REC: A Novel Model to Rank Experts in Communities. - Chen Lin 001; Haofeng Zhou; Zhenhua Huang 001; Wei Wang 009 (WAIM, 2008)

A novel capacity and trust based service selection mechanism for collaborative decision making in CPS. - Bo Zhang 004; Yang Xiang 006; Peng Wang; Zhenhua Huang 001 (Comput. Sci. Inf. Syst., 2011)

A clustering based approach for skyline diversity. - Zhenhua Huang 001; Yang Xiang 006; Bo Zhang 004; Xiaoling Liu (Expert Syst. Appl., 2011)

PRemiSE: personalized news recommendation via implicit social experts. - Chen Lin 001; Runquan Xie; Lei Li 001; Zhenhua Huang 001; Tao Li 001 (CIKM, 2012)

Identify content quality in online social networks. - Chen Lin 001; Zhenhua Huang 001; Fan Yang 010; Quan Zou 001 (IET Commun., 2012)

A novel multiple-level trust management framework for wireless sensor networks. - Bo Zhang 004; Zhenhua Huang 001; Yang Xiang 006 (Comput. Networks, 2014)

Trust computation for multiple routes recommendation in social network sites. - Bo Zhang 004; Zhenhua Huang 001; Jian Yu; Yang Xiang 006 (Secur. Commun. Networks, 2014)

A Sentiment Delivering Estimate Scheme Based on Trust Chain in Mobile Social Network. - Meizi Li; Yang Xiang 006; Bo Zhang 004; Zhenhua Huang 001 (Mob. Inf. Syst., 2015)

Key Properties of Connectivity in Vehicle Ad-hoc Network. - Jiujun Cheng; Pengyu Qin; MengChu Zhou; Zhenhua Huang 001; Shangce Gao (IDCS, 2016)

A trust evaluation scheme for complex links in a social network: a link strength perspective. - Meizi Li; Yang Xiang 006; Bo Zhang 004; Zhenhua Huang 001; Jiawen Zhang 003 (Appl. Intell., 2016)

Pairwise learning to recommend with both users' and items' contextual information. - Zhenhua Huang 001; Shijia E; Jiawen Zhang 003; Bo Zhang 004; Zilian Ji (IET Commun., 2016)

A novel community influence evaluation scheme based on information propagation in social network. - Bo Zhang 004; Qianqian Song; Ruxiang Peng; Zhenhua Huang 001; Qian Xu (Int. J. Comput. Sci. Math., 2016)

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)

Research on Properties of Nodes Distribution on Internet of Vehicles. - Jiujun Cheng; Zheng Shang; Hao Mi; Cheng Cheng; Zhenhua Huang 001 (ICA3PP, 2017)

PRACE: A Taxi Recommender for Finding Passengers with Deep Learning Approaches. - Zhenhua Huang 001; Zhenqi Zhao; Shijia E; Chang Yu; Guangxu Shan; Tienan Li; Jiujun Cheng; Jian Sun 010; Yang Xiang 006 (ICIC (3), 2017)

Skyline recommendation in distributed networks. - Zhenhua Huang 001; Jiawen Zhang 003; Zheng Liu; Bo Zhang 004; Dong Wang (Int. Arab J. Inf. Technol., 2017)

UIContextListRank: A Listwise Recommendation Model with Social Contextual Information. - Zhenhua Huang 001; Chang Yu; Jiujun Cheng; Zhixiao Wang (APWeb/WAIM (1), 2018)

A Two-Level Attentive Pooling Based Hybrid Network for Question Answer Matching Task. - Zhenhua Huang 001; Guangxu Shan; Jiujun Cheng; Juan Ni (DEXA (2), 2018)

Connectivity Modeling and Analysis for Internet of Vehicles in Urban Road Scene. - Jiujun Cheng; Hao Mi; Zhenhua Huang 001; Shangce Gao; Di Zang; Cong Liu 012 (IEEE Access, 2018)

A multi-criteria detection scheme of collusive fraud organization for reputation aggregation in social networks. - Bo Zhang 004; Qian Zhang 034; Zhenhua Huang 001; Meizi Li; Luqun Li (Future Gener. Comput. Syst., 2018)

Research on the Prediction-Based Clustering Method in the Community of Medical Vehicles for Connected Health. - Jiujun Cheng; Qi Ma; Runshen Yu; Chunmei Liu; Ding Cheng; Shangce Gao; Zhenhua Huang 001 (IEEE Access, 2019)

An Efficient Hybrid Recommendation Model With Deep Neural Networks. - Zhenhua Huang 001; Chang Yu; Juan Ni; Hai Liu 006; Chun Zeng; Yong Tang 001 (IEEE Access, 2019)

EdgeCNN: Convolutional Neural Network Classification Model with small inputs for Edge Computing. - Shunzhi Yang; Zheng Gong; Kai Ye; Yungen Wei; Zheng Huang; Zhenhua Huang 001 (CoRR, 2019)

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)

Multimodal Representation Learning for Recommendation in Internet of Things. - Zhenhua Huang 001; Xin Xu; Juan Ni; Honghao Zhu; Cheng Wang 001 (IEEE Internet Things J., 2019)

TRec: an efficient recommendation system for hunting passengers with deep neural networks. - Zhenhua Huang 001; Guangxu Shan; Jiujun Cheng; Jian Sun 010 (Neural Comput. Appl., 2019)

A Novel Method for Detecting New Overlapping Community in Complex Evolving Networks. - Jiujun Cheng; Xiao Wu; Mengchu Zhou; Shangce Gao; Zhenhua Huang 001; Cong Liu 012 (IEEE Trans. Syst. Man Cybern. Syst., 2019)

EdgeRNN: A Compact Speech Recognition Network With Spatio-Temporal Features for Edge Computing. - Shunzhi Yang; Zheng Gong; Kai Ye; Yungen Wei; Zhenhua Huang 001; Zheng Huang (IEEE Access, 2020)

A Connectivity-Prediction-Based Dynamic Clustering Model for VANET in an Urban Scene. - Jiujun Cheng; Guiyuan Yuan; MengChu Zhou; Shangce Gao; Zhenhua Huang 001; Cong Liu 012 (IEEE Internet Things J., 2020)

Analysis of collective action propagation with multiple recurrences. - Choujun Zhan; Fujian Wu; Zhenhua Huang 001; Wei Jiang 006; Qizhi Zhang (Neural Comput. Appl., 2020)

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)

An Efficient Group Recommendation Model With Multiattention-Based Neural Networks. - Zhenhua Huang 001; Xin Xu; Honghao Zhu; MengChu Zhou (IEEE Trans. Neural Networks Learn. Syst., 2020)

Accessibility for VANET in an Urban Scene. - Jiujun Cheng; Lu Yang 019; Guangtao Zhou; Hongjiang Zheng; Shuai Feng; Jie Cui 004; Zhenhua Huang 001 (ICNSC, 2021)

An effective recommendation model based on deep representation learning. - Juan Ni; Zhenhua Huang 001; Jiujun Cheng; Shangce Gao (Inf. Sci., 2021)

Preserve Integrity in Realtime Event Summarization. - Chen Lin 001; Zhichao Ouyang; Xiaoli Wang 002; Hui Li 057; Zhenhua Huang 001 (ACM Trans. Knowl. Discov. Data, 2021)

Lightweight Unbiased Multi-teacher Ensemble for Review-based Recommendation. - Guipeng Xv; Xinyi Liu; Chen Lin 001; Hui Li 057; Chenliang Li; Zhenhua Huang 001 (CIKM, 2022)

Making accurate object detection at the edge: review and new approach. - Zhenhua Huang 001; Shunzhi Yang; MengChu Zhou; Zheng Gong; Abdullah Abusorrah; Chen Lin 001; Zheng Huang (Artif. Intell. Rev., 2022)

GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations. - Ziheng Chen 002; Fabrizio Silvestri; Jia Wang 009; Yongfeng Zhang; Zhenhua Huang 001; Hongshik Ahn; Gabriele Tolomei (CoRR, 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 context-enhanced sentence representation learning method for close domains with topic modeling. - Shuangyin Li; Weiwei Chen; Yu Zhang 006; Gansen Zhao; Rong Pan; Zhenhua Huang 001; Yong Tang 001 (Inf. Sci., 2022)

A two-stage embedding model for recommendation with multimodal auxiliary information. - Juan Ni; Zhenhua Huang 001; Yang Hu; Chen Lin 001 (Inf. Sci., 2022)

A Bi-level representation learning model for medical visual question answering. - Yong Li; Shaopei Long; Zhenguo Yang; Heng Weng; Kun Zeng; Zhenhua Huang 001; Fu Lee Wang; Tianyong Hao (J. Biomed. Informatics, 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)

A Side Chain Consensus-Based Decentralized Autonomous Vehicle Group Formation and Maintenance Method in a Highway Scene. - Jiujun Cheng; Guowang Xu; Guiyuan Yuan; Lu Yang 019; Zhenhua Huang 001; Chenxi Huang 001; Victor Hugo C. de Albuquerque (IEEE Trans. Ind. Informatics, 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)

Comparative Convolutional Dynamic Multi-Attention Recommendation Model. - Juan Ni; Zhenhua Huang 001; Chang Yu; Dongdong Lv; Cheng Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 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)

Meta Learning Framework for Improved Long-tail Item Recommendation. - Bingjun Qin; Zhenhua Huang 001; Guibing Guo (ICSAI, 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)

Skill-Transferring Knowledge Distillation Method. - Shunzhi Yang; Liuchi Xu; Mengchu Zhou; Xiong Yang; Jinfeng Yang; Zhenhua Huang 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

MGCRL: Multi-view graph convolution and multi-agent reinforcement learning for dialogue state tracking. - Zhenhua Huang 001; Fancong Li; Juanjuan Yao; Zonggan Chen (Neural Comput. Appl., 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)

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)

Learning From Human Educational Wisdom: A Student-Centered Knowledge Distillation Method. - Shunzhi Yang; Jinfeng Yang; MengChu Zhou; Zhenhua Huang 001; Wei-Shi Zheng 001; Xiong Yang; Jin Ren 001 (IEEE Trans. Pattern Anal. Mach. Intell., 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)

Debiased Distillation for Consistency Regularization. - Lu Wang; Liuchi Xu; Xiong Yang; Zhenhua Huang 001; Jun Cheng 003 (AAAI, 2025)

Adaptive Temperature Distillation method for mining hard samples' knowledge. - Shunzhi Yang; Xiong Yang; Jin Ren 001; Liuchi Xu; Jinfeng Yang; Zhenhua Huang 001; Zheng Gong; Wenguang Wang (Neurocomputing, 2025)

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)

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)

A Flight Process Importance Framework for Evaluating Pilot Performance During Airplane Landing. - Xiong Yang; Shunzhi Yang; MengChu Zhou; Jin Ren 001; Zhenhua Huang 001; Jinfeng Yang (IEEE Trans. Intell. Transp. Syst., 2025)