Managing Complexity through Abstraction: A Refinement-Based Approach to Formalize Instruction Set Architectures. - Fangfang Yuan; Stephen Wright; Kerstin Eder; David May 001 (ICFEM, 2011)

Research on Redundant Channel Model Based on Spatial Correlation in IOT. - Fangjiao Zhang; Wei Guo; Jincui Yang; Fangfang Yuan; Lidong Zhai (ISCTCS, 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 (2012)

Hijacking Activity Technology Analysis and Research in Android System. - Yunlong Ren; Yue Li; Fangfang Yuan; Fangjiao Zhang (ISCTCS, 2013)

Research of Intrusion Detection System on Android. - Fangfang Yuan; Lidong Zhai; Yanan Cao 001; Li Guo 001 (SERVICES, 2013)

A Utility Function Based Resource Allocation Method for LEO Satellite Constellation System. - Fangfang Yuan; Xingwei Wang 001; Fuliang Li; Min Huang 001 (ICIC (1), 2015)

Extended VIKOR method for multiple criteria decision-making with linguistic hesitant fuzzy information. - Jiuying Dong; Fangfang Yuan; Shuping Wan (Comput. Ind. Eng., 2017)

Insider Threat Detection with Deep Neural Network. - Fangfang Yuan; Yanan Cao 001; Yanmin Shang; Yanbing Liu; Jianlong Tan; Binxing Fang (ICCS (1), 2018)

Attention-Based LSTM for Insider Threat Detection. - Fangfang Yuan; Yanmin Shang; Yanbing Liu; Yanan Cao 001; Jianlong Tan (ATIS, 2019)

Data Augmentation for Insider Threat Detection with GAN. - Fangfang Yuan; Yanmin Shang; Yanbing Liu; Yanan Cao 001; Jianlong Tan (ICTAI, 2020)

Malicious Domain Detection on Imbalanced Data with Deep Reinforcement Learning. - Fangfang Yuan; Teng Tian; Yanmin Shang; Yuhai Lu; Yanbing Liu; Jianlong Tan (ICONIP (4), 2021)

Heterogeneous Graph Attention Network for Malicious Domain Detection. - Zhiping Li; Fangfang Yuan; Yanbing Liu; Cong Cao 001; Fang Fang 009; Jianlong Tan (ICANN (2), 2022)

DOM2R-Graph: A Web Attribute Extraction Architecture with Relation-Aware Heterogeneous Graph Transformer. - Jiali Feng; Cong Cao 001; Fangfang Yuan; Xiaoliang Zhang; Zhiping Li; Yanbing Liu; Jianlong Tan (ICONIP (1), 2022)

EPGraph: An Efficient Graph Computing Model in Persistent Memory System. - Baoke Li; Cong Cao 001; Fangfang Yuan; Yanbing Liu; Baohui Li; Binxing Fang (ISPA/BDCloud/SocialCom/SustainCom, 2022)

Malicious Domain Detection with Heterogeneous Graph Propagation Network. - Cheng Hu; Fangfang Yuan; Yanbing Liu; Cong Cao 001; Chunyan Zhang; Jianlong Tan (WASA (1), 2022)

NPGraph: An Efficient Graph Computing Model in NUMA-Based Persistent Memory Systems. - Baoke Li; Cong Cao 001; Fangfang Yuan; Yuling Yang; Majing Su; Yanbing Liu; Jianhui Fu (CollaborateCom (2), 2023)

Few-shot Malicious Domain Detection on Heterogeneous Graph with Meta-learning. - Yi Gao; Fangfang Yuan; Cong Cao 001; Majing Su; Dakui Wang; Yanbing Liu (CSCWD, 2023)

Curvature-Driven Knowledge Graph Embedding for Link Prediction. - Diandian Guo; Majing Su; Cong Cao 001; Fangfang Yuan; Xiaoliang Zhang; Yanbing Liu; Jianhui Fu (CSCWD, 2023)

MetaBERT: Collaborative Meta-Learning for Accelerating BERT Inference. - Yangyan Xu; Fangfang Yuan; Cong Cao 001; Xiaoliang Zhang; Majing Su; Dakui Wang; Yanbing Liu (CSCWD, 2023)

Mulan: A Multi-Level Alignment Model for Video Question Answering. - Yu Fu; Cong Cao 001; Yuling Yang; Yuhai Lu; Fangfang Yuan; Dakui Wang; Yanbing Liu (EMNLP (Findings), 2023)

Malicious Domain Detection Based on Self-supervised HGNNs with Contrastive Learning. - Zhiping Li; Fangfang Yuan; Cong Cao 001; Majing Su; Yuhai Lu; Yanbing Liu (ICANN (3), 2023)

Self-supervised Deep Heterogeneous Graph Neural Networks with Contrastive Learning. - Zhiping Li; Fangfang Yuan; Cong Cao 001; Dakui Wang; Jiali Feng; Baoke Li; Yanbing Liu (ICCS (1), 2023)

A Contrastive Self-distillation BERT with Kernel Alignment-Based Inference. - Yangyan Xu; Fangfang Yuan; Cong Cao 001; Majing Su; Yuhai Lu; Yanbing Liu (ICCS (1), 2023)

EDDVPL: A Web Attribute Extraction Method with Prompt Learning. - Yuling Yang; Jiali Feng; Baoke Li; Fangfang Yuan; Cong Cao 001; Yanbing Liu (ICONIP (14), 2023)

RegexClassifier: A GNN-Based Recognition Method for State-Explosive Regular Expressions. - Yuhai Lu; Xiaolin Wang; Fangfang Yuan; Cong Cao 001; Xiaoliang Zhang; Yanbing Liu (ISCC, 2023)

Robust Malicious Domain Detection Against Adversarial Attacks on Heterogeneous Graph. - Yi Gao; Zhiping Li; Fangfang Yuan; Xiaoliang Zhang; Dakui Wang; Cong Cao 001; Yanbing Liu (SMC, 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., 2023)

Semi-supervised Malicious Domain Detection Based on Meta Pseudo Labeling. - Yi Gao; Fangfang Yuan; Jinglin Yang; Dakui Wang; Cong Cao 001; Yanbing Liu (ICCS (2), 2024)

Data-Efficient Knowledge Distillation with Teacher Assistant-Based Dynamic Objective Alignment. - Yangyan Xu; Cong Cao 001; Fangfang Yuan; Rongxin Mi; Dakui Wang; Yanbing Liu; Majing Su (ICCS (1), 2024)

Multi-Level Graph Convolutional Network for Document Information Extraction. - Liang Zhang; Peng Guo; Lin Dong; Fangfang Yuan; Dakui Wang; Cong Cao 001; Yanbing Liu (ICTAI, 2024)

Efficient One-Shot Pruning of Large Language Models with Low-Rank Approximation. - Yangyan Xu; Cong Cao 001; Fangfang Yuan; Rongxin Mi; Nannan Sun; Dakui Wang; Yanbing Liu (SMC, 2024)

Enhancing GPT-3.5 for Knowledge-Based VQA with In-Context Prompt Learning and Image Captioning. - Yuling Yang; Cong Cao 001; Fangfang Yuan; Shuai Zeng; Dakui Wang; Yanbing Liu (SMC, 2024)

Can Multimodal Large Language Model Think Analogically? - Diandian Guo; Cong Cao 001; Fangfang Yuan; Dakui Wang; Wei Ma; Yanbing Liu; Jianhui Fu (CoRR, 2024)

Multi-View Incongruity Learning for Multimodal Sarcasm Detection. - Diandian Guo; Cong Cao 001; Fangfang Yuan; Yanbing Liu; Guangjie Zeng; Xiaoyan Yu; Hao Peng 001; Philip S. Yu (COLING, 2025)

ReTD: Reconstruction-Based Traceability Detection for Generated Images. - Weizhuo Chen; Fangfang Yuan; Cong Cao 001; Kun Peng; Dakui Wang; Yanbing Liu (ICASSP, 2025)