backdoor Attacks on Pre-trained Models via Poisoned Prompt Tuning. IJCAI (2022)
Haodong Zhao, Wei Du, Junjie Guo, Gongshen Liu
A Universal Identity Backdoor Attack against Speaker Verification based on Siamese Network. INTERSPEECH (2022)
Tang Xue, Yuran Zhao, Chaoqi Yang, Gongshen Liu, Xiaoyong Li
SECT: A Successively Conditional Transformer for Controllable Paraphrase Generation. IJCNN (2022)
Siqi Zheng, Jie Zhou, Kui Meng, Gongshen Liu
Label-Dividing Gated Graph Neural Network for Hierarchical Text Classification. IJCNN (2022)
Lingyong Fang, Gongshen Liu, Ru Zhang
Sense-aware BERT and Multi-task Fine-tuning for Multimodal Sentiment Analysis. IJCNN (2022)
Yutao Luo, Menghua Lu, Gongshen Liu, Shilin Wang
Few-Shot Table-to-Text Generation with Prefix-Controlled Generator. CoRR (2022)
Haodong Zhao, Wei Du, Fangqi Li, Peixuan Li, Gongshen Liu
Reduce Communication Costs and Preserve Privacy: Prompt Tuning Method in Federated Learning. CoRR (2022)
Yichun Zhao, Kui Meng, Gongshen Liu, Jintao Du, Huijia Zhu
A Multi-Task Dual-Tree Network for Aspect Sentiment Triplet Extraction. COLING (2022)
Tianjie Ju, Han Liao, Gongshen Liu
TIMS: A Novel Approach for Incrementally Few-Shot Text Instance Selection via Model Similarity. IJCNN (2022)
Yutao Luo, Menghua Lu, Chaoqi Yang, Gongshen Liu, Shilin Wang
KLAttack: Towards Adversarial Attack and Defense on Neural Dependency Parsing Models. IJCNN (2022)
Junjie Guo, Zhiyuan Ma, Haodong Zhao, Gongshen Liu, Xiaoyong Li
Speaker Verification with Disentangled Self-attention. ICONIP (1) (2021)
Weijie Yuan, Linyi Ding, Kui Meng, Gongshen Liu
Text Generation with Syntax - Enhanced Variational Autoencoder. IJCNN (2021)
Hao Zhou, Weidong Ren, Gongshen Liu, Bo Su, Wei Lu
Entity-Aware Abstractive Multi-Document Summarization. ACL/IJCNLP (Findings) (2021)
Ziyue Song, Zhiyuan Ma, Kaiyue Qi, Gongshen Liu
Dynamic Tuning and Weighting of Meta-learning for NMT Domain Adaptation. ICANN (5) (2021)
Yichun Zhao, Kui Meng, Gongshen Liu
A Multi-Channel Graph Attention Network for Chinese NER. ICONIP (1) (2021)
Weidong Ren, Hao Zhou, Gongshen Liu, Fei Huan
ASM: Augmentation-based Semantic Mechanism on Abstractive Summarization. IJCNN (2021)
Linyi Ding, Weijie Yuan, Kui Meng, Gongshen Liu
A Multi -Role Graph Attention Network for Knowledge Graph Alignment. IJCNN (2021)
Fang-Qi Li, Shi-Lin Wang, Alan Wee-Chung Liew, Weiping Ding, Gongshen Liu
Large-Scale Malicious Software Classification With Fuzzified Features and Boosted Fuzzy Random Forest. IEEE Trans. Fuzzy Syst. 29 (11) (2021)
Shuai Wang, Yuran Zhao, Gongshen Liu, Bo Su
A Hierarchical Graph-Based Neural Network for Malware Classification. ICONIP (4) (2021)
Zhiyuan Ma, Ziyue Song, Haodong Zhao, Kui Meng, Gongshen Liu
Bridging the Gap of Dimensions in Distillation: Understanding the knowledge transfer between different-dimensional semantic spaces. IJCNN (2021)
Wenjie Lu, Jie Zhou, Leiying Zhou, Gongshen Liu, Quanhai Zhang
Challenge Training to Simulate Inference in Machine Translation. IJCNN (2020)
Hanwen Cao, Yongyi Lu, Cewu Lu, Bo Pang, Gongshen Liu, Alan L. Yuille
ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation. CoRR (2020)
Yiding Liu, Xiaoning Fan, Jie Zhou, Gongshen Liu
Learning Interactions at Multiple Levels for Abstractive Multi-document Summarization. ICONIP (4) (2020)
Jianshen Zhang, Yong Liao, YongAn Li, Gongshen Liu
Sparse Hierarchical Modeling of Deep Contextual Attention for Document-Level Neural Machine Translation. ICONIP (1) (2020)
Xiaoning Fan, Yiding Liu, Gongshen Liu, Bo Su
A Memory-Based Sentence Split and Rephrase Model with Multi-task Training. ICONIP (1) (2020)
Yong Liao, Kui Meng, Jianshen Zhang, Gongshen Liu
Unleashing the Potential of Attention Model for News Headline Generation. IJCNN (2020)
Yilin Dai, Qian Ji, Gongshen Liu, Bo Su
Multi-paragraph Reading Comprehension with Token-level Dynamic Reader and Hybrid Verifier. IJCNN (2020)
Jie Zhou, Chunping Ma, Dingkun Long, Guangwei Xu, Ning Ding, Haoyu Zhang, Pengjun Xie, Gongshen Liu
Hierarchy-Aware Global Model for Hierarchical Text Classification. ACL (2020)
Danyang Liu, Juntao Li, Meng-Hsuan Yu, Ziming Huang, Gongshen Liu, Dongyan Zhao, Rui Yan
A Character-Centric Neural Model for Automated Story Generation. AAAI (2020)
Xiaoning Fan, Danyang Liu, Xuejian Wang, Yiding Liu, Gongshen Liu, Bo Su
A Submodular Optimization-Based VAE-Transformer Framework for Paraphrase Generation. NLPCC (1) (2020)
Leiying Zhou, Jie Zhou, Wenjie Lu, Kui Meng, Gongshen Liu
Neural Machine Translation with Soft Reordering Knowledge. ICONIP (4) (2020)
Yiding Liu, Xiaoning Fan, Jie Zhou, Chenglong He, Gongshen Liu
Learning to Consider Relevance and Redundancy Dynamically for Abstractive Multi-document Summarization. NLPCC (1) (2020)
Chaoqi Yang, Junwei Lu, Xiaofeng Gao, Haishan Liu, Qiong Chen, Gongshen Liu, Guihai Chen
MoTiAC: Multi-Objective Actor-Critics for Real-Time Bidding. CoRR (2020)
Leiying Zhou, Wenjie Lu, Jie Zhou, Kui Meng, Gongshen Liu
Incorporating Named Entity Information into Neural Machine Translation. NLPCC (1) (2020)
Qian Ji, Xiang Lin, Yinghua Ma, Gongshen Liu, Shilin Wang
A Unified Labeling Model for Open-Domain Aspect-Based Sentiment Analysis. DSC (2020)
Ru Zhang, Feng Zhu, Jianyi Liu, Gongshen Liu
Depth-Wise Separable Convolutions and Multi-Level Pooling for an Efficient Spatial CNN-Based Steganalysis. IEEE Trans. Inf. Forensics Secur. 15 (2020)
Hanwen Cao, Yongyi Lu, Bo Pang, Cewu Lu, Alan L. Yuille, Gongshen Liu
ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation. BMVC (2020)
Wenjie Lu, Leiying Zhou, Gongshen Liu, Quanhai Zhang
A Mixed Learning Objective for Neural Machine Translation. CNCL (2020)
Qian Ji, Yilin Dai, Yinghua Ma, Gongshen Liu, Quanhai Zhang, Xiang Lin
Hierarchical Sentiment Estimation Model for Potential Topics of Individual Tweets. ICONIP (4) (2020)
Fangqi Li, Shi-Lin Wang, Gongshen Liu
A Bayesian Possibilistic C-Means clustering approach for cervical cancer screening. Inf. Sci. 501 (2019)
Danyang Liu, Gongshen Liu
A Transformer-Based Variational Autoencoder for Sentence Generation. IJCNN (2019)
Cheng Guan, Shilin Wang, Gongshen Liu, Alan Wee-Chung Liew
Lip Image Segmentation in Mobile Devices Based on Alternative Knowledge Distillation. ICIP (2019)
Zeping Yu, Linqing Shi, Gongshen Liu
Dissect Sliced-RNN in Multi-Attention view. Aust. J. Intell. Inf. Process. Syst. 17 (2) (2019)
Linqing Shi, Zeping Yu, Gongshen Liu
Extensive Pyramid Networks for Text Classification. Aust. J. Intell. Inf. Process. Syst. 17 (1) (2019)
Linqing Shi, Danyang Liu, Gongshen Liu, Kui Meng
AUG-BERT: An Efficient Data Augmentation Algorithm for Text Classification. CSPS (2019)
Ruxin Tan, Jiahui Sun, Bo Su, Gongshen Liu
Transformer-DW: A Transformer Network with Dynamic and Weighted Head. ICONIP (2) (2019)
Jiana Yang, Shilin Wang, Gongshen Liu
Viewpoint Estimation in Images by a Key-Point Based Deep Neural Network. ICIP (2019)
Linqing Shi, Danyang Liu, Gongshen Liu
A Three-Stage Training Method for Abstractive Summarization. Aust. J. Intell. Inf. Process. Syst. 17 (1) (2019)
Jianing Zhou, Jingkang Wang, Gongshen Liu
Multiple Character Embeddings for Chinese Word Segmentation. ACL (2) (2019)
Zeping Yu, Jianxun Lian, Ahmad Mahmoody, Gongshen Liu, Xing Xie
Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation. IJCAI (2019)
Feng Cheng, Shi-Lin Wang, Xizi Wang, Alan Wee-Chung Liew, Gongshen Liu
A global and local context integration DCNN for adult image classification. Pattern Recognit. 96 (2019)
Xuewen Zhang, Kui Meng, Gongshen Liu
Hie-Transformer: A Hierarchical Hybrid Transformer for Abstractive Article Summarization. ICONIP (3) (2019)
Yuqi Zhang, Kui Meng, Gongshen Liu
Paragraph-Level Hierarchical Neural Machine Translation. ICONIP (3) (2019)
Xinyu Zhu, Gongshen Liu, Bo Su, Jan Pan Nees
Dynamic Label Correction for Distant Supervision Relation Extraction via Semantic Similarity. NLPCC (2) (2019)
Ruxin Tan, Jiahui Sun, Bo Su, Gongshen Liu
Extending the Transformer with Context and Multi-dimensional Mechanism for Dialogue Response Generation. NLPCC (2) (2019)
Qianfeng Chu, Gongshen Liu, Huanrong Sun, Cheng Zhou
Next News Recommendation via Knowledge-Aware Sequential Model. CCL (2019)
Xinyu Zhu, Gongshen Liu, Bo Su
Hierarchical Attention CNN and Entity-Aware for Relation Extraction. ICONIP (4) (2019)
Zeping Yu, Gongshen Liu
Sliced Recurrent Neural Networks. CoRR (2018)
Junjie Fu, Gongshen Liu
A Joint Selective Mechanism for Abstractive Sentence Summarization. ACML (2018)
Xiaosa Huang, Shilin Wang, Gongshen Liu
Detecting Double Jpeg Compression with Same Quantization Matrix Based on Dense Cnn Feature. ICIP (2018)

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Publication Activity (10 Years)

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Gongshen Liu