Event recognition based on time series characteristics. - Fenghuan Li; Dequan Zheng; Tiejun Zhao (FSKD, 2011)

Impact Analysis of the Person in Topic Event Mining. - Fenghuan Li; Dequan Zheng; Tiejun Zhao (Aust. J. Intell. Inf. Process. Syst., 2014)

Self-adaptive statistical process control for anomaly detection in time series. - Dequan Zheng; Fenghuan Li; Tiejun Zhao (Expert Syst. Appl., 2016)

Corrigendum to "Self-adaptive statistical process control for anomaly detection in time series" [Expert Systems With Applications 57 (2016) 324-336]. - Dequan Zheng; Fenghuan Li; Tiejun Zhao (Expert Syst. Appl., 2016)

A novel approach for anomaly detection in data streams: Fuzzy-statistical detection mode. - Fenghuan Li; Dequan Zheng; Tiejun Zhao; Witold Pedrycz (J. Intell. Fuzzy Syst., 2016)

Tag-Driven Online Novel Recommendation with Collaborative Item Modeling. - Fenghuan Li; Zhaosheng Lin; Zhenyu Wang (Inf., 2018)

Automatic diagnosis of cardiac arrhythmia in electrocardiograms via multigranulation computing. - Fenghuan Li; Kehai Chen; Jie Ling 002; Yinwei Zhan; Gunasekaran Manogaran (Appl. Soft Comput., 2019)

Span-Based Pair-Wise Aspect and Opinion Term Joint Extraction with Contrastive Learning. - Jinjie Yang; Feipeng Dai; Fenghuan Li; Yun Xue (NLPCC (2), 2023)

RBA-GCN: Relational Bilevel Aggregation Graph Convolutional Network for Emotion Recognition. - Lin Yuan; Guoheng Huang; Fenghuan Li; Xiaochen Yuan; Chi-Man Pun; Guo Zhong (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Semantics-Aware Dual Graph Convolutional Networks for Argument Pair Extraction. - Minzhao Guan; Zhixun Qiu; Fenghuan Li; Yun Xue (LREC/COLING, 2024)

Representation and Granularity Joint Alignment Framework for Multimodal Sarcasm Detection on Social Media. - Jiapei Hu; Yifan Lyu; Yun Xue; Fenghuan Li; Qianhua Cai (DASFAA (7), 2024)

D2R: Dual-Branch Dynamic Routing Network for Multimodal Sentiment Detection. - Yifan Chen; Kuntao Li; Weixing Mai; Qiaofeng Wu; Yun Xue; Fenghuan Li (EMNLP, 2024)

Prompt-enhanced Network for Hateful Meme Classification. - Junxi Liu; Yanyan Feng; Jiehai Chen; Yun Xue; Fenghuan Li (IJCAI, 2024)

Heterogeneous Subgraph Network with Prompt Learning for Interpretable Depression Detection on Social Media. - Chen Chen; Mingwei Li; Fenghuan Li; Haopeng Chen; Yuankun Lin (CoRR, 2024)

Enhanced Syntactic and Semantic Graph Convolutional Network With Contrastive Learning for Aspect-Based Sentiment Analysis. - Minzhao Guan; Fenghuan Li; Yun Xue (IEEE Trans. Comput. Soc. Syst., 2024)

Dynamic Graph Construction Framework for Multimodal Named Entity Recognition in Social Media. - Weixing Mai; Zhengxuan Zhang; Kuntao Li; Yun Xue; Fenghuan Li (IEEE Trans. Comput. Soc. Syst., 2024)

Ambiguity-aware Multi-level Incongruity Fusion Network for Multi-Modal Sarcasm Detection. - Kuntao Li; Yifan Chen; Qiaofeng Wu; Weixing Mai; Fenghuan Li; Yun Xue (COLING, 2025)

SACR: Self-training with Saliency-Augmented Consistency Regularization for Few-Shot Learners. - Yanyan Feng; Yue Zhou 012; Yun Xue; Fenghuan Li; Zehong Lin (ICASSP, 2025)

ReHyGen: Relational hypergraph enhanced generative aspect sentiment triplet extraction. - Zehong Lin; Weibo Chen; Yun Xue; Fenghuan Li (Neurocomputing, 2025)

Dual-level adaptive incongruity-enhanced model for multimodal sarcasm detection. - Qiaofeng Wu; Wenlong Fang; Weiyu Zhong; Fenghuan Li; Yun Xue; Bo Chen 004 (Neurocomputing, 2025)

Semantic enhanced bi-syntactic graph convolutional network for aspect-based sentiment analysis. - Junyang Xiao; Yun Xue; Fenghuan Li (Inf. Sci., 2025)

Heterogeneous subgraph network with prompt learning for interpretable depression detection on social media. - Chen Chen; Fenghuan Li; Haopeng Chen; Yuankun Lin (Knowl. Based Syst., 2025)

Relevance-aware visual entity filter network for multimodal aspect-based sentiment analysis. - Yifan Chen; Haoliang Xiong; Kuntao Li; Weixing Mai; Yun Xue; Qianhua Cai; Fenghuan Li (Int. J. Mach. Learn. Cybern., 2025)

Knowledge-aware interaction networks for domain-adaptive end-to-end aspect-based sentiment analysis. - Benshuo Lin; Zehong Lin; Fenghuan Li; Zhuoming Liang; Zihao Lu; Yun Xue (Int. J. Mach. Learn. Cybern., 2025)