Da Yu

Orcid: 0000-0001-8996-8023

According to our database1, Da Yu authored at least 41 papers between 2010 and 2024.

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Bibliography

2024
Control-Relaxed Wideband 2×4 Nolen Matrix With 360° Continuously Tuned Differential Phase.
IEEE Trans. Circuits Syst. II Express Briefs, April, 2024

Contrastive Correlation Preserving Replay for Online Continual Learning.
IEEE Trans. Circuits Syst. Video Technol., January, 2024

Selective Pre-training for Private Fine-tuning.
Trans. Mach. Learn. Res., 2024

Privacy-Preserving Instructions for Aligning Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Differentially Private Synthetic Data via Foundation Model APIs 2: Text.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Squeezing More Past Knowledge for Online Class-Incremental Continual Learning.
IEEE CAA J. Autom. Sinica, March, 2023

Individual Privacy Accounting for Differentially Private Stochastic Gradient Descent.
Trans. Mach. Learn. Res., 2023

Neural Networks-Based Wi-Fi/PDR Indoor Navigation Fusion Methods.
IEEE Trans. Instrum. Meas., 2023

Challenges towards the Next Frontier in Privacy.
CoRR, 2023

Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Stabilize deep ResNet with a sharp scaling factor τ.
Mach. Learn., 2022

Per-Instance Privacy Accounting for Differentially Private Stochastic Gradient Descent.
CoRR, 2022

Availability Attacks Create Shortcuts.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Neighborhood Extended Dynamic Graph Neural Network.
Proceedings of the ICMLC 2022: 14th International Conference on Machine Learning and Computing, Guangzhou, China, February 18, 2022

Differentially Private Fine-tuning of Language Models.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Quantitative Assessment of Left Ventricular Function of Coronary Atherosclerotic Heart Disease with 640-Slice Dynamic Volume CT in Comparison to Echocardiography.
J. Medical Imaging Health Informatics, 2021

Indiscriminate Poisoning Attacks Are Shortcuts.
CoRR, 2021

In-Bore Dynamic Measurement and Mechanism Analysis of Multi-Physics Environment for Electromagnetic Railguns.
IEEE Access, 2021

Large Scale Private Learning via Low-rank Reparametrization.
Proceedings of the 38th International Conference on Machine Learning, 2021

Do not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

How Does Data Augmentation Affect Privacy in Machine Learning?
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Clinical Research of Thyroid Imaging Reporting and Data System Classification Combined with Color-Doppler Blood-Flow Parameters in Diagnosis of Benign and Malignant Thyroid Nodules.
J. Medical Imaging Health Informatics, 2020

Membership Inference with Privately Augmented Data Endorses the Benign while Suppresses the Adversary.
CoRR, 2020

Accuracy, Scalability, Coverage: A Practical Configuration Verifier on a Global WAN.
Proceedings of the SIGCOMM '20: Proceedings of the 2020 Annual conference of the ACM Special Interest Group on Data Communication on the applications, 2020

Gradient Perturbation is Underrated for Differentially Private Convex Optimization.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
Towards Reliable and Predictable Networks.
PhD thesis, 2019

Training Over-parameterized Deep ResNet Is almost as Easy as Training a Two-layer Network.
CoRR, 2019

Safely and automatically updating in-network ACL configurations with intent language.
Proceedings of the ACM Special Interest Group on Data Communication, 2019

dShark: A General, Easy to Program and Scalable Framework for Analyzing In-network Packet Traces.
Proceedings of the 16th USENIX Symposium on Networked Systems Design and Implementation, 2019

VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Design and Test of Multi-Information Storage Testing System in Complex Physical Environment.
Proceedings of the 2019 4th International Conference on Automation, 2019

2016
Anesthetic Propofol-Induced Gene Expression Changes in Patients Undergoing Coronary Artery Bypass Graft Surgery Based on Dynamical Differential Coexpression Network Analysis.
Comput. Math. Methods Medicine, 2016

Towards a Network Marketplace in a Cloud.
Proceedings of the 8th USENIX Workshop on Hot Topics in Cloud Computing, 2016

2015
Simon: scriptable interactive monitoring for SDNs.
Proceedings of the 1st ACM SIGCOMM Symposium on Software Defined Networking Research, 2015

Exodus: toward automatic migration of enterprise network configurations to SDNs.
Proceedings of the 1st ACM SIGCOMM Symposium on Software Defined Networking Research, 2015

2014
CoChecker: Detecting Capability and Sensitive Data Leaks from Component Chains in Android.
Proceedings of the Information Security and Privacy - 19th Australasian Conference, 2014

2012
Detecting SIP flooding attacks on IP Multimedia Subsystem (IMS).
Proceedings of the International Conference on Computing, Networking and Communications, 2012

2011
High-cycle fatigue life prediction for Pb-free BGA under random vibration loading.
Microelectron. Reliab., 2011

2010
Dynamic responses of PCB under product-level free drop impact.
Microelectron. Reliab., 2010

A logistics demand forecasting model based on Grey neural network.
Proceedings of the Sixth International Conference on Natural Computation, 2010


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