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Huanyu Zhang
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2020 – today
- 2024
- [j9]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: 123710 (2024) - [j8]Jianfang Liu, Wei Wang, Baolin Yi, Xiaoxuan Shen, Huanyu Zhang:
Contrastive multi-interest graph attention network for knowledge-aware recommendation. Expert Syst. Appl. 255: 124748 (2024) - [j7]Shahab Asoodeh, Huanyu Zhang:
Contraction of Locally Differentially Private Mechanisms. IEEE J. Sel. Areas Inf. Theory 5: 385-395 (2024) - [c19]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: 15083-15091 - [c18]Chao Dai, Baolin Yi, Xiaoxuan Shen, Huanyu Zhang, Wei Wang, WeiZheng Luo:
Causal Feature-Enhanced Collaborative Filtering Algorithm. IJCNN 2024: 1-9 - [i21]Yi-Fan 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:
MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? CoRR abs/2408.13257 (2024) - [i20]Huanyu Zhang, Yi-Fan Zhang, Zhang Zhang, Qingsong Wen, Liang Wang:
LogoRA: Local-Global Representation Alignment for Robust Time Series Classification. CoRR abs/2409.12169 (2024) - 2023
- [j6]Huanyu Zhang, Xiaoxuan Shen, Baolin Yi, Wei Wang, Yong Feng:
KGAN: Knowledge Grouping Aggregation Network for course recommendation in MOOCs. Expert Syst. Appl. 211: 118344 (2023) - [j5]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: 132:1-132:57 (2023) - [j4]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): 8343-8356 (2023) - [j3]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): e4 (2023) - [c17]Ruiquan Huang, Huanyu Zhang, Luca Melis, Milan Shen, Meisam Hejazinia, Jing Yang:
Federated Linear Contextual Bandits with User-level Differential Privacy. ICML 2023: 14060-14095 - [c16]Hua Wang, Sheng Gao, Huanyu Zhang, Weijie J. Su, Milan Shen:
DP-HyPO: An Adaptive Private Framework for Hyperparameter Optimization. NeurIPS 2023 - [i19]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) - [i18]Ruiquan Huang, Huanyu Zhang, Luca Melis, Milan Shen, Meisam Hejazinia, Jing Yang:
Federated Linear Contextual Bandits with User-level Differential Privacy. CoRR abs/2306.05275 (2023) - [i17]Hua Wang, Sheng Gao, Huanyu Zhang, Weijie J. Su, Milan Shen:
DP-HyPO: An Adaptive Private Hyperparameter Optimization Framework. CoRR abs/2306.05734 (2023) - [i16]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 abs/2306.17840 (2023) - 2022
- [j2]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: 1-13 (2022) - [c15]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: 768-781 - [c14]Jayadev Acharya, Ayush Jain, Gautam Kamath, Ananda Theertha Suresh, Huanyu Zhang:
Robust Estimation for Random Graphs. COLT 2022: 130-166 - [c13]Gautam Kamath, Xingtu Liu, Huanyu Zhang:
Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data. ICML 2022: 10633-10660 - [c12]Huanyu Zhang, Wenhao Huang, Laiping Zhao, Keqiu Li:
Maxwell's Demon in Tail-tolerant, Resource-efficient Serverless Computing. ICPADS 2022: 762-769 - [i15]Hua Wang, Sheng Gao, Huanyu Zhang, Milan Shen, Weijie J. Su:
Analytical Composition of Differential Privacy via the Edgeworth Accountant. CoRR abs/2206.04236 (2022) - [i14]Shahab Asoodeh, Huanyu Zhang:
Contraction of Locally Differentially Private Mechanisms. CoRR abs/2210.13386 (2022) - 2021
- [c11]Jayadev Acharya, Ziteng Sun, Huanyu Zhang:
Differentially Private Assouad, Fano, and Le Cam. ALT 2021: 48-78 - [c10]Jayadev Acharya, Ziteng Sun, Huanyu Zhang:
Robust Testing and Estimation under Manipulation Attacks. ICML 2021: 43-53 - [c9]Bin Wang, Huanyu Zhang, Ziping Zhao, Ying Sun:
Globally Convergent Algorithms for Learning Multivariate Generalized Gaussian Distributions. SSP 2021: 336-340 - [i13]Huanyu Zhang, Ziping Zhao:
Joint Design of Transmit Waveforms and Receive Filters for MIMO Radar via Manifold Optimization. CoRR abs/2102.05457 (2021) - [i12]Huanyu Zhang, Ilya Mironov, Meisam Hejazinia:
Wide Network Learning with Differential Privacy. CoRR abs/2103.01294 (2021) - [i11]Jayadev Acharya, Ziteng Sun, Huanyu Zhang:
Robust Testing and Estimation under Manipulation Attacks. CoRR abs/2104.10740 (2021) - [i10]Gautam Kamath, Xingtu Liu, Huanyu Zhang:
Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data. CoRR abs/2106.01336 (2021) - [i9]Huanyu Zhang:
Statistical Inference in the Differential Privacy Model. CoRR abs/2108.05000 (2021) - [i8]Jayadev Acharya, Ayush Jain, Gautam Kamath, Ananda Theertha Suresh, Huanyu Zhang:
Robust Estimation for Random Graphs. CoRR abs/2111.05320 (2021) - 2020
- [j1]Jayadev Acharya, Gautam Kamath, Ziteng Sun, Huanyu Zhang:
INSPECTRE: Privately Estimating the Unseen. J. Priv. Confidentiality 10(2) (2020) - [c8]Sivakanth Gopi, Gautam Kamath, Janardhan Kulkarni, Aleksandar Nikolov, Zhiwei Steven Wu, Huanyu Zhang:
Locally Private Hypothesis Selection. COLT 2020: 1785-1816 - [c7]Huanyu Zhang, Gautam Kamath, Janardhan Kulkarni, Zhiwei Steven Wu:
Privately Learning Markov Random Fields. ICML 2020: 11129-11140 - [i7]Huanyu Zhang, Gautam Kamath, Janardhan Kulkarni, Zhiwei Steven Wu:
Privately Learning Markov Random Fields. CoRR abs/2002.09463 (2020) - [i6]Sivakanth Gopi, Gautam Kamath, Janardhan Kulkarni, Aleksandar Nikolov, Zhiwei Steven Wu, Huanyu Zhang:
Locally Private Hypothesis Selection. CoRR abs/2002.09465 (2020) - [i5]Jayadev Acharya, Ziteng Sun, Huanyu Zhang:
Differentially Private Assouad, Fano, and Le Cam. CoRR abs/2004.06830 (2020)
2010 – 2019
- 2019
- [c6]Jayadev Acharya, Ziteng Sun, Huanyu Zhang:
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication. AISTATS 2019: 1120-1129 - [i4]Di Wang, Huanyu Zhang, Marco Gaboardi, Jinhui Xu:
Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data. CoRR abs/1910.00482 (2019) - 2018
- [c5]Jayadev Acharya, Gautam Kamath, Ziteng Sun, Huanyu Zhang:
INSPECTRE: Privately Estimating the Unseen. ICML 2018: 30-39 - [c4]Jayadev Acharya, Ziteng Sun, Huanyu Zhang:
Differentially Private Testing of Identity and Closeness of Discrete Distributions. NeurIPS 2018: 6879-6891 - [i3]Jayadev Acharya, Ziteng Sun, Huanyu Zhang:
Communication Efficient, Sample Optimal, Linear Time Locally Private Discrete Distribution Estimation. CoRR abs/1802.04705 (2018) - [i2]Jayadev Acharya, Gautam Kamath, Ziteng Sun, Huanyu Zhang:
INSPECTRE: Privately Estimating the Unseen. CoRR abs/1803.00008 (2018) - 2017
- [i1]Jayadev Acharya, Ziteng Sun, Huanyu Zhang:
Differentially Private Testing of Identity and Closeness of Discrete Distributions. CoRR abs/1707.05128 (2017) - 2016
- [c3]Mingxin Zhou, Huanyu Zhang, Shengli Zhang, Lingyang Song, Yonghui Li, Zhu Han:
Design and implementation of device-to-device software-defined networks. ICC 2016: 1-6 - [c2]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: 19-28 - 2015
- [c1]Huanyu Zhang, Mingxin Zhou, Lingyang Song, Shengli Zhang:
Demo: Software-Defined Device to Device Communication in Multiple Cells. MobiHoc 2015: 401-402
Coauthor Index
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