Efficient Processing of the SkyEXP Query Over Big Data. - Zhenhua Huang 001; Chang Yu; Yong Tang 001; Yunwen Chen; Shuhua Zhang; Zhonghua Zheng (GSKI (1), 2017)

An Efficient Passenger-Hunting Recommendation Framework With Multitask Deep Learning. - Zhenhua Huang 001; Jinyi Tang; Guangxu Shan; Juan Ni; Yunwen Chen; Cheng Wang 001 (IEEE Internet Things J., 2019)

Deep Representation Learning for Location-Based Recommendation. - Zhenhua Huang 001; Xiaolong Lin; Hai Liu 006; Bo Zhang 004; Yunwen Chen; Yong Tang 001 (IEEE Trans. Comput. Soc. Syst., 2020)

Social Group Recommendation With TrAdaBoost. - Zhenhua Huang 001; Juan Ni; Juanjuan Yao; Xin Xu; Bo Zhang 004; Yunwen Chen; Naiyu Tan; Chao Xue (IEEE Trans. Comput. Soc. Syst., 2020)

Learning Term Embeddings for Lexical Taxonomies. - Jingping Liu; Menghui Wang; Chao Wang 095; Jiaqing Liang; Lihan Chen; Haiyun Jiang; Yanghua Xiao; Yunwen Chen (AAAI, 2021)

LVRT Control Strategy for Asymmetric Faults of DFIG Based on Improved MPCC Method. - Can Ding; Yunwen Chen; Taiping Nie (IEEE Access, 2021)

Context-aware Ensemble of Multifaceted Factorization Models for Recommendation Prediction in Social Networks. - Yunwen Chen; Zuotao Liu; Daqi Ji; Yingwei Xin; Wenguang Wang; Lu Yao; Yi Zou (CoRR, 2021)

Data Set and Evaluation of Automated Construction of Financial Knowledge Graph. - Wenguang Wang; Yonglin Xu; Chunhui Du; Yunwen Chen; Yijie Wang; Hui Wen (Data Intell., 2021)

An Exploration of Prompt-Based Zero-Shot Relation Extraction Method. - Jun Zhao 019; Yuan Hu; Nuo Xu; Tao Gui; Qi Zhang 001; Yunwen Chen; Xiang Gao 017 (CCL, 2022)

Abstains from Prediction: Towards Robust Relation Extraction in Real World. - Jun Zhao 019; Yongxin Zhang; Nuo Xu; Tao Gui; Qi Zhang 001; Yunwen Chen; Xiang Gao 017 (CCL, 2022)

FalCon: A Faithful Contrastive Framework for Response Generation in TableQA Systems. - Shineng Fang; Jiangjie Chen; Xinyao Shen; Yunwen Chen; Yanghua Xiao (DASFAA (3), 2022)

Modeling Uncertainty in Neural Relation Extraction. - Yu Hong; Yanghua Xiao; Wei Wang 009; Yunwen Chen (DASFAA (3), 2022)

Knowing What I Don't Know: A Generation Assisted Rejection Framework in Knowledge Base Question Answering. - Junyang Huang; Xuantao Lu; Jiaqing Liang; Qiaoben Bao; Chen Huang; Yanghua Xiao; Bang Liu; Yunwen Chen (DASFAA (3), 2022)

Semantic-Based Data Augmentation for Math Word Problems. - Ailisi Li; Yanghua Xiao; Jiaqing Liang; Yunwen Chen (DASFAA (3), 2022)

VoCSK: Verb-oriented commonsense knowledge mining with taxonomy-guided induction. - Jingping Liu; Tao Chen 019; Chao Wang 095; Jiaqing Liang; Lihan Chen; Yanghua Xiao; Yunwen Chen; Ke Jin (Artif. Intell., 2022)

COKG-QA: Multi-hop Question Answering over COVID-19 Knowledge Graphs. - Huifang Du; Zhongwen Le; Haofen Wang; Yunwen Chen; Jing Yu (Data Intell., 2022)

A two-phase knowledge distillation model for graph convolutional network-based recommendation. - Zhenhua Huang 001; Zuorui Lin; Zheng Gong; Yunwen Chen; Yong Tang 001 (Int. J. Intell. Syst., 2022)

A graph neural network-based node classification model on class-imbalanced graph data. - Zhenhua Huang 001; Yinhao Tang; Yunwen Chen (Knowl. Based Syst., 2022)

Feature Map Distillation of Thin Nets for Low-Resolution Object Recognition. - Zhenhua Huang 001; Shunzhi Yang; MengChu Zhou; Zhetao Li; Zheng Gong; Yunwen Chen (IEEE Trans. Image Process., 2022)

A Novel Group Recommendation Model With Two-Stage Deep Learning. - Zhenhua Huang 001; Yajun Liu; Choujun Zhan; Chen Lin 001; Weiwei Cai; Yunwen Chen (IEEE Trans. Syst. Man Cybern. Syst., 2022)

HAUSER: Towards Holistic and Automatic Evaluation of Simile Generation. - Qianyu He; Yikai Zhang 004; Jiaqing Liang; Yuncheng Huang; Yanghua Xiao; Yunwen Chen (ACL (1), 2023)

Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model. - Xiao Wang; Weikang Zhou; Qi Zhang 001; Jie Zhou; Songyang Gao; Junzhe Wang; Menghan Zhang; Xiang Gao 017; Yunwen Chen; Tao Gui (ACL (Findings), 2023)

Can Pre-trained Language Models Understand Chinese Humor? - Yuyan Chen; Zhixu Li; Jiaqing Liang; Yanghua Xiao; Bang Liu; Yunwen Chen (WSDM, 2023)

Research on Control Strategy of Solid State Transformer Based on Improved MPC Method. - Can Ding; Hongrong Zhang; Yunwen Chen; Guang Pu (IEEE Access, 2023)

Open Set Relation Extraction via Unknown-Aware Training. - Jun Zhao 019; Xin Zhao; WenYu Zhan; Qi Zhang 001; Tao Gui; Zhongyu Wei; Yunwen Chen; Xiang Gao 017; Xuanjing Huang 001 (CoRR, 2023)

A multi-graph neural group recommendation model with meta-learning and multi-teacher distillation. - Weizhen Zhou; Zhenhua Huang 001; Cheng Wang 001; Yunwen Chen (Knowl. Based Syst., 2023)

A Lightweight Block With Information Flow Enhancement for Convolutional Neural Networks. - Zhiqiang Bao; Shunzhi Yang; Zhenhua Huang 001; MengChu Zhou; Yunwen Chen (IEEE Trans. Circuits Syst. Video Technol., 2023)

A contrastive framework for enhancing Knowledge Graph Question Answering: Alleviating exposure bias. - Huifang Du; Xixie Zhang; Meng Wang 009; Yunwen Chen; Daqi Ji; Jun Ma 036; Haofen Wang (Knowl. Based Syst., 2023)

Beyond Entities: A Large-Scale Multi-Modal Knowledge Graph with Triplet Fact Grounding. - Jingping Liu; Mingchuan Zhang; Weichen Li; Chao Wang 095; Shuang Li; Haiyun Jiang; Sihang Jiang; Yanghua Xiao; Yunwen Chen (AAAI, 2024)

Enhancing Quantitative Reasoning Skills of Large Language Models through Dimension Perception. - Yuncheng Huang; Qianyu He; Jiaqing Liang; Sihang Jiang; Yanghua Xiao; Yunwen Chen (ICDE, 2024)

GACRec: Generative adversarial contrastive learning for improved long-tail item recommendation. - Bingjun Qin; Zhenhua Huang; Xing Tian; Yunwen Chen; Wenguang Wang (Knowl. Based Syst., 2024)

Teacher-student complementary sample contrastive distillation. - Zhiqiang Bao; Zhenhua Huang; Jianping Gou; Lan Du 002; Kang Liu 022; Jingtao Zhou; Yunwen Chen (Neural Networks, 2024)

A Multi-Level Relation-Aware Transformer model for occluded person re-identification. - Guorong Lin; Zhiqiang Bao; Zhenhua Huang 001; Zuoyong Li; Weishi Zheng 001; Yunwen Chen (Neural Networks, 2024)

Post-Distillation via Neural Resuscitation. - Zhiqiang Bao; Zihao Chen; Chang-Dong Wang 001; Wei-Shi Zheng 001; Zhenhua Huang 001; Yunwen Chen (IEEE Trans. Multim., 2024)

QBER: Quantum-based Entropic Representations for un-attributed graphs. - Lixin Cui; Ming Li 065; Lu Bai 001; Yue Wang 014; Jing Li 040; Yanchao Wang; Zhao Li 007; Yunwen Chen; Edwin R. Hancock (Pattern Recognit., 2024)

Modeling Group Opinion Evolution on Online Social Networks: A Gravitational Field Perspective. - Meizi Li; Xinyi Zhang 006; Maozhen Li 001; Yunwen Chen; Yanhong Bai; Bo Zhang 004; Ru Yang (IEEE Trans. Comput. Soc. Syst., 2024)

Improving Knowledge Distillation via Head and Tail Categories. - Liuchi Xu; Jin Ren 001; Zhenhua Huang 001; Wei-Shi Zheng 001; Yunwen Chen (IEEE Trans. Circuits Syst. Video Technol., 2024)

MetaGA: Metalearning With Graph-Attention for Improved Long-Tail Item Recommendation. - Bingjun Qin; Zhenhua Huang 001; Zhengyang Wu 001; Cheng Wang 001; Yunwen Chen (IEEE Trans. Comput. Soc. Syst., 2024)

Cross-domain recommendation via knowledge distillation. - Xiuze Li; Zhenhua Huang 001; Zhengyang Wu 001; Chang-Dong Wang 001; Yunwen Chen (Knowl. Based Syst., 2025)

Dominant preference decoupling and guided perturbed preference injection for cross-domain sequence recommendation. - Xiuze Li; Zhenhua Huang 001; Changdong Wang 001; Yunwen Chen (Neural Networks, 2025)

Experimental study on square RC short columns strengthened with corrugated steel jacket under axial compression. - Fan Yang; Ligui Yang; Yuyin Wang; Yong Fan 001; Shuangshuang Jin; Yunwen Chen; Qilong Xia (CoRR, 2025)

FedGR: Cross-platform federated group recommendation system with hypergraph neural networks. - Junlong Zeng; Zhenhua Huang 001; Zhengyang Wu 001; Zonggan Chen; Yunwen Chen (J. Intell. Inf. Syst., 2025)

Fine-Grained Learning Behavior-Oriented Knowledge Distillation for Graph Neural Networks. - Kang Liu 002; Zhenhua Huang 001; Chang-Dong Wang 001; Beibei Gao; Yunwen Chen (IEEE Trans. Neural Networks Learn. Syst., 2025)