Jian Lou
Orcid: 0000-0002-4110-2068Affiliations:
- Zhejiang University, China
- Xidian University, China (former)
- Emory University, Atlanta, GA, USA (former)
- Hong Kong Baptist University, Kowloon, Hong Kong (former)
According to our database1,
Jian Lou
authored at least 63 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
CoRR, 2024
IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Proc. ACM Manag. Data, December, 2023
Proc. VLDB Endow., 2023
CoRR, 2023
Local Differentially Private Heavy Hitter Detection in Data Streams with Bounded Memory.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Interpretation Attacks and Defenses on Predictive Models Using Electronic Health Records.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
CAPP-130: A Corpus of Chinese Application Privacy Policy Summarization and Interpretation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning for Computational Phenotyping.
Proceedings of the Machine Learning for Health, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Explaining Adversarial Robustness of Neural Networks from Clustering Effect Perspective.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Personalized Differentially Private Federated Learning without Exposing Privacy Budgets.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
FINER: Enhancing State-of-the-art Classifiers with Feature Attribution to Facilitate Security Analysis.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023
2022
Generating Adversarial Examples With Distance Constrained Adversarial Imitation Networks.
IEEE Trans. Dependable Secur. Comput., 2022
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model.
CoRR, 2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data.
CoRR, 2022
Purifier: Plug-and-play Backdoor Mitigation for Pre-trained Models Via Anomaly Activation Suppression.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
DP-HORUS: Differentially Private Hierarchical Count Histograms under Untrusted Server.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
An Uplink Communication-Efficient Approach to Featurewise Distributed Sparse Optimization With Differential Privacy.
IEEE Trans. Neural Networks Learn. Syst., 2021
Proc. VLDB Endow., 2021
Proc. VLDB Endow., 2021
Proc. VLDB Endow., 2021
SNEAK: Synonymous Sentences-Aware Adversarial Attack on Natural Language Video Localization.
CoRR, 2021
CoRR, 2021
Communication Efficient Federated Generalized Tensor Factorization for Collaborative Health Data Analytics.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
2020
IEEE Trans. Image Process., 2020
Synergistic Generic Learning for Face Recognition From a Contaminated Single Sample per Person.
IEEE Trans. Inf. Forensics Secur., 2020
Projection-free Online Empirical Risk Minimization with Privacy-preserving and Privacy Expiration.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020
Robust Irregular Tensor Factorization and Completion for Temporal Health Data Analysis.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
Toward Efficient Image Representation: Sparse Concept Discriminant Matrix Factorization.
IEEE Trans. Circuits Syst. Video Technol., 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
2018
Uplink Communication Efficient Differentially Private Sparse Optimization With Feature-Wise Distributed Data.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Proximal average approximated incremental gradient descent for composite penalty regularized empirical risk minimization.
Mach. Learn., 2017
2016
Scalable Spectral k-Support Norm Regularization for Robust Low Rank Subspace Learning.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
2015
Efficient Generalized Conditional Gradient with Gradient Sliding for Composite Optimization.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proximal Average Approximated Incremental Gradient Method for Composite Penalty Regularized Empirical Risk Minimization.
Proceedings of The 7th Asian Conference on Machine Learning, 2015