| 2026 | AAAI | OPERA: A Reinforcement Learning-Enhanced Orchestrated Planner-Executor Architecture for Reasoning-Oriented Multi-Hop Retrieval. | Yu Liu, Yanbing Liu, Fangfang Yuan, Cong Cao, Youbang Sun, Kun Peng, Weizhuo Chen, Jianjun Li, Zhiyuan Ma |
| 2026 | ACL | Two Streams, One Sarcasm: Orthogonal Expert Tuning for Holistic Multimodal Sarcasm Understanding. | Diandian Guo, Cong Cao, Fangfang Yuan, Pin Xu, Cheng Hu, Zhicheng Zhang, Yu Liu, Yanbing Liu |
| 2026 | ACL | Conformal Event Prediction with Temporal Knowledge Graph. | Cheng Hu, Cong Cao, Fangfang Yuan, Diandian Guo, Pin Xu, Yu Liu, Yanbing Liu |
| 2026 | DASFAA | Trans-RAG: Query-Centric Vector Transformation for Secure Cross-Organizational Retrieval. | Yu Liu, Kun Peng, Wenxiao Zhang, Fangfang Yuan, Cong Cao, Wenxuan Lu, Yanbing Liu |
| 2026 | WWW | MuVaC: A Variational Causal Framework for Multimodal Sarcasm Understanding in Dialogues. | Diandian Guo, Fangfang Yuan, Cong Cao, Xixun Lin, Chuan Zhou, Hao Peng, Yanan Cao, Yanbing Liu |
| 2025 | ADMA | Context-Aware Heterogeneous Graph Interactive Learning for Document-Level Event Extraction. | Yang Liu, Fumin Guo, Cheng Hu, Fangfang Yuan, Cong Cao, Lei Zhang |
| 2025 | COLING | Multi-View Incongruity Learning for Multimodal Sarcasm Detection. | Diandian Guo, Cong Cao, Fangfang Yuan, Yanbing Liu, Guangjie Zeng, Xiaoyan Yu, Hao Peng, Philip S. Yu |
| 2025 | ICASSP | ReTD: Reconstruction-Based Traceability Detection for Generated Images. | Weizhuo Chen, Fangfang Yuan, Cong Cao, Kun Peng, Dakui Wang, Yanbing Liu |
| 2024 | ICCS | Semi-supervised Malicious Domain Detection Based on Meta Pseudo Labeling. | Yi Gao, Fangfang Yuan, Jinglin Yang, Dakui Wang, Cong Cao, Yanbing Liu |
| 2024 | ICCS | Data-Efficient Knowledge Distillation with Teacher Assistant-Based Dynamic Objective Alignment. | Yangyan Xu, Cong Cao, Fangfang Yuan, Rongxin Mi, Dakui Wang, Yanbing Liu, Majing Su |
| 2024 | ICTAI | Multi-Level Graph Convolutional Network for Document Information Extraction. | Liang Zhang, Peng Guo, Lin Dong, Fangfang Yuan, Dakui Wang, Cong Cao, Yanbing Liu |
| 2024 | SMC | Efficient One-Shot Pruning of Large Language Models with Low-Rank Approximation. | Yangyan Xu, Cong Cao, Fangfang Yuan, Rongxin Mi, Nannan Sun, Dakui Wang, Yanbing Liu |
| 2024 | SMC | Enhancing GPT-3.5 for Knowledge-Based VQA with In-Context Prompt Learning and Image Captioning. | Yuling Yang, Cong Cao, Fangfang Yuan, Shuai Zeng, Dakui Wang, Yanbing Liu |
| 2023 | CSCWD | Few-shot Malicious Domain Detection on Heterogeneous Graph with Meta-learning. | Yi Gao, Fangfang Yuan, Cong Cao, Majing Su, Dakui Wang, Yanbing Liu |
| 2023 | CSCWD | Curvature-Driven Knowledge Graph Embedding for Link Prediction. | Diandian Guo, Majing Su, Cong Cao, Fangfang Yuan, Xiaoliang Zhang, Yanbing Liu, Jianhui Fu |
| 2023 | CSCWD | MetaBERT: Collaborative Meta-Learning for Accelerating BERT Inference. | Yangyan Xu, Fangfang Yuan, Cong Cao, Xiaoliang Zhang, Majing Su, Dakui Wang, Yanbing Liu |
| 2023 | EMNLP | Mulan: A Multi-Level Alignment Model for Video Question Answering. | Yu Fu, Cong Cao, Yuling Yang, Yuhai Lu, Fangfang Yuan, Dakui Wang, Yanbing Liu |
| 2023 | ICANN | Malicious Domain Detection Based on Self-supervised HGNNs with Contrastive Learning. | Zhiping Li, Fangfang Yuan, Cong Cao, Majing Su, Yuhai Lu, Yanbing Liu |
| 2023 | ICCS | Self-supervised Deep Heterogeneous Graph Neural Networks with Contrastive Learning. | Zhiping Li, Fangfang Yuan, Cong Cao, Dakui Wang, Jiali Feng, Baoke Li, Yanbing Liu |
| 2023 | ICCS | A Contrastive Self-distillation BERT with Kernel Alignment-Based Inference. | Yangyan Xu, Fangfang Yuan, Cong Cao, Majing Su, Yuhai Lu, Yanbing Liu |
| 2023 | ICONIP | EDDVPL: A Web Attribute Extraction Method with Prompt Learning. | Yuling Yang, Jiali Feng, Baoke Li, Fangfang Yuan, Cong Cao, Yanbing Liu |
| 2023 | ISCC | RegexClassifier: A GNN-Based Recognition Method for State-Explosive Regular Expressions. | Yuhai Lu, Xiaolin Wang, Fangfang Yuan, Cong Cao, Xiaoliang Zhang, Yanbing Liu |
| 2023 | SMC | Robust Malicious Domain Detection Against Adversarial Attacks on Heterogeneous Graph. | Yi Gao, Zhiping Li, Fangfang Yuan, Xiaoliang Zhang, Dakui Wang, Cong Cao, Yanbing Liu |
| 2022 | ICANN | Heterogeneous Graph Attention Network for Malicious Domain Detection. | Zhiping Li, Fangfang Yuan, Yanbing Liu, Cong Cao, Fang Fang, Jianlong Tan |
| 2022 | ICONIP | 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 |
| 2022 | ISPA | EPGraph: An Efficient Graph Computing Model in Persistent Memory System. | Baoke Li, Cong Cao, Fangfang Yuan, Yanbing Liu, Baohui Li, Binxing Fang |
| 2021 | ICONIP | Malicious Domain Detection on Imbalanced Data with Deep Reinforcement Learning. | Fangfang Yuan, Teng Tian, Yanmin Shang, Yuhai Lu, Yanbing Liu, Jianlong Tan |
| 2020 | ICTAI | Data Augmentation for Insider Threat Detection with GAN. | Fangfang Yuan, Yanmin Shang, Yanbing Liu, Yanan Cao, Jianlong Tan |
| 2018 | ICCS | Insider Threat Detection with Deep Neural Network. | Fangfang Yuan, Yanan Cao, Yanmin Shang, Yanbing Liu, Jianlong Tan, Binxing Fang |
| 2013 | SERVICES | Research of Intrusion Detection System on Android. | Fangfang Yuan, Lidong Zhai, Yanan Cao, Li Guo |
| 2011 | ICFEM | Managing Complexity through Abstraction: A Refinement-Based Approach to Formalize Instruction Set Architectures. | Fangfang Yuan, Stephen Wright, Kerstin Eder, David May |