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2020 – today
- 2024
[j21]Xiaohui Yu
, Jinfei Liu:
Special Issue on Data Economy and Data Marketplaces. IEEE Internet Comput. 28(4): 5-6 (2024)- [j20]Peng Sun, Liantao Wu, Zhibo Wang, Jinfei Liu, Juan Luo, Wenqiang Jin:
A Profit-Maximizing Data Marketplace with Differentially Private Federated Learning under Price Competition. Proc. ACM Manag. Data 2(4): 191:1-191:27 (2024) - [j19]Haocheng Xia, Xiang Li, Junyuan Pang, Jinfei Liu, Kui Ren, Li Xiong:
P-Shapley: Shapley Values on Probabilistic Classifiers. Proc. VLDB Endow. 17(7): 1737-1750 (2024) - [j18]Yiding Zhu, Hongwei Zhang, Jiayao Zhang, Jinfei Liu, Kui Ren:
DataPrice: An Interactive System for Pricing Datasets in Data Marketplaces. Proc. VLDB Endow. 17(12): 4433-4436 (2024) - [j17]Xiaochen Li, Weiran Liu, Hanwen Feng, Kunzhe Huang, Yuke Hu, Jinfei Liu, Kui Ren, Zhan Qin:
Privacy Enhancement Via Dummy Points in the Shuffle Model. IEEE Trans. Dependable Secur. Comput. 21(3): 1001-1016 (2024) - [j16]Qiheng Sun, Jiayao Zhang, Jinfei Liu, Li Xiong, Jian Pei, Kui Ren:
Shapley Value Approximation Based on Complementary Contribution. IEEE Trans. Knowl. Data Eng. 36(12): 9263-9281 (2024) - [c31]Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng:
Cross-silo Federated Learning with Record-level Personalized Differential Privacy. CCS 2024: 303-317 - [c30]Yihao Zheng, Haocheng Xia, Junyuan Pang, Jinfei Liu, Kui Ren, Lingyang Chu, Yang Cao, Li Xiong:
TabularMark: Watermarking Tabular Datasets for Machine Learning. CCS 2024: 3570-3584 - [c29]Shang Liu, Yang Cao, Takao Murakami, Jinfei Liu, Masatoshi Yoshikawa:
CARGO: Crypto-Assisted Differentially Private Triangle Counting Without Trusted Servers. ICDE 2024: 1671-1684 - [c28]Yuran Bi, Jinfei Liu, Chen Zhao, Junyi Zhao, Kui Ren, Li Xiong:
Share: Stackelberg-Nash based Data Markets. ICDE 2024: 3573-3586 - [c27]Yuran Bi, Yihang Wu, Jinfei Liu, Kui Ren, Li Xiong:
When Data Pricing Meets Non-Cooperative Game Theory. ICDE 2024: 5548-5559 - [i20]Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng:
Cross-silo Federated Learning with Record-level Personalized Differential Privacy. CoRR abs/2401.16251 (2024) - [i19]Shang Liu, Yang Cao, Takao Murakami, Weiran Liu, Seng Pei Liew, Tsubasa Takahashi, Jinfei Liu, Masatoshi Yoshikawa:
Federated Graph Analytics with Differential Privacy. CoRR abs/2405.20576 (2024) - [i18]Yihao Zheng, Haocheng Xia, Junyuan Pang, Jinfei Liu, Kui Ren, Lingyang Chu, Yang Cao, Li Xiong:
TabularMark: Watermarking Tabular Datasets for Machine Learning. CoRR abs/2406.14841 (2024) - [i17]Xinyu Peng, Feng Han, Li Peng, Weiran Liu, Zheng Yan, Kai Kang, Xinyuan Zhang, Guoxing Wei, Jianling Sun, Jinfei Liu:
MapComp: A Secure View-based Collaborative Analytics Framework for Join-Group-Aggregation. CoRR abs/2408.01246 (2024) - [i16]Shang Liu, Hao Du, Yang Cao, Bo Yan, Jinfei Liu, Masatoshi Yoshikawa:
PGB: Benchmarking Differentially Private Synthetic Graph Generation Algorithms. CoRR abs/2408.02928 (2024) - 2023
- [j15]Jiayao Zhang, Qiheng Sun, Jinfei Liu, Li Xiong, Jian Pei, Kui Ren:
Efficient Sampling Approaches to Shapley Value Approximation. Proc. ACM Manag. Data 1(1): 48:1-48:24 (2023) - [j14]Haocheng Xia, Jinfei Liu, Jian Lou, Zhan Qin, Kui Ren, Yang Cao, Li Xiong:
Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets. Proc. VLDB Endow. 16(11): 3349-3362 (2023) - [c26]Jiayao Zhang, Haocheng Xia, Qiheng Sun, Jinfei Liu, Li Xiong, Jian Pei, Kui Ren:
Dynamic Shapley Value Computation. ICDE 2023: 639-652 - [c25]Qiongqiong Lin, Yunfan Gu, Jingyan Sai, Jinfei Liu, Kui Ren, Li Xiong, Tianzhen Wang, Yanbei Pang, Sheng Wang, Feifei Li:
EulerFD: An Efficient Double-Cycle Approximation of Functional Dependencies. ICDE 2023: 2878-2891 - [c24]Qiheng Sun, Xiang Li, Jiayao Zhang, Li Xiong, Weiran Liu, Jinfei Liu, Zhan Qin, Kui Ren:
ShapleyFL: Robust Federated Learning Based on Shapley Value. KDD 2023: 2096-2108 - [c23]Pengyun Zhu, Long Wen, Jinfei Liu, Feng Xue, Jian Lou, Zhibo Wang, Kui Ren:
CAPP-130: A Corpus of Chinese Application Privacy Policy Summarization and Interpretation. NeurIPS 2023 - [c22]Yuke Hu, Wei Liang, Ruofan Wu, Kai Xiao, Weiqiang Wang, Xiaochen Li, Jinfei Liu, Zhan Qin:
Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding. WWW 2023: 2306-2317 - [i15]Yuke Hu, Wei Liang, Ruofan Wu, Kai Xiao, Weiqiang Wang, Xiaochen Li, Jinfei Liu, Zhan Qin:
Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding. CoRR abs/2304.02932 (2023) - [i14]Xiang Li, Haocheng Xia, Jinfei Liu:
Shapley Value on Probabilistic Classifiers. CoRR abs/2306.07171 (2023) - [i13]Shang Liu, Yang Cao, Takao Murakami, Jinfei Liu, Masatoshi Yoshikawa:
CARGO: Crypto-Assisted Differentially Private Triangle Counting without Trusted Servers. CoRR abs/2312.12938 (2023) - [i12]Hanxi Liu, Xiaokai Mao, Haocheng Xia, Jian Lou, Jinfei Liu:
Prompt Valuation Based on Shapley Values. CoRR abs/2312.15395 (2023) - 2022
- [j13]Wenhui Yu, Xiao Lin, Jinfei Liu, Junfeng Ge, Wenwu Ou, Zheng Qin:
Self-Propagation Graph Neural Network for Recommendation. IEEE Trans. Knowl. Data Eng. 34(12): 5993-6002 (2022) - 2021
- [j12]Jinfei Liu, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun:
Dealer: An End-to-End Model Marketplace with Differential Privacy. Proc. VLDB Endow. 14(6): 957-969 (2021) - [j11]Jinfei Liu, Qiongqiong Lin, Jiayao Zhang, Kui Ren, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun:
Demonstration of Dealer: An End-to-End Model Marketplace with Differential Privacy. Proc. VLDB Endow. 14(12): 2747-2750 (2021) - [j10]Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng:
Projected Federated Averaging with Heterogeneous Differential Privacy. Proc. VLDB Endow. 15(4): 828-840 (2021) - [j9]Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei, Jun Luo, Yuzhang Guo, Shuaicheng Ma, Chenglin Fan:
Skyline Diagram: Efficient Space Partitioning for Skyline Queries. IEEE Trans. Knowl. Data Eng. 33(1): 271-286 (2021) - [j8]Jinfei Liu, Li Xiong, Jian Pei, Jun Luo, Haoyu Zhang, Wenhui Yu:
Group-Based Skyline for Pareto Optimal Groups. IEEE Trans. Knowl. Data Eng. 33(7): 2914-2929 (2021) - [j7]Wenhui Yu, Xiangnan He, Jian Pei, Xu Chen, Li Xiong, Jinfei Liu, Zheng Qin:
Visually aware recommendation with aesthetic features. VLDB J. 30(4): 495-513 (2021) - [c21]Jinfei Liu, Li Xiong, Qiuchen Zhang, Jian Pei, Jun Luo:
Eclipse: Generalizing kNN and Skyline. ICDE 2021: 972-983 - 2020
- [j6]Wenhui Yu, Jinfei Liu, Jian Pei, Li Xiong, Xu Chen, Zheng Qin:
Efficient Contour Computation of Group-Based Skyline. IEEE Trans. Knowl. Data Eng. 32(7): 1317-1332 (2020) - [c20]Yang Cao, Yonghui Xiao, Shun Takagi, Li Xiong, Masatoshi Yoshikawa, Yilin Shen, Jinfei Liu, Hongxia Jin, Xiaofeng Xu:
PGLP: Customizable and Rigorous Location Privacy Through Policy Graph. ESORICS (1) 2020: 655-676 - [i11]Jinfei Liu:
Absolute Shapley Value. CoRR abs/2003.10076 (2020) - [i10]Jinfei Liu:
Dealer: End-to-End Data Marketplace with Model-based Pricing. CoRR abs/2003.13103 (2020) - [i9]Yang Cao, Yonghui Xiao, Shun Takagi, Li Xiong, Masatoshi Yoshikawa, Yilin Shen, Jinfei Liu, Hongxia Jin, Xiaofeng Xu:
Customizable and Rigorous Location Privacy through Policy Graph. CoRR abs/2005.01263 (2020)
2010 – 2019
- 2019
- [j5]Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei:
Secure and Efficient Skyline Queries on Encrypted Data. IEEE Trans. Knowl. Data Eng. 31(7): 1397-1411 (2019) - [c19]Jinfei Liu, Li Xiong, Jian Pei, Jun Luo, Haoyu Zhang, Si Zhang:
SkyRec: Finding Pareto Optimal Groups. CIKM 2019: 2913-2916 - [i8]Wenhui Yu, Jinfei Liu, Jian Pei, Li Xiong, Xu Chen, Zheng Qin:
Efficient Contour Computation of Group-based Skyline. CoRR abs/1905.00700 (2019) - [i7]Wenhui Yu, Xiangnan He, Jian Pei, Xu Chen, Li Xiong, Jinfei Liu, Zheng Qin:
Visually-aware Recommendation with Aesthetic Features. CoRR abs/1905.02009 (2019) - [i6]Jinfei Liu, Li Xiong, Qiuchen Zhang, Jian Pei, Jun Luo:
Eclipse: Generalizing kNN and Skyline. CoRR abs/1906.06314 (2019) - 2018
- [c18]Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei, Jun Luo:
Skyline Diagram: Finding the Voronoi Counterpart for Skyline Queries. ICDE 2018: 653-664 - [i5]Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei:
Secure and Efficient Skyline Queries on Encrypted Data. CoRR abs/1806.01168 (2018) - [i4]Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei, Jun Luo, Yuzhang Guo, Shuaicheng Ma, Chenglin Fan:
Skyline Diagram: Efficient Space Partitioning for Skyline Queries. CoRR abs/1812.01663 (2018) - 2017
- [c17]Wenhui Yu, Zheng Qin, Jinfei Liu, Li Xiong, Xu Chen, Huidi Zhang:
Fast Algorithms for Pareto Optimal Group-based Skyline. CIKM 2017: 417-426 - [c16]Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei:
Secure Skyline Queries on Cloud Platform. ICDE 2017: 633-644 - [i3]Jinfei Liu, Li Xiong, Qiuchen Zhang, Jun Luo:
Eclipse: Practicability Beyond 1NN and Skyline. CoRR abs/1707.01223 (2017) - 2016
- [i2]Yonghui Xiao, Yilin Shen, Jinfei Liu, Li Xiong, Hongxia Jin, Xiaofeng Xu:
DPHMM: Customizable Data Release with Differential Privacy via Hidden Markov Model. CoRR abs/1609.09172 (2016) - 2015
- [j4]Jinfei Liu, Li Xiong, Jian Pei, Jun Luo, Haoyu Zhang:
Finding Pareto Optimal Groups: Group-based Skyline. Proc. VLDB Endow. 8(13): 2086-2097 (2015) - [c15]Haoran Li, Li Xiong, Xiaoqian Jiang, Jinfei Liu:
Differentially Private Histogram Publication for Dynamic Datasets: an Adaptive Sampling Approach. CIKM 2015: 1001-1010 - [c14]Jinfei Liu, Haoyu Zhang, Li Xiong, Haoran Li, Jun Luo:
Finding Probabilistic k-Skyline Sets on Uncertain Data. CIKM 2015: 1511-1520 - [c13]Xiaofeng Xu, Li Xiong, Jinfei Liu:
Database Fragmentation with Confidentiality Constraints: A Graph Search Approach. CODASPY 2015: 263-270 - [c12]Xiaofeng Xu, Li Xiong, Vaidy S. Sunderam, Jinfei Liu, Jun Luo:
VPIndexer: velocity-based partitioning for indexing moving objects. SIGSPATIAL/GIS 2015: 88:1-88:4 - [c11]Xiaofeng Xu, Li Xiong, Vaidy S. Sunderam, Jinfei Liu, Jun Luo:
Speed Partitioning for Indexing Moving Objects. SSTD 2015: 216-234 - [c10]Jinfei Liu, Li Xiong:
Secure Similarity Queries: Enabling Precision Medicine with Privacy. Big-O(Q)/DMAH@VLDB 2015: 61-70 - 2014
- [j3]Jinfei Liu, Li Xiong, Xiaofeng Xu:
Faster output-sensitive skyline computation algorithm. Inf. Process. Lett. 114(12): 710-713 (2014) - [c9]Jun Luo, Jinfei Liu, Li Xiong:
Privacy Preserving Publication of Locations Based on Delaunay Triangulation. PAKDD (1) 2014: 594-605 - [i1]Xiaofeng Xu, Li Xiong, Vaidy S. Sunderam, Jinfei Liu, Jun Luo:
Speed Partitioning for Indexing Moving Objects. CoRR abs/1411.4940 (2014) - 2013
- [j2]Jinfei Liu, Li Xiong, Jun Luo, Joshua Zhexue Huang:
Privacy Preserving Distributed DBSCAN Clustering. Trans. Data Priv. 6(1): 69-85 (2013) - [j1]Jinfei Liu, Li Xiong, Jun Luo:
Semantic Security: Privacy Definitions Revisited. Trans. Data Priv. 6(3): 185-198 (2013) - [c8]Jinfei Liu, Li Xiong, Jun Luo:
A privacy framework: indistinguishable privacy. EDBT/ICDT Workshops 2013: 131-136 - 2012
- [c7]Jinfei Liu, Joshua Zhexue Huang, Jun Luo, Li Xiong:
Privacy preserving distributed DBSCAN clustering. EDBT/ICDT Workshops 2012: 177-185 - [c6]Wenqi Ju, Chenglin Fan, Shuguang Liu, Jinfei Liu:
New models and efficient algorithms for hazard detection. Geoinformatics 2012: 1-7 - 2011
- [c5]Jinfei Liu, Jun Luo, Joshua Zhexue Huang:
Rating: Privacy Preservation for Multiple Attributes with Different Sensitivity Requirements. ICDM Workshops 2011: 666-673 - [c4]Chenglin Fan, Jun Luo, Jinfei Liu, Yinfeng Xu:
Half-Plane Voronoi Diagram. ISVD 2011: 127-133 - [c3]Jinfei Liu, Jun Luo, Chenglin Fan:
Effective Privacy Preserved Clustering Based on Voronoi Diagram. ISVD 2011: 206-213 - 2010
- [c2]Ming Chen, Jinfei Liu, Qinghua Kong, Yuan Yao:
Study on collaborative product design based on modularity and multi-agent. CSCWD 2010: 274-279 - [c1]Ming Chen, Jinfei Liu, Qinghua Kong, Yuan Yao:
Application of ontological thought in collaborative product R & D orientied to automobile lifecycle. CSCWD 2010: 286-290
Coauthor Index
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last updated on 2024-12-23 19:35 CET by the dblp team
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