Zhong Ming

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 310

Top Venues

Publications

Shu Chen, Jinwei Luo, Weike Pan, Jiangxing Yu, Xin Huang, Zhong Ming
Sample Enrichment via Temporary Operations on Subsequences for Sequential Recommendation. CoRR (2024)
Jing Xiao, Weike Pan, Zhong Ming
A Generic Behavior-Aware Data Augmentation Framework for Sequential Recommendation. SIGIR (2024)
Dugang Liu, Shenxian Xian, Xiaolin Lin, Xiaolian Zhang, Hong Zhu, Yuan Fang, Zhen Chen, Zhong Ming
A Practice-Friendly Two-Stage LLM-Enhanced Paradigm in Sequential Recommendation. CoRR (2024)
Dugang Liu, Chaohua Yang, Xing Tang, Yejing Wang, Fuyuan Lyu, Weihong Luo, Xiuqiang He, Zhong Ming, Xiangyu Zhao
MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems. WSDM (2024)
Shu Chen, Zitao Xu, Weike Pan, Qiang Yang, Zhong Ming
A Survey on Cross-Domain Sequential Recommendation. CoRR (2024)
Longquan Chen, Ying He, F. Richard Yu, Weike Pan, Zhong Ming
A Novel Reinforcement Learning Method for Autonomous Driving With Intermittent Vehicle-to-Everything (V2X) Communications. IEEE Trans. Veh. Technol. 73 (6) (2024)
Cheng Wen, Yuandao Cai, Bin Zhang, Jie Su, Zhiwu Xu, Dugang Liu, Shengchao Qin, Zhong Ming, Cong Tian
Automatically Inspecting Thousands of Static Bug Warnings with Large Language Model: How Far Are We? ACM Trans. Knowl. Discov. Data 18 (7) (2024)
Yuze Zhang, Qiuzhen Lin, Lingjie Li, Zhijiao Xiao, Zhong Ming, Victor C. M. Leung
Multiobjective band selection approach via an adaptive particle swarm optimizer for remote sensing hyperspectral images. Swarm Evol. Comput. 89 (2024)
Dugang Liu, Xing Tang, Yang Qiao, Miao Liu, Zexu Sun, Xiuqiang He, Zhong Ming
Benchmarking for Deep Uplift Modeling in Online Marketing. CoRR (2024)
Hongwei Su, Han Liu, Weipeng Cao, Zhong Ming
Knowledge Distillation with Classmate. ICIC (2) (2024)
Lingjie Li, Qijie Qiu, Zhijiao Xiao, Qiuzhen Lin, Jiongjiong Gu, Zhong Ming
A Two-Stage Hybrid Multi-Objective Optimization Evolutionary Algorithm for Computing Offloading in Sustainable Edge Computing. IEEE Trans. Consumer Electron. 70 (1) (2024)
Xiaolin Lin, Jinwei Luo, Junwei Pan, Weike Pan, Zhong Ming, Xun Liu, Shudong Huang, Jie Jiang
Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation. WSDM (2024)
Shubin Cai, Honglong Chen, Youyi Huang, Zhong Ming
ComPAT: A Compiler Principles Course Assistant. KSEM (5) (2024)
Zitao Xu, Weike Pan, Zhong Ming
Transfer learning in cross-domain sequential recommendation. Inf. Sci. 669 (2024)
Ming Chen, Weike Pan, Zhong Ming
Explicit and Implicit Modeling via Dual-Path Transformer for Behavior Set-informed Sequential Recommendation. KDD (2024)
Zhaohao Lin, Weike Pan, Zhong Ming
Privacy-Preserving Cross-Domain Sequential Recommendation. CoRR (2024)
Zhouming Zhu, Lingjie Li, Zhijiao Xiao, Songbai Liu, Lijia Ma, Qiuzhen Lin, Zhong Ming
A High-Dimensional Feature Selection Method via Selection and Non-selection Operators and Local Search Mechanism in Particle Swarm Optimization. ICIC (2) (2024)
Chenxing Kuang, Yunyun Qiu, Weipeng Cao, Zhijiao Xiao, Zhong Ming
A Brief Review on Prediction Methods for Cloud Resource Management. SmartCloud (2024)
Yulong Ye, Qiuzhen Lin, Ka-Chun Wong, Jian-qiang Li, Zhong Ming, Carlos A. Coello Coello
A localized decomposition evolutionary algorithm for imbalanced multi-objective optimization. Eng. Appl. Artif. Intell. 129 (2024)
Jiaxiang Liu, Yunhan Xing, Xiaomu Shi, Fu Song, Zhiwu Xu, Zhong Ming
Abstraction and Refinement: Towards Scalable and Exact Verification of Neural Networks. ACM Trans. Softw. Eng. Methodol. 33 (5) (2024)
Lingjie Li, Yongfeng Li, Qiuzhen Lin, Songbai Liu, Junwei Zhou, Zhong Ming, Carlos A. Coello Coello
Neural Net-Enhanced Competitive Swarm Optimizer for Large-Scale Multiobjective Optimization. IEEE Trans. Cybern. 54 (6) (2024)
Weixin Li, Yuhao Wu, Yang Liu, Weike Pan, Zhong Ming
BMLP: Behavior-aware MLP for Heterogeneous Sequential Recommendation. CoRR (2024)
Jialei Zhang, Shubin Cai, Zhiwei Jiang, Jian Xiao, Zhong Ming
FireRobBrain: Planning for a Firefighting Robot using Knowledge Graph and Large Language Model. IDS (2024)
Enyue Yang, Weike Pan, Qiang Yang, Zhong Ming
Discrete Federated Multi-behavior Recommendation for Privacy-Preserving Heterogeneous One-Class Collaborative Filtering. ACM Trans. Inf. Syst. 42 (5) (2024)
Dugang Liu, Shenxian Xian, Yuhao Wu, Chaohua Yang, Xing Tang, Xiuqiang He, Zhong Ming
AutoDCS: Automated Decision Chain Selection in Deep Recommender Systems. SIGIR (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)
Yunyun Qiu, Weipeng Cao, Zhijiao Xiao, Zhong Ming, Changping Ji, Jiongjiong Gu, Chuqing Cao, Liang Zheng
WGGAL: A Practical Time Series Forecasting Framework for Dynamic Cloud Environments. KSEM (3) (2024)
Cheng Wen, Yuandao Cai, Bin Zhang, Jie Su, Zhiwu Xu, Dugang Liu, Shengchao Qin, Zhong Ming, Cong Tian
Automatically Inspecting Thousands of Static Bug Warnings with Large Language Model: How Far Are We? IEEE Trans. Knowl. Data Eng. 18 (7) (2024)
Zixuan Hong, Weipeng Cao, Zhiwu Xu, Zhong Ming, Chuqing Cao, Liang Zheng
DSCVSR: A Lightweight Video Super-Resolution for Arbitrary Magnification. KSEM (1) (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)
Junchuang Cai, Xinzhi Zhang, Qiuzhen Lin, Lisha Dong, Weineng Chen, Zhong Ming
Deep Reinforcement Learning for Solving the Vehicle Routing Problem in Practical Logistics. CEC (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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zhong Ming