Fangfang Yuan

According to our database, Fangfang Yuan authored at least 25 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Consensus reaching with minimum adjustment and consistency management in group decision making with intuitionistic multiplicative preference relations.

Xiao-Yun Lu, Jiu-Ying Dong, Shu-Ping Wan, Fangfang Yuan

Expert Syst. Appl., December, 2023

Robust Malicious Domain Detection Against Adversarial Attacks on Heterogeneous Graph.

Yi Gao, Zhiping Li, Fangfang Yuan, Xiaoliang Zhang, Dakui Wang, Cong Cao, Yanbing Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

RegexClassifier: A GNN-Based Recognition Method for State-Explosive Regular Expressions.

Yuhai Lu, Xiaolin Wang, Fangfang Yuan, Cong Cao, Xiaoliang Zhang, Yanbing Liu

Proceedings of the IEEE Symposium on Computers and Communications, 2023

EDDVPL: A Web Attribute Extraction Method with Prompt Learning.

Yuling Yang, Jiali Feng, Baoke Li, Fangfang Yuan, Cong Cao, Yanbing Liu

Proceedings of the Neural Information Processing - 30th International Conference, 2023

A Contrastive Self-distillation BERT with Kernel Alignment-Based Inference.

Yangyan Xu, Fangfang Yuan, Cong Cao, Majing Su, Yuhai Lu, Yanbing Liu

Proceedings of the Computational Science - ICCS 2023, 2023

Self-supervised Deep Heterogeneous Graph Neural Networks with Contrastive Learning.

Zhiping Li, Fangfang Yuan, Cong Cao, Dakui Wang, Jiali Feng, Baoke Li, Yanbing Liu

Proceedings of the Computational Science - ICCS 2023, 2023

Mulan: A Multi-Level Alignment Model for Video Question Answering.

Yu Fu, Cong Cao, Yuling Yang, Yuhai Lu, Fangfang Yuan, Dakui Wang, Yanbing Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

MetaBERT: Collaborative Meta-Learning for Accelerating BERT Inference.

Yangyan Xu, Fangfang Yuan, Cong Cao, Xiaoliang Zhang, Majing Su, Dakui Wang, Yanbing Liu

Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

Curvature-Driven Knowledge Graph Embedding for Link Prediction.

Diandian Guo, Majing Su, Cong Cao, Fangfang Yuan, Xiaoliang Zhang, Yanbing Liu, Jianhui Fu

Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

Few-shot Malicious Domain Detection on Heterogeneous Graph with Meta-learning.

Yi Gao, Fangfang Yuan, Cong Cao, Majing Su, Dakui Wang, Yanbing Liu

Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

2022

Malicious Domain Detection with Heterogeneous Graph Propagation Network.

Cheng Hu, Fangfang Yuan, Yanbing Liu, Cong Cao, Chunyan Zhang, Jianlong Tan

Proceedings of the Wireless Algorithms, Systems, and Applications, 2022

EPGraph: An Efficient Graph Computing Model in Persistent Memory System.

Baoke Li, Cong Cao, Fangfang Yuan, Yanbing Liu, Baohui Li, Binxing Fang

Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022

DOM2R-Graph: A Web Attribute Extraction Architecture with Relation-Aware Heterogeneous Graph Transformer.

Jiali Feng, Cong Cao, Fangfang Yuan, Xiaoliang Zhang, Zhiping Li, Yanbing Liu, Jianlong Tan

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Heterogeneous Graph Attention Network for Malicious Domain Detection.

Zhiping Li, Fangfang Yuan, Yanbing Liu, Cong Cao, Fang Fang, Jianlong Tan

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021

Malicious Domain Detection on Imbalanced Data with Deep Reinforcement Learning.

Fangfang Yuan, Teng Tian, Yanmin Shang, Yuhai Lu, Yanbing Liu, Jianlong Tan

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

Data Augmentation for Insider Threat Detection with GAN.

Fangfang Yuan, Yanmin Shang, Yanbing Liu, Yanan Cao, Jianlong Tan

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

2019

Attention-Based LSTM for Insider Threat Detection.

Fangfang Yuan, Yanmin Shang, Yanbing Liu, Yanan Cao, Jianlong Tan

Proceedings of the Applications and Techniques in Information Security, 2019

2018

Insider Threat Detection with Deep Neural Network.

Fangfang Yuan, Yanan Cao, Yanmin Shang, Yanbing Liu, Jianlong Tan, Binxing Fang

Proceedings of the Computational Science - ICCS 2018, 2018

2017

Extended VIKOR method for multiple criteria decision-making with linguistic hesitant fuzzy information.

Jiuying Dong, Fangfang Yuan, Shuping Wan

Comput. Ind. Eng., 2017

2015

A Utility Function Based Resource Allocation Method for LEO Satellite Constellation System.

Fangfang Yuan, Xingwei Wang, Fuliang Li, Min Huang

Proceedings of the Intelligent Computing Theories and Methodologies, 2015

2013

Research of Intrusion Detection System on Android.

Fangfang Yuan, Lidong Zhai, Yanan Cao, Li Guo

Proceedings of the IEEE Ninth World Congress on Services, 2013

Hijacking Activity Technology Analysis and Research in Android System.

Yunlong Ren, Yue Li, Fangfang Yuan, Fangjiao Zhang

Proceedings of the Trustworthy Computing and Services, 2013

2012

Assessing the impact of processor design decisions on simulation based verification complexity using formal modeling with experiments at instruction set architecture level.

Fangfang Yuan

PhD thesis, 2012

Research on Redundant Channel Model Based on Spatial Correlation in IOT.

Fangjiao Zhang, Wei Guo, Jincui Yang, Fangfang Yuan, Lidong Zhai

Proceedings of the Trustworthy Computing and Services - International Conference, ISCTCS 2012, Beijing, China, May 28, 2012

2011

Managing Complexity through Abstraction: A Refinement-Based Approach to Formalize Instruction Set Architectures.

Fangfang Yuan, Stephen Wright, Kerstin Eder, David May

Proceedings of the Formal Methods and Software Engineering, 2011