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ORCIDZhong Ming 0001
Ming Zhong 0003
Person information
- affiliation: Shenzhen University, College of Computer Science and Software Engineering, Big Data Institute, China
- affiliation (PhD): Yat-sen University, Guangzhou, China
Other persons with the same name
- Ming Zhong — disambiguation page
- Ming Zhong 0001 — Tsinghua National Laboratory for Information Science and Technology, Beijing, China (and 1 more)
- Ming Zhong 0002
![[0000-0001-9376-818X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-9376-818X")
— Wuhan University, State Key Laboratory of Software Engineeering, Hubei, China
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2020 – today
- 2023
[j175]Jinwei Luo, Mingkai He, Weike Pan, Zhong Ming:
BGNN: Behavior-aware graph neural network for heterogeneous session-based recommendation. Frontiers Comput. Sci. 17(5): 175336 (2023)- [j174]Jing Lin, Mingkai He, Weike Pan, Zhong Ming:
Collaborative filtering with sequential implicit feedback via learning users' preferences over item-sets. Inf. Sci. 621: 136-155 (2023) - [j173]Xiaofei Zhou, Weipeng Cao, Hanxiao Gao, Zhong Ming, Jiyong Zhang:
STI-Net: Spatiotemporal integration network for video saliency detection. Inf. Sci. 628: 134-147 (2023) - [j172]Xianxu Hou, Linlin Shen, Zhong Ming, Guoping Qiu:
Deep generative image priors for semantic face manipulation. Pattern Recognit. 139: 109477 (2023) - [j171]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): 14:1-14:22 (2023) - [j170]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): 40:1-40:37 (2023) - [c119]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: 580-592 - [c118]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: 1673-1682 - [i9]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 abs/2302.03419 (2023) - [i8]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 abs/2303.11574 (2023) - 2022
- [j169]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): 32-44 (2022) - [j168]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: 102584 (2022) - [j167]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: 105249 (2022) - [j166]Zhuoxin Zhan, Mingkai He, Weike Pan, Zhong Ming:
TransRec++: Translation-based sequential recommendation with heterogeneous feedback. Frontiers Comput. Sci. 16(2): 162615 (2022) - [j165]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): 12035-12056 (2022) - [j164]Lingjie Li, Qiuzhen Lin, Zhong Ming:
A survey of artificial immune algorithms for multi-objective optimization. Neurocomputing 489: 211-229 (2022) - [j163]Zhong Ming, Lijun Zhang, Shengchao Qin:
Preface to Special Issue on Analysis and Verification of Intelligent Systems. Int. J. Softw. Informatics 12(4): 351-353 (2022) - [j162]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): 2722-2733 (2022) - [j161]Mingkai He, Weike Pan, Zhong Ming:
BAR: Behavior-aware recommendation for sequential heterogeneous one-class collaborative filtering. Inf. Sci. 608: 881-899 (2022) - [j160]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: 109173 (2022) - [j159]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: 109441 (2022) - [j158]Jun Wang, Wenjun Wang, Wei Yu, Xueli Liu, Keyong Jia, Xiaoming Li, Ming Zhong, Yueheng Sun, Yuqing Xu:
STHGCN: A spatiotemporal prediction framework based on higher-order graph convolution networks. Knowl. Based Syst. 258: 109985 (2022) - [j157]Wanqi Ma, Weike Pan, Zhong Ming:
SCF: Structured collaborative filtering with heterogeneous implicit feedback. Knowl. Based Syst. 258: 109999 (2022) - [j156]Chengwei Li, Han Liu, Zhong Ming:
Empirical study on virtual order of class labels in nominal classification. Int. J. Mach. Learn. Cybern. 13(11): 3255-3266 (2022) - [j155]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: 101084 (2022) - [j154]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): 1164-1178 (2022) - [j153]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): 1073-1087 (2022) - [j152]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): 4642-4654 (2022) - [c117]Rian He, Shubin Cai, Zhong Ming, Jialei Zhang:
Weighted self Distillation for Chinese word segmentation. ACL (Findings) 2022: 1757-1770 - [c116]Biyang Ma, Yinghui Pan, Yifeng Zeng, Zhong Ming:
Ev-IDID: Enhancing Solutions to Interactive Dynamic Influence Diagrams through Evolutionary Algorithms. AAMAS 2022: 1911-1913 - [c115]Yinghui Pan, Junhan Chen, Yifeng Zeng, Zhangrui Yao, Qianwen Li, Biyang Ma, Yi Ji, Zhong Ming:
LBfT: Learning Bayesian Network Structures from Text in Autonomous Typhoon Response Systems. AAMAS 2022: 1914-1916 - [c114]Jinwei Luo, Mingkai He, Xiaolin Lin, Weike Pan, Zhong Ming:
Dual-Task Learning for Multi-Behavior Sequential Recommendation. CIKM 2022: 1379-1388 - [c113]Dugang Liu, Weihao Du, Lei Li, Weike Pan, Zhong Ming:
Augmenting Legal Judgment Prediction with Contrastive Case Relations. COLING 2022: 2658-2667 - [c112]Jixiong Liu, Dugang Liu, Weike Pan, Zhong Ming:
ALTRec: Adversarial Learning for Autoencoder-based Tail Recommendation. DSAA 2022: 1-9 - [c111]Zhijiao Xiao, Xiao Liu, Zhong Ming:
A Deep Reinforcement Learning based VM Scheduling Strategy Decreasing Data Center Communication costs. HPCC/DSS/SmartCity/DependSys 2022: 1173-1179 - [c110]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: 27-40 - [c109]Xiaoqiang Wu, Qingling Zhu, Qiuzhen Lin, Jianqiang Li, Jianyong Chen, Zhong Ming:
An Efficient Evaluation Mechanism for Evolutionary Reinforcement Learning. ICIC (1) 2022: 41-50 - [c108]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: 174-182 - [c107]Guangyuan Zou, Ying He, F. Richard Yu, Longquan Chen, Weike Pan, Zhong Ming:
Multi-Constraint Deep Reinforcement Learning for Smooth Action Control. IJCAI 2022: 3802-3808 - [c106]Lin Li, Weike Pan, Guanliang Chen, Zhong Ming:
DeepSet: Deep Learning-based Recommendation with Setwise Preference. IJCNN 2022: 1-9 - [c105]Zheng Yuan, Dugang Liu, Weike Pan, Zhong Ming:
SQL-Rank++: A Novel Listwise Approach for Collaborative Ranking with Implicit Feedback. IJCNN 2022: 1-8 - [c104]Zijie Zeng, Jing Lin, Weike Pan, Zhong Ming, Zhongqi Lu:
PAS: A Position-Aware Similarity Measurement for Sequential Recommendation. IJCNN 2022: 1-8 - [c103]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: 1-8 - [c102]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: 1-10 - [c101]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: 1051-1059 - [c100]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: 268-277 - [c99]Wanqi Ma, Xiancong Chen, Weike Pan, Zhong Ming:
VAE++: Variational AutoEncoder for Heterogeneous One-Class Collaborative Filtering. WSDM 2022: 666-674 - [i7]Yinghui Pan, Hanyi Zhang, Yifeng Zeng, Biyang Ma, Jing Tang, Zhong Ming:
Diversifying Agent's Behaviors in Interactive Decision Models. CoRR abs/2203.03068 (2022) - [i6]Zijie Zeng, Jing Lin, Weike Pan, Zhong Ming, Zhongqi Lu:
PAS: A Position-Aware Similarity Measurement for Sequential Recommendation. CoRR abs/2205.06997 (2022) - [i5]Jiaxiang Liu, Yunhan Xing, Xiaomu Shi, Fu Song, Zhiwu Xu, Zhong Ming:
Abstraction and Refinement: Towards Scalable and Exact Verification of Neural Networks. CoRR abs/2207.00759 (2022) - [i4]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 abs/2207.02773 (2022) - [i3]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 abs/2212.08854 (2022) - 2021
- [j151]Lingjie Li, Qiuzhen Lin, Zhong Ming:
Multi-objective optimization using self-organizing decomposition and its application to crashworthiness design. Appl. Soft Comput. 101: 107002 (2021) - [j150]Guanyu Lin, Feng Liang, Weike Pan, Zhong Ming:
FedRec: Federated Recommendation With Explicit Feedback. IEEE Intell. Syst. 36(5): 21-30 (2021) - [j149]Yongxin Ni, Xiancong Chen, Weike Pan, Zixiang Chen, Zhong Ming:
Factored heterogeneous similarity model for recommendation with implicit feedback. Neurocomputing 455: 59-67 (2021) - [j148]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): 2226-2237 (2021) - [j147]Yongxin Liu, Jian Wang, Jianqiang Li, Houbing Song, Thomas T. Yang, Shuteng Niu, Zhong Ming:
Zero-Bias Deep Learning for Accurate Identification of Internet-of-Things (IoT) Devices. IEEE Internet Things J. 8(4): 2627-2634 (2021) - [j146]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): 9580-9593 (2021) - [j145]Chen Wang, Xiaojun Chen, Bingkun Chen, Feiping Nie, Bo Wang, Zhong Ming:
Learning unsupervised node representation from multi-view network. Inf. Sci. 579: 700-716 (2021) - [j144]Yinghui Pan, Jing Tang, Biyang Ma, Yifeng Zeng, Zhong Ming:
Toward data-driven solutions to interactive dynamic influence diagrams. Knowl. Inf. Syst. 63(9): 2431-2453 (2021) - [j143]Enyue Yang, Yunfeng Huang, Feng Liang, Weike Pan, Zhong Ming:
FCMF: Federated collective matrix factorization for heterogeneous collaborative filtering. Knowl. Based Syst. 220: 106946 (2021) - [j142]Zhongwu Xie, Weipeng Cao, Zhong Ming:
A further study on biologically inspired feature enhancement in zero-shot learning. Int. J. Mach. Learn. Cybern. 12(1): 257-269 (2021) - [j141]Weipeng Cao, Zhongwu Xie, Jianqiang Li, Zhiwu Xu, Zhong Ming, Xizhao Wang:
Bidirectional stochastic configuration network for regression problems. Neural Networks 140: 237-246 (2021) - [j140]Lingjie Li, Qiuzhen Lin, Ke Li, Zhong Ming:
Vertical distance-based clonal selection mechanism for the multiobjective immune algorithm. Swarm Evol. Comput. 63: 100886 (2021) - [j139]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): 421-435 (2021) - [j138]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): 1293-1304 (2021) - [j137]Qingling Zhu, Qiuzhen Lin, Jianqiang Li, Carlos A. Coello Coello, Zhong Ming, Jianyong Chen, Jun Zhang:
An Elite Gene Guided Reproduction Operator for Many-Objective Optimization. IEEE Trans. Cybern. 51(2): 765-778 (2021) - [j136]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): 253-268 (2021) - [j135]Wanqi Ma, Xiaoxiao Liao, Wei Dai, Weike Pan, Zhong Ming:
Holistic Transfer to Rank for Top-N Recommendation. ACM Trans. Interact. Intell. Syst. 11(1): 8:1 (2021) - [j134]Zhuoxin Zhan, Liulan Zhong, Jing Lin, Weike Pan, Zhong Ming:
Sequence-aware similarity learning for next-item recommendation. J. Supercomput. 77(7): 7509-7534 (2021) - [j133]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: 651-663 (2021) - [c98]Feng Liang, Weike Pan, Zhong Ming:
FedRec++: Lossless Federated Recommendation with Explicit Feedback. AAAI 2021: 4224-4231 - [c97]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: 1788-1790 - [c96]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: 109-113 - [c95]Junhao Zheng, Lingjie Li, Qiuzhen Lin, Zhong Ming:
An Improved Weighted Optimization-based Framework for Large-scale MOPs. CEC 2021: 2156-2163 - [c94]Yongfeng Li, Lingjie Li, Qiuzhen Lin, Zhong Ming:
An Efficient Competitive Swarm Optimizer for Solving Large-Scale Multi-objective Optimization Problems. ICIC (1) 2021: 72-85 - [c93]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: 101-105 - [c92]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: 4007-4015 - [c91]Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming:
Mitigating Confounding Bias in Recommendation via Information Bottleneck. RecSys 2021: 351-360 - [c90]Zhaohao Lin, Weike Pan, Zhong Ming:
FR-FMSS: Federated Recommendation via Fake Marks and Secret Sharing. RecSys 2021: 668-673 - [c89]Zinan Lin, Dugang Liu, Weike Pan, Zhong Ming:
Transfer Learning in Collaborative Recommendation for Bias Reduction. RecSys 2021: 736-740 - 2020
- [j132]Shu Yang, Qiuling Huang, Laizhong Cui, Kunkun Xu, Zhong Ming, Zhenkun Wen:
Variable-grouping-based exponential crossover for differential evolution algorithm. Int. J. Bio Inspired Comput. 15(3): 147-158 (2020) - [j131]Wei Cai, Weike Pan, Jixiong Liu, Zixiang Chen, Zhong Ming:
k-Reciprocal nearest neighbors algorithm for one-class collaborative filtering. Neurocomputing 381: 207-216 (2020) - [j130]Zixiang Chen, Wanqi Ma, Wei Dai, Weike Pan, Zhong Ming:
Conditional restricted Boltzmann machine for item recommendation. Neurocomputing 385: 269-277 (2020) - [j129]Jing Lin, Weike Pan, Lin Li, Zixiang Chen, Zhong Ming:
Matrix factorization with heterogeneous multiclass preference context. Neurocomputing 390: 148-157 (2020) - [j128]Jia Wang, Yuchao Su, Qiuzhen Lin, Lijia Ma, Dunwei Gong, Jianqiang Li, Zhong Ming:
A survey of decomposition approaches in multiobjective evolutionary algorithms. Neurocomputing 408: 308-330 (2020) - [j127]Laizhong Cui, Shu Yang, Ziteng Chen, Yi Pan, Zhong Ming, Mingwei Xu:
A Decentralized and Trusted Edge Computing Platform for Internet of Things. IEEE Internet Things J. 7(5): 3910-3922 (2020) - [j126]Jixiong Liu, Weike Pan, Zhong Ming:
CoFiGAN: Collaborative filtering by generative and discriminative training for one-class recommendation. Knowl. Based Syst. 191: 105255 (2020) - [j125]Weipeng Cao, Lei Hu, Jinzhu Gao, Xizhao Wang, Zhong Ming:
A study on the relationship between the rank of input data and the performance of random weight neural network. Neural Comput. Appl. 32(16): 12685-12696 (2020) - [j124]Adnan Tahir, Fei Chen, Habib Ullah Khan, Zhong Ming, Arshad Ahmad, Shah Nazir, Muhammad Shafiq:
A Systematic Review on Cloud Storage Mechanisms Concerning e-Healthcare Systems. Sensors 20(18): 5392 (2020) - [j123]Rong Wang, Haojie Hu, Fang He, Feiping Nie, Shubin Cai, Zhong Ming:
Self-weighted collaborative representation for hyperspectral anomaly detection. Signal Process. 177: 107718 (2020) - [j122]Sheng-Hua Zhong, Peiqi Liu, Zhong Ming, Yan Liu:
How to Evaluate Single-Round Dialogues Like Humans: An Information-Oriented Metric. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2211-2223 (2020) - [j121]Wei Dai, Qing Zhang, Weike Pan, Zhong Ming:
Transfer to Rank for Top-N Recommendation. IEEE Trans. Big Data 6(4): 770-779 (2020) - [j120]Han Qiu, Meikang Qiu, Meiqin Liu, Zhong Ming:
Lightweight Selective Encryption for Social Data Protection Based on EBCOT Coding. IEEE Trans. Comput. Soc. Syst. 7(1): 205-214 (2020) - [j119]Lijia Ma, Jianqiang Li, Qiuzhen Lin, Maoguo Gong, Carlos A. Coello Coello, Zhong Ming:
Cost-Aware Robust Control of Signed Networks by Using a Memetic Algorithm. IEEE Trans. Cybern. 50(10): 4430-4443 (2020) - [j118]Chengwen Luo, Jiawei Wu, Jianqiang Li, Jia Wang, Weitao Xu, Zhong Ming, Bo Wei, Wei Li, Albert Y. Zomaya:
Gait Recognition as a Service for Unobtrusive User Identification in Smart Spaces. ACM Trans. Internet Things 1(1): 5:1-5:21 (2020) - [j117]Lin Li, Weike Pan, Zhong Ming:
CoFi-points: Collaborative Filtering via Pointwise Preference Learning on User/Item-Set. ACM Trans. Intell. Syst. Technol. 11(4): 41:1-41:24 (2020) - [j116]Xiaojun Chen, Guowen Yuan, Feiping Nie, Zhong Ming:
Semi-Supervised Feature Selection via Sparse Rescaled Linear Square Regression. IEEE Trans. Knowl. Data Eng. 32(1): 165-176 (2020) - [j115]Zijie Zeng, Jing Lin, Lin Li, Weike Pan, Zhong Ming:
Next-Item Recommendation via Collaborative Filtering with Bidirectional Item Similarity. ACM Trans. Inf. Syst. 38(1): 7:1-7:22 (2020) - [j114]Xiancong Chen, Lin Li, Weike Pan, Zhong Ming:
A Survey on Heterogeneous One-class Collaborative Filtering. ACM Trans. Inf. Syst. 38(4): 35:1-35:54 (2020) - [c88]Ye Liu, Weipeng Cao, Zhong Ming, Qiang Wang, Jiyong Zhang, Zhiwu Xu:
Ensemble Neural Networks with Random Weights for Classification Problems. ACAI 2020: 15:1-15:5 - [c87]Liulan Zhong, Jing Lin, Weike Pan, Zhong Ming:
Sequence-Aware Factored Mixed Similarity Model for Next-Item Recommendation. BigComp 2020: 181-188 - [c86]Xiancong Chen, Weike Pan, Zhong Ming:
Dual Similarity Learning for Heterogeneous One-Class Collaborative Filtering. BigComp 2020: 193-196 - [c85]Weipeng Cao, Pengfei Yang, Zhong Ming, Shubin Cai, Jiyong Zhang:
An Improved Fuzziness based Random Vector Functional Link Network for Liver Disease Detection. BigDataSecurity/HPSC/IDS 2020: 42-48 - [c84]Zhongwu Xie, Weipeng Cao, Xizhao Wang, Zhong Ming, Jingjing Zhang, Jiyong Zhang:
A Biologically Inspired Feature Enhancement Framework for Zero-Shot Learning. CSCloud/EdgeCom 2020: 120-125 - [c83]Shubin Cai, Huaifeng Zhou, Ningsheng Yang, Zhong Ming:
A Simulation Study on Block Generation Algorithm Based on TPS Model. ICA3PP (3) 2020: 155-169 - [c82]Weidong Zou, Yuanqing Xia, Weipeng Cao, Zhong Ming:
Broad Learning System with Proportional-Integral-Differential Gradient Descent. ICA3PP (1) 2020: 219-231 - [c81]Xizhao Wang, Zhongwu Xie, Weipeng Cao, Zhong Ming:
A Hierarchical-Tree-Based Method for Generative Zero-Shot Learning. ICA3PP (2) 2020: 352-364 - [c80]Weipeng Cao, Cong Zhou, Yuhao Wu, Zhong Ming, Zhiwu Xu, Jiyong Zhang:
Research Progress of Zero-Shot Learning Beyond Computer Vision. ICA3PP (2) 2020: 538-551 - [c79]