Da Yu

According to our database, Da Yu authored at least 40 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Control-Relaxed Wideband 2×4 Nolen Matrix With 360° Continuously Tuned Differential Phase.

Da Yu, Hongmei Liu, Shuo Li, Zhongbao Wang, Shaojun Fang

IEEE Trans. Circuits Syst. II Express Briefs, April, 2024

Contrastive Correlation Preserving Replay for Online Continual Learning.

Da Yu, Mingyi Zhang, Mantian Li, Fusheng Zha, Junge Zhang, Lining Sun, Kaiqi Huang

IEEE Trans. Circuits Syst. Video Technol., January, 2024

Differentially Private Synthetic Data via Foundation Model APIs 2: Text.

Chulin Xie, Zinan Lin, Arturs Backurs, Sivakanth Gopi, Da Yu, Huseyin A. Inan, Harsha Nori, Haotian Jiang, Huishuai Zhang, Yin Tat Lee, Bo Li, Sergey Yekhanin

CoRR, 2024

Privacy-Preserving Instructions for Aligning Large Language Models.

Da Yu, Peter Kairouz, Sewoong Oh, Zheng Xu

CoRR, 2024

2023

Squeezing More Past Knowledge for Online Class-Incremental Continual Learning.

Da Yu, Mingyi Zhang, Mantian Li, Fusheng Zha, Junge Zhang, Lining Sun, Kaiqi Huang

IEEE CAA J. Autom. Sinica, March, 2023

Neural Networks-Based Wi-Fi/PDR Indoor Navigation Fusion Methods.

Da Yu, Changgeng Li, Jiaxun Xiao

IEEE Trans. Instrum. Meas., 2023

Selective Pre-training for Private Fine-tuning.

Da Yu, Sivakanth Gopi, Janardhan Kulkarni, Zinan Lin, Saurabh Naik, Tomasz Lukasz Religa, Jian Yin, Huishuai Zhang

CoRR, 2023

Challenges towards the Next Frontier in Privacy.

Rachel Cummings, Damien Desfontaines, David Evans, Roxana Geambasu, Matthew Jagielski, Yangsibo Huang, Peter Kairouz, Gautam Kamath, Sewoong Oh, Olga Ohrimenko, Nicolas Papernot, Ryan Rogers, Milan Shen, Shuang Song, Weijie J. Su, Andreas Terzis, Abhradeep Thakurta, Sergei Vassilvitskii, Yu-Xiang Wang, Li Xiong, Sergey Yekhanin, Da Yu, Huanyu Zhang, Wanrong Zhang

CoRR, 2023

Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping.

Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks.

Huishuai Zhang, Da Yu, Yiping Lu, Di He

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Stabilize deep ResNet with a sharp scaling factor τ.

Huishuai Zhang, Da Yu, Mingyang Yi, Wei Chen, Tie-Yan Liu

Mach. Learn., 2022

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

Da Yu, Gautam Kamath, Janardhan Kulkarni, Tie-Yan Liu, Jian Yin, Huishuai Zhang

CoRR, 2022

Availability Attacks Create Shortcuts.

Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu

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.

Da Yu, Junli Wang, Changjun Jiang

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.

Da Yu, Saurabh Naik, Arturs Backurs, Sivakanth Gopi, Huseyin A. Inan, Gautam Kamath, Janardhan Kulkarni, Yin Tat Lee, Andre Manoel, Lukas Wutschitz, Sergey Yekhanin, Huishuai Zhang

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.

Zirong Wang, Tingting Song, Da Yu

J. Medical Imaging Health Informatics, 2021

Indiscriminate Poisoning Attacks Are Shortcuts.

Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu

CoRR, 2021

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

Yuxin Yang, Keren Dai, Qiang Yin, Peng Liu, Da Yu, Haojie Li, He Zhang

IEEE Access, 2021

Large Scale Private Learning via Low-rank Reparametrization.

Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu

Proceedings of the 38th International Conference on Machine Learning, 2021

Do not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning.

Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu

Proceedings of the 9th International Conference on Learning Representations, 2021

How Does Data Augmentation Affect Privacy in Machine Learning?

Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu

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.

Hongzhu Wang, Da Yu, Kunzhong Bao

J. Medical Imaging Health Informatics, 2020

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

Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu

CoRR, 2020

Accuracy, Scalability, Coverage: A Practical Configuration Verifier on a Global WAN.

Fangdan Ye, Da Yu, Ennan Zhai, Hongqiang Harry Liu, Bingchuan Tian, Qiaobo Ye, Chunsheng Wang, Xin Wu, Tianchen Guo, Cheng Jin, Duncheng She, Qing Ma, Biao Cheng, Hui Xu, Ming Zhang, Zhiliang Wang, Rodrigo Fonseca

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.

Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Towards Reliable and Predictable Networks.

Da Yu

PhD thesis, 2019

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

Huishuai Zhang, Da Yu, Wei Chen, Tie-Yan Liu

CoRR, 2019

Safely and automatically updating in-network ACL configurations with intent language.

Bingchuan Tian, Xinyi Zhang, Ennan Zhai, Hongqiang Harry Liu, Qiaobo Ye, Chunsheng Wang, Xin Wu, Zhiming Ji, Yihong Sang, Ming Zhang, Da Yu, Chen Tian, Haitao Zheng, Ben Y. Zhao

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.

Da Yu, Yibo Zhu, Behnaz Arzani, Rodrigo Fonseca, Tianrong Zhang, Karl Deng, Lihua Yuan

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.

Dawei Du, Yue Zhang, Zexin Wang, Zhikang Wang, Zichen Song, Ziming Liu, Liefeng Bo, Hailin Shi, Rui Zhu, Aashish Kumar, Aijin Li, Almaz Zinollayev, Anuar Askergaliyev, Arne Schumann, Binjie Mao, Pengfei Zhu, Byeongwon Lee, Chang Liu, Changrui Chen, Chunhong Pan, Chunlei Huo, Da Yu, Dechun Cong, Dening Zeng, Dheeraj Reddy Pailla, Di Li, Longyin Wen, Dong Wang, Donghyeon Cho, Dongyu Zhang, Furui Bai, George Jose, Guangyu Gao, Guizhong Liu, Haitao Xiong, Hao Qi, Haoran Wang, Xiao Bian, Heqian Qiu, Hongliang Li, Huchuan Lu, Ildoo Kim, Jaekyum Kim, Jane Shen, Jihoon Lee, Jing Ge, Jingjing Xu, Jingkai Zhou, Haibin Ling, Jonas Meier, Jun Won Choi, Junhao Hu, Junyi Zhang, Junying Huang, Kaiqi Huang, Keyang Wang, Lars Sommer, Lei Jin, Lei Zhang, Qinghua Hu, Lianghua Huang, Lin Sun, Lucas Steinmann, Meixia Jia, Nuo Xu, Pengyi Zhang, Qiang Chen, Qingxuan Lv, Qiong Liu, Qishang Cheng, Tao Peng, Sai Saketh Chennamsetty, Shuhao Chen, Shuo Wei, Srinivas S. S. Kruthiventi, Sungeun Hong, Sungil Kang, Tong Wu, Tuo Feng, Varghese Alex Kollerathu, Wanqi Li, Jiayu Zheng, Wei Dai, Weida Qin, Weiyang Wang, Xiaorui Wang, Xiaoyu Chen, Xin Chen, Xin Sun, Xin Zhang, Xin Zhao, Xindi Zhang, Xinyao Wang, Xinyu Zhang, Xuankun Chen, Xudong Wei, Xuzhang Zhang, Yanchao Li, Yifu Chen, Yu Heng Toh, Yu Zhang, Yu Zhu, Yunxin Zhong

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.

Da Yu, He Zhang, Changsheng Li

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.

Da Yu, LiJun Huang, Na-Mi Chen

Comput. Math. Methods Medicine, 2016

Towards a Network Marketplace in a Cloud.

Da Yu, Luo Mai, Somaya Arianfar, Rodrigo Fonseca, Orran Krieger, David Oran

Proceedings of the 8th USENIX Workshop on Hot Topics in Cloud Computing, 2016

2015

Simon: scriptable interactive monitoring for SDNs.

Tim Nelson, Da Yu, Yiming Li, Rodrigo Fonseca, Shriram Krishnamurthi

Proceedings of the 1st ACM SIGCOMM Symposium on Software Defined Networking Research, 2015

Exodus: toward automatic migration of enterprise network configurations to SDNs.

Tim Nelson, Andrew D. Ferguson, Da Yu, Rodrigo Fonseca, Shriram Krishnamurthi

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.

Xingmin Cui, Da Yu, Patrick P. F. Chan, Lucas Chi Kwong Hui, Siu-Ming Yiu, Sihan Qing

Proceedings of the Information Security and Privacy - 19th Australasian Conference, 2014

2012

Detecting SIP flooding attacks on IP Multimedia Subsystem (IMS).

Zhiqiang Chen, Wushao Wen, Da Yu

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.

Da Yu, Abdullah Al-Yafawi, Tung T. Nguyen, Seungbae Park, Soonwan Chung

Microelectron. Reliab., 2011

2010

Dynamic responses of PCB under product-level free drop impact.

Da Yu, Jae B. Kwak, Seungbae Park, John Lee

Microelectron. Reliab., 2010

A logistics demand forecasting model based on Grey neural network.

Fangzhong Qi, Da Yu, Bernhard Holtkamp

Proceedings of the Sixth International Conference on Natural Computation, 2010