New Feature Selection and Weighting Methods Based on Category Information. - Gongshen Liu; Jianhua Li 001; Xiang Li; Qiang Li 026 (ICADL, 2004)

A Discussion on Personalized Trust Management for Flat P2P Communities. - Min Zuo; Jianhua Li 001; Gongshen Liu (SITIS, 2007)

An Adaptive Collaborative Filtering Algorithm for Online Reputation Systems. - Min Zuo; Jianhua Li 001; Gongshen Liu (SITIS, 2007)

A Biased Summary System and Its Implementation Technology. - Gongshen Liu (FSKD (4), 2008)

A cross-language state mapping approach to bilingual (Mandarin-English) TTS. - Hui Liang; Yao Qian; Frank K. Soong; Gongshen Liu (ICASSP, 2008)

Text Content Filtering Based on Chinese Character Reconstruction from Radicals. - Wenlei He; Gongshen Liu; Jun Luo; Jiuchuan Lin (e-Forensics, 2010)

Predicting the semantic orientation of movie reviews. - Gongshen Liu; Huoyao Lai; Luo Jun; Jiuchuan Lin (FSKD, 2010)

An Improved Topic Detection Method for Chinese Microblog Based On Incremental Clustering. - Gongshen Liu; Kui Meng; Jing Xie 002 (J. Softw., 2013)

A Text Information Hiding Algorithm Based on Alternatives. - Gongshen Liu; Xiaoyun Ding; Bo Su; Kui Meng (J. Softw., 2013)

An modularity-based overlapping community structure detecting algorithm. - Kui Meng; Gongshen Liu; Qiong Hu; Jianhua Li 001 (ASONAM, 2014)

A detecting community method in complex networks with fuzzy clustering. - Xiaofeng Wang 004; Gongshen Liu; Jianhua Li 001 (DSAA, 2014)

Automatic Threshold Calculation Based Label Propagation Algorithm for Overlapping Community. - Gongshen Liu; Kui Meng; Hongyi Guo; Li Pan 002; Jianhua Li 001 (DSC, 2016)

GEV Regression with Convex Loss Applied to Imbalanced Binary Classification. - Haolin Zhang; Gongshen Liu; Li Pan 002; Kui Meng; Jianhua Li 001 (DSC, 2016)

Toward interests drift mechanism for social network. - Yutao Zhang; Gongshen Liu; Jun Wu 001; Jianhua Li 001; Longhua Guo (SSIC, 2016)

Uncovering fuzzy communities in networks with structural similarity. - Xiaofeng Wang 004; Gongshen Liu; Li Pan 002; Jianhua Li 001 (Neurocomputing, 2016)

Ada-copy: An Adaptive Memory Copy Strategy for Virtual Machine Live Migration. - Zhong Wang 013; Guangtao Xue; Shiyou Qian; Gongshen Liu; Minglu Li 001; Jian Cao 001; Jiadi Yu (ICPADS, 2017)

Exploitations of Uninitialized Uses on macOS Sierra. - Zhenquan Xu; Gongshen Liu; Tielei Wang; Hao Xu (WOOT, 2017)

Overlapping Community Detection Based on Structural Centrality in Complex Networks. - Xiaofeng Wang 004; Gongshen Liu; Jianhua Li 001 (IEEE Access, 2017)

A Joint Selective Mechanism for Abstractive Sentence Summarization. - Junjie Fu; Gongshen Liu (ACML, 2018)

Steganalysis of Adaptive JPEG Steganography Based on ResDet. - Xiaosa Huang; Shilin Wang; Tanfeng Sun; Gongshen Liu; Xiang Lin (APSIPA, 2018)

Sliced Recurrent Neural Networks. - Zeping Yu; Gongshen Liu (COLING, 2018)

Modeling Multi-turn Conversation with Deep Utterance Aggregation. - Zhuosheng Zhang 001; Jiangtong Li; Pengfei Zhu 003; Hai Zhao 001; Gongshen Liu (COLING, 2018)

Sentiment Analysis of Network Comments Based on GCNN. - Chen Huang; Gongshen Liu (CSAI/ICIMT, 2018)

A Unified Syntax-aware Framework for Semantic Role Labeling. - Zuchao Li; Shexia He; Jiaxun Cai; Zhuosheng Zhang 001; Hai Zhao 001; Gongshen Liu; Linlin Li 001; Luo Si (EMNLP, 2018)

Detecting Double Jpeg Compression with Same Quantization Matrix Based on Dense Cnn Feature. - Xiaosa Huang; Shilin Wang; Gongshen Liu (ICIP, 2018)

3D Convolutional Neural Networks Based Speaker Identification and Authentication. - Jianguo Liao; Shilin Wang; Xingxuan Zhang; Gongshen Liu (ICIP, 2018)

Adult Image Classification by a Local-Context Aware Network. - Xizi Wang; Feng Cheng; Shilin Wang; Huanrong Sun; Gongshen Liu; Cheng Zhou (ICIP, 2018)

Leveraging Inner-Connection of Message Sequence for Traffic Classification: A Deep Learning Approach. - Renjie Jin; Guangtao Xue; Feng Lyu 001; Hao Sheng 001; Gongshen Liu; Minglu Li 001 (ICPADS, 2018)

Benchmark snapshots for testing social network evolving algorithms. - Danyang Liu; Gongshen Liu; Kui Meng; Yuxuan He; Yutao Zhang (IIKI, 2018)

Five-Stroke Based CNN-BiRNN-CRF Network for Chinese Named Entity Recognition. - Fan Yang; Jianhu Zhang; Gongshen Liu; Jie Zhou 013; Cheng Zhou; Huanrong Sun (NLPCC (1), 2018)

LM Enhanced BiRNN-CRF for Joint Chinese Word Segmentation and POS Tagging. - Jianhu Zhang; Gongshen Liu; Jie Zhou 013; Cheng Zhou; Huanrong Sun (NLPCC (2), 2018)

Paraphrase Identification Based on Weighted URAE, Unit Similarity and Context Correlation Feature. - Jie Zhou 013; Gongshen Liu; Huanrong Sun (NLPCC (2), 2018)

Neural Feedback Text Clustering With BiLSTM-CNN-Kmeans. - Yang Fan; Gongshen Liu; Meng Kui; Zhaoying Sun (IEEE Access, 2018)

Analysis of Message Attacks in Aviation Data-Link Communication. - Ru Zhang; Gongshen Liu; Jianyi Liu; Jan P. Nees (IEEE Access, 2018)

Efficient feature learning and multi-size image steganalysis based on CNN. - Ru Zhang; Feng Zhu; Jianyi Liu; Gongshen Liu (CoRR, 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)

Multiple Character Embeddings for Chinese Word Segmentation. - Jianing Zhou; Jingkang Wang; Gongshen Liu (ACL (2), 2019)

Next News Recommendation via Knowledge-Aware Sequential Model. - Qianfeng Chu; Gongshen Liu; Huanrong Sun; Cheng Zhou (CCL, 2019)

AUG-BERT: An Efficient Data Augmentation Algorithm for Text Classification. - Linqing Shi; Danyang Liu; Gongshen Liu; Kui Meng (CSPS, 2019)

Lip Image Segmentation in Mobile Devices Based on Alternative Knowledge Distillation. - Cheng Guan; Shilin Wang; Gongshen Liu; Alan Wee-Chung Liew (ICIP, 2019)

Viewpoint Estimation in Images by a Key-Point Based Deep Neural Network. - Jiana Yang; Shilin Wang; Gongshen Liu (ICIP, 2019)

Transformer-DW: A Transformer Network with Dynamic and Weighted Head. - Ruxin Tan; Jiahui Sun; Bo Su; Gongshen Liu (ICONIP (2), 2019)

Hie-Transformer: A Hierarchical Hybrid Transformer for Abstractive Article Summarization. - Xuewen Zhang; Kui Meng; Gongshen Liu (ICONIP (3), 2019)

Paragraph-Level Hierarchical Neural Machine Translation. - Yuqi Zhang; Kui Meng; Gongshen Liu (ICONIP (3), 2019)

Hierarchical Attention CNN and Entity-Aware for Relation Extraction. - Xinyu Zhu; Gongshen Liu; Bo Su (ICONIP (4), 2019)

Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation. - Zeping Yu; Jianxun Lian; Ahmad Mahmoody; Gongshen Liu; Xing Xie 001 (IJCAI, 2019)

A Transformer-Based Variational Autoencoder for Sentence Generation. - Danyang Liu; Gongshen Liu (IJCNN, 2019)

Extending the Transformer with Context and Multi-dimensional Mechanism for Dialogue Response Generation. - Ruxin Tan; Jiahui Sun; Bo Su; Gongshen Liu (NLPCC (2), 2019)

Dynamic Label Correction for Distant Supervision Relation Extraction via Semantic Similarity. - Xinyu Zhu; Gongshen Liu; Bo Su; Jan Pan Nees (NLPCC (2), 2019)

A Three-Stage Training Method for Abstractive Summarization. - Linqing Shi; Danyang Liu; 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)

Dissect Sliced-RNN in Multi-Attention view. - Zeping Yu; Linqing Shi; Gongshen Liu (Aust. J. Intell. Inf. Process. Syst., 2019)

A Bayesian Possibilistic C-Means clustering approach for cervical cancer screening. - Fangqi Li 001; Shi-Lin Wang; Gongshen Liu (Inf. Sci., 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 Character-Centric Neural Model for Automated Story Generation. - Danyang Liu; Juntao Li; Meng-Hsuan Yu; Ziming Huang; Gongshen Liu; Dongyan Zhao 001; Rui Yan 001 (AAAI, 2020)

Hierarchy-Aware Global Model for Hierarchical Text Classification. - Jie Zhou 013; Chunping Ma; Dingkun Long; Guangwei Xu; Ning Ding; Haoyu Zhang; Pengjun Xie; Gongshen Liu (ACL, 2020)

ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation. - Hanwen Cao; Yongyi Lu; Bo Pang 003; Cewu Lu; Alan L. Yuille; Gongshen Liu (BMVC, 2020)

A Mixed Learning Objective for Neural Machine Translation. - Wenjie Lu; Leiying Zhou; Gongshen Liu; Quanhai Zhang (CNCL, 2020)

A Unified Labeling Model for Open-Domain Aspect-Based Sentiment Analysis. - Qian Ji; Xiang Lin; Yinghua Ma; Gongshen Liu; Shilin Wang (DSC, 2020)

A Memory-Based Sentence Split and Rephrase Model with Multi-task Training. - Xiaoning Fan; Yiding Liu; Gongshen Liu; Bo Su (ICONIP (1), 2020)

Hierarchical Sentiment Estimation Model for Potential Topics of Individual Tweets. - Qian Ji; Yilin Dai; Yinghua Ma; Gongshen Liu; Quanhai Zhang; Xiang Lin (ICONIP (4), 2020)

Learning Interactions at Multiple Levels for Abstractive Multi-document Summarization. - Yiding Liu; Xiaoning Fan; Jie Zhou 013; Gongshen Liu (ICONIP (4), 2020)

Sparse Hierarchical Modeling of Deep Contextual Attention for Document-Level Neural Machine Translation. - Jianshen Zhang; Yong Liao; YongAn Li; Gongshen Liu (ICONIP (1), 2020)

Neural Machine Translation with Soft Reordering Knowledge. - Leiying Zhou; Jie Zhou 013; Wenjie Lu; Kui Meng; Gongshen Liu (ICONIP (4), 2020)

Multi-paragraph Reading Comprehension with Token-level Dynamic Reader and Hybrid Verifier. - Yilin Dai; Qian Ji; Gongshen Liu; Bo Su (IJCNN, 2020)

Unleashing the Potential of Attention Model for News Headline Generation. - Yong Liao; Kui Meng; Jianshen Zhang; Gongshen Liu (IJCNN, 2020)

Challenge Training to Simulate Inference in Machine Translation. - Wenjie Lu; Jie Zhou 013; Leiying Zhou; Gongshen Liu; Quanhai Zhang (IJCNN, 2020)

A Submodular Optimization-Based VAE-Transformer Framework for Paraphrase Generation. - Xiaoning Fan; Danyang Liu; Xuejian Wang; Yiding Liu; Gongshen Liu; Bo Su (NLPCC (1), 2020)

Learning to Consider Relevance and Redundancy Dynamically for Abstractive Multi-document Summarization. - Yiding Liu; Xiaoning Fan; Jie Zhou 013; Chenglong He; Gongshen Liu (NLPCC (1), 2020)

Incorporating Named Entity Information into Neural Machine Translation. - Leiying Zhou; Wenjie Lu; Jie Zhou 013; Kui Meng; Gongshen Liu (NLPCC (1), 2020)

MoTiAC: Multi-Objective Actor-Critics for Real-Time Bidding. - Chaoqi Yang; Junwei Lu; Xiaofeng Gao 001; Haishan Liu; Qiong Chen; Gongshen Liu; Guihai Chen (CoRR, 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)

Entity-Aware Abstractive Multi-Document Summarization. - Hao Zhou 012; Weidong Ren; Gongshen Liu; Bo Su; Wei Lu 011 (ACL/IJCNLP (Findings), 2021)

Dynamic Tuning and Weighting of Meta-learning for NMT Domain Adaptation. - Ziyue Song; Zhiyuan Ma; Kaiyue Qi; Gongshen Liu (ICANN (5), 2021)

Speaker Verification with Disentangled Self-attention. - Junjie Guo; Zhiyuan Ma; Haodong Zhao; Gongshen Liu; Xiaoyong Li (ICONIP (1), 2021)

A Hierarchical Graph-Based Neural Network for Malware Classification. - Shuai Wang; Yuran Zhao; Gongshen Liu; Bo Su (ICONIP (4), 2021)

A Multi-Channel Graph Attention Network for Chinese NER. - Yichun Zhao; Kui Meng; Gongshen Liu (ICONIP (1), 2021)

A Multi -Role Graph Attention Network for Knowledge Graph Alignment. - Linyi Ding; Weijie Yuan 003; Kui Meng; Gongshen Liu (IJCNN, 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 (IJCNN, 2021)

ASM: Augmentation-based Semantic Mechanism on Abstractive Summarization. - Weidong Ren; Hao Zhou 012; Gongshen Liu; Fei Huan (IJCNN, 2021)

Text Generation with Syntax - Enhanced Variational Autoencoder. - Weijie Yuan 003; Linyi Ding; Kui Meng; Gongshen Liu (IJCNN, 2021)

Large-Scale Malicious Software Classification With Fuzzified Features and Boosted Fuzzy Random Forest. - Fang-Qi Li 001; Shi-Lin Wang; Alan Wee-Chung Liew; Weiping Ding 001; Gongshen Liu (IEEE Trans. Fuzzy Syst., 2021)

Few-shot Table-to-text Generation with Prefix-Controlled Generator. - Yutao Luo; Menghua Lu; Gongshen Liu; Shilin Wang (COLING, 2022)

A Multi-Task Dual-Tree Network for Aspect Sentiment Triplet Extraction. - Yichun Zhao; Kui Meng; Gongshen Liu; Jintao Du; Huijia Zhu (COLING, 2022)

TransAdv: A Translation-based Adversarial Learning Framework for Zero-Resource Cross-Lingual Named Entity Recognition. - Yichun Zhao; Jintao Du; Gongshen Liu; Huijia Zhu (EMNLP (Findings), 2022)

Parallel Relationship Graph to Improve Multi-Document Summarization. - Menghua Lu; Lijia Liang; Gongshen Liu (ICANN (2), 2022)

PPT: Backdoor Attacks on Pre-trained Models via Poisoned Prompt Tuning. - Wei Du; Yichun Zhao; Boqun Li; Gongshen Liu; Shilin Wang (IJCAI, 2022)

Sense-aware BERT and Multi-task Fine-tuning for Multimodal Sentiment Analysis. - Lingyong Fang; Gongshen Liu; Ru Zhang (IJCNN, 2022)

Context Modeling with Hierarchical Shallow Attention Structure for Document-Level NMT. - Jianming Guo; Xinran Chen; Zihan Liu; Weijie Yuan 003; Jianshen Zhang; Gongshen Liu (IJCNN, 2022)

TIMS: A Novel Approach for Incrementally Few-Shot Text Instance Selection via Model Similarity. - Tianjie Ju; Han Liao; Gongshen Liu (IJCNN, 2022)

KLAttack: Towards Adversarial Attack and Defense on Neural Dependency Parsing Models. - Yutao Luo; Menghua Lu; Chaoqi Yang; Gongshen Liu; Shilin Wang (IJCNN, 2022)

SECT: A Successively Conditional Transformer for Controllable Paraphrase Generation. - Tang Xue; Yuran Zhao; Chaoqi Yang; Gongshen Liu; Xiaoyong Li (IJCNN, 2022)

Label-Dividing Gated Graph Neural Network for Hierarchical Text Classification. - Siqi Zheng; Jie Zhou 013; Kui Meng; Gongshen Liu (IJCNN, 2022)

A Universal Identity Backdoor Attack against Speaker Verification based on Siamese Network. - Haodong Zhao; Wei Du; Junjie Guo; Gongshen Liu (INTERSPEECH, 2022)

Improving Constituent Representation with Hypertree Neural Networks. - Hao Zhou 012; Gongshen Liu; Kewei Tu (NAACL-HLT, 2022)

An Adversarial Approach for Unsupervised Syntax-Guided Paraphrase Generation. - Tang Xue; Yuran Zhao; Gongshen Liu; Xiaoyong Li (NLPCC (1), 2022)

Multi-Objective Actor-Critics for Real-Time Bidding in Display Advertising. - Haolin Zhou; Chaoqi Yang; Xiaofeng Gao 001; Qiong Chen; Gongshen Liu; Guihai Chen (ECML/PKDD (4), 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)

Reduce Communication Costs and Preserve Privacy: Prompt Tuning Method in Federated Learning. - Haodong Zhao; Wei Du; Fangqi Li 001; Peixuan Li; Gongshen Liu (CoRR, 2022)

PLMmark: A Secure and Robust Black-Box Watermarking Framework for Pre-trained Language Models. - Peixuan Li; Pengzhou Cheng; Fangqi Li 001; Wei Du; Haodong Zhao; Gongshen Liu (AAAI, 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 (ACL (Findings), 2023)

Semantic Information Mining and Fusion Method for Bot Detection. - Lijia Liang; Xinzhong Wang; Gongshen Liu (ICANN (9), 2023)

FedPrompt: Communication-Efficient and Privacy-Preserving Prompt Tuning in Federated Learning. - Haodong Zhao; Wei Du; Fangqi Li 001; Peixuan Li; Gongshen Liu (ICASSP, 2023)

SDPSAT: Syntactic Dependency Parsing Structure-Guided Semi-Autoregressive Machine Translation. - Xinran Chen; Yuran Zhao; Jianming Guo; Sufeng Duan; Gongshen Liu (ICONIP (8), 2023)

Neural Linguistic Steganography with Controllable Security. - Tianhe Lu; Gongshen Liu; Ru Zhang; Tianjie Ju (IJCNN, 2023)

Robust Secret Data Hiding for Transformer-based Neural Machine Translation. - Tianhe Lu; Gongshen Liu; Ru Zhang; Peixuan Li; Tianjie Ju (IJCNN, 2023)

SCS-VAE: Generate Style Headlines Via Novel Disentanglement. - Zhaoqian Zhu; Xiang Lin; Gongshen Liu; Bo Su; Tianhe Lu (IJCNN, 2023)

UOR: Universal Backdoor Attacks on Pre-trained Language Models. - Wei Du; Peixuan Li; Boqun Li; 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)

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)

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)

UOR: Universal Backdoor Attacks on Pre-trained Language Models. - Wei Du; Peixuan Li; Haodong Zhao; Tianjie Ju; Ge Ren; Gongshen Liu (ACL (Findings), 2024)

Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models. - Tianjie Ju; Yijin Chen; Xinwei Yuan; Zhuosheng Zhang 001; Wei Du; Yubin Zheng; Gongshen Liu (ACL (1), 2024)

Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space. - Zongru Wu; Zhuosheng Zhang 001; Pengzhou Cheng; Gongshen Liu (ACL (1), 2024)

Backdoor NLP Models via AI-Generated Text. - Wei Du; Tianjie Ju; Ge Ren; Gaolei Li; Gongshen Liu (LREC/COLING, 2024)

How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study. - Tianjie Ju; Weiwei Sun 001; Wei Du; Xinwei Yuan; Zhaochun Ren; Gongshen Liu (LREC/COLING, 2024)

R-Judge: Benchmarking Safety Risk Awareness for LLM Agents. - Tongxin Yuan; Zhiwei He 002; Lingzhong Dong; Yiming Wang 011; Ruijie Zhao 001; Tian Xia; Lizhen Xu; Binglin Zhou; Fangqi Li 001; Zhuosheng Zhang 001; Rui Wang 015; Gongshen Liu (EMNLP (Findings), 2024)

FashionGPT: A Large Vision-Language Model for Enhancing Fashion Understanding. - Duanxiao Song; Dehong Gao; Gongshen Liu; Xiaoyong Li (ICANN (5), 2024)

NWS: Natural Textual Backdoor Attacks Via Word Substitution. - Wei Du; Tongxin Yuan; Haodong Zhao; Gongshen Liu (ICASSP, 2024)

Multi-Grained Multimodal Interaction Network for Sentiment Analysis. - Lingyong Fang; Gongshen Liu; Ru Zhang (ICASSP, 2024)

Improving Non-autoregressive Machine Translation with Error Exposure and Consistency Regularization. - Xinran Chen; Sufeng Duan; Gongshen Liu (NLPCC (3), 2024)

Less Defined Knowledge and More True Alarms: Reference-based Phishing Detection without a Pre-defined Reference List. - Ruofan Liu; Yun Lin 001; Xiwen Teoh; Gongshen Liu; Zhiyong Huang; Jin Song Dong 001 (USENIX Security Symposium, 2024)

An Enhanced Prompt-Based LLM Reasoning Scheme via Knowledge Graph-Integrated Collaboration. - Yihao Li; Ru Zhang; Jianyi Liu; 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)

MKF-ADS: Multi-Knowledge Fusion Based Self-supervised Anomaly Detection System for Control Area Network. - Pengzhou Cheng; Zongru Wu; Gongshen Liu (CoRR, 2024)

TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models. - Pengzhou Cheng; Yidong Ding; Tianjie Ju; Zongru Wu; Wei Du; Ping Yi; Zhuosheng Zhang 001; Gongshen Liu (CoRR, 2024)

Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent Communities. - Tianjie Ju; Yiting Wang; Xinbei Ma; Pengzhou Cheng; Haodong Zhao; Yulong Wang 004; Lifeng Liu; Jian Xie; Zhuosheng Zhang 001; Gongshen Liu (CoRR, 2024)

Transferring Backdoors between Large Language Models by Knowledge Distillation. - Pengzhou Cheng; Zongru Wu; Tianjie Ju; Wei Du; Zhuosheng Zhang 001; Gongshen Liu (CoRR, 2024)

NSmark: Null Space Based Black-box Watermarking Defense Framework for Pre-trained Language Models. - Haodong Zhao; Jinming Hu; Peixuan Li; Fangqi Li 001; Jinrui Sha; Peixuan Chen; Zhuosheng Zhang 001; Gongshen Liu (CoRR, 2024)

Convolutional Feature Aggregation Network With Self-Supervised Learning and Decision Fusion for SAR Target Recognition. - Linqing Huang; Gongshen Liu (IEEE Trans. Instrum. Meas., 2024)

LSF-IDM: Deep learning-based lightweight semantic fusion intrusion detection model for automotive. - Pengzhou Cheng; Lei Hua; Haobin Jiang; Gongshen Liu (Peer Peer Netw. Appl., 2024)

OS-Kairos: Adaptive Interaction for MLLM-Powered GUI Agents. - Pengzhou Cheng; Zheng Wu; Zongru Wu; Tianjie Ju; Aston Zhang; Zhuosheng Zhang 001; Gongshen Liu (ACL (Findings), 2025)

ALIS: Aligned LLM Instruction Security Strategy for Unsafe Input Prompt. - Xinhao Song; Sufeng Duan; Gongshen Liu (COLING, 2025)

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining. - Zongru Wu; Pengzhou Cheng; Lingyong Fang; Zhuosheng Zhang 001; Gongshen Liu (COLING, 2025)

Towards A Distribution Alignment Framework for Incomplete Data Classification. - Linqing Huang; Jinfu Fan; Shilin Wang; Gongshen Liu; Shouxuan Liu (ICASSP, 2025)

SynGhost: Invisible and Universal Task-agnostic Backdoor Attack via Syntactic Transfer. - Pengzhou Cheng; Wei Du; Zongru Wu; Fengwei Zhang; Libo Chen; Zhuosheng Zhang 001; Gongshen Liu (NAACL (Findings), 2025)

Improving semi-autoregressive machine translation with the guidance of syntactic dependency parsing structure. - Xinran Chen; Sufeng Duan; Gongshen Liu (Neurocomputing, 2025)

U-GIFT: Uncertainty-Guided Firewall for Toxic Speech in Few-Shot Scenario. - Jiaxin Song; Xinyu Wang; Yihao Wang; Yifan Tang; Ru Zhang; Jianyi Liu; Gongshen Liu (CoRR, 2025)

Investigating the Adaptive Robustness with Knowledge Conflicts in LLM-based Multi-Agent Systems. - Tianjie Ju; Bowen Wang; Hao Fei 001; Mong-Li Lee; Wynne Hsu; Yun Li; Qianren Wang; Pengzhou Cheng; Zongru Wu; Zhuosheng Zhang 001; Gongshen Liu (CoRR, 2025)

InsightVision: A Comprehensive, Multi-Level Chinese-based Benchmark for Evaluating Implicit Visual Semantics in Large Vision Language Models. - Xiaofei Yin; Yijie Hong; Ya Guo; Yi Tu; Weiqiang Wang; Gongshen Liu; Huijia Zhu (CoRR, 2025)

Smoothing Grounding and Reasoning for MLLM-Powered GUI Agents with Query-Oriented Pivot Tasks. - Zongru Wu; Pengzhou Cheng; Zheng Wu; Tianjie Ju; Zhuosheng Zhang 001; Gongshen Liu (CoRR, 2025)

Watch Out Your Album! On the Inadvertent Privacy Memorization in Multi-Modal Large Language Models. - Tianjie Ju; Yi Hua; Hao Fei 001; Zhenyu Shao; Yubin Zheng; Haodong Zhao; Mong-Li Lee; Wynne Hsu; Zhuosheng Zhang 001; Gongshen Liu (CoRR, 2025)

OS-Kairos: Adaptive Interaction for MLLM-Powered GUI Agents. - Pengzhou Cheng; Zheng Wu; Zongru Wu; Aston Zhang; Zhuosheng Zhang 001; Gongshen Liu (CoRR, 2025)

Probing then Editing Response Personality of Large Language Models. - Tianjie Ju; Zhenyu Shao; Bowen Wang; Yujia Chen; Zhuosheng Zhang 001; Hao Fei 001; Mong-Li Lee; Wynne Hsu; Sufeng Duan; Gongshen Liu (CoRR, 2025)

Consensus Entropy: Harnessing Multi-VLM Agreement for Self-Verifying and Self-Improving OCR. - Yulong Zhang; Tianyi Liang; Xinyue Huang; Erfei Cui; Xu Guo; Pei Chu; Chenhui Li; Ru Zhang; Wenhai Wang; Gongshen Liu (CoRR, 2025)

FedRS-Bench: Realistic Federated Learning Datasets and Benchmarks in Remote Sensing. - Haodong Zhao; Peng Peng; Chiyu Chen; Linqing Huang; Gongshen Liu (CoRR, 2025)

Hidden Ghost Hand: Unveiling Backdoor Vulnerabilities in MLLM-Powered Mobile GUI Agents. - Pengzhou Cheng; Haowen Hu; Zheng Wu; Zongru Wu; Tianjie Ju; Zhuosheng Zhang 001; Gongshen Liu (CoRR, 2025)

FedSTS: A Stratified Client Selection Framework for Consistently Fast Federated Learning. - Dehong Gao; Duanxiao Song; Guangyuan Shen; Xiaoyan Cai; Libin Yang; Gongshen Liu; Xiaoyong Li; Zhen Wang 004 (IEEE Trans. Neural Networks Learn. Syst., 2025)

On the Adaptive Psychological Persuasion of Large Language Models. - Tianjie Ju; Yujia Chen; Hao Fei 001; Mong-Li Lee; Wynne Hsu; Pengzhou Cheng; Zongru Wu; Zhuosheng Zhang 001; Gongshen Liu (CoRR, 2025)

Transferable and Robust Dynamic Adversarial Attack Against Object Detection Models. - Xinxin Wang; Jing Chen 003; Zijun Zhang; Kun He 008; Zongru Wu; Ruiying Du; Qiao Li; Gongshen Liu (IEEE Internet Things J., 2025)

Igniting Language Intelligence: The Hitchhiker's Guide from Chain-of-Thought Reasoning to Language Agents. - Zhuosheng Zhang 001; Yao Yao; Aston Zhang; Xiangru Tang; Xinbei Ma; Zhiwei He 002; Yiming Wang 011; Mark Gerstein; Rui Wang 015; Gongshen Liu; Hai Zhao 001 (ACM Comput. Surv., 2025)

Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review. - Pengzhou Cheng; Zongru Wu; Wei Du; Haodong Zhao; Wei Lu 011; Gongshen Liu (IEEE Trans. Neural Networks Learn. Syst., 2025)