Da Yu

64 papers A* 12A 1Misc 5Journal 39Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
A novel infrared and visible image fusion network based on cross-modality reinforcement and multi-attention fusion strategy.
Expert Syst. Appl.
Biao Qi, Yu Zhang, Ting Nie, Da Yu, Hengyi Lv, Guoning Li
2025 J jnl
ACTG-ARL: Differentially Private Conditional Text Generation with RL-Boosted Control.
CoRR
Yuzheng Hu, Ryan McKenna, Da Yu, Shanshan Wu, Han Zhao, Zheng Xu, Peter Kairouz
2025 J jnl
Design and Evaluation of a 6-DoF Wearable Fingertip Device for Haptic Shape Rendering.
IEEE Trans. Vis. Comput. Graph.
Dapeng Chen, Da Yu, Yi Ding, Haojun Ni, Lifeng Zhu, Hong Zeng, Zhong Wei, Jia Liu, Aiguo Song
2025 J jnl
High-resolution multi-view stereo with multi-scale feature fusion.
Eng. Appl. Artif. Intell.
Dapeng Chen, Qi Jia, Hao Wu, Da Yu, Nanxuan Huang, Jia Liu
2025 J jnl
How to DP-fy Your Data: A Practical Guide to Generating Synthetic Data With Differential Privacy.
CoRR
Natalia Ponomareva, Zheng Xu, H. Brendan McMahan, Peter Kairouz, Lucas Rosenblatt, Vincent Cohen-Addad, Cristóbal Guzmán, Ryan McKenna, Galen Andrew, Alex Bie, Da Yu, Alex Kurakin, Morteza Zadimoghaddam, Sergei Vassilvitskii, Andreas Terzis
2025 — conf
On Memorization of Large Language Models in Logical Reasoning.
IJCNLP-AACL (long papers)
Chulin Xie, Yangsibo Huang, Chiyuan Zhang, Da Yu, Xinyun Chen, Bill Yuchen Lin, Bo Li, Badih Ghazi, Ravi Kumar
2025 J jnl
Scaling Embedding Layers in Language Models.
CoRR
Da Yu, Edith Cohen, Badih Ghazi, Yangsibo Huang, Pritish Kamath, Ravi Kumar, Daogao Liu, Chiyuan Zhang
2025 A* conf
Scaling Laws for Differentially Private Language Models.
ICML
Ryan McKenna, Yangsibo Huang, Amer Sinha, Borja Balle, Zachary Charles, Christopher A. Choquette-Choo, Badih Ghazi, Georgios Kaissis, Ravi Kumar, Ruibo Liu, Da Yu, Chiyuan Zhang
2025 J jnl
Scaling Laws for Differentially Private Language Models.
CoRR
Ryan McKenna, Yangsibo Huang, Amer Sinha, Borja Balle, Zachary Charles, Christopher A. Choquette-Choo, Badih Ghazi, Georgios Kaissis, Ravi Kumar, Ruibo Liu, Da Yu, Chiyuan Zhang
2025 J jnl
Synthesize Privacy-Preserving High-Resolution Images via Private Textual Intermediaries.
CoRR
Haoxiang Wang, Zinan Lin, Da Yu, Huishuai Zhang
2025 J jnl
Urania: Differentially Private Insights into AI Use.
CoRR
Daogao Liu, Edith Cohen, Badih Ghazi, Peter Kairouz, Pritish Kamath, Alexander Knop, Ravi Kumar, Pasin Manurangsi, Adam Sealfon, Da Yu, Chiyuan Zhang
2025 J jnl
VaultGemma: A Differentially Private Gemma Model.
CoRR
Amer Sinha, Thomas Mesnard, Ryan McKenna, Daogao Liu, Christopher A. Choquette-Choo, Yangsibo Huang, Da Yu, Georgios Kaissis, Zachary Charles, Ruibo Liu, Lynn Chua, Pritish Kamath, Pasin Manurangsi, Steve He, Chiyuan Zhang, Badih Ghazi, Borja de Balle Pigem, Prem Eruvbetine, Tris Warkentin, Armand Joulin, Ravi Kumar
2024 J jnl
Contrastive Correlation Preserving Replay for Online Continual Learning.
IEEE Trans. Circuits Syst. Video Technol.
Da Yu, Mingyi Zhang, Mantian Li, Fusheng Zha, Junge Zhang, Lining Sun, Kaiqi Huang
2024 J jnl
Control-Relaxed Wideband 2×4 Nolen Matrix With 360° Continuously Tuned Differential Phase.
IEEE Trans. Circuits Syst. II Express Briefs
Da Yu, Hongmei Liu, Shuo Li, Zhongbao Wang, Shaojun Fang
2024 J jnl
Differentially Private Fine-tuning of Language Models.
J. Priv. Confidentiality
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
2024 A* conf
Differentially Private Synthetic Data via Foundation Model APIs 2: Text.
ICML
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
2024 J jnl
Differentially Private Synthetic Data via Foundation Model APIs 2: Text.
CoRR
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
2024 J jnl
On Memorization of Large Language Models in Logical Reasoning.
CoRR
Chulin Xie, Yangsibo Huang, Chiyuan Zhang, Da Yu, Xinyun Chen, Bill Yuchen Lin, Bo Li, Badih Ghazi, Ravi Kumar
2024 A* conf
Privacy-Preserving Instructions for Aligning Large Language Models.
ICML
Da Yu, Peter Kairouz, Sewoong Oh, Zheng Xu
2024 J jnl
Privacy-Preserving Instructions for Aligning Large Language Models.
CoRR
Da Yu, Peter Kairouz, Sewoong Oh, Zheng Xu
2024 J jnl
Selective Pre-training for Private Fine-tuning.
Trans. Mach. Learn. Res.
Da Yu, Sivakanth Gopi, Janardhan Kulkarni, Zinan Lin, Saurabh Naik, Tomasz Lukasz Religa, Jian Yin, Huishuai Zhang
2023 A conf
Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks.
AISTATS
Huishuai Zhang, Da Yu, Yiping Lu, Di He
2023 J jnl
Challenges towards the Next Frontier in Privacy.
CoRR
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
2023 A* conf
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping.
ICLR
Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian
2023 J jnl
Individual Privacy Accounting for Differentially Private Stochastic Gradient Descent.
Trans. Mach. Learn. Res.
Da Yu, Gautam Kamath, Janardhan Kulkarni, Tie-Yan Liu, Jian Yin, Huishuai Zhang
2023 J jnl
Neural Networks-Based Wi-Fi/PDR Indoor Navigation Fusion Methods.
IEEE Trans. Instrum. Meas.
Da Yu, Changgeng Li, Jiaxun Xiao
2023 J jnl
Selective Pre-training for Private Fine-tuning.
CoRR
Da Yu, Sivakanth Gopi, Janardhan Kulkarni, Zinan Lin, Saurabh Naik, Tomasz Lukasz Religa, Jian Yin, Huishuai Zhang
2023 J jnl
Squeezing More Past Knowledge for Online Class-Incremental Continual Learning.
IEEE CAA J. Autom. Sinica
Da Yu, Mingyi Zhang, Mantian Li, Fusheng Zha, Junge Zhang, Lining Sun, Kaiqi Huang
2022 J jnl
Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks.
CoRR
Huishuai Zhang, Da Yu, Yiping Lu, Di He
2022 A* conf
Availability Attacks Create Shortcuts.
KDD
Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu
2022 A* conf
Differentially Private Fine-tuning of Language Models.
ICLR
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
2022 J jnl
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping.
CoRR
Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian
2022 Misc conf
Neighborhood Extended Dynamic Graph Neural Network.
ICMLC
Da Yu, Junli Wang, Changjun Jiang
2022 J jnl
Per-Instance Privacy Accounting for Differentially Private Stochastic Gradient Descent.
CoRR
Da Yu, Gautam Kamath, Janardhan Kulkarni, Tie-Yan Liu, Jian Yin, Huishuai Zhang
2022 J jnl
Stabilize deep ResNet with a sharp scaling factor τ.
Mach. Learn.
Huishuai Zhang, Da Yu, Mingyang Yi, Wei Chen, Tie-Yan Liu
2021 J jnl
Differentially Private Fine-tuning of Language Models.
CoRR
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
2021 J jnl
Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning.
CoRR
Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu
2021 A* conf
Do not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning.
ICLR
Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu
2021 A* conf
How Does Data Augmentation Affect Privacy in Machine Learning?
AAAI
Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu
2021 J jnl
In-Bore Dynamic Measurement and Mechanism Analysis of Multi-Physics Environment for Electromagnetic Railguns.
IEEE Access
Yuxin Yang, Keren Dai, Qiang Yin, Peng Liu, Da Yu, Haojie Li, He Zhang
2021 J jnl
Indiscriminate Poisoning Attacks Are Shortcuts.
CoRR
Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu
2021 A* conf
Large Scale Private Learning via Low-rank Reparametrization.
ICML
Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu
2021 J jnl
Large Scale Private Learning via Low-rank Reparametrization.
CoRR
Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu
2021 J jnl
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
Zirong Wang, Tingting Song, Da Yu
2020 A* conf
Accuracy, Scalability, Coverage: A Practical Configuration Verifier on a Global WAN.
SIGCOMM
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
2020 J jnl
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
Hongzhu Wang, Da Yu, Kunzhong Bao
2020 A* conf
Gradient Perturbation is Underrated for Differentially Private Convex Optimization.
IJCAI
Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu
2020 J jnl
Membership Inference with Privately Augmented Data Endorses the Benign while Suppresses the Adversary.
CoRR
Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu
2019 — conf
Design and Test of Multi-Information Storage Testing System in Complex Physical Environment.
CACRE
Da Yu, He Zhang, Changsheng Li
2019 J jnl
Gradient Perturbation is Underrated for Differentially Private Convex Optimization.
CoRR
Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu, Jian Yin
2019 A* conf
Safely and automatically updating in-network ACL configurations with intent language.
SIGCOMM
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
2019 — —
Towards Reliable and Predictable Networks.
Da Yu
2019 J jnl
Training Over-parameterized Deep ResNet Is almost as Easy as Training a Two-layer Network.
CoRR
Huishuai Zhang, Da Yu, Wei Chen, Tie-Yan Liu
2019 — conf
VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results.
ICCV Workshops
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
2019 Misc conf
dShark: A General, Easy to Program and Scalable Framework for Analyzing In-network Packet Traces.
NSDI
Da Yu, Yibo Zhu, Behnaz Arzani, Rodrigo Fonseca, Tianrong Zhang, Karl Deng, Lihua Yuan
2016 J jnl
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
Da Yu, Lijun Huang, Na-Mi Chen
2016 — conf
Towards a Network Marketplace in a Cloud.
HotCloud
Da Yu, Luo Mai, Somaya Arianfar, Rodrigo Fonseca, Orran Krieger, David Oran
2015 — conf
Exodus: toward automatic migration of enterprise network configurations to SDNs.
SOSR
Tim Nelson, Andrew D. Ferguson, Da Yu, Rodrigo Fonseca, Shriram Krishnamurthi
2015 — conf
Simon: scriptable interactive monitoring for SDNs.
SOSR
Tim Nelson, Da Yu, Yiming Li, Rodrigo Fonseca, Shriram Krishnamurthi
2014 Misc conf
CoChecker: Detecting Capability and Sensitive Data Leaks from Component Chains in Android.
ACISP
Xingmin Cui, Da Yu, Patrick P. F. Chan, Lucas Chi Kwong Hui, Siu-Ming Yiu, Sihan Qing
2012 Misc conf
Detecting SIP flooding attacks on IP Multimedia Subsystem (IMS).
ICNC
Zhiqiang Chen, Wushao Wen, Da Yu
2011 J jnl
High-cycle fatigue life prediction for Pb-free BGA under random vibration loading.
Microelectron. Reliab.
Da Yu, Abdullah Al-Yafawi, Tung T. Nguyen, Seungbae Park, Soonwan Chung
2010 Misc conf
A logistics demand forecasting model based on Grey neural network.
ICNC
Fangzhong Qi, Da Yu, Bernhard Holtkamp
2010 J jnl
Dynamic responses of PCB under product-level free drop impact.
Microelectron. Reliab.
Da Yu, Jae B. Kwak, Seungbae Park, John Lee