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ORCIDHong Zhu 0003
Person information
- affiliation: Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan, China
Other persons with the same name
- Hong Zhu — disambiguation page
- Hong Zhu 0001
![[0009-0004-3628-8541]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0009-0004-3628-8541")
— University of Electronic Science and Technology of China, School of Automation Engineering, Chengdu, China - Hong Zhu 0002 — Oxford Brookes University, School of Engineering, Computing and Mathematics, Oxford, UK (and 2 more)
- Hong Zhu 0004 — East China Normal University, College of Software, Shanghai Key Laboratory of Trustworthy Computing, Shanghai, China (and 1 more)
- Hong Zhu 0005 — Xuzhou Medical University, School of Medical Information, Xuzhou, China (and 1 more)
- Hong Zhu 0006 — Xi'an University of Technology, Faculty of Automation and Information Engineering, Xi'an, China
- Hong Zhu 0007 — Institute of Disaster Prevention, College of Ecology and Environment, Beijing, China (and 2 more)
- Hong Zhu 0008 — Southeast University, Key Laboratory of Concrete and Prestressed Concrete Structures of the Ministry of Education, Nanjing, China
- Hong Zhu 0009 — Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong
- Hong Zhu 0010 — China University of Mining and Technology, School of Information and Electrical Engineering, Xuzhou, China
- Hong Zhu 0011 — Shenzhen University, College of Computer Science and Software Engineering, Shenzhen, China (and 2 more)
- Hong Zhu 0012 — Jiangsu University, Faculty of Science, Zhenjiang, China
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2020 – today
- 2025
[j26]Lipeng Qian, Qiong Zuo, Dahu Li, Hong Zhu:
DGMSCL: A dynamic graph mixed supervised contrastive learning approach for class imbalanced multivariate time series classification. Neural Networks 185: 107131 (2025)- [j25]Zhiqiang Zhang, Hong Zhu, Pengxin Ban, Yong Wang, Leo Yu Zhang:
Multimodal Chaotification Model With Hardware Implementation. IEEE Trans. Ind. Electron. 72(2): 2056-2067 (2025) - [i15]Yufei Ye, Wei Guo, Jin Yao Chin, Hao Wang, Hong Zhu, Xi Lin, Yuyang Ye, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen:
FuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer. CoRR abs/2502.03036 (2025) - 2024
- [j24]Zhiqiang Zhang, Hong Zhu, Meiyi Xie:
Differential privacy may have a potential optimization effect on some swarm intelligence algorithms besides privacy-preserving. Inf. Sci. 654: 119870 (2024) - [c41]Yuang Zhao, Chuhan Wu, Qinglin Jia, Hong Zhu, Jia Yan, Libin Zong, Linxuan Zhang, Zhenhua Dong, Muyu Zhang:
Confidence-Aware Multi-Field Model Calibration. CIKM 2024: 5111-5118 - [c40]Yunjia Xi, Weiwen Liu, Jianghao Lin, Xiaoling Cai, Hong Zhu, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu:
Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models. RecSys 2024: 12-22 - [c39]Peijie Sun, Yifan Wang, Min Zhang, Chuhan Wu, Yan Fang, Hong Zhu, Yuan Fang, Meng Wang:
Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty. WWW (Companion Volume) 2024: 10-19 - [d1]Peijie Sun, Yifan Wang, Min Zhang, Chuhan Wu, Yan Fang, Hong Zhu, Yuan Fang, Meng Wang:
Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty. Zenodo, 2024
- [i14]Yuang Zhao, Chuhan Wu, Qinglin Jia, Hong Zhu, Jia Yan, Libin Zong, Linxuan Zhang, Zhenhua Dong, Muyu Zhang:
Confidence-Aware Multi-Field Model Calibration. CoRR abs/2402.17655 (2024) - [i13]Peijie Sun, Yifan Wang, Min Zhang, Chuhan Wu, Yan Fang, Hong Zhu, Yuan Fang, Meng Wang:
Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty. CoRR abs/2404.08301 (2024) - [i12]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 abs/2406.00333 (2024) - [i11]Yunjia Xi, Weiwen Liu, Jianghao Lin, Muyan Weng, Xiaoling Cai, Hong Zhu, Jieming Zhu, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang:
Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models. CoRR abs/2408.10520 (2024) - [i10]Chenxu Zhu, Shigang Quan, Bo Chen, Jianghao Lin, Xiaoling Cai, Hong Zhu, Xiangyang Li, Yunjia Xi, Weinan Zhang, Ruiming Tang:
LIBER: Lifelong User Behavior Modeling Based on Large Language Models. CoRR abs/2411.14713 (2024) - 2023
- [j23]Zhiqiang Zhang, Hong Zhu, Pengxin Ban, Yong Wang, Leo Yu Zhang:
Buffeting Chaotification Model for Enhancing Chaos and Its Hardware Implementation. IEEE Trans. Ind. Electron. 70(3): 2916-2926 (2023) - [j22]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): 1-27 (2023) - [c38]Xin Li, Hong Zhu, Zhiqiang Zhang, Meiyi Xie:
Item-Oriented Personalized LDP for Discrete Distribution Estimation. ESORICS (2) 2023: 446-466 - [c37]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]Chuhan Wu, Jingjie Li, Qinglin Jia, Hong Zhu, Yuan Fang, Ruiming Tang:
Contrastive Multi-view Framework for Customer Lifetime Value Prediction. CoRR abs/2306.14400 (2023) - [i8]Zhiqiang Zhang, Hong Zhu, Meiyi Xie:
Differential Privacy May Have a Potential Optimization Effect on Some Swarm Intelligence Algorithms besides Privacy-preserving. CoRR abs/2306.17370 (2023) - [i7]Hong Zhu, Runpeng Yu, Xing Tang, Yifei Wang, Yuan Fang, Yisen Wang:
Robust Long-Tailed Learning via Label-Aware Bounded CVaR. CoRR abs/2308.15405 (2023) - 2022
- [j21]Shengren Ke, Meiyi Xie, Hong Zhu, Zhongsheng Cao:
Group-based recurrent neural network for human mobility prediction. Neural Comput. Appl. 34(12): 9863-9883 (2022) - [c36]Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He:
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. AAAI 2022: 8945-8953 - [c35]Fuyuan Lyu, Xing Tang, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Xue Liu:
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction. CIKM 2022: 1399-1409 - [c34]Qixun Wang, Yifei Wang, Hong Zhu, Yisen Wang:
Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors. NeurIPS 2022 - [i6]Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He:
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. CoRR abs/2206.05749 (2022) - [i5]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) - [i4]Fuyuan Lyu, Xing Tang, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Xue Liu:
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction. CoRR abs/2208.04482 (2022) - [i3]Qixun Wang, Yifei Wang, Hong Zhu, Yisen Wang:
Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors. CoRR abs/2210.06807 (2022) - 2021
- [j20]Bing Li, Hong Zhu, Meiyi Xie:
Quantifying Location Privacy Risks Under Heterogeneous Correlations. IEEE Access 9: 23876-23893 (2021) - [j19]Pengyu Wang, Yong Wang, Leo Yu Zhang, Hong Zhu:
An effective and efficient fuzzy approach for managing natural noise in recommender systems. Inf. Sci. 570: 623-637 (2021) - [c33]Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, Lifeng Shang:
Noninvasive Self-attention for Side Information Fusion in Sequential Recommendation. AAAI 2021: 4249-4256 - [c32]Yunkai Yu, Hong Zhu, Meiyi Xie:
CTP: Correlated Trajectory Publication with Differential Privacy. ICCCS 2021: 128-133 - [c31]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 - [i2]Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, Lifeng Shang:
Non-invasive Self-attention for Side Information Fusion in Sequential Recommendation. CoRR abs/2103.03578 (2021) - 2020
- [c30]Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang:
Less Is Better: Unweighted Data Subsampling via Influence Function. AAAI 2020: 6340-6347 - [c29]Zhenhua Dong, Hong Zhu, Pengxiang Cheng, Xinhua Feng, Guohao Cai, Xiuqiang He, Jun Xu, Jirong Wen:
Counterfactual learning for recommender system. RecSys 2020: 568-569 - [c28]Jiangxing Yu, Hong Zhu, Chih-Yao Chang, Xinhua Feng, Bo-Wen Yuan, Xiuqiang He, Zhenhua Dong:
Influence Function for Unbiased Recommendation. SIGIR 2020: 1929-1932
2010 – 2019
- 2019
- [j18]Hong Zhu, Xin Zuo, Meiyi Xie:
DP-FT: A Differential Privacy Graph Generation With Field Theory for Social Network Data Release. IEEE Access 7: 164304-164319 (2019) - [c27]Bo-Wen Yuan, Jui-Yang Hsia, Mengyuan Yang, Hong Zhu, Chih-Yao Chang, Zhenhua Dong, Chih-Jen Lin:
Improving Ad Click Prediction by Considering Non-displayed Events. CIKM 2019: 329-338 - [c26]Hongbo Li, Hong Zhu, Zongmin Cui:
A spatial text query scheme based on semantic-aware. HP3C 2019: 55-58 - [c25]Bing Li, Hong Zhu, Meiyi Xie:
LISC: Location Inference Attack Enhanced by Spatial-Temporal-Social Correlations. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 1083-1092 - [i1]Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang:
Less Is Better: Unweighted Data Subsampling via Influence Function. CoRR abs/1912.01321 (2019) - 2018
- [j17]Zhuolin Mei, Hong Zhu, Zongmin Cui, Zongda Wu, Gang Peng, Bin Wu, Caicai Zhang:
Executing multi-dimensional range query efficiently and flexibly over outsourced ciphertexts in the cloud. Inf. Sci. 432: 79-96 (2018) - [j16]Hong Zhu, Hongbo Li, Zongmin Cui, Zhongsheng Cao, Meiyi Xie:
EFTG: Efficient and Flexible Top-K Geo-textual Publish/Subscribe. KSII Trans. Internet Inf. Syst. 12(12): 5877-5897 (2018) - 2017
- [j15]Qiong Zuo, Meiyi Xie, Guanqiu Qi, Hong Zhu:
Tenant-based access control model for multi-tenancy and sub-tenancy architecture in Software-as-a-Service. Frontiers Comput. Sci. 11(3): 465-484 (2017) - [c24]Hong Zhu, Zhuolin Mei, Bing Wu, Hongbo Li, Zongmin Cui:
Fuzzy Keyword Search and Access Control over Ciphertexts in Cloud Computing. ACISP (1) 2017: 248-265 - [c23]Hong Zhu, Hongbo Li, Zongmin Cui, Zhongsheng Cao, Meiyi Xie:
Convenient Top-k Location-Text Publish/Subscribe Scheme. ISICA (2) 2017: 183-191 - [c22]Caicai Zhang, Zhongsheng Cao, Hong Zhu:
Query Optimization Strategies in Probabilistic Relational Databases. NCTCS 2017: 208-220 - 2016
- [j14]Ke Yan, Hong Zhu, Kevin Lü:
VParC: a compression scheme for numeric data in column-oriented databases. Int. Arab J. Inf. Technol. 13(1): 1-11 (2016) - [j13]Zongmin Cui, Hong Zhu, Jie Shi, Lianhua Chi, Ke Yan:
Efficient authorisation update on cloud data. Int. J. Web Grid Serv. 12(2): 109-141 (2016) - [j12]Hong Zhu, Bin Wu, Meiyi Xie, Zongmin Cui:
Privacy-assured Boolean Adjacent Vertex Search over Encrypted Graph Data in Cloud Computing. KSII Trans. Internet Inf. Syst. 10(10): 5171-5189 (2016) - [j11]Hong Zhu, Caicai Zhang, Zhongsheng Cao, Ruiming Tang:
On efficient conditioning of probabilistic relational databases. Knowl. Based Syst. 92: 112-126 (2016) - [j10]Hong Zhu, Zhuolin Mei, Meiyi Xie:
Identity-based key management for cloud computing. Secur. Commun. Networks 9(13): 2143-2156 (2016) - [j9]Hong Zhu, Bin Wu, Meiyi Xie:
Privacy-preserving ranked neighbor query over encrypted graph data in the cloud. Secur. Commun. Networks 9(16): 3167-3177 (2016) - [c21]Hong Zhu, Caicai Zhang, Zhongsheng Cao:
An Efficient Initialization Method for Probabilistic Relational Databases. DEXA (2) 2016: 454-462 - [c20]Hong Zhu, Bin Wu, Meiyi Xie, Zongmin Cui, Zongda Wu:
Secure Shortest Path Search over Encrypted Graph Supporting Synonym Query in Cloud Computing. Trustcom/BigDataSE/ISPA 2016: 497-504 - 2015
- [j8]Hong Zhu, Shengli Tian, Kevin Lü:
Privacy-Preserving Data Publication with Features of Independent ℓ-Diversity. Comput. J. 58(4): 549-571 (2015) - [j7]Hong Zhu, Shengli Tian, Genyuan Du, Meiyi Xie:
Anonymization on refining partition: Same privacy, more utility. Comput. Sci. Inf. Syst. 12(4): 1193-1216 (2015) - [j6]Hong Zhu, Zhipeng Wang, Kevin Lü, Meiyi Xie, Xiang Zou, Bing Chen:
A distributed scheme for row-based computational private information retrieval. Secur. Commun. Networks 8(8): 1537-1546 (2015) - 2014
- [c19]Hong Zhu, Libo Xia, Meiyi Xie, Ke Yan:
Equi-join for Multiple Datasets Based on Time Cost Evaluation Model. ICA3PP (2) 2014: 122-135 - [c18]Hong Zhu, Shengli Tian, Meiyi Xie, Mengyuan Yang:
Preserving privacy for sensitive values of individuals in data publishing based on a new additive noise approach. ICCCN 2014: 1-6 - [c17]Hong Zhu, Shengli Tian, Meiyi Xie:
Anonymization on refining partition: Same privacy, more utility. ICSAI 2014: 998-1005 - [c16]Hong Zhu, Caicai Zhang, Zhongsheng Cao, Ruiming Tang, Mengyuan Yang:
An Efficient Conditioning Method for Probabilistic Relational Databases. WAIM 2014: 225-236 - 2013
- [j5]Zongmin Cui, Hong Zhu, Lianhua Chi:
Lightweight key management on sensitive data in the cloud. Secur. Commun. Networks 6(10): 1290-1299 (2013) - [c15]Zhipeng Wang, Hong Zhu:
A Client Privacy Preserving Discovery Service Scheme. AINA Workshops 2013: 935-940 - [c14]Jie Shi, Ge Fu, Jian Weng, Hong Zhu:
Analyzing and Controlling Information Inference of Fine-Grained Access Control Policies in Relational Databases. EIDWT 2013: 385-392 - [c13]Ke Yan, Meiyi Xie, Hong Zhu:
Fixed-length string compression for direct operations in column-oriented databases. ICNC 2013: 1171-1176 - [c12]Zongmin Cui, Hong Zhu, Jie Shi, Lianhua Chi, Ke Yan:
Lightweight Management of Authorization Update on Cloud Data. ICPADS 2013: 456-461 - [c11]Ke Yan, Hong Zhu:
Two MRJs for Multi-way Theta-Join in MapReduce. IDCS 2013: 321-332 - 2010
- [j4]Hong Zhu, Ge Fu, Yucai Feng, Kevin Lü:
Dynamic Damage Recovery for Web Databases. J. Comput. Sci. Technol. 25(3): 548-561 (2010) - [j3]Jie Shi, Hong Zhu:
A fine-grained access control model for relational databases. J. Zhejiang Univ. Sci. C 11(8): 575-586 (2010)
2000 – 2009
- 2009
- [j2]Hong Zhu, Kevin Lü, Renchao Jin:
A practical mandatory access control model for XML databases. Inf. Sci. 179(8): 1116-1133 (2009) - [c10]Jie Shi, Hong Zhu, Ge Fu, Tao Jiang:
On the Soundness Property for SQL Queries of Fine-grained Access Control in DBMSs. ACIS-ICIS 2009: 469-474 - [c9]Ge Fu, Hong Zhu, Yingjiu Li:
A Robust Damage Assessment Model for Corrupted Database Systems. ICISS 2009: 237-251 - 2008
- [c8]Meiyi Xie, Hong Zhu, Yucai Feng, Guanrong Hu:
Tracking and Repairing Damaged Databases Using Before Image Table. FCST 2008: 36-41 - [c7]Chenyang Lu, Hong Zhu, Nengchao Wang:
Fast N-Dimensional Hilbert Mapping Algorithm. ICCSA Workshops 2008: 507-513 - [c6]Hong Zhu, Ge Fu, Yi Zhu, Renchao Jin, Kevin Lü, Jie Shi:
Dynamic data recovery for database systems based on fine grained transaction log. IDEAS 2008: 249-253 - [c5]Hong Zhu, Jie Shi, Yuanzhen Wang, Yucai Feng:
Controlling Information Leakage of Fine-Grained Access Model in DBMSs. WAIM 2008: 583-590 - 2007
- [c4]Hong Zhu, Kevin Lü:
Fine-Grained Access Control for Database Management Systems. BNCOD 2007: 215-223 - [c3]Hong Zhu, Jing Cheng, Renchao Jin, Kevin Lü:
Executing Query over Encrypted Character Strings in Databases. FCST 2007: 90-97 - [c2]Hong Zhu, Renchao Jin, Kevin Lü:
A flexible mandatory access control policy for XML databases. Infoscale 2007: 67 - 2006
- [j1]Hong Zhu, Fu Xin, Lin Qiu Hui, Kevin Lu:
The Design and Implementation of a Performance Evaluation Tool with TPC-W Benchmark. J. Comput. Inf. Technol. 14(2): 149-159 (2006) - [c1]Hong Zhu, Sujuan Duan, Fan Hong, Kevin Lü:
An Access-Control Policy Based on Sharing Resource Management for a Multi-domains Environment. ATC 2006: 439-448
Coauthor Index
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