Zhong Ming

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 283

Top Venues

Publications

Shu Chen, Zitao Xu, Weike Pan, Qiang Yang, Zhong Ming
A Survey on Cross-Domain Sequential Recommendation. CoRR (2024)
Zhaohao Lin, Weike Pan, Zhong Ming
Privacy-Preserving Cross-Domain Sequential Recommendation. CoRR (2024)
Weixin Li, Yuhao Wu, Yang Liu, Weike Pan, Zhong Ming
BMLP: behavior-aware MLP for heterogeneous sequential recommendation. Frontiers Comput. Sci. 18 (3) (2024)
Laizhong Cui, Ziteng Chen, Shu Yang, Ruiyu Chen, Zhong Ming
A Secure and Decentralized DLaaS Platform for Edge Resource Scheduling Against Adversarial Attacks. IEEE Trans. Computers 73 (3) (2024)
Xianxu Hou, Linlin Shen, Zhong Ming, Guoping Qiu
Deep generative image priors for semantic face manipulation. Pattern Recognit. 139 (2023)
Guowei Wu, Weike Pan, Zhong Ming
GNN4FR: A Lossless GNN-based Federated Recommendation Framework. CoRR (2023)
Pengqing Hu, Zhaohao Lin, Weike Pan, Qiang Yang, Xiaogang Peng, Zhong Ming
Privacy-preserving graph convolution network for federated item recommendation. Artif. Intell. 324 (2023)
Jing Lin, Mingkai He, Weike Pan, Zhong Ming
Collaborative filtering with sequential implicit feedback via learning users' preferences over item-sets. Inf. Sci. 621 (2023)
Haigang Zhang, Xianglong Meng, Weipeng Cao, Ye Liu, Zhong Ming, Jinfeng Yang
Graph embedding based multi-label Zero-shot Learning. Neural Networks 167 (2023)
Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Zhong Ming
Prior-Guided Accuracy-Bias Tradeoff Learning for CTR Prediction in Multimedia Recommendation. ACM Multimedia (2023)
Zhiwu Xu, Yazheng Liu, Shengchao Qin, Zhong Ming
Output Range Analysis for Feed-Forward Deep Neural Networks via Linear Programming. IEEE Trans. Reliab. 72 (3) (2023)
Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Weike Pan, Zhong Ming
Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation. CoRR (2023)
Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
Debiased Representation Learning in Recommendation via Information Bottleneck. Trans. Recomm. Syst. 1 (1) (2023)
Zinan Lin, Dugang Liu, Weike Pan, Qiang Yang, Zhong Ming
Transfer learning for collaborative recommendation with biased and unbiased data. Artif. Intell. 324 (2023)
Yan Liu, Ying He, Zhong Ming, F. Richard Yu
A Dynamic Selective Parameter Sharing Mechanism Embedded with Multi-Level Reasoning Abstractions. ECAI (2023)
Yongfeng Li, Lingjie Li, Huimei Tang, Qiuzhen Lin, Zhong Ming, Victor C. M. Leung
Redefined decision variable analysis method for large-scale optimization and its application to feature selection. Swarm Evol. Comput. 82 (2023)
Junchuang Cai, Qingling Zhu, Qiuzhen Lin, Lijia Ma, Jianqiang Li, Zhong Ming
A survey of dynamic pickup and delivery problems. Neurocomputing 554 (2023)
Yuze Zhang, Lingjie Li, Zhijiao Xiao, Qiuzhen Lin, Zhong Ming
A Diversified Multi-objective Particle Swarm Optimization Algorithm for Unsupervised Band Selection of Hyperspectral Images. ICSI (1) (2023)
Wenhong Wei, Manlin Xuan, Lingjie Li, Qiuzhen Lin, Zhong Ming, Carlos A. Coello Coello
Multiobjective optimization algorithm with dynamic operator selection for feature selection in high-dimensional classification. Appl. Soft Comput. 143 (2023)
Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming
Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset. ACM Trans. Inf. Syst. 41 (4) (2023)
Lingjie Li, Manlin Xuan, Qiuzhen Lin, Min Jiang, Zhong Ming, Kay Chen Tan
An Evolutionary Multitasking Algorithm With Multiple Filtering for High-Dimensional Feature Selection. IEEE Trans. Evol. Comput. 27 (4) (2023)
Zhaohao Lin, Weike Pan, Qiang Yang, Zhong Ming
A Generic Federated Recommendation Framework via Fake Marks and Secret Sharing. ACM Trans. Inf. Syst. 41 (2) (2023)
Xianxu Hou, Xiaokang Zhang, Hanbang Liang, Linlin Shen, Zhong Ming
Lifelong Age Transformation With a Deep Generative Prior. IEEE Trans. Multim. 25 (2023)
Qianzhen Rao, Yang Liu, Weike Pan, Zhong Ming
BVAE: Behavior-aware Variational Autoencoder for Multi-Behavior Multi-Task Recommendation. RecSys (2023)
Lingjie Li, Qiuzhen Lin, Zhong Ming, Ka-Chun Wong, Maoguo Gong, Carlos A. Coello Coello
An Immune-Inspired Resource Allocation Strategy for Many-Objective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53 (6) (2023)
Zhaohao Lin, Weike Pan, Zhong Ming
Privacy-Preserving Cross-Domain Sequential Recommendation. ICDM (2023)
Xiaofei Zhou, Weipeng Cao, Hanxiao Gao, Zhong Ming, Jiyong Zhang
STI-Net: Spatiotemporal integration network for video saliency detection. Inf. Sci. 628 (2023)
Yuchao Su, Qiuzhen Lin, Zhong Ming, Kay Chen Tan
Adapting Decomposed Directions for Evolutionary Multiobjective Optimization. IEEE Trans. Cybern. 53 (10) (2023)
Dugang Liu, Pengxiang Cheng, Hong Zhu, Xing Tang, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data. WWW (2023)
Xiaoqing Chen, Zhitao Li, Weike Pan, Zhong Ming
A Survey on Multi-Behavior Sequential Recommendation. CoRR (2023)
Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Weike Pan, Zhong Ming
Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation. DASFAA (4) (2023)
Hengzhi Li, Shubin Cai, Zhong Ming
Legal Judgment Prediction Incorporating Guiding Cases Matching. NLPCC (1) (2023)
Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming
Bounding System-Induced Biases in Recommender Systems with A Randomized Dataset. CoRR (2023)
Bingsen Huang, Jinwei Luo, Weihao Du, Weike Pan, Zhong Ming
Cascaded Cross Attention for Review-based Sequential Recommendation. ICDM (2023)
Dugang Liu, Pengxiang Cheng, Zinan Lin, Jinwei Luo, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
KDCRec: Knowledge Distillation for Counterfactual Recommendation via Uniform Data. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Jinwei Luo, Mingkai He, Weike Pan, Zhong Ming
BGNN: Behavior-aware graph neural network for heterogeneous session-based recommendation. Frontiers Comput. Sci. 17 (5) (2023)
Qingling Zhu, Xiaoqiang Wu, Qiuzhen Lin, Lijia Ma, Jianqiang Li, Zhong Ming, Jianyong Chen
A survey on Evolutionary Reinforcement Learning algorithms. Neurocomputing 556 (2023)
Dugang Liu, Yuhao Wu, Weixin Li, Xiaolian Zhang, Hao Wang, Qinjuan Yang, Zhong Ming
Pairwise Intent Graph Embedding Learning for Context-Aware Recommendation. RecSys (2023)
Longquan Chen, Ying He, Weike Pan, F. Richard Yu, Zhong Ming
A Novel Generalized Meta Hierarchical Reinforcement Learning Method for Autonomous Vehicles. IEEE Netw. 37 (4) (2023)
Yinghui Pan, Biyang Ma, Yifeng Zeng, Jing Tang, Buxin Zeng, Zhong Ming
An Evolutionary Framework for Modelling Unknown Behaviours of Other Agents. IEEE Trans. Emerg. Top. Comput. Intell. 7 (4) (2023)
Zitao Xu, Weike Pan, Zhong Ming
A Multi-view Graph Contrastive Learning Framework for Cross-Domain Sequential Recommendation. RecSys (2023)
Mingkai He, Jing Lin, Jinwei Luo, Weike Pan, Zhong Ming
FLAG: A Feedback-aware Local and Global Model for Heterogeneous Sequential Recommendation. ACM Trans. Intell. Syst. Technol. 14 (1) (2023)
Songbai Liu, Qiuzhen Lin, Ka-Chun Wong, Carlos A. Coello Coello, Jianqiang Li, Zhong Ming, Jun Zhang
A Self-Guided Reference Vector Strategy for Many-Objective Optimization. IEEE Trans. Cybern. 52 (2) (2022)
Zhong Ming, Lijun Zhang, Shengchao Qin
Preface to Special Issue on Analysis and Verification of Intelligent Systems. Int. J. Softw. Informatics 12 (4) (2022)
Rian He, Shubin Cai, Zhong Ming, Jialei Zhang
Weighted self Distillation for Chinese word segmentation. ACL (Findings) (2022)
Lin Li, Weike Pan, Guanliang Chen, Zhong Ming
DeepSet: Deep Learning-based Recommendation with Setwise Preference. IJCNN (2022)
Lingjie Li, Manlin Xuan, Qiuzhen Lin, Min Jiang, Zhong Ming, Kay Chen Tan
An Evolutionary Multitasking Algorithm with Multiple Filtering for High-Dimensional Feature Selection. CoRR (2022)
Shen Zhuang, Chengxi Gao, Ying He, F. Richard Yu, Yuhang Wang, Weike Pan, Zhong Ming
$Q_{C}-DQN$: A Novel Constrained Reinforcement Learning Method for Computation Offloading in Multi-access Edge Computing. IJCNN (2022)
Ying He, Haiyan Wang, Yuan Li, Ke Huang, Victor C. M. Leung, F. Richard Yu, Zhong Ming
An Efficient Ciphertext-Policy Attribute-Based Encryption Scheme Supporting Collaborative Decryption With Blockchain. IEEE Internet Things J. 9 (4) (2022)
Jiaxiang Liu, Yunhan Xing, Xiaomu Shi, Fu Song, Zhiwu Xu, Zhong Ming
Abstraction and Refinement: Towards Scalable and Exact Verification of Neural Networks. CoRR (2022)
Pengqing Hu, Enyue Yang, Weike Pan, Xiaogang Peng, Zhong Ming
Federated one-class collaborative filtering via privacy-aware non-sampling matrix factorization. Knowl. Based Syst. 253 (2022)
Dugang Liu, Mingkai He, Jinwei Luo, Jiangxu Lin, Meng Wang, Xiaolian Zhang, Weike Pan, Zhong Ming
User-Event Graph Embedding Learning for Context-Aware Recommendation. KDD (2022)
Weixin Chen, Mingkai He, Yongxin Ni, Weike Pan, Li Chen, Zhong Ming
Global and Personalized Graphs for Heterogeneous Sequential Recommendation by Learning Behavior Transitions and User Intentions. RecSys (2022)
Longquan Chen, Ying He, Qiang Wang, Weike Pan, Zhong Ming
Joint Optimization of Sensing, Decision-Making and Motion-Controlling for Autonomous Vehicles: A Deep Reinforcement Learning Approach. IEEE Trans. Veh. Technol. 71 (5) (2022)
Lingjie Li, Qiuzhen Lin, Zhong Ming
A survey of artificial immune algorithms for multi-objective optimization. Neurocomputing 489 (2022)
Biyang Ma, Yinghui Pan, Yifeng Zeng, Zhong Ming
Ev-IDID: Enhancing Solutions to Interactive Dynamic Influence Diagrams through Evolutionary Algorithms. AAMAS (2022)
Xiaoqiang Wu, Qingling Zhu, Qiuzhen Lin, Jianqiang Li, Jianyong Chen, Zhong Ming
An Efficient Evaluation Mechanism for Evolutionary Reinforcement Learning. ICIC (1) (2022)
Wanqi Ma, Weike Pan, Zhong Ming
SCF: Structured collaborative filtering with heterogeneous implicit feedback. Knowl. Based Syst. 258 (2022)
Yinghui Pan, Hanyi Zhang, Yifeng Zeng, Biyang Ma, Jing Tang, Zhong Ming
Diversifying agent's behaviors in interactive decision models. Int. J. Intell. Syst. 37 (12) (2022)
Yulong Ye, Lingjie Li, Qiuzhen Lin, Ka-Chun Wong, Jianqiang Li, Zhong Ming
Knowledge guided Bayesian classification for dynamic multi-objective optimization. Knowl. Based Syst. 250 (2022)
Chengwei Li, Han Liu, Zhong Ming
Empirical study on virtual order of class labels in nominal classification. Int. J. Mach. Learn. Cybern. 13 (11) (2022)
Yinghui Pan, Hanyi Zhang, Yifeng Zeng, Biyang Ma, Jing Tang, Zhong Ming
Diversifying Agent's Behaviors in Interactive Decision Models. CoRR (2022)
Shen Zhuang, Ying He, F. Richard Yu, Chengxi Gao, Weike Pan, Zhong Ming
When Multi-access Edge Computing Meets Multi-area Intelligent Reflecting Surface: A Multi-agent Reinforcement Learning Approach. IWQoS (2022)
Dugang Liu, Weihao Du, Lei Li, Weike Pan, Zhong Ming
Augmenting Legal Judgment Prediction with Contrastive Case Relations. COLING (2022)
Jixiong Liu, Dugang Liu, Weike Pan, Zhong Ming
ALTRec: Adversarial Learning for Autoencoder-based Tail Recommendation. DSAA (2022)
Yongfeng Li, Lingjie Li, Qiuzhen Lin, Ka-Chun Wong, Zhong Ming, Carlos A. Coello Coello
A self-organizing weighted optimization based framework for large-scale multi-objective optimization. Swarm Evol. Comput. 72 (2022)
Zijie Zeng, Jing Lin, Weike Pan, Zhong Ming, Zhongqi Lu
PAS: A Position-Aware Similarity Measurement for Sequential Recommendation. CoRR (2022)
Zhuoxin Zhan, Mingkai He, Weike Pan, Zhong Ming
TransRec++: Translation-based sequential recommendation with heterogeneous feedback. Frontiers Comput. Sci. 16 (2) (2022)
Zhijiao Xiao, Xiao Liu, Zhong Ming
A Deep Reinforcement Learning based VM Scheduling Strategy Decreasing Data Center Communication costs. HPCC/DSS/SmartCity/DependSys (2022)
Wanqi Ma, Xiancong Chen, Weike Pan, Zhong Ming
VAE++: Variational AutoEncoder for Heterogeneous One-Class Collaborative Filtering. WSDM (2022)
Zheng Yuan, Dugang Liu, Weike Pan, Zhong Ming
SQL-Rank++: A Novel Listwise Approach for Collaborative Ranking with Implicit Feedback. IJCNN (2022)
Jie Zhou, Witold Pedrycz, Can Gao, Zhihui Lai, Jun Wan, Zhong Ming
Robust Jointly Sparse Fuzzy Clustering With Neighborhood Structure Preservation. IEEE Trans. Fuzzy Syst. 30 (4) (2022)
Lingjie Li, Yongfeng Li, Qiuzhen Lin, Zhong Ming, Carlos A. Coello Coello
A convergence and diversity guided leader selection strategy for many-objective particle swarm optimization. Eng. Appl. Artif. Intell. 115 (2022)
Faan Zheng, Qiao Yan, Victor C. M. Leung, F. Richard Yu, Zhong Ming
HDP-CNN: Highway deep pyramid convolution neural network combining word-level and character-level representations for phishing website detection. Comput. Secur. 114 (2022)
Jinwei Luo, Mingkai He, Xiaolin Lin, Weike Pan, Zhong Ming
Dual-Task Learning for Multi-Behavior Sequential Recommendation. CIKM (2022)
Mingkai He, Weike Pan, Zhong Ming
BAR: Behavior-aware recommendation for sequential heterogeneous one-class collaborative filtering. Inf. Sci. 608 (2022)
Pengxiang Cheng, Hong Zhu, Xing Tang, Dugang Liu, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data. CoRR (2022)
Junchuang Cai, Qingling Zhu, Qiuzhen Lin, Jianqiang Li, Jianyong Chen, Zhong Ming
An Efficient Multi-objective Evolutionary Algorithm for a Practical Dynamic Pickup and Delivery Problem. ICIC (1) (2022)
Yinghui Pan, Junhan Chen, Yifeng Zeng, Zhangrui Yao, Qianwen Li, Biyang Ma, Yi Ji, Zhong Ming
T: Learning Bayesian Network Structures from Text in Autonomous Typhoon Response Systems. AAMAS (2022)
Guangyuan Zou, Ying He, F. Richard Yu, Longquan Chen, Weike Pan, Zhong Ming
Multi-Constraint Deep Reinforcement Learning for Smooth Action Control. IJCAI (2022)
Zijie Zeng, Jing Lin, Weike Pan, Zhong Ming, Zhongqi Lu
PAS: A Position-Aware Similarity Measurement for Sequential Recommendation. IJCNN (2022)
Zhangrui Yao, Junhan Chen, Yinghui Pan, Yifeng Zeng, Biyang Ma, Zhong Ming
Learning a Typhoon Bayesian Network Structure from Natural Language Reports. IFIP TC12 ICIS (2022)
Yongxin Ni, Shan Ouyang, Lin Li, Weike Pan, Zhong Ming
Collaborative filtering with implicit feedback via learning pairwise preferences over user-groups and item-sets. CCF Trans. Pervasive Comput. Interact. 4 (1) (2022)
Yuhao Wu, Weipeng Cao, Ye Liu, Zhong Ming, Jianqiang Li, Bo Lu
Semantic Auto-Encoder with L2-norm Constraint for Zero-Shot Learning. ICMLC (2021)
Lingjie Li, Qiuzhen Lin, Ke Li, Zhong Ming
Vertical distance-based clonal selection mechanism for the multiobjective immune algorithm. Swarm Evol. Comput. 63 (2021)
Guanyu Lin, Feng Liang, Weike Pan, Zhong Ming
FedRec: Federated Recommendation With Explicit Feedback. IEEE Intell. Syst. 36 (5) (2021)
Yongfeng Li, Lingjie Li, Qiuzhen Lin, Zhong Ming
An Efficient Competitive Swarm Optimizer for Solving Large-Scale Multi-objective Optimization Problems. ICIC (1) (2021)
Ying He, Yuhang Wang, Chao Qiu, Qiuzhen Lin, Jianqiang Li, Zhong Ming
Blockchain-Based Edge Computing Resource Allocation in IoT: A Deep Reinforcement Learning Approach. IEEE Internet Things J. 8 (4) (2021)
Shu Yang, Kunkun Xu, Laizhong Cui, Zhongxing Ming, Ziteng Chen, Zhong Ming
EBI-PAI: Toward an Efficient Edge-Based IoT Platform for Artificial Intelligence. IEEE Internet Things J. 8 (12) (2021)
Ning Xie, Changsheng Chen, Zhong Ming
Security Model of Authentication at the Physical Layer and Performance Analysis over Fading Channels. IEEE Trans. Dependable Secur. Comput. 18 (1) (2021)
Laizhong Cui, Dongyuan Su, Shu Yang, Zhi Wang, Zhong Ming
TCLiVi: Transmission Control in Live Video Streaming Based on Deep Reinforcement Learning. IEEE Trans. Multim. 23 (2021)
Fei Chen, Donghong Wang, Qiuzhen Lin, Jianyong Chen, Zhong Ming, Wei Yu, Jing Qin
Towards Dynamic Verifiable Pattern Matching. IEEE Trans. Big Data 7 (2) (2021)
Junhao Zheng, Lingjie Li, Qiuzhen Lin, Zhong Ming
An Improved Weighted Optimization-based Framework for Large-scale MOPs. CEC (2021)
Manlin Xuan, Lingjie Li, Qiuzhen Lin, Zhong Ming, Wenhong Wei
A Modified Decomposition Based Multi-objective Optimization Algorithm for High Dimensional Feature Selection. CCIS (2021)
Zhaohao Lin, Weike Pan, Zhong Ming
FR-FMSS: Federated Recommendation via Fake Marks and Secret Sharing. RecSys (2021)
Chen Wang, Xiaojun Chen, Bingkun Chen, Feiping Nie, Bo Wang, Zhong Ming
Learning unsupervised node representation from multi-view network. Inf. Sci. 579 (2021)
Lei Zhang, Yanyan Suo, Ximing Wu, Feng Wang, Yuchi Chen, Laizhong Cui, Jiangchuan Liu, Zhong Ming
TBRA: Tiling and Bitrate Adaptation for Mobile 360-Degree Video Streaming. ACM Multimedia (2021)
Yifeng Zeng, Zhangrui Yao, Yinghui Pan, Wanqing Chen, Junxin Zhou, Junhan Chen, Biyang Ma, Zhong Ming
ATPT: Automate Typhoon Contingency Plan Generation from Text. AAMAS (2021)
Enyue Yang, Yunfeng Huang, Feng Liang, Weike Pan, Zhong Ming
FCMF: Federated collective matrix factorization for heterogeneous collaborative filtering. Knowl. Based Syst. 220 (2021)
Han Qiu, Hassan N. Noura, Meikang Qiu, Zhong Ming, Gérard Memmi
A User-Centric Data Protection Method for Cloud Storage Based on Invertible DWT. IEEE Trans. Cloud Comput. 9 (4) (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zhong Ming