Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJian Lou 0001
Person information
- affiliation: Zhejiang University, China
- affiliation (former): Xidian University, China
- affiliation (former): Emory University, Atlanta, GA, USA
- affiliation (former): Hong Kong Baptist University, Kowloon, Hong Kong
Other persons with the same name
- Jian Lou — disambiguation page
- Jian Lou 0002 — Vanderbilt University, Nashville, TN, USA
- Jian Lou 0003 — Alibaba, Hangzhou, China
- Jian Lou 0004 — Tencent Media Lab, Shenzhen China and Palo Alto, CA, USA
- Jian Lou 0005 — Beijing Institute of Technology, Beijing, China
- Jian Lou 0006 — Motorola Inc., San Diego, CA, USA (and 1 more)
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j13]Xiaochen Li, Weiran Liu, Jian Lou, Yuan Hong, Lei Zhang, Zhan Qin, Kui Ren:
Local Differentially Private Heavy Hitter Detection in Data Streams with Bounded Memory. Proc. ACM Manag. Data 2(1): 30:1-30:27 (2024)- [c34]Wenjie Wang, Pengfei Tang, Jian Lou, Yuanming Shao, Lance Waller, Yi-an Ko, Li Xiong:
IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity. AAAI 2024: 15634-15643 - [c33]Qiuchen Zhang, Hong-Kyu Lee, Jing Ma, Jian Lou, Carl Yang, Li Xiong:
DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy. WWW 2024: 1170-1181 - [i27]Hong-Kyu Lee, Qiuchen Zhang, Carl Yang, Jian Lou, Li Xiong:
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning. CoRR abs/2401.10458 (2024) - [i26]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) - 2023
- [j12]Congcong Fu
, Hui Li, Jian Lou, Huizhen Li, Jiangtao Cui:
DP-starJ: A Differential Private Scheme towards Analytical Star-Join Queries. Proc. ACM Manag. Data 1(4): 238:1-238:24 (2023) - [j11]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) - [c32]Yiling He, Jian Lou, Zhan Qin, Kui Ren:
FINER: Enhancing State-of-the-art Classifiers with Feature Attribution to Facilitate Security Analysis. CCS 2023: 416-430 - [c31]Shuijing Zhang, Jian Lou, Li Xiong, Xiaoyu Zhang, Jing Liu:
Closed-form Machine Unlearning for Matrix Factorization. CIKM 2023: 3278-3287 - [c30]Junxu Liu, Jian Lou, Li Xiong, Xiaofeng Meng:
Personalized Differentially Private Federated Learning without Exposing Privacy Budgets. CIKM 2023: 4140-4144 - [c29]Yulin Jin, Xiaoyu Zhang, Jian Lou, Xu Ma, Zilong Wang, Xiaofeng Chen:
Explaining Adversarial Robustness of Neural Networks from Clustering Effect Perspective. ICCV 2023: 4499-4508 - [c28]Junxu Liu, Mingsheng Xue, Jian Lou, Xiaoyu Zhang, Li Xiong, Zhan Qin:
MUter: Machine Unlearning on Adversarially Trained Models. ICCV 2023: 4869-4879 - [c27]Yifei Ren, Jian Lou, Li Xiong, Joyce C. Ho, Xiaoqian Jiang, Sivasubramanium Venkatraman Bhavani:
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning for Computational Phenotyping. ML4H@NeurIPS 2023: 498-511 - [c26]Yulin Jin, Xiaoyu Zhang, Jian Lou, Xiaofeng Chen:
ACQ: Few-shot Backdoor Defense via Activation Clipping and Quantizing. ACM Multimedia 2023: 5410-5418 - [c25]Jiaqi Liu, Jian Lou, Zhan Qin, Kui Ren:
Certified Minimax Unlearning with Generalization Rates and Deletion Capacity. NeurIPS 2023 - [c24]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 - [c23]Fereshteh Razmi, Jian Lou, Yuan Hong, Li Xiong:
Interpretation Attacks and Defenses on Predictive Models Using Electronic Health Records. ECML/PKDD (3) 2023: 446-461 - [i25]Xinyi Shang, Gang Huang, Yang Lu, Jian Lou, Bo Han, Yiu-ming Cheung, Hanzi Wang:
Federated Semi-Supervised Learning with Annotation Heterogeneity. CoRR abs/2303.02445 (2023) - [i24]Wenjie Wang, Li Xiong, Jian Lou:
Wasserstein Adversarial Examples on Univariant Time Series Data. CoRR abs/2303.12357 (2023) - [i23]Hongwei Yao, Jian Lou, Kui Ren, Zhan Qin:
PromptCARE: Prompt Copyright Protection by Watermark Injection and Verification. CoRR abs/2308.02816 (2023) - [i22]Yiling He, Jian Lou, Zhan Qin, Kui Ren:
FINER: Enhancing State-of-the-art Classifiers with Feature Attribution to Facilitate Security Analysis. CoRR abs/2308.05362 (2023) - [i21]Congcong Fu, Hui Li, Jian Lou, Jiangtao Cui:
DP-starJ: A Differential Private Scheme towards Analytical Star-Join Queries. CoRR abs/2310.04711 (2023) - [i20]Hongwei Yao, Jian Lou, Zhan Qin:
PoisonPrompt: Backdoor Attack on Prompt-based Large Language Models. CoRR abs/2310.12439 (2023) - [i19]Fereshteh Razmi, Jian Lou, Li Xiong:
Does Differential Privacy Prevent Backdoor Attacks in Practice? CoRR abs/2311.06227 (2023) - [i18]Xiaochen Li, Weiran Liu, Jian Lou, Yuan Hong, Lei Zhang, Zhan Qin, Kui Ren:
Local Differentially Private Heavy Hitter Detection in Data Streams with Bounded Memory. CoRR abs/2311.16062 (2023) - [i17]Yuke Hu, Jian Lou, Jiaqi Liu, Feng Lin, Zhan Qin, Kui Ren:
ERASER: Machine Unlearning in MLaaS via an Inference Serving-Aware Approach. CoRR abs/2311.16136 (2023) - [i16]Jiaqi Liu, Jian Lou, Zhan Qin, Kui Ren:
Certified Minimax Unlearning with Generalization Rates and Deletion Capacity. CoRR abs/2312.10336 (2023) - [i15]Hanxi Liu, Xiaokai Mao, Haocheng Xia, Jian Lou, Jinfei Liu:
Prompt Valuation Based on Shapley Values. CoRR abs/2312.15395 (2023) - 2022
- [j10]Qiquan Shi, Yiu-Ming Cheung, Jian Lou:
Robust Tensor SVD and Recovery With Rank Estimation. IEEE Trans. Cybern. 52(10): 10667-10682 (2022) - [j9]Pengfei Tang, Wenjie Wang, Jian Lou, Li Xiong:
Generating Adversarial Examples With Distance Constrained Adversarial Imitation Networks. IEEE Trans. Dependable Secur. Comput. 19(6): 4145-4155 (2022) - [c22]Congcong Fu, Hui Li, Jian Lou, Jiangtao Cui:
DP-HORUS: Differentially Private Hierarchical Count Histograms under Untrusted Server. CIKM 2022: 530-539 - [c21]Farnaz Tahmasebian, Jian Lou, Li Xiong:
RobustFed: A Truth Inference Approach for Robust Federated Learning. CIKM 2022: 1868-1877 - [c20]Kaixin Yuan, Jing Liu, Jian Lou:
Higher-Order Masked Graph Neural Networks for Traffic Flow Prediction. ICDM 2022: 1305-1310 - [c19]Xiaoyu Zhang, Yulin Jin, Tao Wang, Jian Lou, Xiaofeng Chen:
Purifier: Plug-and-play Backdoor Mitigation for Pre-trained Models Via Anomaly Activation Suppression. ACM Multimedia 2022: 4291-4299 - [c18]Yuhua Sun, Tailai Zhang, Xingjun Ma, Pan Zhou, Jian Lou, Zichuan Xu, Xing Di, Yu Cheng, Lichao Sun:
Backdoor Attacks on Crowd Counting. ACM Multimedia 2022: 5351-5360 - [i14]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) - [i13]Yuhua Sun, Tailai Zhang, Xingjun Ma, Pan Zhou, Jian Lou, Zichuan Xu, Xing Di, Yu Cheng, Lichao Sun:
Backdoor Attacks on Crowd Counting. CoRR abs/2207.05641 (2022) - [i12]Yifei Ren, Jian Lou, Li Xiong, Joyce C. Ho, Xiaoqian Jiang, Sivasubramanium Bhavani:
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning. CoRR abs/2208.00993 (2022) - [i11]Qiuchen Zhang, Jing Ma, Jian Lou, Carl Yang, Li Xiong:
Towards Training Graph Neural Networks with Node-Level Differential Privacy. CoRR abs/2210.04442 (2022) - [i10]Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong, Xiaoqian Jiang:
Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy Labels. CoRR abs/2211.01628 (2022) - [i9]Shuo Shao, Wenyuan Yang, Hanlin Gu, Jian Lou, Zhan Qin, Lixin Fan, Qiang Yang, Kui Ren:
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model. CoRR abs/2211.07160 (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 - [i8]Farnaz Tahmasebian, Jian Lou, Li Xiong:
RobustFed: A Truth Inference Approach for Robust Federated Learning. CoRR abs/2107.08402 (2021) - [i7]Haowen Lin, Jian Lou, Li Xiong, Cyrus Shahabi:
SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling. CoRR abs/2108.09412 (2021) - [i6]Haowen Lin, Jian Lou, Li Xiong, Cyrus Shahabi:
Integer-arithmetic-only Certified Robustness for Quantized Neural Networks. CoRR abs/2108.09413 (2021) - [i5]Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho:
Temporal Network Embedding via Tensor Factorization. CoRR abs/2108.09837 (2021) - [i4]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) - [i3]Wenbo Gou, Wen Shi, Jian Lou, Lijie Huang, Pan Zhou, Ruixuan Li:
SNEAK: Synonymous Sentences-Aware Adversarial Attack on Natural Language Video Localization. CoRR abs/2112.04154 (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
aka: Yiu-ming Cheung
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-05-15 20:42 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
