Fangfang Yuan - RankMe

46 papers A* 2A 2B 7C 5Misc 1Journal 8Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CRAFT: Calibrated Reasoning with Answer-Faithful Traces via Reinforcement Learning for Multi-Hop Question Answering. CoRR Yu Liu, Wenxiao Zhang, Cong Cao, Fangfang Yuan, Weizhuo Chen, Cheng Hu, Pin Xu, Yuling Yang, Kun Peng, Diandian Guo, Qiang Sun, Yanbing Liu, Jin B. Hong, Zhiyuan Ma
2026	A*	`conf`	MuVaC: A Variational Causal Framework for Multimodal Sarcasm Understanding in Dialogues. WWW Diandian Guo, Fangfang Yuan, Cong Cao, Xixun Lin, Chuan Zhou, Hao Peng, Yanan Cao, Yanbing Liu
2026	J	`jnl`	MuVaC: AVariational Causal Framework for Multimodal Sarcasm Understanding in Dialogues. CoRR Diandian Guo, Fangfang Yuan, Cong Cao, Xixun Lin, Chuan Zhou, Hao Peng, Yanan Cao, Yanbing Liu
2026	A*	`conf`	OPERA: A Reinforcement Learning-Enhanced Orchestrated Planner-Executor Architecture for Reasoning-Oriented Multi-Hop Retrieval. AAAI Yu Liu, Yanbing Liu, Fangfang Yuan, Cong Cao, Youbang Sun, Kun Peng, Weizhuo Chen, Jianjun Li, Zhiyuan Ma
2026	J	`jnl`	PRISMA: Reinforcement Learning Guided Two-Stage Policy Optimization in Multi-Agent Architecture for Open-Domain Multi-Hop Question Answering. CoRR Yu Liu, Wenxiao Zhang, Cong Cao, Wenxuan Lu, Fangfang Yuan, Diandian Guo, Kun Peng, Qiang Sun, Kaiyan Zhang, Yanbing Liu, Jin B. Hong, Bowen Zhou, Zhiyuan Ma
2025	A	`conf`	CASD: Counterfactual Augmentation for Social Bot Detection on Twitter. ICME Pin Xu, Fangfang Yuan, Yueshan Wang, Diandian Guo, Cong Cao, Yanbing Liu
2025	—	`conf`	Context-Aware Heterogeneous Graph Interactive Learning for Document-Level Event Extraction. ADMA (2) Yang Liu, Fumin Guo, Cheng Hu, Fangfang Yuan, Cong Cao, Lei Zhang
2025	A	`conf`	Counterfactual-Augmented Representation Learning based Event Prediction. ICME Cheng Hu, Fangfang Yuan, Cong Cao, Pu Li, Guangjie Zeng, Yanbing Liu, Hao Peng, Philip S. Yu
2025	B	`conf`	Multi-View Incongruity Learning for Multimodal Sarcasm Detection. COLING Diandian Guo, Cong Cao, Fangfang Yuan, Yanbing Liu, Guangjie Zeng, Xiaoyan Yu, Hao Peng, Philip S. Yu
2025	J	`jnl`	OPERA: A Reinforcement Learning-Enhanced Orchestrated Planner-Executor Architecture for Reasoning-Oriented Multi-Hop Retrieval. CoRR Yu Liu, Yanbing Liu, Fangfang Yuan, Cong Cao, Youbang Sun, Kun Peng, Weizhuo Chen, Jianjun Li, Zhiyuan Ma
2025	Misc	`conf`	ReTD: Reconstruction-Based Traceability Detection for Generated Images. ICASSP Weizhuo Chen, Fangfang Yuan, Cong Cao, Kun Peng, Dakui Wang, Yanbing Liu
2025	—	`conf`	See Better, Say Better: Vision-Augmented Decoding for Mitigating Hallucinations in Large Vision-Language Models. NLPCC (1) Xinyi Sun, Diandian Guo, Cong Cao, Fangfang Yuan, Dakui Wang, Yanbing Liu
2024	J	`jnl`	Can Multimodal Large Language Model Think Analogically? CoRR Diandian Guo, Cong Cao, Fangfang Yuan, Dakui Wang, Wei Ma, Yanbing Liu, Jianhui Fu
2024	—	`conf`	Data-Efficient Knowledge Distillation with Teacher Assistant-Based Dynamic Objective Alignment. ICCS (1) Yangyan Xu, Cong Cao, Fangfang Yuan, Rongxin Mi, Dakui Wang, Yanbing Liu, Majing Su
2024	B	`conf`	Efficient One-Shot Pruning of Large Language Models with Low-Rank Approximation. SMC Yangyan Xu, Cong Cao, Fangfang Yuan, Rongxin Mi, Nannan Sun, Dakui Wang, Yanbing Liu
2024	B	`conf`	Enhancing GPT-3.5 for Knowledge-Based VQA with In-Context Prompt Learning and Image Captioning. SMC Yuling Yang, Cong Cao, Fangfang Yuan, Shuai Zeng, Dakui Wang, Yanbing Liu
2024	B	`conf`	Multi-Level Graph Convolutional Network for Document Information Extraction. ICTAI Liang Zhang, Peng Guo, Lin Dong, Fangfang Yuan, Dakui Wang, Cong Cao, Yanbing Liu
2024	J	`jnl`	Multi-View Incongruity Learning for Multimodal Sarcasm Detection. CoRR Diandian Guo, Cong Cao, Fangfang Yuan, Yanbing Liu, Guangjie Zeng, Xiaoyan Yu, Hao Peng, Philip S. Yu
2024	—	`conf`	Semi-supervised Malicious Domain Detection Based on Meta Pseudo Labeling. ICCS (2) Yi Gao, Fangfang Yuan, Jinglin Yang, Dakui Wang, Cong Cao, Yanbing Liu
2023	—	`conf`	A Contrastive Self-distillation BERT with Kernel Alignment-Based Inference. ICCS (1) Yangyan Xu, Fangfang Yuan, Cong Cao, Majing Su, Yuhai Lu, Yanbing Liu
2023	J	`jnl`	Consensus reaching with minimum adjustment and consistency management in group decision making with intuitionistic multiplicative preference relations. Expert Syst. Appl. Xiao-Yun Lu, Jiu-Ying Dong, Shu-Ping Wan, Fangfang Yuan
2023	C	`conf`	Curvature-Driven Knowledge Graph Embedding for Link Prediction. CSCWD Diandian Guo, Majing Su, Cong Cao, Fangfang Yuan, Xiaoliang Zhang, Yanbing Liu, Jianhui Fu
2023	—	`conf`	EDDVPL: A Web Attribute Extraction Method with Prompt Learning. ICONIP (14) Yuling Yang, Jiali Feng, Baoke Li, Fangfang Yuan, Cong Cao, Yanbing Liu
2023	C	`conf`	Few-shot Malicious Domain Detection on Heterogeneous Graph with Meta-learning. CSCWD Yi Gao, Fangfang Yuan, Cong Cao, Majing Su, Dakui Wang, Yanbing Liu
2023	—	`conf`	Malicious Domain Detection Based on Self-supervised HGNNs with Contrastive Learning. ICANN (3) Zhiping Li, Fangfang Yuan, Cong Cao, Majing Su, Yuhai Lu, Yanbing Liu
2023	C	`conf`	MetaBERT: Collaborative Meta-Learning for Accelerating BERT Inference. CSCWD Yangyan Xu, Fangfang Yuan, Cong Cao, Xiaoliang Zhang, Majing Su, Dakui Wang, Yanbing Liu
2023	—	`conf`	Mulan: A Multi-Level Alignment Model for Video Question Answering. EMNLP (Findings) Yu Fu, Cong Cao, Yuling Yang, Yuhai Lu, Fangfang Yuan, Dakui Wang, Yanbing Liu
2023	—	`conf`	NPGraph: An Efficient Graph Computing Model in NUMA-Based Persistent Memory Systems. CollaborateCom (2) Baoke Li, Cong Cao, Fangfang Yuan, Yuling Yang, Majing Su, Yanbing Liu, Jianhui Fu
2023	C	`conf`	RegexClassifier: A GNN-Based Recognition Method for State-Explosive Regular Expressions. ISCC Yuhai Lu, Xiaolin Wang, Fangfang Yuan, Cong Cao, Xiaoliang Zhang, Yanbing Liu
2023	B	`conf`	Robust Malicious Domain Detection Against Adversarial Attacks on Heterogeneous Graph. SMC Yi Gao, Zhiping Li, Fangfang Yuan, Xiaoliang Zhang, Dakui Wang, Cong Cao, Yanbing Liu
2023	—	`conf`	Self-supervised Deep Heterogeneous Graph Neural Networks with Contrastive Learning. ICCS (1) Zhiping Li, Fangfang Yuan, Cong Cao, Dakui Wang, Jiali Feng, Baoke Li, Yanbing Liu
2022	—	`conf`	DOM2R-Graph: A Web Attribute Extraction Architecture with Relation-Aware Heterogeneous Graph Transformer. ICONIP (1) Jiali Feng, Cong Cao, Fangfang Yuan, Xiaoliang Zhang, Zhiping Li, Yanbing Liu, Jianlong Tan
2022	—	`conf`	EPGraph: An Efficient Graph Computing Model in Persistent Memory System. ISPA/BDCloud/SocialCom/SustainCom Baoke Li, Cong Cao, Fangfang Yuan, Yanbing Liu, Baohui Li, Binxing Fang
2022	—	`conf`	Heterogeneous Graph Attention Network for Malicious Domain Detection. ICANN (2) Zhiping Li, Fangfang Yuan, Yanbing Liu, Cong Cao, Fang Fang, Jianlong Tan
2022	—	`conf`	Malicious Domain Detection with Heterogeneous Graph Propagation Network. WASA (1) Cheng Hu, Fangfang Yuan, Yanbing Liu, Cong Cao, Chunyan Zhang, Jianlong Tan
2021	—	`conf`	Malicious Domain Detection on Imbalanced Data with Deep Reinforcement Learning. ICONIP (4) Fangfang Yuan, Teng Tian, Yanmin Shang, Yuhai Lu, Yanbing Liu, Jianlong Tan
2020	B	`conf`	Data Augmentation for Insider Threat Detection with GAN. ICTAI Fangfang Yuan, Yanmin Shang, Yanbing Liu, Yanan Cao, Jianlong Tan
2019	—	`conf`	Attention-Based LSTM for Insider Threat Detection. ATIS Fangfang Yuan, Yanmin Shang, Yanbing Liu, Yanan Cao, Jianlong Tan
2018	—	`conf`	Insider Threat Detection with Deep Neural Network. ICCS (1) Fangfang Yuan, Yanan Cao, Yanmin Shang, Yanbing Liu, Jianlong Tan, Binxing Fang
2017	J	`jnl`	Extended VIKOR method for multiple criteria decision-making with linguistic hesitant fuzzy information. Comput. Ind. Eng. Jiuying Dong, Fangfang Yuan, Shuping Wan
2015	—	`conf`	A Utility Function Based Resource Allocation Method for LEO Satellite Constellation System. ICIC (1) Fangfang Yuan, Xingwei Wang, Fuliang Li, Min Huang
2013	—	`conf`	Hijacking Activity Technology Analysis and Research in Android System. ISCTCS Yunlong Ren, Yue Li, Fangfang Yuan, Fangjiao Zhang
2013	B	`conf`	Research of Intrusion Detection System on Android. SERVICES Fangfang Yuan, Lidong Zhai, Yanan Cao, Li Guo
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	—	`conf`	Research on Redundant Channel Model Based on Spatial Correlation in IOT. ISCTCS Fangjiao Zhang, Wei Guo, Jincui Yang, Fangfang Yuan, Lidong Zhai
2011	C	`conf`	Managing Complexity through Abstraction: A Refinement-Based Approach to Formalize Instruction Set Architectures. ICFEM Fangfang Yuan, Stephen Wright, Kerstin Eder, David May