Yanbing Liu - RankMe

99 papers A* 8A 6B 11C 12Misc 1Journal 18Unranked 43

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`	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	A	`conf`	Dialogues Aspect-based Sentiment Quadruple Extraction via Structural Entropy Minimization Partitioning. CIKM Kun Peng, Cong Cao, Hao Peng, Zhifeng Hao, Lei Jiang, Kongjing Gu, Yanbing Liu, Philip S. Yu
2025	J	`jnl`	Dialogues Aspect-based Sentiment Quadruple Extraction via Structural Entropy Minimization Partitioning. CoRR Kun Peng, Cong Cao, Hao Peng, Zhifeng Hao, Lei Jiang, Kongjing Gu, Yanbing Liu, Philip S. Yu
2025	A*	`conf`	Emotion Transfer with Enhanced Prototype for Unseen Emotion Recognition in Conversation. EMNLP Kun Peng, Cong Cao, Hao Peng, Guanlin Wu, Zhifeng Hao, Lei Jiang, Yanbing Liu, Philip S. Yu
2025	J	`jnl`	Emotion Transfer with Enhanced Prototype for Unseen Emotion Recognition in Conversation. CoRR Kun Peng, Cong Cao, Hao Peng, Guanlin Wu, Zhifeng Hao, Lei Jiang, Yanbing Liu, Philip S. Yu
2025	—	`conf`	FairCDR: Transferring Fairness and User Preferences for Cross-Domain Recommendation. KDD (2) Yongxuan Wu, Yang Liu, Xixun Lin, Hong Zhou, Yanan Cao, Lixin Zou, Yanmin Shang, Yanbing Liu
2025	J	`jnl`	HaluNet: Multi-Granular Uncertainty Modeling for Efficient Hallucination Detection in LLM Question Answering. CoRR Chaodong Tong, Qi Zhang, Jiayang Gao, Lei Jiang, Yanbing Liu, Nannan Sun
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
2025	A*	`conf`	T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction. IJCAI Kun Peng, Chaodong Tong, Cong Cao, Hao Peng, Qian Li, Guanlin Wu, Lei Jiang, Yanbing Liu, Philip S. Yu
2025	J	`jnl`	T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction. CoRR Kun Peng, Chaodong Tong, Cong Cao, Hao Peng, Qian Li, Guanlin Wu, Lei Jiang, Yanbing Liu, Philip S. Yu
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	A	`conf`	RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis. WSDM Xusheng Zhao, Hao Peng, Qiong Dai, Xu Bai, Huailiang Peng, Yanbing Liu, Qinglang Guo, 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	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	J	`jnl`	RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis. CoRR Xusheng Zhao, Hao Peng, Qiong Dai, Xu Bai, Huailiang Peng, Yanbing Liu, Qinglang Guo, Philip S. Yu
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`	BV-CEI: A Compact Implementation of Interval Query Indexing Algorithm. BigDataSE Yuhai Lu, Chunyan Zhang, Cong Cao, Yanbing Liu, Jianlong Tan
2021	—	`conf`	D ISPA/BDCloud/SocialCom/SustainCom Baoke Li, Cong Cao, Yuhai Lu, Yanbing Liu, Baohui Li, Binxing Fang, Jianhui Fu
2021	—	`conf`	Deep Differential Amplifier for Extractive Summarization. ACL/IJCNLP (1) Ruipeng Jia, Yanan Cao, Fang Fang, Yuchen Zhou, Zheng Fang, Yanbing Liu, Shi Wang
2021	—	`conf`	Human-Like Storyteller: A Hierarchical Network with Gated Memory for Visual Storytelling. ICCS (2) Lu Zhang, Yawei Kong, Fang Fang, Cong Cao, Yanan Cao, Yanbing Liu, Can Ma
2021	C	`conf`	Knowledge-Based Diverse Feature Transformation for Few-Shot Relation Classification. KSEM Yubao Tang, Zhezhou Li, Cong Cao, Fang Fang, Yanan Cao, Yanbing Liu, Jianhui Fu
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
2021	J	`jnl`	RLINK: Deep reinforcement learning for user identity linkage. World Wide Web Xiaoxue Li, Yanan Cao, Qian Li, Yanmin Shang, Yangxi Li, Yanbing Liu, Guandong Xu
2020	B	`conf`	A Hybrid Paper Recommendation Method by Using Heterogeneous Graph and Metadata. IJCNN Hui Shi, Wei Ma, Xiaoliang Zhang, Junyan Jiang, Yanbing Liu, Shujuan Chen
2020	B	`conf`	Data Augmentation for Insider Threat Detection with GAN. ICTAI Fangfang Yuan, Yanmin Shang, Yanbing Liu, Yanan Cao, Jianlong Tan
2020	A	`conf`	DistilSum: : Distilling the Knowledge for Extractive Summarization. CIKM Ruipeng Jia, Yanan Cao, Haichao Shi, Fang Fang, Yanbing Liu, Jianlong Tan
2020	B	`conf`	Enhancing Pre-trained Language Representation for Multi-Task Learning of Scientific Summarization. IJCNN Ruipeng Jia, Yannan Cao, Fang Fang, Jinpeng Li, Yanbing Liu, Pengfei Yin
2020	B	`conf`	Enhancing Textual Representation for Abstractive Summarization: Leveraging Masked Decoder. IJCNN Ruipeng Jia, Yannan Cao, Fang Fang, Jinpeng Li, Yanbing Liu, Pengfei Yin
2020	A*	`conf`	High Quality Candidate Generation and Sequential Graph Attention Network for Entity Linking. WWW Zheng Fang, Yanan Cao, Ren Li, Zhenyu Zhang, Yanbing Liu, Shi Wang
2020	—	`conf`	Joint Entity Linking for Web Tables with Hybrid Semantic Matching. ICCS (2) Jie Xie, Yuhai Lu, Cong Cao, Zhenzhen Li, Yangyang Guan, Yanbing Liu
2020	J	`jnl`	Learning cross-modal correlations by exploring inter-word semantics and stacked co-attention. Pattern Recognit. Lett. Jing Yu, Yuhang Lu, Weifeng Zhang, Zengchang Qin, Yanbing Liu, Yue Hu
2020	A*	`conf`	Type-Aware Anchor Link Prediction across Heterogeneous Networks Based on Graph Attention Network. AAAI Xiaoxue Li, Yanmin Shang, Yanan Cao, Yangxi Li, Jianlong Tan, Yanbing Liu
2019	—	`conf`	2D-Convolution Based Feature Fusion for Cross-Modal Correlation Learning. ICCS (2) Jingjing Guo, Jing Yu, Yuhang Lu, Yue Hu, Yanbing Liu
2019	—	`conf`	A Memory-Efficient Multiple String Matching Algorithm Based on Charset Transformation. ATIS Yuhai Lu, Yanbing Liu, Gongxin Sun, Jianlong Tan
2019	—	`conf`	Attention-Based LSTM for Insider Threat Detection. ATIS Fangfang Yuan, Yanmin Shang, Yanbing Liu, Yanan Cao, Jianlong Tan
2019	B	`conf`	Combining Deep Neural Network with SVM to Identify Used in IOT. IWCMC Nguyen Nang An, Nguyen Quang Thanh, Yanbing Liu, Fei Wu
2019	A*	`conf`	Joint Entity Linking with Deep Reinforcement Learning. WWW Zheng Fang, Yanan Cao, Qian Li, Dongjie Zhang, Zhenyu Zhang, Yanbing Liu
2019	J	`jnl`	Joint Entity Linking with Deep Reinforcement Learning. CoRR Zheng Fang, Yanan Cao, Dongjie Zhang, Qian Li, Zhenyu Zhang, Yanbing Liu
2019	A	`conf`	PAAE: A Unified Framework for Predicting Anchor Links with Adversarial Embedding. ICME Yanmin Shang, Zhezhou Kang, Yanan Cao, Dongjie Zhang, Yang Li, Yangxi Li, Yanbing Liu
2019	J	`jnl`	RLINK: Deep Reinforcement Learning for User Identity Linkage. CoRR Xiaoxue Li, Yanan Cao, Yanmin Shang, Yangxi Li, Yanbing Liu, Jianlong Tan
2019	—	`conf`	UAFA: Unsupervised Attribute-Friendship Attention Framework for User Representation. KSEM (1) Yuchen Zhou, Yanmin Shang, Yaman Cao, Yanbing Liu, Jianlong Tan
2018	—	`conf`	A Data-Deduplication-Based Matching Mechanism for URL Filtering. ICC Yuhai Lu, Yanbing Liu, Chunyan Zhang, Jianlong Tan
2018	—	`conf`	A Sequence Transformation Model for Chinese Named Entity Recognition. KSEM (1) Qingyue Wang, Yanjing Song, Hao Liu, Yanan Cao, Yanbing Liu, Li Guo
2018	—	`conf`	Adversarial Reinforcement Learning for Chinese Text Summarization. ICCS (3) Hao Xu, Yanan Cao, Yanmin Shang, Yanbing Liu, Jianlong Tan, Li Guo
2018	—	`conf`	An Adversarial Training Framework for Relation Classification. ICCS (2) Wenpeng Liu, Yanan Cao, Cong Cao, Yanbing Liu, Yue Hu, Li Guo
2018	—	`conf`	Attention-Based RNN Model for Joint Extraction of Intent and Word Slot Based on a Tagging Strategy. ICANN (3) Dongjie Zhang, Zheng Fang, Yanan Cao, Yanbing Liu, Xiaojun Chen, Jianlong Tan
2018	—	`conf`	Column Concept Determination for Chinese Web Tables via Convolutional Neural Network. ICCS (3) Jie Xie, Cong Cao, Yanbing Liu, Yanan Cao, Baoke Li, Jianlong Tan
2018	—	`conf`	Fine-Grained Correlation Learning with Stacked Co-attention Networks for Cross-Modal Information Retrieval. KSEM (1) Yuhang Lu, Jing Yu, Yanbing Liu, Jianlong Tan, Li Guo, Weifeng Zhang
2018	—	`conf`	Hierarchical Attention Networks for User Profile Inference in Social Media Systems. ICANN (3) Zhezhou Kang, Xiaoxue Li, Yanan Cao, Yanmin Shang, Yanbing Liu, Li Guo
2018	—	`conf`	Insider Threat Detection with Deep Neural Network. ICCS (1) Fangfang Yuan, Yanan Cao, Yanmin Shang, Yanbing Liu, Jianlong Tan, Binxing Fang
2018	—	`conf`	Modeling Text with Graph Convolutional Network for Cross-Modal Information Retrieval. PCM (1) Jing Yu, Yuhang Lu, Zengchang Qin, Weifeng Zhang, Yanbing Liu, Jianlong Tan, Li Guo
2018	J	`jnl`	Modeling Text with Graph Convolutional Network for Cross-Modal Information Retrieval. CoRR Jing Yu, Yuhang Lu, Zengchang Qin, Yanbing Liu, Jianlong Tan, Li Guo, Weifeng Zhang
2018	—	`conf`	Reinforcement Learning for Joint Extraction of Entities and Relations. ICANN (2) Wenpeng Liu, Yanan Cao, Yanbing Liu, Yue Hu, Jianlong Tan
2018	B	`conf`	Sequence Generative Adversarial Network for Long Text Summarization. ICTAI Hao Xu, Yanan Cao, Ruipeng Jia, Yanbing Liu, Jianlong Tan
2018	J	`jnl`	Textual Relationship Modeling for Cross-Modal Information Retrieval. CoRR Jing Yu, Chenghao Yang, Zengchang Qin, Zhuoqian Yang, Yue Hu, Yanbing Liu
2017	—	`conf`	A co-training method for identifying the same person across social networks. GlobalSIP Zheng Fang, Yanan Cao, Yanbing Liu, Jianlong Tan, Li Guo, Yanmin Shang
2017	—	`conf`	Inferring Social Network User's Interest Based on Convolutional Neural Network. ICONIP (5) Yanan Cao, Shi Wang, Xiaoxue Li, Cong Cao, Yanbing Liu, Jianlong Tan
2017	C	`conf`	Inferring User Profiles in Online Social Networks Based on Convolutional Neural Network. KSEM Xiaoxue Li, Yanan Cao, Yanmin Shang, Yanbing Liu, Jianlong Tan, Li Guo
2017	C	`conf`	Multiple Pattern Graph Correlations for Efficient Graph Pattern Matching. AICCSA Jing Yu, Xiaomei Liu, Yanbing Liu, Yue Hu
2015	—	`conf`	VSEP: A Distributed Algorithm for Graph Edge Partitioning. ICA3PP (Workshops and Symposiums) Yu Zhang, Yanbing Liu, Jing Yu, Ping Liu, Li Guo
2014	—	`conf`	A factor-searching-based multiple string matching algorithm for intrusion detection. ICC Yanbing Liu, Qingyun Liu, Ping Liu, Jianlong Tan, Li Guo
2014	—	`conf`	Accelerating DFA Construction by Parallelizing Subset Construction. ISCTCS Yan Shao, Yanbing Liu, Jianlong Tan
2014	C	`conf`	Delta-K 2-tree for Compact Representation of Web Graphs. APWeb Yu Zhang, Gang Xiong, Yanbing Liu, Mengya Liu, Ping Liu, Li Guo
2014	—	`conf`	Latent Factor SVM for Text Categorization. ICDM Workshops Xiaofei Zhou, Li Guo, Ping Liu, Yanbing Liu
2012	A	`conf`	ClusterFA: a memory-efficient DFA structure for network intrusion detection. AsiaCCS Lei Jiang, Jianlong Tan, Yanbing Liu
2012	—	`conf`	Speeding Up Double-Array Trie Construction for String Matching. ISCTCS Shuai Niu, Yanbing Liu, Xinbo Song
2011	C	`conf`	Accelerating DFA Construction by Hierarchical Merging. ISPA Yanbing Liu, Li Guo, Muyi Guo, Ping Liu
2011	A*	`conf`	An efficient regular expressions compression algorithm from a new perspective. INFOCOM Tingwen Liu, Yifu Yang, Yanbing Liu, Yong Sun, Li Guo
2011	J	`jnl`	Revisiting Multiple Pattern Matching Algorithms for Multi-Core Architecture. J. Comput. Sci. Technol. Guangming Tan, Ping Liu, Dongbo Bu, Yanbing Liu
2010	C	`conf`	Compressing Regular Expressions' DFA Table by Matrix Decomposition. CIAA Yanbing Liu, Li Guo, Ping Liu, Jianlong Tan
2009	C	`conf`	A Table Compression Method for Extended Aho-Corasick Automaton. CIAA Yanbing Liu, Yifu Yang, Ping Liu, Jianlong Tan
2008	—	`conf`	Accelerating Multiple String Matching by Using Cache-Efficient Strategy. WAIM Jianlong Tan, Yanbing Liu, Ping Liu
2005	C	`conf`	A Partition-Based Efficient Algorithm for Large Scale Multiple-Strings Matching. SPIRE Ping Liu, Yanbing Liu, Jianlong Tan