Surface Reconstruction Technology from Dense Scattered Points Based on Grid. - Jianzhou Feng 002; Lingfu Kong; Xiaohuan Wang (HPCA (China), 2009)

A Fuzzy Multi-objective Genetic Algorithm for QoS-based Cloud Service Composition. - Jianzhou Feng 002; Lingfu Kong (SKG, 2015)

A Classification Model of Legal Consulting Questions Based on Multi-Attention Prototypical Networks. - Jianzhou Feng 002; Jinman Cui; Qikai Wei; Zhengji Zhou; Yuxiong Wang (Int. J. Comput. Intell. Syst., 2021)

Novel translation knowledge graph completion model based on 2D convolution. - Jianzhou Feng 002; Qikai Wei; Jinman Cui; Jing Chen (Appl. Intell., 2022)

An Embedding Model for Knowledge Graph Completion Based on Graph Sub-Hop Convolutional Network. - Haitao He; Haoran Niu; Jianzhou Feng 002; Junlan Nie; Yangsen Zhang; Jiadong Ren (Big Data Res., 2022)

A Prototype Network Enhanced Relation Semantic Representation for Few-shot Relation Extraction. - Haitao He; Haoran Niu; Jianzhou Feng 002; Qian Wang; Qikai Wei (Hum. Centric Intell. Syst., 2022)

Open Text Classification Based on Dynamic Boundary Balance. - Ganlin Xu; Jianzhou Feng 002; Qikai Wei (ADMA (3), 2023)

Two-Phase Semantic Retrieval for Explainable Multi-Hop Question Answering. - Qin Wang; Jianzhou Feng 002; Ganlin Xu; Lei Huang (ICONIP (2), 2023)

Prototypical networks relation classification model based on entity convolution. - Jianzhou Feng 002; Qikai Wei; Jinman Cui (Comput. Speech Lang., 2023)

Improving the robustness of machine reading comprehension via contrastive learning. - Jianzhou Feng 002; Jiawei Sun; Di Shao; Jinman Cui (Appl. Intell., 2023)

RepSum: A general abstractive summarization framework with dynamic word embedding representation correction. - Jianzhou Feng 002; Jing Long; Chunlong Han; Zhongcan Ren; Qin Wang (Comput. Speech Lang., 2023)

HTCSI: A Hierarchical Text Classification Method Based on Selection-Inference. - Yiming Xu; Jianzhou Feng 002; Chenghan Gu; Haonan Qin; Kehan Xu (NLPCC (2), 2024)

Integrating Hierarchical Semantic into Iterative Generation Model for Entailment Tree Explanation. - Qin Wang; Jianzhou Feng 002; Yiming Xu (CoRR, 2024)

CADLRA: A multi-charge prediction method based on the Criminal Act-Driven Law Retrieval Augmentation. - Jianzhou Feng 002; Lazhi Zhao; Haonan Qin; Yiming Xu; Ziqi Wang (Eng. Appl. Artif. Intell., 2024)

Focusing on differences! Sample framework enhances semantic textual similarity with external knowledge. - Jianzhou Feng 002; Junxin Liu; Chenghan Gu; Haotian Qi; Zhongcan Ren; Kehan Xu; Yuanzhuo Wang (Expert Syst. Appl., 2024)

Note the hierarchy: Taxonomy-guided prototype for few-shot named entity recognition. - Jianzhou Feng 002; Ganlin Xu; Qin Wang; Yuzhuo Yang; Lei Huang (Inf. Process. Manag., 2024)

Topic model for long document extractive summarization with sentence-level features and dynamic memory unit. - Chunlong Han; Jianzhou Feng 002; Haotian Qi (Expert Syst. Appl., 2024)

RMAF: A replay method based on active forgetting for continual learning. - Huaxiao Qiu; Jianzhou Feng 002; Lazhi Zhao; Chenghan Gu; Haoran Yu; Yuxuan Zhang; Ziqi Wang (Neurocomputing, 2025)

A soft-masking continual pre-training method based on domain knowledge relevance. - Lazhi Zhao; Jianzhou Feng 002; Huaxiao Qiu; Chenghan Gu; Haonan Qin (Inf. Process. Manag., 2025)

Balancing Learning Plasticity and Memory Stability: A parameter space strategy for class-incremental learning. - Jianzhou Feng 002; Huaxiao Qiu; Lazhi Zhao; Chenghan Gu; Haonan Qin; Yiming Xu (Neural Networks, 2025)

Retrieval In Decoder benefits generative models for explainable complex question answering. - Jianzhou Feng 002; Qin Wang; Huaxiao Qiu; Lirong Liu (Neural Networks, 2025)