Hong Zhu - RankMe

90 papers A* 6A 6B 2C 2Misc 2Journal 47Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models. Trans. Recomm. Syst. Yunjia Xi, Weiwen Liu, Jianghao Lin, Muyan Weng, Xiaoling Cai, Hong Zhu, Jieming Zhu, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang
2026	J	`jnl`	FuXi-Linear: Unleashing the Power of Linear Attention in Long-term Time-aware Sequential Recommendation. CoRR Yufei Ye, Wei Guo, Hao Wang, Luankang Zhang, Heng Chang, Hong Zhu, Yuyang Ye, Yong Liu, Defu Lian, Enhong Chen
2026	J	`jnl`	Lifelong knowledge graph embedding via diffusion model. Neural Networks Deyu Chen, Caicai Guo, Qiyuan Li, Jinguang Gu, Meiyi Xie, Hong Zhu
2025	J	`jnl`	An efficient knowledge graph storage framework with adaptive query processing and online updating. World Wide Web (WWW) Yi Jin, Deyu Chen, Hong Zhu, Meiyi Xie
2025	J	`jnl`	DGMSCL: A dynamic graph mixed supervised contrastive learning approach for class imbalanced multivariate time series classification. Neural Networks Lipeng Qian, Qiong Zuo, Dahu Li, Hong Zhu
2025	—	`conf`	FuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer. WWW (Companion Volume) Yufei Ye, Wei Guo, Jin Yao Chin, Hao Wang, Hong Zhu, Xi Lin, Yuyang Ye, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
2025	J	`jnl`	FuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer. CoRR Yufei Ye, Wei Guo, Jin Yao Chin, Hao Wang, Hong Zhu, Xi Lin, Yuyang Ye, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
2025	J	`jnl`	FuXi-β: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model. CoRR Yufei Ye, Wei Guo, Hao Wang, Hong Zhu, Yuyang Ye, Yong Liu, Huifeng Guo, Ruiming Tang, Defu Lian, Enhong Chen
2025	J	`jnl`	Multi-level aggregation based federated few-shot learning. Neurocomputing Mingyue Li, Hong Zhu, Erxi Wang, Deyu Chen, Meiyi Xie
2025	J	`jnl`	Multimodal Chaotification Model With Hardware Implementation. IEEE Trans. Ind. Electron. Zhiqiang Zhang, Hong Zhu, Pengxin Ban, Yong Wang, Leo Yu Zhang
2024	J	`jnl`	A Practice-Friendly Two-Stage LLM-Enhanced Paradigm in Sequential Recommendation. CoRR Dugang Liu, Shenxian Xian, Xiaolin Lin, Xiaolian Zhang, Hong Zhu, Yuan Fang, Zhen Chen, Zhong Ming
2024	—	`conf`	Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty. WWW (Companion Volume) Peijie Sun, Yifan Wang, Min Zhang, Chuhan Wu, Yan Fang, Hong Zhu, Yuan Fang, Meng Wang
2024	J	`jnl`	Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty. CoRR Peijie Sun, Yifan Wang, Min Zhang, Chuhan Wu, Yan Fang, Hong Zhu, Yuan Fang, Meng Wang
2024	A	`conf`	Confidence-Aware Multi-Field Model Calibration. CIKM Yuang Zhao, Chuhan Wu, Qinglin Jia, Hong Zhu, Jia Yan, Libin Zong, Linxuan Zhang, Zhenhua Dong, Muyu Zhang
2024	J	`jnl`	Confidence-Aware Multi-Field Model Calibration. CoRR Yuang Zhao, Chuhan Wu, Qinglin Jia, Hong Zhu, Jia Yan, Libin Zong, Linxuan Zhang, Zhenhua Dong, Muyu Zhang
2024	J	`jnl`	Differential privacy may have a potential optimization effect on some swarm intelligence algorithms besides privacy-preserving. Inf. Sci. Zhiqiang Zhang, Hong Zhu, Meiyi Xie
2024	J	`jnl`	Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models. CoRR Yunjia Xi, Weiwen Liu, Jianghao Lin, Muyan Weng, Xiaoling Cai, Hong Zhu, Jieming Zhu, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang
2024	J	`jnl`	LIBER: Lifelong User Behavior Modeling Based on Large Language Models. CoRR Chenxu Zhu, Shigang Quan, Bo Chen, Jianghao Lin, Xiaoling Cai, Hong Zhu, Xiangyang Li, Yunjia Xi, Weinan Zhang, Ruiming Tang
2024	A	`conf`	Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models. RecSys Yunjia Xi, Weiwen Liu, Jianghao Lin, Xiaoling Cai, Hong Zhu, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
2024	—	`conf`	Unaligned Federated Knowledge Graph Embedding. ISWC (1) Deyu Chen, Hong Zhu, Jinguang Gu, Rusi Chen, Meiyi Xie
2023	J	`jnl`	Buffeting Chaotification Model for Enhancing Chaos and Its Hardware Implementation. IEEE Trans. Ind. Electron. Zhiqiang Zhang, Hong Zhu, Pengxin Ban, Yong Wang, Leo Yu Zhang
2023	J	`jnl`	Contrastive Multi-view Framework for Customer Lifetime Value Prediction. CoRR Chuhan Wu, Jingjie Li, Qinglin Jia, Hong Zhu, Yuan Fang, Ruiming Tang
2023	A*	`conf`	DIWIFT: Discovering Instance-wise Influential Features for Tabular Data. WWW Dugang Liu, Pengxiang Cheng, Hong Zhu, Xing Tang, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He
2023	J	`jnl`	Debiased Representation Learning in Recommendation via Information Bottleneck. Trans. Recomm. Syst. Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
2023	J	`jnl`	Differential Privacy May Have a Potential Optimization Effect on Some Swarm Intelligence Algorithms besides Privacy-preserving. CoRR Zhiqiang Zhang, Hong Zhu, Meiyi Xie
2023	—	`conf`	Item-Oriented Personalized LDP for Discrete Distribution Estimation. ESORICS (2) Xin Li, Hong Zhu, Zhiqiang Zhang, Meiyi Xie
2023	J	`jnl`	Robust Long-Tailed Learning via Label-Aware Bounded CVaR. CoRR Hong Zhu, Runpeng Yu, Xing Tang, Yifei Wang, Yuan Fang, Yisen Wang
2022	J	`jnl`	DIWIFT: Discovering Instance-wise Influential Features for Tabular Data. CoRR Pengxiang Cheng, Hong Zhu, Xing Tang, Dugang Liu, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He
2022	J	`jnl`	Group-based recurrent neural network for human mobility prediction. Neural Comput. Appl. Shengren Ke, Meiyi Xie, Hong Zhu, Zhongsheng Cao
2022	A*	`conf`	Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors. NeurIPS Qixun Wang, Yifei Wang, Hong Zhu, Yisen Wang
2022	J	`jnl`	Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors. CoRR Qixun Wang, Yifei Wang, Hong Zhu, Yisen Wang
2022	A	`conf`	OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction. CIKM Fuyuan Lyu, Xing Tang, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Xue Liu
2022	J	`jnl`	OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction. CoRR Fuyuan Lyu, Xing Tang, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Xue Liu
2022	A*	`conf`	Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. AAAI Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He
2022	J	`jnl`	Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. CoRR Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He
2021	J	`jnl`	An effective and efficient fuzzy approach for managing natural noise in recommender systems. Inf. Sci. Pengyu Wang, Yong Wang, Leo Yu Zhang, Hong Zhu
2021	—	`conf`	CTP: Correlated Trajectory Publication with Differential Privacy. ICCCS Yunkai Yu, Hong Zhu, Meiyi Xie
2021	A	`conf`	Mitigating Confounding Bias in Recommendation via Information Bottleneck. RecSys Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
2021	J	`jnl`	Non-invasive Self-attention for Side Information Fusion in Sequential Recommendation. CoRR Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, Lifeng Shang
2021	A*	`conf`	Noninvasive Self-attention for Side Information Fusion in Sequential Recommendation. AAAI Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, Lifeng Shang
2021	J	`jnl`	Quantifying Location Privacy Risks Under Heterogeneous Correlations. IEEE Access Bing Li, Hong Zhu, Meiyi Xie
2020	A	`conf`	Counterfactual learning for recommender system. RecSys Zhenhua Dong, Hong Zhu, Pengxiang Cheng, Xinhua Feng, Guohao Cai, Xiuqiang He, Jun Xu, Jirong Wen
2020	A*	`conf`	Influence Function for Unbiased Recommendation. SIGIR Jiangxing Yu, Hong Zhu, Chih-Yao Chang, Xinhua Feng, Bo-Wen Yuan, Xiuqiang He, Zhenhua Dong
2020	A*	`conf`	Less Is Better: Unweighted Data Subsampling via Influence Function. AAAI Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang
2019	—	`conf`	A spatial text query scheme based on semantic-aware. HP3C Hongbo Li, Hong Zhu, Zongmin Cui
2019	J	`jnl`	DP-FT: A Differential Privacy Graph Generation With Field Theory for Social Network Data Release. IEEE Access Hong Zhu, Xin Zuo, Meiyi Xie
2019	A	`conf`	Improving Ad Click Prediction by Considering Non-displayed Events. CIKM Bo-Wen Yuan, Jui-Yang Hsia, Mengyuan Yang, Hong Zhu, Chih-Yao Chang, Zhenhua Dong, Chih-Jen Lin
2019	—	`conf`	LISC: Location Inference Attack Enhanced by Spatial-Temporal-Social Correlations. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Bing Li, Hong Zhu, Meiyi Xie
2019	J	`jnl`	Less Is Better: Unweighted Data Subsampling via Influence Function. CoRR Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang
2018	J	`jnl`	EFTG: Efficient and Flexible Top-K Geo-textual Publish/Subscribe. KSII Trans. Internet Inf. Syst. Hong Zhu, Hongbo Li, Zongmin Cui, Zhongsheng Cao, Meiyi Xie
2018	J	`jnl`	Executing multi-dimensional range query efficiently and flexibly over outsourced ciphertexts in the cloud. Inf. Sci. Zhuolin Mei, Hong Zhu, Zongmin Cui, Zongda Wu, Gang Peng, Bin Wu, Caicai Zhang
2017	—	`conf`	Convenient Top-k Location-Text Publish/Subscribe Scheme. ISICA (2) Hong Zhu, Hongbo Li, Zongmin Cui, Zhongsheng Cao, Meiyi Xie
2017	—	`conf`	Fuzzy Keyword Search and Access Control over Ciphertexts in Cloud Computing. ACISP (1) Hong Zhu, Zhuolin Mei, Bing Wu, Hongbo Li, Zongmin Cui
2017	—	`conf`	Query Optimization Strategies in Probabilistic Relational Databases. NCTCS Caicai Zhang, Zhongsheng Cao, Hong Zhu
2017	J	`jnl`	Tenant-based access control model for multi-tenancy and sub-tenancy architecture in Software-as-a-Service. Frontiers Comput. Sci. Qiong Zuo, Meiyi Xie, Guanqiu Qi, Hong Zhu
2016	—	`conf`	An Efficient Initialization Method for Probabilistic Relational Databases. DEXA (2) Hong Zhu, Caicai Zhang, Zhongsheng Cao
2016	J	`jnl`	Efficient authorisation update on cloud data. Int. J. Web Grid Serv. Zongmin Cui, Hong Zhu, Jie Shi, Lianhua Chi, Ke Yan
2016	J	`jnl`	Identity-based key management for cloud computing. Secur. Commun. Networks Hong Zhu, Zhuolin Mei, Meiyi Xie
2016	J	`jnl`	On efficient conditioning of probabilistic relational databases. Knowl. Based Syst. Hong Zhu, Caicai Zhang, Zhongsheng Cao, Ruiming Tang
2016	J	`jnl`	Privacy-assured Boolean Adjacent Vertex Search over Encrypted Graph Data in Cloud Computing. KSII Trans. Internet Inf. Syst. Hong Zhu, Bin Wu, Meiyi Xie, Zongmin Cui
2016	J	`jnl`	Privacy-preserving ranked neighbor query over encrypted graph data in the cloud. Secur. Commun. Networks Hong Zhu, Bin Wu, Meiyi Xie
2016	—	`conf`	Secure Shortest Path Search over Encrypted Graph Supporting Synonym Query in Cloud Computing. Trustcom/BigDataSE/ISPA Hong Zhu, Bin Wu, Meiyi Xie, Zongmin Cui, Zongda Wu
2016	J	`jnl`	VParC: a compression scheme for numeric data in column-oriented databases. Int. Arab J. Inf. Technol. Ke Yan, Hong Zhu, Kevin Lü
2015	J	`jnl`	A distributed scheme for row-based computational private information retrieval. Secur. Commun. Networks Hong Zhu, Zhipeng Wang, Kevin Lü, Meiyi Xie, Xiang Zou, Bing Chen
2015	J	`jnl`	Anonymization on refining partition: Same privacy, more utility. Comput. Sci. Inf. Syst. Hong Zhu, Shengli Tian, Genyuan Du, Meiyi Xie
2015	J	`jnl`	Privacy-Preserving Data Publication with Features of Independent ℓ-Diversity. Comput. J. Hong Zhu, Shengli Tian, Kevin Lü
2014	—	`conf`	An Efficient Conditioning Method for Probabilistic Relational Databases. WAIM Hong Zhu, Caicai Zhang, Zhongsheng Cao, Ruiming Tang, Mengyuan Yang
2014	—	`conf`	Anonymization on refining partition: Same privacy, more utility. ICSAI Hong Zhu, Shengli Tian, Meiyi Xie
2014	—	`conf`	Equi-join for Multiple Datasets Based on Time Cost Evaluation Model. ICA3PP (2) Hong Zhu, Libo Xia, Meiyi Xie, Ke Yan
2014	B	`conf`	Preserving privacy for sensitive values of individuals in data publishing based on a new additive noise approach. ICCCN Hong Zhu, Shengli Tian, Meiyi Xie, Mengyuan Yang
2013	—	`conf`	A Client Privacy Preserving Discovery Service Scheme. AINA Workshops Zhipeng Wang, Hong Zhu
2013	—	`conf`	Analyzing and Controlling Information Inference of Fine-Grained Access Control Policies in Relational Databases. EIDWT Jie Shi, Ge Fu, Jian Weng, Hong Zhu
2013	Misc	`conf`	Fixed-length string compression for direct operations in column-oriented databases. ICNC Ke Yan, Meiyi Xie, Hong Zhu
2013	B	`conf`	Lightweight Management of Authorization Update on Cloud Data. ICPADS Zongmin Cui, Hong Zhu, Jie Shi, Lianhua Chi, Ke Yan
2013	J	`jnl`	Lightweight key management on sensitive data in the cloud. Secur. Commun. Networks Zongmin Cui, Hong Zhu, Lianhua Chi
2013	—	`conf`	Two MRJs for Multi-way Theta-Join in MapReduce. IDCS Ke Yan, Hong Zhu
2010	J	`jnl`	A fine-grained access control model for relational databases. J. Zhejiang Univ. Sci. C Jie Shi, Hong Zhu
2010	J	`jnl`	Dynamic Damage Recovery for Web Databases. J. Comput. Sci. Technol. Hong Zhu, Ge Fu, Yucai Feng, Kevin Lü
2009	Misc	`conf`	A Robust Damage Assessment Model for Corrupted Database Systems. ICISS Ge Fu, Hong Zhu, Yingjiu Li
2009	J	`jnl`	A practical mandatory access control model for XML databases. Inf. Sci. Hong Zhu, Kevin Lü, Renchao Jin
2009	—	`conf`	On the Soundness Property for SQL Queries of Fine-grained Access Control in DBMSs. ACIS-ICIS Jie Shi, Hong Zhu, Ge Fu, Tao Jiang
2008	—	`conf`	Controlling Information Leakage of Fine-Grained Access Model in DBMSs. WAIM Hong Zhu, Jie Shi, Yuanzhen Wang, Yucai Feng
2008	C	`conf`	Dynamic data recovery for database systems based on fine grained transaction log. IDEAS Hong Zhu, Ge Fu, Yi Zhu, Renchao Jin, Kevin Lü, Jie Shi
2008	—	`conf`	Fast N-Dimensional Hilbert Mapping Algorithm. ICCSA Workshops Chenyang Lu, Hong Zhu, Nengchao Wang
2008	—	`conf`	Tracking and Repairing Damaged Databases Using Before Image Table. FCST Meiyi Xie, Hong Zhu, Yucai Feng, Guanrong Hu
2007	—	`conf`	A flexible mandatory access control policy for XML databases. Infoscale Hong Zhu, Renchao Jin, Kevin Lü
2007	—	`conf`	Executing Query over Encrypted Character Strings in Databases. FCST Hong Zhu, Jing Cheng, Renchao Jin, Kevin Lü
2007	—	`conf`	Fine-Grained Access Control for Database Management Systems. BNCOD Hong Zhu, Kevin Lü
2006	C	`conf`	An Access-Control Policy Based on Sharing Resource Management for a Multi-domains Environment. ATC Hong Zhu, Sujuan Duan, Fan Hong, Kevin Lü
2006	J	`jnl`	The Design and Implementation of a Performance Evaluation Tool with TPC-W Benchmark. J. Comput. Inf. Technol. Hong Zhu, Fu Xin, Lin Qiu Hui, Kevin Lu