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Da Yu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [j13]Da Yu, Hongmei Liu
, Shuo Li, Zhongbao Wang
, Shaojun Fang
:
Control-Relaxed Wideband 2×4 Nolen Matrix With 360° Continuously Tuned Differential Phase. IEEE Trans. Circuits Syst. II Express Briefs 71(4): 1979-1983 (2024) - [j12]Da Yu
, Mingyi Zhang
, Mantian Li
, Fusheng Zha
, Junge Zhang
, Lining Sun, Kaiqi Huang
:
Contrastive Correlation Preserving Replay for Online Continual Learning. IEEE Trans. Circuits Syst. Video Technol. 34(1): 124-139 (2024) - [j11]Da Yu, Sivakanth Gopi, Janardhan Kulkarni, Zinan Lin, Saurabh Naik, Tomasz Lukasz Religa, Jian Yin, Huishuai Zhang:
Selective Pre-training for Private Fine-tuning. Trans. Mach. Learn. Res. 2024 (2024) - [i14]Da Yu, Peter Kairouz, Sewoong Oh, Zheng Xu:
Privacy-Preserving Instructions for Aligning Large Language Models. CoRR abs/2402.13659 (2024) - [i13]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:
Differentially Private Synthetic Data via Foundation Model APIs 2: Text. CoRR abs/2403.01749 (2024) - 2023
- [j10]Da Yu, Mingyi Zhang, Mantian Li, Fusheng Zha, Junge Zhang, Lining Sun, Kaiqi Huang:
Squeezing More Past Knowledge for Online Class-Incremental Continual Learning. IEEE CAA J. Autom. Sinica 10(3): 722-736 (2023) - [j9]Da Yu
, Changgeng Li
, Jiaxun Xiao
:
Neural Networks-Based Wi-Fi/PDR Indoor Navigation Fusion Methods. IEEE Trans. Instrum. Meas. 72: 1-14 (2023) - [j8]Da Yu, Gautam Kamath, Janardhan Kulkarni, Tie-Yan Liu, Jian Yin, Huishuai Zhang:
Individual Privacy Accounting for Differentially Private Stochastic Gradient Descent. Trans. Mach. Learn. Res. 2023 (2023) - [c20]Huishuai Zhang, Da Yu, Yiping Lu, Di He:
Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks. AISTATS 2023: 2792-2804 - [c19]Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian:
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping. ICLR 2023 - [i12]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:
Challenges towards the Next Frontier in Privacy. CoRR abs/2304.06929 (2023) - [i11]Da Yu, Sivakanth Gopi, Janardhan Kulkarni, Zinan Lin, Saurabh Naik, Tomasz Lukasz Religa, Jian Yin, Huishuai Zhang:
Selective Pre-training for Private Fine-tuning. CoRR abs/2305.13865 (2023) - 2022
- [j7]Huishuai Zhang
, Da Yu, Mingyang Yi, Wei Chen, Tie-Yan Liu:
Stabilize deep ResNet with a sharp scaling factor τ. Mach. Learn. 111(9): 3359-3392 (2022) - [c18]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:
Differentially Private Fine-tuning of Language Models. ICLR 2022 - [c17]Da Yu, Junli Wang, Changjun Jiang:
Neighborhood Extended Dynamic Graph Neural Network. ICMLC 2022: 74-82 - [c16]Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu:
Availability Attacks Create Shortcuts. KDD 2022: 2367-2376 - [i10]Da Yu, Gautam Kamath
, Janardhan Kulkarni, Tie-Yan Liu, Jian Yin, Huishuai Zhang:
Per-Instance Privacy Accounting for Differentially Private Stochastic Gradient Descent. CoRR abs/2206.02617 (2022) - [i9]Huishuai Zhang, Da Yu, Yiping Lu, Di He:
Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks. CoRR abs/2206.04316 (2022) - [i8]Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian:
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping. CoRR abs/2212.01539 (2022) - 2021
- [j6]Yuxin Yang, Keren Dai
, Qiang Yin, Peng Liu, Da Yu, Haojie Li, He Zhang
:
In-Bore Dynamic Measurement and Mechanism Analysis of Multi-Physics Environment for Electromagnetic Railguns. IEEE Access 9: 16999-17010 (2021) - [j5]Zirong Wang, Tingting Song, Da Yu:
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 11(5): 1378-1383 (2021) - [c15]Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu:
How Does Data Augmentation Affect Privacy in Machine Learning? AAAI 2021: 10746-10753 - [c14]Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu:
Do not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning. ICLR 2021 - [c13]Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu:
Large Scale Private Learning via Low-rank Reparametrization. ICML 2021: 12208-12218 - [i7]Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu:
Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning. CoRR abs/2102.12677 (2021) - [i6]Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu:
Large Scale Private Learning via Low-rank Reparametrization. CoRR abs/2106.09352 (2021) - [i5]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:
Differentially Private Fine-tuning of Language Models. CoRR abs/2110.06500 (2021) - [i4]Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu:
Indiscriminate Poisoning Attacks Are Shortcuts. CoRR abs/2111.00898 (2021) - 2020
- [j4]Hongzhu Wang, Da Yu, Kunzhong Bao:
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 10(7): 1564-1569 (2020) - [c12]Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu:
Gradient Perturbation is Underrated for Differentially Private Convex Optimization. IJCAI 2020: 3117-3123 - [c11]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:
Accuracy, Scalability, Coverage: A Practical Configuration Verifier on a Global WAN. SIGCOMM 2020: 599-614 - [i3]Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu:
Membership Inference with Privately Augmented Data Endorses the Benign while Suppresses the Adversary. CoRR abs/2007.10567 (2020)
2010 – 2019
- 2019
- [b1]Da Yu:
Towards Reliable and Predictable Networks. Brown University, USA, 2019 - [c10]Da Yu, He Zhang, Changsheng Li:
Design and Test of Multi-Information Storage Testing System in Complex Physical Environment. CACRE 2019: 7:1-7:6 - [c9]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:
VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results. ICCV Workshops 2019: 213-226 - [c8]Da Yu, Yibo Zhu, Behnaz Arzani, Rodrigo Fonseca, Tianrong Zhang, Karl Deng, Lihua Yuan:
dShark: A General, Easy to Program and Scalable Framework for Analyzing In-network Packet Traces. NSDI 2019: 207-220 - [c7]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:
Safely and automatically updating in-network ACL configurations with intent language. SIGCOMM 2019: 214-226 - [i2]Huishuai Zhang, Da Yu, Wei Chen, Tie-Yan Liu:
Training Over-parameterized Deep ResNet Is almost as Easy as Training a Two-layer Network. CoRR abs/1903.07120 (2019) - [i1]Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu, Jian Yin:
Gradient Perturbation is Underrated for Differentially Private Convex Optimization. CoRR abs/1911.11363 (2019) - 2016
- [j3]Da Yu
, LiJun Huang, Na-Mi Chen:
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: 7097612:1-7097612:8 (2016) - [c6]Da Yu, Luo Mai, Somaya Arianfar, Rodrigo Fonseca, Orran Krieger, David Oran:
Towards a Network Marketplace in a Cloud. HotCloud 2016 - 2015
- [c5]Tim Nelson
, Andrew D. Ferguson, Da Yu, Rodrigo Fonseca, Shriram Krishnamurthi
:
Exodus: toward automatic migration of enterprise network configurations to SDNs. SOSR 2015: 13:1-13:7 - [c4]Tim Nelson
, Da Yu, Yiming Li, Rodrigo Fonseca, Shriram Krishnamurthi
:
Simon: scriptable interactive monitoring for SDNs. SOSR 2015: 19:1-19:7 - 2014
- [c3]Xingmin Cui, Da Yu, Patrick P. F. Chan, Lucas Chi Kwong Hui, Siu-Ming Yiu, Sihan Qing:
CoChecker: Detecting Capability and Sensitive Data Leaks from Component Chains in Android. ACISP 2014: 446-453 - 2012
- [c2]Zhiqiang Chen, Wushao Wen, Da Yu:
Detecting SIP flooding attacks on IP Multimedia Subsystem (IMS). ICNC 2012: 154-158 - 2011
- [j2]Da Yu, Abdullah Al-Yafawi, Tung T. Nguyen, Seungbae Park, Soonwan Chung:
High-cycle fatigue life prediction for Pb-free BGA under random vibration loading. Microelectron. Reliab. 51(3): 649-656 (2011) - 2010
- [j1]Da Yu, Jae B. Kwak, Seungbae Park, John Lee:
Dynamic responses of PCB under product-level free drop impact. Microelectron. Reliab. 50(7): 1028-1038 (2010) - [c1]Fangzhong Qi, Da Yu, Bernhard Holtkamp:
A logistics demand forecasting model based on Grey neural network. ICNC 2010: 1488-1492
Coauthor Index
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last updated on 2024-08-19 20:44 CEST by the dblp team
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