Huanyu Zhang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 45

Top Topics

Differential Privacy

Top Venues

Expert Syst. Appl.

Publications

Shahab Asoodeh, Huanyu Zhang
Contraction of Locally Differentially Private Mechanisms. IEEE J. Sel. Areas Inf. Theory 5 (2024)
Jianfang Liu, Wei Wang, Baolin Yi, Xiaoxuan Shen, Huanyu Zhang
Contrastive multi-interest graph attention network for knowledge-aware recommendation. Expert Syst. Appl. 255 (2024)
Wei Wang, Xiaoxuan Shen, Baolin Yi, Huanyu Zhang, Jianfang Liu, Chao Dai
Knowledge-aware fine-grained attention networks with refined knowledge graph embedding for personalized recommendation. Expert Syst. Appl. 249 (2024)
Takuma Yoneda, Jiading Fang, Peng Li, Huanyu Zhang, Tianchong Jiang, Shengjie Lin, Ben Picker, David Yunis, Hongyuan Mei, Matthew R. Walter
Statler: State-Maintaining Language Models for Embodied Reasoning. ICRA (2024)
Hua Wang, Sheng Gao, Huanyu Zhang, Weijie J. Su, Milan Shen
DP-HyPO: An Adaptive Private Hyperparameter Optimization Framework. CoRR (2023)
Hua Wang, Sheng Gao, Huanyu Zhang, Weijie J. Su, Milan Shen
DP-HyPO: An Adaptive Private Framework for Hyperparameter Optimization. NeurIPS (2023)
Di Wang, Lijie Hu, Huanyu Zhang, Marco Gaboardi, Jinhui Xu
Generalized Linear Models in Non-interactive Local Differential Privacy with Public Data. J. Mach. Learn. Res. 24 (2023)
Ruiquan Huang, Huanyu Zhang, Luca Melis, Milan Shen, Meisam Hejazinia, Jing Yang
Federated Linear Contextual Bandits with User-level Differential Privacy. ICML (2023)
Wei Wang, Xiaoxuan Shen, Huanyu Zhang, Zhifei Li, Baolin Yi
RIECN: learning relation-based interactive embedding convolutional network for knowledge graph. Neural Comput. Appl. 35 (11) (2023)
Ruiquan Huang, Huanyu Zhang, Luca Melis, Milan Shen, Meisam Hajzinia, Jing Yang
Federated Linear Contextual Bandits with User-level Differential Privacy. CoRR (2023)
Takuma Yoneda, Jiading Fang, Peng Li, Huanyu Zhang, Tianchong Jiang, Shengjie Lin, Ben Picker, David Yunis, Hongyuan Mei, Matthew R. Walter
Statler: State-Maintaining Language Models for Embodied Reasoning. CoRR (2023)
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 (2023)
Huanyu Zhang, Xiaoxuan Shen, Baolin Yi, Wei Wang, Yong Feng
KGAN: Knowledge Grouping Aggregation Network for course recommendation in MOOCs. Expert Syst. Appl. 211 (2023)
Bo Li, Meiqin Huang, Huanyu Zhang, Mi Lin, Shuyi He, Liming Chen
Research on Communication Technology of OPGW Line in Distribution Network under Interference Environment. EAI Endorsed Trans. Scalable Inf. Syst. 10 (3) (2023)
Gautam Kamath, Xingtu Liu, Huanyu Zhang
Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data. ICML (2022)
Yanan Yang, Laiping Zhao, Yiming Li, Huanyu Zhang, Jie Li, Mingyang Zhao, Xingzhen Chen, Keqiu Li
INFless: a native serverless system for low-latency, high-throughput inference. ASPLOS (2022)
Shahab Asoodeh, Huanyu Zhang
Contraction of Locally Differentially Private Mechanisms. CoRR (2022)
Huanyu Zhang, Bo-Hui Tang
Retrieval of Daytime Surface Upward Longwave Radiation Under All-Sky Conditions With Remote Sensing and Meteorological Reanalysis Data. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Huanyu Zhang, Wenhao Huang, Laiping Zhao, Keqiu Li
Maxwell's Demon in Tail-tolerant, Resource-efficient Serverless Computing. ICPADS (2022)
Hua Wang, Sheng Gao, Huanyu Zhang, Milan Shen, Weijie J. Su
Analytical Composition of Differential Privacy via the Edgeworth Accountant. CoRR (2022)
Jayadev Acharya, Ayush Jain, Gautam Kamath, Ananda Theertha Suresh, Huanyu Zhang
Robust Estimation for Random Graphs. COLT (2022)
Huanyu Zhang, Ziping Zhao
Joint Design of Transmit Waveforms and Receive Filters for MIMO Radar via Manifold Optimization. CoRR (2021)
Jayadev Acharya, Ziteng Sun, Huanyu Zhang
Robust Testing and Estimation under Manipulation Attacks. ICML (2021)
Bin Wang, Huanyu Zhang, Ziping Zhao, Ying Sun
Globally Convergent Algorithms for Learning Multivariate Generalized Gaussian Distributions. SSP (2021)
Jayadev Acharya, Ziteng Sun, Huanyu Zhang
Differentially Private Assouad, Fano, and Le Cam. ALT (2021)
Huanyu Zhang, Ilya Mironov, Meisam Hejazinia
Wide Network Learning with Differential Privacy. CoRR (2021)
Jayadev Acharya, Ziteng Sun, Huanyu Zhang
Robust Testing and Estimation under Manipulation Attacks. CoRR (2021)
Jayadev Acharya, Ayush Jain, Gautam Kamath, Ananda Theertha Suresh, Huanyu Zhang
Robust Estimation for Random Graphs. CoRR (2021)
Gautam Kamath, Xingtu Liu, Huanyu Zhang
Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data. CoRR (2021)
Huanyu Zhang
Statistical Inference in the Differential Privacy Model. CoRR (2021)
Jayadev Acharya, Ziteng Sun, Huanyu Zhang
Differentially Private Assouad, Fano, and Le Cam. CoRR (2020)
Sivakanth Gopi, Gautam Kamath, Janardhan Kulkarni, Aleksandar Nikolov, Zhiwei Steven Wu, Huanyu Zhang
Locally Private Hypothesis Selection. CoRR (2020)
Huanyu Zhang, Gautam Kamath, Janardhan Kulkarni, Zhiwei Steven Wu
Privately Learning Markov Random Fields. CoRR (2020)
Huanyu Zhang, Gautam Kamath, Janardhan Kulkarni, Zhiwei Steven Wu
Privately Learning Markov Random Fields. ICML (2020)
Jayadev Acharya, Gautam Kamath, Ziteng Sun, Huanyu Zhang
INSPECTRE: Privately Estimating the Unseen. J. Priv. Confidentiality 10 (2) (2020)
Sivakanth Gopi, Gautam Kamath, Janardhan Kulkarni, Aleksandar Nikolov, Zhiwei Steven Wu, Huanyu Zhang
Locally Private Hypothesis Selection. COLT (2020)
Di Wang, Huanyu Zhang, Marco Gaboardi, Jinhui Xu
Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data. CoRR (2019)
Jayadev Acharya, Ziteng Sun, Huanyu Zhang
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication. AISTATS (2019)
Jayadev Acharya, Ziteng Sun, Huanyu Zhang
Communication Efficient, Sample Optimal, Linear Time Locally Private Discrete Distribution Estimation. CoRR (2018)
Jayadev Acharya, Ziteng Sun, Huanyu Zhang
Differentially Private Testing of Identity and Closeness of Discrete Distributions. NeurIPS (2018)
Jayadev Acharya, Gautam Kamath, Ziteng Sun, Huanyu Zhang
INSPECTRE: Privately Estimating the Unseen. ICML (2018)
Jayadev Acharya, Gautam Kamath, Ziteng Sun, Huanyu Zhang
INSPECTRE: Privately Estimating the Unseen. CoRR (2018)
Jayadev Acharya, Ziteng Sun, Huanyu Zhang
Differentially Private Testing of Identity and Closeness of Discrete Distributions. CoRR (2017)
Mingxin Zhou, Huanyu Zhang, Shengli Zhang, Lingyang Song, Yonghui Li, Zhu Han
Design and implementation of device-to-device software-defined networks. ICC (2016)
Mary Ann Weitnauer, Qiongjie Lin, Huanyu Zhang, Hongxian Tian, Sean Nowlan, Gedeon Nyengele, Sajith Mohan Chakkedath, Jim Slratigos
Reliability and longer range for low power transmitters with on demand network MIMO. IEEE RFID (2016)
Huanyu Zhang, Mingxin Zhou, Lingyang Song, Shengli Zhang
Demo: Software-Defined Device to Device Communication in Multiple Cells. MobiHoc (2015)