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2020 – today
- 2024
[c26]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- [c25]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 - 2023
- [j2]Xiao-Yun Lu, Jiu-Ying Dong, Shu-Ping Wan
, Fangfang Yuan:
Consensus reaching with minimum adjustment and consistency management in group decision making with intuitionistic multiplicative preference relations. Expert Syst. Appl. 232: 120674 (2023) - [c24]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 - [c23]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 - [c22]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 - [c21]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 - [c20]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 - [c19]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 - [c18]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 - [c17]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 - [c16]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 - [c15]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 - [c14]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 - 2022
- [c13]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 - [c12]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 - [c11]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 - [c10]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
- [c9]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 - 2020
- [c8]Fangfang Yuan, Yanmin Shang, Yanbing Liu, Yanan Cao, Jianlong Tan:
Data Augmentation for Insider Threat Detection with GAN. ICTAI 2020: 632-638
2010 – 2019
- 2019
- [c7]Fangfang Yuan, Yanmin Shang, Yanbing Liu, Yanan Cao, Jianlong Tan:
Attention-Based LSTM for Insider Threat Detection. ATIS 2019: 192-201 - 2018
- [c6]Fangfang Yuan, Yanan Cao, Yanmin Shang, Yanbing Liu, Jianlong Tan, Binxing Fang:
Insider Threat Detection with Deep Neural Network. ICCS (1) 2018: 43-54 - 2017
- [j1]Jiuying Dong, Fangfang Yuan, Shuping Wan:
Extended VIKOR method for multiple criteria decision-making with linguistic hesitant fuzzy information. Comput. Ind. Eng. 112: 305-319 (2017) - 2015
- [c5]Fangfang Yuan, Xingwei Wang, Fuliang Li, Min Huang:
A Utility Function Based Resource Allocation Method for LEO Satellite Constellation System. ICIC (1) 2015: 546-557 - 2013
- [c4]Yunlong Ren, Yue Li, Fangfang Yuan, Fangjiao Zhang:
Hijacking Activity Technology Analysis and Research in Android System. ISCTCS 2013: 46-53 - [c3]Fangfang Yuan, Lidong Zhai, Yanan Cao, Li Guo:
Research of Intrusion Detection System on Android. SERVICES 2013: 312-316 - 2012
- [b1]Fangfang Yuan:
Assessing the impact of processor design decisions on simulation based verification complexity using formal modeling with experiments at instruction set architecture level. University of Bristol, UK, 2012 - [c2]Fangjiao Zhang, Wei Guo, Jincui Yang, Fangfang Yuan, Lidong Zhai:
Research on Redundant Channel Model Based on Spatial Correlation in IOT. ISCTCS 2012: 666-672 - 2011
- [c1]Fangfang Yuan, Stephen Wright, Kerstin Eder, David May:
Managing Complexity through Abstraction: A Refinement-Based Approach to Formalize Instruction Set Architectures. ICFEM 2011: 585-600
Coauthor Index
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last updated on 2024-10-07 22:11 CEST by the dblp team
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