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ORCIDYanbing Liu 0007
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2020 – today
- 2024
[c69]Yangyan Xu, Cong Cao
, Fangfang Yuan, Rongxin Mi, Dakui Wang, Yanbing Liu, Majing Su:
Data-Efficient Knowledge Distillation with Teacher Assistant-Based Dynamic Objective Alignment. ICCS (1) 2024: 181-195- [c68]Yi Gao, Fangfang Yuan, Jinglin Yang, Dakui Wang, Cong Cao, Yanbing Liu:
Semi-supervised Malicious Domain Detection Based on Meta Pseudo Labeling. ICCS (2) 2024: 312-324 - [c67]Liang Zhang, Peng Guo, Lin Dong, Fangfang Yuan, Dakui Wang, Cong Cao, Yanbing Liu:
Multi-Level Graph Convolutional Network for Document Information Extraction. ICTAI 2024: 247-255 - [c66]Yangyan Xu, Cong Cao, Fangfang Yuan, Rongxin Mi, Nannan Sun, Dakui Wang, Yanbing Liu:
Efficient One-Shot Pruning of Large Language Models with Low-Rank Approximation. SMC 2024: 1036-1041 - [c65]Yuling Yang, Cong Cao, Fangfang Yuan, Shuai Zeng, Dakui Wang, Yanbing Liu:
Enhancing GPT-3.5 for Knowledge-Based VQA with In-Context Prompt Learning and Image Captioning. SMC 2024: 4030-4035 - [c64]Xusheng Zhao, Hao Peng, Qiong Dai, Xu Bai, Huailiang Peng, Yanbing Liu, Qinglang Guo, Philip S. Yu:
RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis. WSDM 2024: 976-984 - [i3]Diandian Guo, Cong Cao, Fangfang Yuan, Dakui Wang, Wei Ma, Yanbing Liu, Jianhui Fu:
Can Multimodal Large Language Model Think Analogically? CoRR abs/2411.01307 (2024) - [i2]Diandian Guo, Cong Cao, Fangfang Yuan, Yanbing Liu, Guangjie Zeng, Xiaoyan Yu, Hao Peng, Philip S. Yu:
Multi-View Incongruity Learning for Multimodal Sarcasm Detection. CoRR abs/2412.00756 (2024) - 2023
- [c63]Baoke Li, Cong Cao, Fangfang Yuan, Yuling Yang, Majing Su, Yanbing Liu, Jianhui Fu:
NPGraph: An Efficient Graph Computing Model in NUMA-Based Persistent Memory Systems. CollaborateCom (2) 2023: 205-222 - [c62]Yangyan Xu, Fangfang Yuan, Cong Cao, Xiaoliang Zhang, Majing Su, Dakui Wang, Yanbing Liu:
MetaBERT: Collaborative Meta-Learning for Accelerating BERT Inference. CSCWD 2023: 119-124 - [c61]Yi Gao, Fangfang Yuan, Cong Cao, Majing Su, Dakui Wang, Yanbing Liu:
Few-shot Malicious Domain Detection on Heterogeneous Graph with Meta-learning. CSCWD 2023: 727-732 - [c60]Diandian Guo, Majing Su, Cong Cao, Fangfang Yuan, Xiaoliang Zhang, Yanbing Liu, Jianhui Fu:
Curvature-Driven Knowledge Graph Embedding for Link Prediction. CSCWD 2023: 1226-1231 - [c59]Yu Fu, Cong Cao, Yuling Yang, Yuhai Lu, Fangfang Yuan, Dakui Wang, Yanbing Liu:
Mulan: A Multi-Level Alignment Model for Video Question Answering. EMNLP (Findings) 2023: 5475-5489 - [c58]Zhiping Li, Fangfang Yuan, Cong Cao, Majing Su, Yuhai Lu, Yanbing Liu:
Malicious Domain Detection Based on Self-supervised HGNNs with Contrastive Learning. ICANN (3) 2023: 62-73 - [c57]Zhiping Li, Fangfang Yuan, Cong Cao, Dakui Wang, Jiali Feng, Baoke Li, Yanbing Liu:
Self-supervised Deep Heterogeneous Graph Neural Networks with Contrastive Learning. ICCS (1) 2023: 268-282 - [c56]Yangyan Xu, Fangfang Yuan, Cong Cao, Majing Su, Yuhai Lu, Yanbing Liu:
A Contrastive Self-distillation BERT with Kernel Alignment-Based Inference. ICCS (1) 2023: 553-565 - [c55]Yuling Yang, Jiali Feng, Baoke Li, Fangfang Yuan, Cong Cao, Yanbing Liu:
EDDVPL: A Web Attribute Extraction Method with Prompt Learning. ICONIP (14) 2023: 474-484 - [c54]Yuhai Lu, Xiaolin Wang, Fangfang Yuan, Cong Cao, Xiaoliang Zhang, Yanbing Liu:
RegexClassifier: A GNN-Based Recognition Method for State-Explosive Regular Expressions. ISCC 2023: 1039-1045 - [c53]Yi Gao, Zhiping Li, Fangfang Yuan, Xiaoliang Zhang, Dakui Wang, Cong Cao, Yanbing Liu:
Robust Malicious Domain Detection Against Adversarial Attacks on Heterogeneous Graph. SMC 2023: 2028-2033 - [i1]Xusheng Zhao, Hao Peng, Qiong Dai, Xu Bai, Huailiang Peng, Yanbing Liu, Qinglang Guo, Philip S. Yu:
RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis. CoRR abs/2311.04467 (2023) - 2022
- [c52]Zhiping Li, Fangfang Yuan, Yanbing Liu, Cong Cao, Fang Fang, Jianlong Tan:
Heterogeneous Graph Attention Network for Malicious Domain Detection. ICANN (2) 2022: 506-518 - [c51]Jiali Feng, Cong Cao, Fangfang Yuan, Xiaoliang Zhang, Zhiping Li, Yanbing Liu, Jianlong Tan:
DOM2R-Graph: A Web Attribute Extraction Architecture with Relation-Aware Heterogeneous Graph Transformer. ICONIP (1) 2022: 468-479 - [c50]Baoke Li, Cong Cao, Fangfang Yuan, Yanbing Liu, Baohui Li, Binxing Fang:
EPGraph: An Efficient Graph Computing Model in Persistent Memory System. ISPA/BDCloud/SocialCom/SustainCom 2022: 9-17 - [c49]Cheng Hu, Fangfang Yuan, Yanbing Liu, Cong Cao, Chunyan Zhang, Jianlong Tan:
Malicious Domain Detection with Heterogeneous Graph Propagation Network. WASA (1) 2022: 545-556 - 2021
- [j3]Xiaoxue Li, Yanan Cao, Qian Li, Yanmin Shang, Yangxi Li, Yanbing Liu, Guandong Xu:
RLINK: Deep reinforcement learning for user identity linkage. World Wide Web 24(1): 85-103 (2021) - [c48]Ruipeng Jia, Yanan Cao, Fang Fang, Yuchen Zhou, Zheng Fang, Yanbing Liu, Shi Wang:
Deep Differential Amplifier for Extractive Summarization. ACL/IJCNLP (1) 2021: 366-376 - [c47]Yuhai Lu, Chunyan Zhang, Cong Cao, Yanbing Liu, Jianlong Tan:
BV-CEI: A Compact Implementation of Interval Query Indexing Algorithm. BigDataSE 2021: 80-86 - [c46]Lu Zhang, Yawei Kong, Fang Fang, Cong Cao, Yanan Cao, Yanbing Liu, Can Ma:
Human-Like Storyteller: A Hierarchical Network with Gated Memory for Visual Storytelling. ICCS (2) 2021: 257-270 - [c45]Fangfang Yuan, Teng Tian, Yanmin Shang, Yuhai Lu, Yanbing Liu, Jianlong Tan:
Malicious Domain Detection on Imbalanced Data with Deep Reinforcement Learning. ICONIP (4) 2021: 464-476 - [c44]Baoke Li, Cong Cao, Yuhai Lu, Yanbing Liu, Baohui Li, Binxing Fang, Jianhui Fu:
D2Graph: An Efficient and Unified Out-of-Core Graph Computing Model. ISPA/BDCloud/SocialCom/SustainCom 2021: 193-201 - [c43]Yubao Tang, Zhezhou Li, Cong Cao, Fang Fang, Yanan Cao, Yanbing Liu, Jianhui Fu:
Knowledge-Based Diverse Feature Transformation for Few-Shot Relation Classification. KSEM 2021: 101-114 - 2020
- [j2]Jing Yu, Yuhang Lu, Weifeng Zhang, Zengchang Qin, Yanbing Liu, Yue Hu:
Learning cross-modal correlations by exploring inter-word semantics and stacked co-attention. Pattern Recognit. Lett. 130: 189-198 (2020) - [c42]Ruipeng Jia, Yanan Cao, Haichao Shi, Fang Fang, Yanbing Liu, Jianlong Tan:
DistilSum: : Distilling the Knowledge for Extractive Summarization. CIKM 2020: 2069-2072 - [c41]Jie Xie, Yuhai Lu, Cong Cao, Zhenzhen Li, Yangyang Guan, Yanbing Liu:
Joint Entity Linking for Web Tables with Hybrid Semantic Matching. ICCS (2) 2020: 618-631 - [c40]Fangfang Yuan, Yanmin Shang, Yanbing Liu, Yanan Cao, Jianlong Tan:
Data Augmentation for Insider Threat Detection with GAN. ICTAI 2020: 632-638 - [c39]Ruipeng Jia, Yannan Cao, Fang Fang, Jinpeng Li, Yanbing Liu, Pengfei Yin:
Enhancing Textual Representation for Abstractive Summarization: Leveraging Masked Decoder. IJCNN 2020: 1-8 - [c38]Ruipeng Jia, Yannan Cao, Fang Fang, Jinpeng Li, Yanbing Liu, Pengfei Yin:
Enhancing Pre-trained Language Representation for Multi-Task Learning of Scientific Summarization. IJCNN 2020: 1-8 - [c37]Hui Shi, Wei Ma, Xiaoliang Zhang, Junyan Jiang, Yanbing Liu, Shujuan Chen:
A Hybrid Paper Recommendation Method by Using Heterogeneous Graph and Metadata. IJCNN 2020: 1-8 - [c36]Zheng Fang, Yanan Cao, Ren Li, Zhenyu Zhang, Yanbing Liu, Shi Wang:
High Quality Candidate Generation and Sequential Graph Attention Network for Entity Linking. WWW 2020: 640-650
2010 – 2019
- 2019
- [c35]Yuhai Lu, Yanbing Liu, Gongxin Sun, Jianlong Tan:
A Memory-Efficient Multiple String Matching Algorithm Based on Charset Transformation. ATIS 2019: 3-15 - [c34]Fangfang Yuan, Yanmin Shang, Yanbing Liu, Yanan Cao, Jianlong Tan:
Attention-Based LSTM for Insider Threat Detection. ATIS 2019: 192-201 - [c33]Jingjing Guo, Jing Yu, Yuhang Lu, Yue Hu, Yanbing Liu:
2D-Convolution Based Feature Fusion for Cross-Modal Correlation Learning. ICCS (2) 2019: 131-144 - [c32]Yanmin Shang, Zhezhou Kang, Yanan Cao, Dongjie Zhang, Yang Li, Yangxi Li, Yanbing Liu:
PAAE: A Unified Framework for Predicting Anchor Links with Adversarial Embedding. ICME 2019: 682-687 - [c31]Nguyen Nang An, Nguyen Quang Thanh, Yanbing Liu, Fei Wu:
Combining Deep Neural Network with SVM to Identify Used in IOT. IWCMC 2019: 1145-1149 - [c30]Yuchen Zhou, Yanmin Shang, Yaman Cao, Yanbing Liu, Jianlong Tan:
UAFA: Unsupervised Attribute-Friendship Attention Framework for User Representation. KSEM (1) 2019: 155-167 - [c29]Zheng Fang, Yanan Cao, Qian Li, Dongjie Zhang, Zhenyu Zhang, Yanbing Liu:
Joint Entity Linking with Deep Reinforcement Learning. WWW 2019: 438-447 - 2018
- [c28]Dongjie Zhang, Zheng Fang, Yanan Cao, Yanbing Liu, Xiaojun Chen, Jianlong Tan:
Attention-Based RNN Model for Joint Extraction of Intent and Word Slot Based on a Tagging Strategy. ICANN (3) 2018: 178-188 - [c27]Wenpeng Liu, Yanan Cao, Yanbing Liu, Yue Hu, Jianlong Tan:
Reinforcement Learning for Joint Extraction of Entities and Relations. ICANN (2) 2018: 263-272 - [c26]Zhezhou Kang, Xiaoxue Li, Yanan Cao, Yanmin Shang, Yanbing Liu, Li Guo:
Hierarchical Attention Networks for User Profile Inference in Social Media Systems. ICANN (3) 2018: 805-816 - [c25]Yuhai Lu, Yanbing Liu, Chunyan Zhang, Jianlong Tan:
A Data-Deduplication-Based Matching Mechanism for URL Filtering. ICC 2018: 1-6 - [c24]Fangfang Yuan, Yanan Cao, Yanmin Shang, Yanbing Liu, Jianlong Tan, Binxing Fang:
Insider Threat Detection with Deep Neural Network. ICCS (1) 2018: 43-54 - [c23]Wenpeng Liu, Yanan Cao, Cong Cao, Yanbing Liu, Yue Hu, Li Guo:
An Adversarial Training Framework for Relation Classification. ICCS (2) 2018: 194-205 - [c22]Hao Xu, Yanan Cao, Yanmin Shang, Yanbing Liu, Jianlong Tan, Li Guo:
Adversarial Reinforcement Learning for Chinese Text Summarization. ICCS (3) 2018: 519-532 - [c21]Jie Xie, Cong Cao, Yanbing Liu, Yanan Cao, Baoke Li, Jianlong Tan:
Column Concept Determination for Chinese Web Tables via Convolutional Neural Network. ICCS (3) 2018: 533-544 - [c20]Hao Xu, Yanan Cao, Ruipeng Jia, Yanbing Liu, Jianlong Tan:
Sequence Generative Adversarial Network for Long Text Summarization. ICTAI 2018: 242-248 - [c19]Yuhang Lu, Jing Yu, Yanbing Liu, Jianlong Tan, Li Guo, Weifeng Zhang:
Fine-Grained Correlation Learning with Stacked Co-attention Networks for Cross-Modal Information Retrieval. KSEM (1) 2018: 213-225 - [c18]Qingyue Wang, Yanjing Song, Hao Liu, Yanan Cao, Yanbing Liu, Li Guo:
A Sequence Transformation Model for Chinese Named Entity Recognition. KSEM (1) 2018: 491-502 - [c17]Jing Yu, Yuhang Lu, Zengchang Qin, Weifeng Zhang, Yanbing Liu, Jianlong Tan, Li Guo:
Modeling Text with Graph Convolutional Network for Cross-Modal Information Retrieval. PCM (1) 2018: 223-234 - 2017
- [c16]Jing Yu, Xiaomei Liu, Yanbing Liu, Yue Hu:
Multiple Pattern Graph Correlations for Efficient Graph Pattern Matching. AICCSA 2017: 469-474 - [c15]Yanan Cao, Shi Wang, Xiaoxue Li, Cong Cao, Yanbing Liu, Jianlong Tan:
Inferring Social Network User's Interest Based on Convolutional Neural Network. ICONIP (5) 2017: 657-666 - [c14]Xiaoxue Li, Yanan Cao, Yanmin Shang, Yanbing Liu, Jianlong Tan, Li Guo:
Inferring User Profiles in Online Social Networks Based on Convolutional Neural Network. KSEM 2017: 274-286 - 2015
- [c13]Yu Zhang, Yanbing Liu, Jing Yu, Ping Liu, Li Guo:
VSEP: A Distributed Algorithm for Graph Edge Partitioning. ICA3PP (Workshops and Symposiums) 2015: 71-84 - 2014
- [c12]Yu Zhang, Gang Xiong, Yanbing Liu, Mengya Liu, Ping Liu, Li Guo:
Delta-K 2-tree for Compact Representation of Web Graphs. APWeb 2014: 270-281 - [c11]Yanbing Liu, Qingyun Liu, Ping Liu, Jianlong Tan, Li Guo:
A factor-searching-based multiple string matching algorithm for intrusion detection. ICC 2014: 653-658 - [c10]Xiaofei Zhou, Li Guo, Ping Liu, Yanbing Liu:
Latent Factor SVM for Text Categorization. ICDM Workshops 2014: 105-110 - [c9]Yan Shao, Yanbing Liu, Jianlong Tan:
Accelerating DFA Construction by Parallelizing Subset Construction. ISCTCS 2014: 16-24 - 2012
- [c8]Lei Jiang, Jianlong Tan, Yanbing Liu:
ClusterFA: a memory-efficient DFA structure for network intrusion detection. AsiaCCS 2012: 65-66 - [c7]Shuai Niu, Yanbing Liu, Xinbo Song:
Speeding Up Double-Array Trie Construction for String Matching. ISCTCS 2012: 572-579 - 2011
- [j1]Guangming Tan, Ping Liu, Dongbo Bu, Yanbing Liu:
Revisiting Multiple Pattern Matching Algorithms for Multi-Core Architecture. J. Comput. Sci. Technol. 26(5): 866-874 (2011) - [c6]Tingwen Liu, Yifu Yang, Yanbing Liu, Yong Sun, Li Guo:
An efficient regular expressions compression algorithm from a new perspective. INFOCOM 2011: 2129-2137 - [c5]Yanbing Liu, Li Guo, Muyi Guo, Ping Liu:
Accelerating DFA Construction by Hierarchical Merging. ISPA 2011: 1-6 - 2010
- [c4]Yanbing Liu, Li Guo, Ping Liu, Jianlong Tan:
Compressing Regular Expressions' DFA Table by Matrix Decomposition. CIAA 2010: 282-289
2000 – 2009
- 2009
- [c3]Yanbing Liu, Yifu Yang, Ping Liu, Jianlong Tan:
A Table Compression Method for Extended Aho-Corasick Automaton. CIAA 2009: 84-93 - 2008
- [c2]Jianlong Tan, Yanbing Liu, Ping Liu:
Accelerating Multiple String Matching by Using Cache-Efficient Strategy. WAIM 2008: 539-545 - 2005
- [c1]Ping Liu, Yanbing Liu, Jianlong Tan:
A Partition-Based Efficient Algorithm for Large Scale Multiple-Strings Matching. SPIRE 2005: 399-404
Coauthor Index
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