Huanyu Zhang

According to our database, Huanyu Zhang authored at least 37 papers between 2015 and 2024.

Collaborative distances:

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

2024

LogoRA: Local-Global Representation Alignment for Robust Time Series Classification.

Huanyu Zhang, Yifan Zhang, Zhang Zhang, Qingsong Wen, Liang Wang

IEEE Trans. Knowl. Data Eng., December, 2024

Contraction of Locally Differentially Private Mechanisms.

Shahab Asoodeh, Huanyu Zhang

IEEE J. Sel. Areas Inf. Theory, 2024

Knowledge-aware fine-grained attention networks with refined knowledge graph embedding for personalized recommendation.

Wei Wang, Xiaoxuan Shen, Baolin Yi, Huanyu Zhang, Jianfang Liu, Chao Dai

Expert Syst. Appl., 2024

Contrastive multi-interest graph attention network for knowledge-aware recommendation.

Jianfang Liu, Wei Wang, Baolin Yi, Xiaoxuan Shen, Huanyu Zhang

Expert Syst. Appl., 2024

MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?

Yifan Zhang, Huanyu Zhang, Haochen Tian, Chaoyou Fu, Shuangqing Zhang, Junfei Wu, Feng Li, Kun Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan

CoRR, 2024

Causal Feature-Enhanced Collaborative Filtering Algorithm.

Chao Dai, Baolin Yi, Xiaoxuan Shen, Huanyu Zhang, Wei Wang, WeiZheng Luo

Proceedings of the International Joint Conference on Neural Networks, 2024

Statler: State-Maintaining Language Models for Embodied Reasoning.

Takuma Yoneda, Jiading Fang, Peng Li, Huanyu Zhang, Tianchong Jiang, Shengjie Lin, Ben Picker, David Yunis, Hongyuan Mei, Matthew R. Walter

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

RIECN: learning relation-based interactive embedding convolutional network for knowledge graph.

Wei Wang, Xiaoxuan Shen, Huanyu Zhang, Zhifei Li, Baolin Yi

Neural Comput. Appl., April, 2023

Research on Communication Technology of OPGW Line in Distribution Network under Interference Environment.

Bo Li, Meiqin Huang, Huanyu Zhang, Mi Lin, Shuyi He, Liming Chen

EAI Endorsed Trans. Scalable Inf. Syst., 2023

Generalized Linear Models in Non-interactive Local Differential Privacy with Public Data.

Di Wang, Lijie Hu, Huanyu Zhang, Marco Gaboardi, Jinhui Xu

J. Mach. Learn. Res., 2023

KGAN: Knowledge Grouping Aggregation Network for course recommendation in MOOCs.

Huanyu Zhang, Xiaoxuan Shen, Baolin Yi, Wei Wang, Yong Feng

Expert Syst. Appl., 2023

DP-HyPO: An Adaptive Private Hyperparameter Optimization Framework.

Hua Wang, Sheng Gao, Huanyu Zhang, Weijie J. Su, Milan Shen

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

DP-HyPO: An Adaptive Private Framework for Hyperparameter Optimization.

Hua Wang, Sheng Gao, Huanyu Zhang, Weijie J. Su, Milan Shen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Federated Linear Contextual Bandits with User-level Differential Privacy.

Ruiquan Huang, Huanyu Zhang, Luca Melis, Milan Shen, Meisam Hejazinia, Jing Yang

Proceedings of the International Conference on Machine Learning, 2023

2022

Retrieval of Daytime Surface Upward Longwave Radiation Under All-Sky Conditions With Remote Sensing and Meteorological Reanalysis Data.

Huanyu Zhang, Bo-Hui Tang

IEEE Trans. Geosci. Remote. Sens., 2022

Analytical Composition of Differential Privacy via the Edgeworth Accountant.

Hua Wang, Sheng Gao, Huanyu Zhang, Milan Shen, Weijie J. Su

CoRR, 2022

Maxwell's Demon in Tail-tolerant, Resource-efficient Serverless Computing.

Huanyu Zhang, Wenhao Huang, Laiping Zhao, Keqiu Li

Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022

Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data.

Gautam Kamath, Xingtu Liu, Huanyu Zhang

Proceedings of the International Conference on Machine Learning, 2022

Robust Estimation for Random Graphs.

Jayadev Acharya, Ayush Jain, Gautam Kamath, Ananda Theertha Suresh, Huanyu Zhang

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

INFless: a native serverless system for low-latency, high-throughput inference.

Yanan Yang, Laiping Zhao, Yiming Li, Huanyu Zhang, Jie Li, Mingyang Zhao, Xingzhen Chen, Keqiu Li

Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022

2021

Statistical Inference in the Differential Privacy Model.

Huanyu Zhang

CoRR, 2021

Wide Network Learning with Differential Privacy.

Huanyu Zhang, Ilya Mironov, Meisam Hejazinia

CoRR, 2021

Joint Design of Transmit Waveforms and Receive Filters for MIMO Radar via Manifold Optimization.

Huanyu Zhang, Ziping Zhao

CoRR, 2021

Globally Convergent Algorithms for Learning Multivariate Generalized Gaussian Distributions.

Bin Wang, Huanyu Zhang, Ziping Zhao, Ying Sun

Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Robust Testing and Estimation under Manipulation Attacks.

Jayadev Acharya, Ziteng Sun, Huanyu Zhang

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

Differentially Private Assouad, Fano, and Le Cam.

Jayadev Acharya, Ziteng Sun, Huanyu Zhang

Proceedings of the Algorithmic Learning Theory, 2021

2020

INSPECTRE: Privately Estimating the Unseen.

Jayadev Acharya, Gautam Kamath, Ziteng Sun, Huanyu Zhang

J. Priv. Confidentiality, 2020

Privately Learning Markov Random Fields.

Huanyu Zhang, Gautam Kamath, Janardhan Kulkarni, Zhiwei Steven Wu

Proceedings of the 37th International Conference on Machine Learning, 2020

Locally Private Hypothesis Selection.

Sivakanth Gopi, Gautam Kamath, Janardhan Kulkarni, Aleksandar Nikolov, Zhiwei Steven Wu, Huanyu Zhang

Proceedings of the Conference on Learning Theory, 2020

2019

Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data.

Di Wang, Huanyu Zhang, Marco Gaboardi, Jinhui Xu

CoRR, 2019

Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication.

Jayadev Acharya, Ziteng Sun, Huanyu Zhang

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Communication Efficient, Sample Optimal, Linear Time Locally Private Discrete Distribution Estimation.

Jayadev Acharya, Ziteng Sun, Huanyu Zhang

CoRR, 2018

Differentially Private Testing of Identity and Closeness of Discrete Distributions.

Jayadev Acharya, Ziteng Sun, Huanyu Zhang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016

Reliability and longer range for low power transmitters with on demand network MIMO.

Mary Ann Weitnauer, Qiongjie Lin, Huanyu Zhang, Hongxian Tian, Sean Nowlan, Gedeon Nyengele, Sajith Mohan Chakkedath, Jim Slratigos

Proceedings of the 2016 IEEE International Conference on RFID, 2016

Design and implementation of device-to-device software-defined networks.

Mingxin Zhou, Huanyu Zhang, Shengli Zhang, Lingyang Song, Yonghui Li, Zhu Han

Proceedings of the 2016 IEEE International Conference on Communications, 2016

2015

Demo: Software-Defined Device to Device Communication in Multiple Cells.

Huanyu Zhang, Mingxin Zhou, Lingyang Song, Shengli Zhang

Proceedings of the 16th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2015