default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDHong Chen 0001
Person information
- affiliation: Renmin University of China, School of Information, Beijing, China
- affiliation: Key Laboratory of Data Engineering and Knowledge Engineering, MOE, Beijing, China
Other persons with the same name
- Hong Chen — disambiguation page
- Hong Chen 0002
![[0000-0003-0774-1410]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0774-1410")
— Tsinghua University, Institute of Microelectronics, TNList, Beijing, China (and 1 more) - Hong Chen 0003 — Jilin University, Department of Control Science and Engineering, China (and 1 more)
- Hong Chen 0004 — Huazhong Agricultural University, Department of Mathematics and Statistics, Wuhan, China (and 2 more)
- Hong Chen 0005 — Michigan State University, Department of Computer Science and Engineering, East Lansing, MI, USA
- Hong Chen 0006 — University of Akron, Department of Chemical and Biomolecular Engineering, OH, USA
- Hong Chen 0007 — Soochow University, School of Mathematical Sciences, Suzhou, China
- Hong Chen 0008 — Erasmus university of Rotterdam, The Netherlands
- Hong Chen 0009 — University of Southampton, UK
- Hong Chen 0010 — Waseda University, Graduate School of Human Sciences, Japan
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j56]Zhonghui Shao, Jing Zhang, Haoyang Li, Xinmei Huang, Chao Zhou, Yuanchun Wang, Jibing Gong, Cuiping Li, Hong Chen:
Authorship style transfer with inverse transfer data augmentation. AI Open 5: 94-103 (2024)- [j55]Yuxin Tang, Suyun Zhao, Hong Chen, Cuiping Li, Junhai Zhai, Qiangjun Zhou:
Fuzzy rough unlearning model for feature selection. Int. J. Approx. Reason. 165: 109102 (2024) - [j54]Pengju Liu, Cui-Ping Li, Hong Chen:
Enhancing Storage Efficiency and Performance: A Survey of Data Partitioning Techniques. J. Comput. Sci. Technol. 39(2): 346-368 (2024) - [j53]Haoyang Li, Jing Zhang, Hanbing Liu, Ju Fan, Xiaokang Zhang, Jun Zhu, Renjie Wei, Hongyan Pan, Cuiping Li, Hong Chen:
CodeS: Towards Building Open-source Language Models for Text-to-SQL. Proc. ACM Manag. Data 2(3): 127 (2024) - [j52]Yuhan Liu, Tianhao Wang, Yixuan Liu, Hong Chen, Cuiping Li:
Edge-Protected Triangle Count Estimation Under Relationship Local Differential Privacy. IEEE Trans. Knowl. Data Eng. 36(10): 5138-5152 (2024) - [c151]Yuxuan Hu, Jing Zhang, Zhe Zhao, Chen Zhao, Xiaodong Chen, Cuiping Li, Hong Chen:
SP³: Enhancing Structured Pruning via PCA Projection. ACL (Findings) 2024: 3150-3170 - [c150]Yixuan Liu, Yuhan Liu, Li Xiong, Yujie Gu, Hong Chen:
Enhanced Privacy Bound for Shuffle Model with Personalized Privacy. CIKM 2024: 3907-3911 - [c149]Pengju Liu, Kai Zhong, Cuiping Li, Hong Chen:
Demonstrating PARS: A Decision Support System for Developing Vertical Partitioning Plans. CIKM 2024: 5249-5253 - [c148]Shasha Guo, Jing Zhang, Xirui Ke, Cuiping Li, Hong Chen:
Diversifying Question Generation over Knowledge Base via External Natural Questions. LREC/COLING 2024: 5096-5108 - [c147]Shasha Guo, Lizi Liao, Jing Zhang, Cuiping Li, Hong Chen:
PCQPR: Proactive Conversational Question Planning with Reflection. EMNLP 2024: 11266-11278 - [c146]Yanling Wang, Jing Zhang, Lingxi Zhang, Lixin Liu, Yuxiao Dong, Cuiping Li, Hong Chen, Hongzhi Yin:
Open-World Semi-Supervised Learning for Node Classification. ICDE 2024: 2723-2736 - [c145]Kai Zhong, Luming Sun, Tao Ji, Cuiping Li, Hong Chen:
FOSS: A Self-Learned Doctor for Query Optimizer. ICDE 2024: 4329-4342 - [c144]Pengju Liu, Pan Cai, Cuiping Li, Hong Chen:
AVPS: Automatic Vertical Partitioning for Dynamic Workload. ICIC (13) 2024: 146-157 - [c143]Shasha Guo, Lizi Liao, Jing Zhang, Yanling Wang, Cuiping Li, Hong Chen:
SGSH: Stimulate Large Language Models with Skeleton Heuristics for Knowledge Base Question Generation. NAACL-HLT (Findings) 2024: 4613-4625 - [i35]Haoyang Li, Jing Zhang, Hanbing Liu, Ju Fan, Xiaokang Zhang, Jun Zhu, Renjie Wei, Hongyan Pan, Cuiping Li, Hong Chen:
CodeS: Towards Building Open-source Language Models for Text-to-SQL. CoRR abs/2402.16347 (2024) - [i34]Yanling Wang, Jing Zhang, Lingxi Zhang, Lixin Liu, Yuxiao Dong, Cuiping Li, Hong Chen, Hongzhi Yin:
Open-World Semi-Supervised Learning for Node Classification. CoRR abs/2403.11483 (2024) - [i33]Shasha Guo, Lizi Liao, Jing Zhang, Yanling Wang, Cuiping Li, Hong Chen:
SGSH: Stimulate Large Language Models with Skeleton Heuristics for Knowledge Base Question Generation. CoRR abs/2404.01923 (2024) - [i32]Xinmei Huang, Haoyang Li, Jing Zhang, Xin Zhao, Zhiming Yao, Yiyan Li, Zhuohao Yu, Tieying Zhang, Hong Chen, Cuiping Li:
LLMTune: Accelerate Database Knob Tuning with Large Language Models. CoRR abs/2404.11581 (2024) - [i31]Yixuan Liu, Li Xiong, Yuhan Liu, Yujie Gu, Ruixuan Liu, Hong Chen:
DPDR: Gradient Decomposition and Reconstruction for Differentially Private Deep Learning. CoRR abs/2406.02744 (2024) - [i30]Jiayang Meng, Tao Huang, Hong Chen, Cuiping Li:
Is Diffusion Model Safe? Severe Data Leakage via Gradient-Guided Diffusion Model. CoRR abs/2406.09484 (2024) - [i29]Lingxi Zhang, Jing Zhang, Yanling Wang, Cuiping Li, Hong Chen:
A Learn-Then-Reason Model Towards Generalization in Knowledge Base Question Answering. CoRR abs/2406.14763 (2024) - [i28]Yixuan Liu, Yuhan Liu, Li Xiong, Yujie Gu, Hong Chen:
Enhanced Privacy Bound for Shuffle Model with Personalized Privacy. CoRR abs/2407.18157 (2024) - [i27]Yiyan Li, Haoyang Li, Pu Zhao, Jing Zhang, Xinyi Zhang, Tao Ji, Luming Sun, Cuiping Li, Hong Chen:
Is Large Language Model Good at Database Knob Tuning? A Comprehensive Experimental Evaluation. CoRR abs/2408.02213 (2024) - [i26]Shasha Guo, Lizi Liao, Jing Zhang, Cuiping Li, Hong Chen:
PCQPR: Proactive Conversational Question Planning with Reflection. CoRR abs/2410.01363 (2024) - 2023
- [j51]Dan Zhao, Suyun Zhao, Hong Chen, Ruixuan Liu, Cui-Ping Li, Xiaoying Zhang:
Hadamard Encoding Based Frequent Itemset Mining under Local Differential Privacy. J. Comput. Sci. Technol. 38(6): 1403-1422 (2023) - [j50]Pan Du, Hui Chen, Suyun Zhao, Shuwen Chai, Hong Chen, Cuiping Li:
Contrastive Active Learning Under Class Distribution Mismatch. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4260-4273 (2023) - [j49]Yabin Zhang, Hairong Lian, Guang Yang, Suyun Zhao, Peng Ni, Hong Chen, Cuiping Li:
Inaccurate-Supervised Learning With Generative Adversarial Nets. IEEE Trans. Cybern. 53(3): 1522-1536 (2023) - [j48]Ruoyang Guo, Bo Qin, Yuncheng Wu, Ruixuan Liu, Hong Chen, Cuiping Li:
LuxGeo: Efficient and Security-Enhanced Geometric Range Queries. IEEE Trans. Knowl. Data Eng. 35(2): 1775-1790 (2023) - [j47]Luming Sun, Cuiping Li, Tao Ji, Hong Chen:
MOSE: A Monotonic Selectivity Estimator Using Learned CDF. IEEE Trans. Knowl. Data Eng. 35(3): 2823-2836 (2023) - [j46]Xue Zhang, Qinghua Li, Cuiping Li, Hong Chen:
ConPhrase: Enhancing Context-Aware Phrase Mining From Text Corpora. IEEE Trans. Knowl. Data Eng. 35(7): 6767-6783 (2023) - [j45]Bowen Hao, Hongzhi Yin, Jing Zhang, Cuiping Li, Hong Chen:
A Multi-strategy-based Pre-training Method for Cold-start Recommendation. ACM Trans. Inf. Syst. 41(2): 31:1-31:24 (2023) - [c142]Yixuan Liu, Suyun Zhao, Li Xiong, Yuhan Liu, Hong Chen:
Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model. AAAI 2023: 11865-11872 - [c141]Haoyang Li, Jing Zhang, Cuiping Li, Hong Chen:
RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQL. AAAI 2023: 13067-13075 - [c140]Lingxi Zhang, Jing Zhang, Yanling Wang, Shulin Cao, Xinmei Huang, Cuiping Li, Hong Chen, Juanzi Li:
FC-KBQA: A Fine-to-Coarse Composition Framework for Knowledge Base Question Answering. ACL (1) 2023: 1002-1017 - [c139]Liangfu Zhang, Cuiping Li, Chuanwen Luo, Hong Chen:
All-Pairs SimRank Updates on Dynamic Graphs. ISPA/BDCloud/SocialCom/SustainCom 2023: 131-138 - [c138]Zeyu Gan, Suyun Zhao, Jinlong Kang, Liyuan Shang, Hong Chen, Cuiping Li:
Superclass Learning with Representation Enhancement. CVPR 2023: 24060-24069 - [c137]Liangfu Zhang, Cuiping Li, Xue Zhang, Hong Chen:
Hierarchical All-Pairs SimRank Calculation. DASFAA (3) 2023: 252-268 - [c136]Yuxuan Hu, Jing Zhang, Haoyang Li, Cuiping Li, Hong Chen:
A Generation-based Deductive Method for Math Word Problems. EMNLP 2023: 1737-1750 - [c135]Pan Du, Suyun Zhao, Zisen Sheng, Cuiping Li, Hong Chen:
Semi-Supervised Learning via Weight-aware Distillation under Class Distribution Mismatch. ICCV 2023: 16364-16374 - [c134]Ruixuan Liu, Yang Cao, Yanlin Wang, Lingjuan Lyu, Yun Chen, Hong Chen:
PrivateRec: Differentially Private Model Training and Online Serving for Federated News Recommendation. KDD 2023: 4539-4548 - [i25]Haoyang Li, Jing Zhang, Cuiping Li, Hong Chen:
RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQL. CoRR abs/2302.05965 (2023) - [i24]Yixuan Liu, Suyun Zhao, Li Xiong, Yuhan Liu, Hong Chen:
Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model. CoRR abs/2304.05516 (2023) - [i23]Lingxi Zhang, Jing Zhang, Yanling Wang, Shulin Cao, Xinmei Huang, Cuiping Li, Hong Chen, Juanzi Li:
FC-KBQA: A Fine-to-Coarse Composition Framework for Knowledge Base Question Answering. CoRR abs/2306.14722 (2023) - [i22]Pan Du, Suyun Zhao, Zisen Sheng, Cuiping Li, Hong Chen:
Semi-Supervised Learning via Weight-aware Distillation under Class Distribution Mismatch. CoRR abs/2308.11874 (2023) - [i21]Yuxuan Hu, Jing Zhang, Chen Zhao, Cuiping Li, Hong Chen:
Transformer Compression via Subspace Projection. CoRR abs/2308.16475 (2023) - [i20]Shasha Guo, Jing Zhang, Xirui Ke, Cuiping Li, Hong Chen:
Diversifying Question Generation over Knowledge Base via External Natural Questions. CoRR abs/2309.14362 (2023) - [i19]Haichao Sha, Ruixuan Liu, Yixuan Liu, Hong Chen:
PCDP-SGD: Improving the Convergence of Differentially Private SGD via Projection in Advance. CoRR abs/2312.03792 (2023) - [i18]Kai Zhong, Luming Sun, Tao Ji, Cuiping Li, Hong Chen:
FOSS: A Self-Learned Doctor for Query Optimizer. CoRR abs/2312.06357 (2023) - 2022
- [j44]Mengwei Xie, Suyun Zhao, Hong Chen, Cuiping Li:
Domain generalization by class-aware negative sampling-based contrastive learning. AI Open 3: 200-207 (2022) - [j43]Dan Zhao, Suyun Zhao, Hong Chen, Ruixuan Liu, Cuiping Li, Wenjuan Liang:
Efficient protocols for heavy hitter identification with local differential privacy. Frontiers Comput. Sci. 16(5): 165825 (2022) - [j42]Bowen Hao, Hongzhi Yin, Cuiping Li, Hong Chen:
Self-supervised graph learning for occasional group recommendation. Int. J. Intell. Syst. 37(12): 10880-10902 (2022) - [j41]Tao Huang, Su-Yun Zhao, Hong Chen, Yi-Xuan Liu:
Improving Parameter Estimation and Defensive Ability of Latent Dirichlet Allocation Model Training Under Rényi Differential Privacy. J. Comput. Sci. Technol. 37(6): 1382-1397 (2022) - [j40]Yinglong Li, Weiru Liu, Yihua Zhu, Hong Chen, Hongbing Cheng, Tieming Chen, Ping Hu, Ruohong Huan:
Privacy-Aware Fuzzy Range Query Processing Over Distributed Edge Devices. IEEE Trans. Fuzzy Syst. 30(5): 1421-1435 (2022) - [j39]Bo Chen, Jing Zhang, Jie Tang, Lingfan Cai, Zhaoyu Wang, Shu Zhao, Hong Chen, Cuiping Li:
CONNA: Addressing Name Disambiguation on the Fly. IEEE Trans. Knowl. Data Eng. 34(7): 3139-3152 (2022) - [c133]Bo Chen, Jing Zhang, Xiaokang Zhang, Xiaobin Tang, Lingfan Cai, Hong Chen, Cuiping Li, Peng Zhang, Jie Tang:
CODE: Contrastive Pre-training with Adversarial Fine-Tuning for Zero-Shot Expert Linking. AAAI 2022: 11846-11854 - [c132]Jing Zhang, Xiaokang Zhang, Jifan Yu, Jian Tang, Jie Tang, Cuiping Li, Hong Chen:
Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering. ACL (1) 2022: 5773-5784 - [c131]Tao Huang, Hong Chen, Suyun Zhao:
FDP-LDA: Inherent Privacy Amplification of Collapsed Gibbs Sampling via Group Subsampling. APWeb/WAIM (3) 2022: 292-300 - [c130]Xirui Ke, Jing Zhang, Xin Lv, Yiqi Xu, Shulin Cao, Cuiping Li, Hong Chen, Juanzi Li:
Knowledge-augmented Self-training of A Question Rewriter for Conversational Knowledge Base Question Answering. EMNLP (Findings) 2022: 1844-1856 - [c129]Shasha Guo, Jing Zhang, Yanling Wang, Qianyi Zhang, Cuiping Li, Hong Chen:
DSM: Question Generation over Knowledge Base via Modeling Diverse Subgraphs with Meta-learner. EMNLP 2022: 4194-4207 - [c128]Dan Zhao, Hong Chen, Suyun Zhao, Ruixuan Liu, Cuiping Li, Xiaoying Zhang:
Fldp: Flexible Strategy For Local Differential Privacy. ICASSP 2022: 2974-2978 - [c127]Luming Sun, Cuiping Li, Tao Ji, Hong Chen:
MOSE: A Monotonic Selectivity Estimator Using Learned CDF (Extended abstract). ICDE 2022: 1489-1490 - [c126]Yuhan Liu, Suyun Zhao, Yixuan Liu, Dan Zhao, Hong Chen, Cuiping Li:
Collecting Triangle Counts with Edge Relationship Local Differential Privacy. ICDE 2022: 2008-2020 - [c125]Hengheng Luo, Yabin Zhang, Suyun Zhao, Hong Chen, Cuiping Li:
Exploring Binary Classification Hidden within Partial Label Learning. IJCAI 2022: 3285-3291 - [c124]Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie:
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices. KDD 2022: 3398-3406 - [c123]Yang Chen, Feng Zhang, Yinhao Hong, Yunpeng Chai, Wei Lu, Hong Chen, Xiaoyong Du, Peipei Wang, Le Mi, Jintao Li, Xilin Tang, Yanliang Zhou, Wei Zhou, Peng Zhang, Fengyi Chen, Pengfei Li, Yu Li:
Taming the Big Data Monster: Managing Petabytes of Data with Multi-Model Databases. SBAC-PAD 2022: 283-292 - [c122]Luming Sun, Tao Ji, Cuiping Li, Hong Chen:
DeepO: A Learned Query Optimizer. SIGMOD Conference 2022: 2421-2424 - [c121]Yanling Wang, Jing Zhang, Haoyang Li, Yuxiao Dong, Hongzhi Yin, Cuiping Li, Hong Chen:
ClusterSCL: Cluster-Aware Supervised Contrastive Learning on Graphs. WWW 2022: 1611-1621 - [i17]Suyun Zhao, Zhi-Gang Dai, Xizhao Wang, Peng Ni, Hengheng Luo, Hong Chen, Cuiping Li:
An Accelerator for Rule Induction in Fuzzy Rough Theory. CoRR abs/2201.03649 (2022) - [i16]Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie:
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices. CoRR abs/2202.08036 (2022) - [i15]Jing Zhang, Xiaokang Zhang, Jifan Yu, Jian Tang, Jie Tang, Cuiping Li, Hong Chen:
Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering. CoRR abs/2202.13296 (2022) - [i14]Dan Zhao, Suyun Zhao, Ruixuan Liu, Cuiping Li, Wenjuan Liang, Hong Chen:
FLDP: Flexible strategy for local differential privacy. CoRR abs/2203.14875 (2022) - [i13]Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Yang Cao, Lingjuan Lyu, Weike Pan, Yun Chen, Hong Chen, Xing Xie:
PrivateRec: Differentially Private Training and Serving for Federated News Recommendation. CoRR abs/2204.08146 (2022) - [i12]Mengdie Wang, Liyuan Shang, Suyun Zhao, Yiming Wang, Hong Chen, Cuiping Li, Xizhao Wang:
Oracle-guided Contrastive Clustering. CoRR abs/2211.00409 (2022) - 2021
- [j38]Peng Ni, Suyun Zhao, Zhi-Gang Dai, Hong Chen, Cui-Ping Li:
Partial Label Learning via Conditional-Label-Aware Disambiguation. J. Comput. Sci. Technol. 36(3): 590-605 (2021) - [j37]Zhenlei Wang, Suyun Zhao, Zheng Li, Hong Chen, Cuiping Li, Yufeng Shen:
Ensemble selection with joint spectral clustering and structural sparsity. Pattern Recognit. 119: 108061 (2021) - [j36]Suyun Zhao, Zhi-Gang Dai, Xizhao Wang, Peng Ni, Hengheng Luo, Hong Chen, Cuiping Li:
An Accelerator for Rule Induction in Fuzzy Rough Theory. IEEE Trans. Fuzzy Syst. 29(12): 3635-3649 (2021) - [j35]Yuncheng Wu, Ke Wang, Ruoyang Guo, Zhilin Zhang, Dan Zhao, Hong Chen, Cuiping Li:
Enhanced Privacy Preserving Group Nearest Neighbor Search. IEEE Trans. Knowl. Data Eng. 33(2): 459-473 (2021) - [j34]Yinglong Li, Fan Liu, Jiaye Zhang, Tieming Chen, Hong Chen, Weiru Liu:
Privacy-Aware Fuzzy Skyline Parking Recommendation Using Edge Traffic Facilities. IEEE Trans. Veh. Technol. 70(10): 9775-9786 (2021) - [c120]Ruixuan Liu, Yang Cao, Hong Chen, Ruoyang Guo, Masatoshi Yoshikawa:
FLAME: Differentially Private Federated Learning in the Shuffle Model. AAAI 2021: 8688-8696 - [c119]Xue Zhang, Qinghua Li, Cuiping Li, Hong Chen:
Automated Context-Aware Phrase Mining from Text Corpora. DASFAA (2) 2021: 20-36 - [c118]Tao Huang, Hong Chen:
Improving Privacy Guarantee and Efficiency of Latent Dirichlet Allocation Model Training Under Differential Privacy. EMNLP (Findings) 2021: 143-152 - [c117]Jingwen Xu, Jing Zhang, Xirui Ke, Yuxiao Dong, Hong Chen, Cuiping Li, Yongbin Liu:
P-INT: A Path-based Interaction Model for Few-shot Knowledge Graph Completion. EMNLP (Findings) 2021: 385-394 - [c116]Yu Feng, Jing Zhang, Gaole He, Wayne Xin Zhao, Lemao Liu, Quan Liu, Cuiping Li, Hong Chen:
A Pretraining Numerical Reasoning Model for Ordinal Constrained Question Answering on Knowledge Base. EMNLP (Findings) 2021: 1852-1861 - [c115]Pan Du, Suyun Zhao, Hui Chen, Shuwen Chai, Hong Chen, Cuiping Li:
Contrastive Coding for Active Learning under Class Distribution Mismatch. ICCV 2021: 8907-8916 - [c114]Qinghua Li, Xue Zhang, Cuiping Li, Hong Chen:
A Unified-Model via Block Coordinate Descent for Learning the Importance of Filter. ICMR 2021: 192-200 - [c113]Yanling Wang, Jing Zhang, Shasha Guo, Hongzhi Yin, Cuiping Li, Hong Chen:
Decoupling Representation Learning and Classification for GNN-based Anomaly Detection. SIGIR 2021: 1239-1248 - [c112]Bowen Hao, Jing Zhang, Hongzhi Yin, Cuiping Li, Hong Chen:
Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation. WSDM 2021: 265-273 - [c111]Qinghua Li, Cuiping Li, Hong Chen:
Filter Pruning via Probabilistic Model-based Optimization for Accelerating Deep Convolutional Neural Networks. WSDM 2021: 653-661 - [i11]Bowen Hao, Hongzhi Yin, Jing Zhang, Cuiping Li, Hong Chen:
Self-supervised Graph Learning for Occasional Group Recommendation. CoRR abs/2112.02274 (2021) - [i10]Bowen Hao, Hongzhi Yin, Jing Zhang, Cuiping Li, Hong Chen:
A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation. CoRR abs/2112.02275 (2021) - [i9]Yu Feng, Jing Zhang, Xiaokang Zhang, Lemao Liu, Cuiping Li, Hong Chen:
Injecting Numerical Reasoning Skills into Knowledge Base Question Answering Models. CoRR abs/2112.06109 (2021) - 2020
- [j33]Wenjuan Liang, Hong Chen, Jing Zhang, Dan Zhao, Cuiping Li:
An effective scheme for top-k frequent itemset mining under differential privacy conditions. Sci. China Inf. Sci. 63(5) (2020) - [j32]Wenjuan Liang, Hong Chen, Ruixuan Liu, Yuncheng Wu, Cuiping Li:
A Pufferfish privacy mechanism for monitoring web browsing behavior under temporal correlations. Comput. Secur. 92: 101754 (2020) - [j31]Ye Liu, Lidi Zheng, Yeliang Xiu, Hong Yin, Suyun Zhao, Xizhao Wang, Hong Chen, Cuiping Li:
Discernibility matrix based incremental feature selection on fused decision tables. Int. J. Approx. Reason. 118: 1-26 (2020) - [j30]Shaoqing Wang, Cuiping Li, Zheng Wang, Hong Chen, Kai Zheng:
BPF++: A Unified Factorization model for predicting retweet behaviors. Inf. Sci. 515: 218-232 (2020) - [j29]Peng Ni, Suyun Zhao, Xizhao Wang, Hong Chen, Cuiping Li, Eric C. C. Tsang:
Incremental feature selection based on fuzzy rough sets. Inf. Sci. 536: 185-204 (2020) - [j28]Zhijun Xiao, Cuiping Li, Hong Chen:
PatternRank+NN: A Ranking Framework Bringing User Behaviors into Entity Set Expansion from Web Search Queries. ACM Trans. Web 14(3): 10:1-10:15 (2020) - [c110]Bowen Hao, Jing Zhang, Cuiping Li, Hong Chen:
Few-Shot Representation Learning for Cold-Start Users and Items. APWeb/WAIM (1) 2020: 363-377 - [c109]Ruixuan Liu, Yang Cao, Masatoshi Yoshikawa, Hong Chen:
FedSel: Federated SGD Under Local Differential Privacy with Top-k Dimension Selection. DASFAA (1) 2020: 485-501 - [c108]Yanling Wang, Cuiping Li, Jing Zhang, Peng Ni, Hong Chen:
Graph Convolutional Network Using a Reliability-Based Feature Aggregation Mechanism. DASFAA (1) 2020: 536-552 - [c107]Yabin Zhang, Guang Yang, Suyun Zhao, Peng Ni, Hairong Lian, Hong Chen, Cuiping Li:
Partial Label Learning via Generative Adversarial Nets. ECAI 2020: 1674-1681 - [c106]Xiaobin Tang, Jing Zhang, Bo Chen, Yang Yang, Hong Chen, Cuiping Li:
BERT-INT: A BERT-based Interaction Model For Knowledge Graph Alignment. IJCAI 2020: 3174-3180 - [c105]Bo Chen, Jing Zhang, Xiaobin Tang, Hong Chen, Cuiping Li:
JarKA: Modeling Attribute Interactions for Cross-lingual Knowledge Alignment. PAKDD (1) 2020: 845-856 - [c104]Kankan Zhao, Jing Zhang, Liangfu Zhang, Cuiping Li, Hong Chen:
A Distributed Coordinate Descent Algorithm for Learning Factorization Machine. PAKDD (2) 2020: 881-893 - [c103]Bowen Hao, Jing Zhang, Cuiping Li, Hong Chen, Hongzhi Yin:
Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach. ECML/PKDD (4) 2020: 36-51 - [c102]Qinghua Li, Cuiping Li, Hong Chen:
Incremental Filter Pruning via Random Walk for Accelerating Deep Convolutional Neural Networks. WSDM 2020: 358-366 - [i8]Ruixuan Liu, Yang Cao, Masatoshi Yoshikawa, Hong Chen:
FedSel: Federated SGD under Local Differential Privacy with Top-k Dimension Selection. CoRR abs/2003.10637 (2020) - [i7]Ruixuan Liu, Yang Cao, Hong Chen, Ruoyang Guo, Masatoshi Yoshikawa:
FLAME: Differentially Private Federated Learning in the Shuffle Model. CoRR abs/2009.08063 (2020) - [i6]Bowen Hao, Jing Zhang, Hongzhi Yin, Cuiping Li, Hong Chen:
Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation. CoRR abs/2012.07064 (2020) - [i5]