default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGongshen Liu
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j17]Pengzhou Cheng, Lei Hua, Haobin Jiang, Gongshen Liu:
LSF-IDM: Deep learning-based lightweight semantic fusion intrusion detection model for automotive. Peer Peer Netw. Appl. 17(5): 2884-2905 (2024)- [j16]Linqing Huang
, Gongshen Liu:
Convolutional Feature Aggregation Network With Self-Supervised Learning and Decision Fusion for SAR Target Recognition. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [c98]Wei Du, Peixuan Li, Haodong Zhao, Tianjie Ju, Ge Ren, Gongshen Liu:
UOR: Universal Backdoor Attacks on Pre-trained Language Models. ACL (Findings) 2024: 7865-7877 - [c97]Zongru Wu, Zhuosheng Zhang, Pengzhou Cheng, Gongshen Liu:
Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space. ACL (1) 2024: 8116-8134 - [c96]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: 8987-9001 - [c95]Wei Du, Tianjie Ju, Ge Ren, Gaolei Li, Gongshen Liu:
Backdoor NLP Models via AI-Generated Text. LREC/COLING 2024: 2067-2079 - [c94]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: 8235-8246 - [c93]Duanxiao Song, Dehong Gao, Gongshen Liu, Xiaoyong Li:
FashionGPT: A Large Vision-Language Model for Enhancing Fashion Understanding. ICANN (5) 2024: 308-323 - [c92]Wei Du, Tongxin Yuan, Haodong Zhao, Gongshen Liu:
NWS: Natural Textual Backdoor Attacks Via Word Substitution. ICASSP 2024: 4680-4684 - [c91]Lingyong Fang, Gongshen Liu, Ru Zhang:
Multi-Grained Multimodal Interaction Network for Sentiment Analysis. ICASSP 2024: 7730-7734 - [c90]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 - [i25]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 abs/2401.10019 (2024) - [i24]Yihao Li, Ru Zhang, Jianyi Liu, Gongshen Liu:
An Enhanced Prompt-Based LLM Reasoning Scheme via Knowledge Graph-Integrated Collaboration. CoRR abs/2402.04978 (2024) - [i23]Xinran Chen, Sufeng Duan, Gongshen Liu:
Improving Non-autoregressive Machine Translation with Error Exposure and Consistency Regularization. CoRR abs/2402.09725 (2024) - [i22]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 abs/2402.11900 (2024) - [i21]Zongru Wu, Zhuosheng Zhang, Pengzhou Cheng, Gongshen Liu:
Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space. CoRR abs/2402.12026 (2024) - [i20]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 abs/2402.16061 (2024) - [i19]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 abs/2402.18945 (2024) - [i18]Pengzhou Cheng, Zongru Wu, Gongshen Liu:
MKF-ADS: Multi-Knowledge Fusion Based Self-supervised Anomaly Detection System for Control Area Network. CoRR abs/2403.04293 (2024) - [i17]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 abs/2405.13401 (2024) - [i16]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 abs/2407.07791 (2024) - [i15]Pengzhou Cheng, Zongru Wu, Tianjie Ju, Wei Du, Zhuosheng Zhang, Gongshen Liu:
Transferring Backdoors between Large Language Models by Knowledge Distillation. CoRR abs/2408.09878 (2024) - 2023
- [j15]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: 266-281 (2023) - [c89]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: 14991-14999 - [c88]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: 7804-7819 - [c87]Lijia Liang, Xinzhong Wang, Gongshen Liu:
Semantic Information Mining and Fusion Method for Bot Detection. ICANN (9) 2023: 270-282 - [c86]Haodong Zhao, Wei Du, Fangqi Li, Peixuan Li, Gongshen Liu:
FedPrompt: Communication-Efficient and Privacy-Preserving Prompt Tuning in Federated Learning. ICASSP 2023: 1-5 - [c85]Xinran Chen, Yuran Zhao, Jianming Guo, Sufeng Duan, Gongshen Liu:
SDPSAT: Syntactic Dependency Parsing Structure-Guided Semi-Autoregressive Machine Translation. ICONIP (8) 2023: 604-616 - [c84]Tianhe Lu, Gongshen Liu, Ru Zhang, Tianjie Ju:
Neural Linguistic Steganography with Controllable Security. IJCNN 2023: 1-8 - [c83]Tianhe Lu, Gongshen Liu, Ru Zhang, Peixuan Li, Tianjie Ju:
Robust Secret Data Hiding for Transformer-based Neural Machine Translation. IJCNN 2023: 1-8 - [c82]Zhaoqian Zhu, Xiang Lin, Gongshen Liu, Bo Su, Tianhe Lu:
SCS-VAE: Generate Style Headlines Via Novel Disentanglement. IJCNN 2023: 1-8 - [i14]Haodong Zhao, Wei Du, Junjie Guo, Gongshen Liu:
A Universal Identity Backdoor Attack against Speaker Verification based on Siamese Network. CoRR abs/2303.16031 (2023) - [i13]Wei Du, Peixuan Li, Boqun Li, Haodong Zhao, Gongshen Liu:
UOR: Universal Backdoor Attacks on Pre-trained Language Models. CoRR abs/2305.09574 (2023) - [i12]Pengzhou Cheng, Lei Hua, Haobin Jiang, Mohammad Samie, Gongshen Liu:
LSF-IDM: Automotive Intrusion Detection Model with Lightweight Attribution and Semantic Fusion. CoRR abs/2308.01237 (2023) - [i11]Pengzhou Cheng, Zongru Wu, Wei Du, Haodong Zhao, Gongshen Liu:
Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review. CoRR abs/2309.06055 (2023) - [i10]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 abs/2311.11797 (2023) - 2022
- [c81]Yutao Luo, Menghua Lu, Gongshen Liu, Shilin Wang:
Few-shot Table-to-text Generation with Prefix-Controlled Generator. COLING 2022: 6493-6504 - [c80]Yichun Zhao, Kui Meng, Gongshen Liu, Jintao Du, Huijia Zhu:
A Multi-Task Dual-Tree Network for Aspect Sentiment Triplet Extraction. COLING 2022: 7065-7074 - [c79]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: 742-749 - [c78]Menghua Lu, Lijia Liang, Gongshen Liu:
Parallel Relationship Graph to Improve Multi-Document Summarization. ICANN (2) 2022: 630-642 - [c77]Wei Du, Yichun Zhao, Boqun Li, Gongshen Liu, Shilin Wang:
PPT: Backdoor Attacks on Pre-trained Models via Poisoned Prompt Tuning. IJCAI 2022: 680-686 - [c76]Lingyong Fang, Gongshen Liu, Ru Zhang:
Sense-aware BERT and Multi-task Fine-tuning for Multimodal Sentiment Analysis. IJCNN 2022: 1-8 - [c75]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: 1-8 - [c74]Tianjie Ju, Han Liao, Gongshen Liu:
TIMS: A Novel Approach for Incrementally Few-Shot Text Instance Selection via Model Similarity. IJCNN 2022: 1-8 - [c73]Yutao Luo, Menghua Lu, Chaoqi Yang, Gongshen Liu, Shilin Wang:
KLAttack: Towards Adversarial Attack and Defense on Neural Dependency Parsing Models. IJCNN 2022: 1-8 - [c72]Tang Xue, Yuran Zhao, Chaoqi Yang, Gongshen Liu, Xiaoyong Li:
SECT: A Successively Conditional Transformer for Controllable Paraphrase Generation. IJCNN 2022: 1-8 - [c71]Siqi Zheng, Jie Zhou, Kui Meng, Gongshen Liu:
Label-Dividing Gated Graph Neural Network for Hierarchical Text Classification. IJCNN 2022: 1-8 - [c70]Haodong Zhao, Wei Du, Junjie Guo, Gongshen Liu:
A Universal Identity Backdoor Attack against Speaker Verification based on Siamese Network. INTERSPEECH 2022: 4770-4774 - [c69]Hao Zhou, Gongshen Liu, Kewei Tu:
Improving Constituent Representation with Hypertree Neural Networks. NAACL-HLT 2022: 1682-1692 - [c68]Tang Xue, Yuran Zhao, Gongshen Liu, Xiaoyong Li:
An Adversarial Approach for Unsupervised Syntax-Guided Paraphrase Generation. NLPCC (1) 2022: 364-376 - [c67]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: 20-37 - [i9]Jiawei Li, Ru Zhang, Jianyi Liu, Gongshen Liu:
LogKernel A Threat Hunting Approach Based on Behaviour Provenance Graph and Graph Kernel Clustering. CoRR abs/2208.08820 (2022) - [i8]Yutao Luo, Menghua Lu, Gongshen Liu, Shilin Wang:
Few-Shot Table-to-Text Generation with Prefix-Controlled Generator. CoRR abs/2208.10709 (2022) - [i7]Haodong Zhao, Wei Du, Fangqi Li, Peixuan Li, Gongshen Liu:
Reduce Communication Costs and Preserve Privacy: Prompt Tuning Method in Federated Learning. CoRR abs/2208.12268 (2022) - 2021
- [j14]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): 3205-3218 (2021) - [c66]Hao Zhou, Weidong Ren, Gongshen Liu, Bo Su, Wei Lu:
Entity-Aware Abstractive Multi-Document Summarization. ACL/IJCNLP (Findings) 2021: 351-362 - [c65]Ziyue Song, Zhiyuan Ma, Kaiyue Qi, Gongshen Liu:
Dynamic Tuning and Weighting of Meta-learning for NMT Domain Adaptation. ICANN (5) 2021: 576-587 - [c64]Junjie Guo, Zhiyuan Ma, Haodong Zhao, Gongshen Liu, Xiaoyong Li:
Speaker Verification with Disentangled Self-attention. ICONIP (1) 2021: 27-39 - [c63]Yichun Zhao, Kui Meng, Gongshen Liu:
A Multi-Channel Graph Attention Network for Chinese NER. ICONIP (1) 2021: 203-214 - [c62]Shuai Wang, Yuran Zhao, Gongshen Liu, Bo Su:
A Hierarchical Graph-Based Neural Network for Malware Classification. ICONIP (4) 2021: 621-633 - [c61]Linyi Ding, Weijie Yuan, Kui Meng, Gongshen Liu:
A Multi -Role Graph Attention Network for Knowledge Graph Alignment. IJCNN 2021: 1-8 - [c60]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: 1-8 - [c59]Weidong Ren, Hao Zhou, Gongshen Liu, Fei Huan:
ASM: Augmentation-based Semantic Mechanism on Abstractive Summarization. IJCNN 2021: 1-8 - [c58]Weijie Yuan, Linyi Ding, Kui Meng, Gongshen Liu:
Text Generation with Syntax - Enhanced Variational Autoencoder. IJCNN 2021: 1-8 - 2020
- [j13]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: 1138-1150 (2020) - [c57]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: 1725-1732 - [c56]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: 1106-1117 - [c55]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 - [c54]Wenjie Lu, Leiying Zhou, Gongshen Liu, Quanhai Zhang:
A Mixed Learning Objective for Neural Machine Translation. CNCL 2020: 201-213 - [c53]Qian Ji, Xiang Lin, Yinghua Ma, Gongshen Liu, Shilin Wang:
A Unified Labeling Model for Open-Domain Aspect-Based Sentiment Analysis. DSC 2020: 186-189 - [c52]Xiaoning Fan, Yiding Liu, Gongshen Liu, Bo Su:
A Memory-Based Sentence Split and Rephrase Model with Multi-task Training. ICONIP (1) 2020: 643-654 - [c51]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: 660-667 - [c50]Yiding Liu, Xiaoning Fan, Jie Zhou, Gongshen Liu:
Learning Interactions at Multiple Levels for Abstractive Multi-document Summarization. ICONIP (4) 2020: 676-684 - [c49]Leiying Zhou, Jie Zhou, Wenjie Lu, Kui Meng, Gongshen Liu:
Neural Machine Translation with Soft Reordering Knowledge. ICONIP (4) 2020: 693-700 - [c48]Jianshen Zhang, Yong Liao, YongAn Li, Gongshen Liu:
Sparse Hierarchical Modeling of Deep Contextual Attention for Document-Level Neural Machine Translation. ICONIP (1) 2020: 799-810 - [c47]Yilin Dai, Qian Ji, Gongshen Liu, Bo Su:
Multi-paragraph Reading Comprehension with Token-level Dynamic Reader and Hybrid Verifier. IJCNN 2020: 1-8 - [c46]Yong Liao, Kui Meng, Jianshen Zhang, Gongshen Liu:
Unleashing the Potential of Attention Model for News Headline Generation. IJCNN 2020: 1-8 - [c45]Wenjie Lu, Jie Zhou, Leiying Zhou, Gongshen Liu, Quanhai Zhang:
Challenge Training to Simulate Inference in Machine Translation. IJCNN 2020: 1-8 - [c44]Leiying Zhou, Wenjie Lu, Jie Zhou, Kui Meng, Gongshen Liu:
Incorporating Named Entity Information into Neural Machine Translation. NLPCC (1) 2020: 391-402 - [c43]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: 482-493 - [c42]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: 494-505 - [i6]Chaoqi Yang, Junwei Lu, Xiaofeng Gao, Haishan Liu, Qiong Chen, Gongshen Liu, Guihai Chen:
MoTiAC: Multi-Objective Actor-Critics for Real-Time Bidding. CoRR abs/2002.07408 (2020) - [i5]Hanwen Cao, Yongyi Lu, Cewu Lu, Bo Pang, Gongshen Liu, Alan L. Yuille:
ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation. CoRR abs/2008.05149 (2020)
2010 – 2019
- 2019
- [j12]Linqing Shi, Zeping Yu, Gongshen Liu:
Extensive Pyramid Networks for Text Classification. Aust. J. Intell. Inf. Process. Syst. 17(1): 17-23 (2019) - [j11]Linqing Shi, Danyang Liu, Gongshen Liu:
A Three-Stage Training Method for Abstractive Summarization. Aust. J. Intell. Inf. Process. Syst. 17(1): 54-61 (2019) - [j10]Zeping Yu, Linqing Shi, Gongshen Liu:
Dissect Sliced-RNN in Multi-Attention view. Aust. J. Intell. Inf. Process. Syst. 17(2): 61-68 (2019) - [j9]Fangqi Li, Shi-Lin Wang, Gongshen Liu:
A Bayesian Possibilistic C-Means clustering approach for cervical cancer screening. Inf. Sci. 501: 495-510 (2019) - [j8]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) - [c41]Jianing Zhou, Jingkang Wang, Gongshen Liu:
Multiple Character Embeddings for Chinese Word Segmentation. ACL (2) 2019: 210-216 - [c40]Qianfeng Chu, Gongshen Liu, Huanrong Sun, Cheng Zhou:
Next News Recommendation via Knowledge-Aware Sequential Model. CCL 2019: 221-232 - [c39]Linqing Shi, Danyang Liu, Gongshen Liu, Kui Meng:
AUG-BERT: An Efficient Data Augmentation Algorithm for Text Classification. CSPS 2019: 2191-2198 - [c38]Cheng Guan, Shilin Wang, Gongshen Liu, Alan Wee-Chung Liew:
Lip Image Segmentation in Mobile Devices Based on Alternative Knowledge Distillation. ICIP 2019: 1540-1544 - [c37]Jiana Yang, Shilin Wang, Gongshen Liu:
Viewpoint Estimation in Images by a Key-Point Based Deep Neural Network. ICIP 2019: 2551-2555 - [c36]Xinyu Zhu, Gongshen Liu, Bo Su:
Hierarchical Attention CNN and Entity-Aware for Relation Extraction. ICONIP (4) 2019: 87-94 - [c35]Xuewen Zhang, Kui Meng, Gongshen Liu:
Hie-Transformer: A Hierarchical Hybrid Transformer for Abstractive Article Summarization. ICONIP (3) 2019: 248-258 - [c34]Yuqi Zhang, Kui Meng, Gongshen Liu:
Paragraph-Level Hierarchical Neural Machine Translation. ICONIP (3) 2019: 328-339 - [c33]Ruxin Tan, Jiahui Sun, Bo Su, Gongshen Liu:
Transformer-DW: A Transformer Network with Dynamic and Weighted Head. ICONIP (2) 2019: 504-515 - [c32]Zeping Yu, Jianxun Lian, Ahmad Mahmoody, Gongshen Liu, Xing Xie:
Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation. IJCAI 2019: 4213-4219 - [c31]Danyang Liu, Gongshen Liu:
A Transformer-Based Variational Autoencoder for Sentence Generation. IJCNN 2019: 1-7 - [c30]Xinyu Zhu, Gongshen Liu, Bo Su, Jan Pan Nees:
Dynamic Label Correction for Distant Supervision Relation Extraction via Semantic Similarity. NLPCC (2) 2019: 16-27 - [c29]Ruxin Tan, Jiahui Sun, Bo Su, Gongshen Liu:
Extending the Transformer with Context and Multi-dimensional Mechanism for Dialogue Response Generation. NLPCC (2) 2019: 189-199 - 2018
- [j7]Ru Zhang, Gongshen Liu, Jianyi Liu, Jan P. Nees:
Analysis of Message Attacks in Aviation Data-Link Communication. IEEE Access 6: 455-463 (2018) - [j6]Yang Fan, Gongshen Liu, Meng Kui, Zhaoying Sun:
Neural Feedback Text Clustering With BiLSTM-CNN-Kmeans. IEEE Access 6: 57460-57469 (2018) - [j5]Zhaoying Sun, Gongshen Liu:
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 45(6A): 392-395 (2018) - [c28]Junjie Fu, Gongshen Liu:
A Joint Selective Mechanism for Abstractive Sentence Summarization. ACML 2018: 756-769 - [c27]Xiaosa Huang, Shilin Wang, Tanfeng Sun, Gongshen Liu, Xiang Lin:
Steganalysis of Adaptive JPEG Steganography Based on ResDet. APSIPA 2018: 549-553 - [c26]Zeping Yu, Gongshen Liu:
Sliced Recurrent Neural Networks. COLING 2018: 2953-2964 - [c25]Zhuosheng Zhang, Jiangtong Li, Pengfei Zhu, Hai Zhao, Gongshen Liu:
Modeling Multi-turn Conversation with Deep Utterance Aggregation. COLING 2018: 3740-3752 - [c24]Chen Huang, Gongshen Liu:
Sentiment Analysis of Network Comments Based on GCNN. CSAI/ICIMT 2018: 409-413 - [c23]Zuchao Li, Shexia He, Jiaxun Cai, Zhuosheng Zhang, Hai Zhao, Gongshen Liu, Linlin Li, Luo Si:
A Unified Syntax-aware Framework for Semantic Role Labeling. EMNLP 2018: 2401-2411 - [c22]Jianguo Liao, Shilin Wang, Xingxuan Zhang, Gongshen Liu:
3D Convolutional Neural Networks Based Speaker Identification and Authentication. ICIP 2018: 2042-2046 - [c21]Xizi Wang, Feng Cheng, Shilin Wang, Huanrong Sun, Gongshen Liu, Cheng Zhou:
Adult Image Classification by a Local-Context Aware Network. ICIP 2018: 2989-2993 - [c20]Xiaosa Huang, Shilin Wang, Gongshen Liu:
Detecting Double Jpeg Compression with Same Quantization Matrix Based on Dense Cnn Feature. ICIP 2018: 3813-3817 - [c19]Renjie Jin, Guangtao Xue, Feng Lyu, Hao Sheng, Gongshen Liu, Minglu Li:
Leveraging Inner-Connection of Message Sequence for Traffic Classification: A Deep Learning Approach. ICPADS 2018: 77-84 - [c18]Danyang Liu, Gongshen Liu, Kui Meng, Yuxuan He, Yutao Zhang:
Benchmark snapshots for testing social network evolving algorithms. IIKI 2018: 228-232 - [c17]Jie Zhou, Gongshen Liu, Huanrong Sun:
Paraphrase Identification Based on Weighted URAE, Unit Similarity and Context Correlation Feature. NLPCC (2) 2018: 41-53 - [c16]Jianhu Zhang, Gongshen Liu, Jie Zhou, Cheng Zhou, Huanrong Sun:
LM Enhanced BiRNN-CRF for Joint Chinese Word Segmentation and POS Tagging. NLPCC (2) 2018: 105-116 - [c15]Fan Yang, Jianhu Zhang, Gongshen Liu, Jie Zhou, Cheng Zhou, Huanrong Sun:
Five-Stroke Based CNN-BiRNN-CRF Network for Chinese Named Entity Recognition. NLPCC (1) 2018: 184-195 - [i4]Zhuosheng Zhang, Jiangtong Li, Pengfei Zhu, Hai Zhao, Gongshen Liu:
Modeling Multi-turn Conversation with Deep Utterance Aggregation. CoRR abs/1806.09102 (2018) - [i3]Zeping Yu, Gongshen Liu:
Sliced Recurrent Neural Networks. CoRR abs/1807.02291 (2018) - [i2]Ru Zhang, Feng Zhu, Jianyi Liu, Gongshen Liu:
Efficient feature learning and multi-size image steganalysis based on CNN. CoRR abs/1807.11428 (2018) - [i1]Jingkang Wang, Jianing Zhou, Gongshen Liu:
Multiple Character Embeddings for Chinese Word Segmentation. CoRR abs/1808.04963 (2018) - 2017
- [j4]Xiaofeng Wang, Gongshen Liu, Jianhua Li:
Overlapping Community Detection Based on Structural Centrality in Complex Networks. IEEE Access 5: 25258-25269 (2017) - [c14]Zhong Wang, Guangtao Xue, Shiyou Qian, Gongshen Liu, Minglu Li, Jian Cao, Jiadi Yu:
Ada-copy: An Adaptive Memory Copy Strategy for Virtual Machine Live Migration. ICPADS 2017: 461-468 - [c13]Zhenquan Xu, Gongshen Liu, Tielei Wang, Hao Xu:
Exploitations of Uninitialized Uses on macOS Sierra. WOOT 2017 - 2016
- [j3]Xiaofeng Wang, Gongshen Liu, Li Pan, Jianhua Li:
Uncovering fuzzy communities in networks with structural similarity. Neurocomputing 210: 26-33 (2016) - [c12]Gongshen Liu, Kui Meng, Hongyi Guo, Li Pan, Jianhua Li:
Automatic Threshold Calculation Based Label Propagation Algorithm for Overlapping Community. DSC 2016: 382-387 - [c11]Haolin Zhang, Gongshen Liu, Li Pan, Kui Meng, Jianhua Li:
GEV Regression with Convex Loss Applied to Imbalanced Binary Classification. DSC 2016: 532-537 - [c10]Yutao Zhang, Gongshen Liu, Jun Wu, Jianhua Li, Longhua Guo:
Toward interests drift mechanism for social network. SSIC 2016: 1-5 - 2014
- [c9]Kui Meng, Gongshen Liu, Qiong Hu, Jianhua Li:
An modularity-based overlapping community structure detecting algorithm. ASONAM 2014: 113-117 - [c8]Xiaofeng Wang, Gongshen Liu, Jianhua Li:
A detecting community method in complex networks with fuzzy clustering. DSAA 2014: 484-490 - 2013
- [j2]Gongshen Liu, Xiaoyun Ding, Bo Su, Kui Meng:
A Text Information Hiding Algorithm Based on Alternatives. J. Softw. 8(8): 2072-2079 (2013) - [j1]Gongshen Liu, Kui Meng, Jing Xie:
An Improved Topic Detection Method for Chinese Microblog Based On Incremental Clustering. J. Softw. 8(9): 2313-2320 (2013) - 2010
- [c7]Wenlei He, Gongshen Liu, Jun Luo, Jiuchuan Lin:
Text Content Filtering Based on Chinese Character Reconstruction from Radicals. e-Forensics 2010: 234-240 - [c6]Gongshen Liu, Huoyao Lai, Luo Jun, Jiuchuan Lin:
Predicting the semantic orientation of movie reviews. FSKD 2010: 2483-2488
2000 – 2009
- 2008
- [c5]Gongshen Liu:
A Biased Summary System and Its Implementation Technology. FSKD (4) 2008: 129-133 - [c4]Hui Liang, Yao Qian, Frank K. Soong, Gongshen Liu:
A cross-language state mapping approach to bilingual (Mandarin-English) TTS. ICASSP 2008: 4641-4644 - 2007
- [c3]Min Zuo, Jianhua Li, Gongshen Liu:
A Discussion on Personalized Trust Management for Flat P2P Communities. SITIS 2007: 193-199 - [c2]Min Zuo, Jianhua Li, Gongshen Liu:
An Adaptive Collaborative Filtering Algorithm for Online Reputation Systems. SITIS 2007: 1029-1035 - 2004
- [c1]Gongshen Liu, Jianhua Li, Xiang Li, Qiang Li:
New Feature Selection and Weighting Methods Based on Category Information. ICADL 2004: 330-338
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-15 20:44 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
