Jinfei Liu

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 45

Top Topics

Differential Privacy

Top Venues

Proc. VLDB Endow.

IEEE Trans. Knowl. Data Eng.

Publications

Yihao Zheng, Haocheng Xia, Junyuan Pang, Jinfei Liu, Kui Ren, Lingyang Chu, Yang Cao, Li Xiong
TabularMark: Watermarking Tabular Datasets for Machine Learning. CoRR (2024)
Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng
Cross-silo Federated Learning with Record-level Personalized Differential Privacy. CoRR (2024)
Shang Liu, Yang Cao, Takao Murakami, Jinfei Liu, Masatoshi Yoshikawa
CARGO: Crypto-Assisted Differentially Private Triangle Counting Without Trusted Servers. ICDE (2024)
Shang Liu, Yang Cao, Takao Murakami, Weiran Liu, Seng Pei Liew, Tsubasa Takahashi, Jinfei Liu, Masatoshi Yoshikawa
Federated Graph Analytics with Differential Privacy. CoRR (2024)
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) (2024)
Xiaohui Yu, Jinfei Liu
Special Issue on Data Economy and Data Marketplaces. IEEE Internet Comput. 28 (4) (2024)
Haocheng Xia, Xiang Li, Junyuan Pang, Jinfei Liu, Kui Ren, Li Xiong
P-Shapley: Shapley Values on Probabilistic Classifiers. Proc. VLDB Endow. 17 (7) (2024)
Yuran Bi, Yihang Wu, Jinfei Liu, Kui Ren, Li Xiong
When Data Pricing Meets Non-Cooperative Game Theory. ICDE (2024)
Yuran Bi, Jinfei Liu, Chen Zhao, Junyi Zhao, Kui Ren, Li Xiong
Share: Stackelberg-Nash based Data Markets. ICDE (2024)
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)
Shang Liu, Yang Cao, Takao Murakami, Jinfei Liu, Masatoshi Yoshikawa
CARGO: Crypto-Assisted Differentially Private Triangle Counting without Trusted Servers. CoRR (2023)
Jiayao Zhang, Haocheng Xia, Qiheng Sun, Jinfei Liu, Li Xiong, Jian Pei, Kui Ren
Dynamic Shapley Value Computation. ICDE (2023)
Xiang Li, Haocheng Xia, Jinfei Liu
Shapley Value on Probabilistic Classifiers. CoRR (2023)
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) (2023)
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)
Hanxi Liu, Xiaokai Mao, Haocheng Xia, Jian Lou, Jinfei Liu
Prompt Valuation Based on Shapley Values. CoRR (2023)
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)
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 (2023)
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) (2023)
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)
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) (2022)
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) (2021)
Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng
Projected Federated Averaging with Heterogeneous Differential Privacy. Proc. VLDB Endow. 15 (4) (2021)
Wenhui Yu, Xiangnan He, Jian Pei, Xu Chen, Li Xiong, Jinfei Liu, Zheng Qin
Visually aware recommendation with aesthetic features. VLDB J. 30 (4) (2021)
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) (2021)
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) (2021)
Jinfei Liu, Li Xiong, Qiuchen Zhang, Jian Pei, Jun Luo
Eclipse: Generalizing kNN and Skyline. ICDE (2021)
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) (2021)
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) (2020)
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 (2020)
Jinfei Liu
Dealer: End-to-End Data Marketplace with Model-based Pricing. CoRR (2020)
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)
Jinfei Liu
Absolute Shapley Value. CoRR (2020)
Jinfei Liu, Li Xiong, Jian Pei, Jun Luo, Haoyu Zhang, Si Zhang
SkyRec: Finding Pareto Optimal Groups. CIKM (2019)
Jinfei Liu, Li Xiong, Qiuchen Zhang, Jian Pei, Jun Luo
Eclipse: Generalizing kNN and Skyline. CoRR (2019)
Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei
Secure and Efficient Skyline Queries on Encrypted Data. IEEE Trans. Knowl. Data Eng. 31 (7) (2019)
Wenhui Yu, Jinfei Liu, Jian Pei, Li Xiong, Xu Chen, Zheng Qin
Efficient Contour Computation of Group-based Skyline. CoRR (2019)
Wenhui Yu, Xiangnan He, Jian Pei, Xu Chen, Li Xiong, Jinfei Liu, Zheng Qin
Visually-aware Recommendation with Aesthetic Features. CoRR (2019)
Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei, Jun Luo
Skyline Diagram: Finding the Voronoi Counterpart for Skyline Queries. ICDE (2018)
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 (2018)
Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei
Secure and Efficient Skyline Queries on Encrypted Data. CoRR (2018)
Wenhui Yu, Zheng Qin, Jinfei Liu, Li Xiong, Xu Chen, Huidi Zhang
Fast Algorithms for Pareto Optimal Group-based Skyline. CIKM (2017)
Jinfei Liu, Li Xiong, Qiuchen Zhang, Jun Luo
Eclipse: Practicability Beyond 1NN and Skyline. CoRR (2017)
Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei
Secure Skyline Queries on Cloud Platform. ICDE (2017)
Yonghui Xiao, Yilin Shen, Jinfei Liu, Li Xiong, Hongxia Jin, Xiaofeng Xu
DPHMM: Customizable Data Release with Differential Privacy via Hidden Markov Model. CoRR (2016)
Xiaofeng Xu, Li Xiong, Vaidy S. Sunderam, Jinfei Liu, Jun Luo
Speed Partitioning for Indexing Moving Objects. SSTD (2015)
Haoran Li, Li Xiong, Xiaoqian Jiang, Jinfei Liu
Differentially Private Histogram Publication for Dynamic Datasets: an Adaptive Sampling Approach. CIKM (2015)
Xiaofeng Xu, Li Xiong, Vaidy S. Sunderam, Jinfei Liu, Jun Luo
VPIndexer: velocity-based partitioning for indexing moving objects. SIGSPATIAL/GIS (2015)
Jinfei Liu, Li Xiong
Secure Similarity Queries: Enabling Precision Medicine with Privacy. Big-O(Q)/DMAH@VLDB (2015)
Jinfei Liu, Li Xiong, Jian Pei, Jun Luo, Haoyu Zhang
Finding Pareto Optimal Groups: Group-based Skyline. Proc. VLDB Endow. 8 (13) (2015)
Jinfei Liu, Haoyu Zhang, Li Xiong, Haoran Li, Jun Luo
Finding Probabilistic k-Skyline Sets on Uncertain Data. CIKM (2015)
Xiaofeng Xu, Li Xiong, Jinfei Liu
Database Fragmentation with Confidentiality Constraints: A Graph Search Approach. CODASPY (2015)
Jinfei Liu, Li Xiong, Xiaofeng Xu
Faster output-sensitive skyline computation algorithm. Inf. Process. Lett. 114 (12) (2014)
Jun Luo, Jinfei Liu, Li Xiong
Privacy Preserving Publication of Locations Based on Delaunay Triangulation. PAKDD (1) (2014)
Xiaofeng Xu, Li Xiong, Vaidy S. Sunderam, Jinfei Liu, Jun Luo
Speed Partitioning for Indexing Moving Objects. CoRR (2014)
Jinfei Liu, Li Xiong, Jun Luo
A privacy framework: indistinguishable privacy. EDBT/ICDT Workshops (2013)
Jinfei Liu, Li Xiong, Jun Luo
Semantic Security: Privacy Definitions Revisited. Trans. Data Priv. 6 (3) (2013)
Jinfei Liu, Li Xiong, Jun Luo, Joshua Zhexue Huang
Privacy Preserving Distributed DBSCAN Clustering. Trans. Data Priv. 6 (1) (2013)
Jinfei Liu, Joshua Zhexue Huang, Jun Luo, Li Xiong
Privacy preserving distributed DBSCAN clustering. EDBT/ICDT Workshops (2012)
Wenqi Ju, Chenglin Fan, Shuguang Liu, Jinfei Liu
New models and efficient algorithms for hazard detection. Geoinformatics (2012)
Jinfei Liu, Jun Luo, Joshua Zhexue Huang
Rating: Privacy Preservation for Multiple Attributes with Different Sensitivity Requirements. ICDM Workshops (2011)
Jinfei Liu, Jun Luo, Chenglin Fan
Effective Privacy Preserved Clustering Based on Voronoi Diagram. ISVD (2011)
Chenglin Fan, Jun Luo, Jinfei Liu, Yinfeng Xu
Half-Plane Voronoi Diagram. ISVD (2011)
Ming Chen, Jinfei Liu, Qinghua Kong, Yuan Yao
Application of ontological thought in collaborative product R & D orientied to automobile lifecycle. CSCWD (2010)
Ming Chen, Jinfei Liu, Qinghua Kong, Yuan Yao
Study on collaborative product design based on modularity and multi-agent. CSCWD (2010)