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ORCIDJian Lou 0001
Person information
- affiliation: Xidian University, China
- affiliation: Emory University, Atlanta, GA, USA
- affiliation (former): Hong Kong Baptist University, Kowloon, Hong Kong
Other persons with the same name
- Jian Lou — disambiguation page
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2020 – today
- 2022
[i8]Yiu-ming Cheung, Juyong Jiang, Feng Yu, Jian Lou:
Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data. CoRR abs/2203.01752 (2022)- 2021
- [j8]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) - [j7]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) - [j6]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) - [j5]Jian Lou
, Yiu-ming Cheung:
An Uplink Communication-Efficient Approach to Featurewise Distributed Sparse Optimization With Differential Privacy. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4529-4543 (2021) - [c17]Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho:
Temporal Network Embedding via Tensor Factorization. CIKM 2021: 3313-3317 - [c16]Haowen Lin, Jian Lou, Li Xiong, Cyrus Shahabi:
Integer-arithmetic-only Certified Robustness for Quantized Neural Networks. ICCV 2021: 7808-7817 - [c15]Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Sivasubramanium Bhavani, Joyce C. Ho:
Communication Efficient Tensor Factorization for Decentralized Healthcare Networks. ICDM 2021: 1216-1221 - [c14]Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong:
Private Stochastic Non-convex Optimization with Improved Utility Rates. IJCAI 2021: 3370-3376 - [c13]Wenjie Wang, Pengfei Tang, Jian Lou, Li Xiong:
Certified Robustness to Word Substitution Attack with Differential Privacy. NAACL-HLT 2021: 1102-1112 - [c12]Yiu-ming Cheung, Jian Lou, Feng Yu:
Vertical Federated Principal Component Analysis on Feature-Wise Distributed Data. WISE (1) 2021: 173-188 - [c11]Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho:
Communication Efficient Federated Generalized Tensor Factorization for Collaborative Health Data Analytics. WWW 2021: 171-182 - [i7]Farnaz Tahmasebian, Jian Lou, Li Xiong:
RobustFed: A Truth Inference Approach for Robust Federated Learning. CoRR abs/2107.08402 (2021) - [i6]Haowen Lin, Jian Lou, Li Xiong, Cyrus Shahabi:
SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling. CoRR abs/2108.09412 (2021) - [i5]Haowen Lin, Jian Lou, Li Xiong, Cyrus Shahabi:
Integer-arithmetic-only Certified Robustness for Quantized Neural Networks. CoRR abs/2108.09413 (2021) - [i4]Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho:
Temporal Network Embedding via Tensor Factorization. CoRR abs/2108.09837 (2021) - [i3]Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Sivasubramanium Bhavani, Joyce C. Ho:
Communication Efficient Tensor Factorization for Decentralized Healthcare Networks. CoRR abs/2109.01718 (2021) - 2020
- [j4]Meng Pang, Yiu-Ming Cheung, Binghui Wang, Jian Lou:
Synergistic Generic Learning for Face Recognition From a Contaminated Single Sample per Person. IEEE Trans. Inf. Forensics Secur. 15: 195-209 (2020) - [j3]Jian Lou, Yiu-Ming Cheung:
Robust Low-Rank Tensor Minimization via a New Tensor Spectral k-Support Norm. IEEE Trans. Image Process. 29: 2314-2327 (2020) - [c10]Qiuchen Zhang, Jing Ma, Yonghui Xiao, Jian Lou, Li Xiong:
Broadening Differential Privacy for Deep Learning Against Model Inversion Attacks. IEEE BigData 2020: 1061-1070 - [c9]Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong, Xiaoqian Jiang:
Towards Training Robust Private Aggregation of Teacher Ensembles Under Noisy Labels. IEEE BigData 2020: 1103-1110 - [c8]Yifei Ren, Jian Lou, Li Xiong, Joyce C. Ho:
Robust Irregular Tensor Factorization and Completion for Temporal Health Data Analysis. CIKM 2020: 1295-1304 - [c7]Jian Lou, Yiu-ming Cheung:
Projection-free Online Empirical Risk Minimization with Privacy-preserving and Privacy Expiration. WI/IAT 2020: 1-8
2010 – 2019
- 2019
- [j2]Meng Pang, Yiu-Ming Cheung, Risheng Liu, Jian Lou, Chuang Lin:
Toward Efficient Image Representation: Sparse Concept Discriminant Matrix Factorization. IEEE Trans. Circuits Syst. Video Technol. 29(11): 3184-3198 (2019) - [c6]Jing Ma, Qiuchen Zhang, Jian Lou, Joyce C. Ho, Li Xiong, Xiaoqian Jiang:
Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis. CIKM 2019: 1291-1300 - [c5]Wenwen Li, Jian Lou, Shuo Zhou, Haiping Lu:
Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI. MLMI@MICCAI 2019: 256-264 - [i2]Jing Ma, Qiuchen Zhang, Jian Lou, Joyce C. Ho, Li Xiong, Xiaoqian Jiang:
Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis. CoRR abs/1908.09888 (2019) - 2018
- [c4]Jian Lou, Yiu-ming Cheung:
Uplink Communication Efficient Differentially Private Sparse Optimization With Feature-Wise Distributed Data. AAAI 2018: 125-133 - [i1]Wenwen Li, Jian Lou, Shuo Zhou, Haiping Lu:
Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI. CoRR abs/1812.01496 (2018) - 2017
- [j1]Yiu-ming Cheung, Jian Lou:
Proximal average approximated incremental gradient descent for composite penalty regularized empirical risk minimization. Mach. Learn. 106(4): 595-622 (2017) - 2016
- [c3]Yiu-ming Cheung, Jian Lou:
Scalable Spectral k-Support Norm Regularization for Robust Low Rank Subspace Learning. CIKM 2016: 1151-1160 - 2015
- [c2]Yiu-ming Cheung, Jian Lou:
Proximal Average Approximated Incremental Gradient Method for Composite Penalty Regularized Empirical Risk Minimization. ACML 2015: 205-220 - [c1]Yiu-ming Cheung, Jian Lou:
Efficient Generalized Conditional Gradient with Gradient Sliding for Composite Optimization. IJCAI 2015: 3409-3415
Coauthor Index
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