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2020 – today
- 2024
[j9]Anran Li
, Jiahui Huang, Ju Jia, Hongyi Peng, Lan Zhang, Luu Anh Tuan, Han Yu, Xiang-Yang Li:
Efficient and Privacy-Preserving Feature Importance-Based Vertical Federated Learning. IEEE Trans. Mob. Comput. 23(6): 7238-7255 (2024)- [j8]Lan Zhang, Anran Li, Hongyi Peng, Feng Han, Fan Huang, Xiang-Yang Li:
Privacy-Preserving Data Selection for Horizontal and Vertical Federated Learning. IEEE Trans. Parallel Distributed Syst. 35(11): 2054-2068 (2024) - [c7]Hongyi Peng, Han Yu, Xiaoli Tang, Xiaoxiao Li:
FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler. ICML 2024 - [i3]Chao Ren, Han Yu, Hongyi Peng, Xiaoli Tang, Anran Li, Yulan Gao, Alysa Ziying Tan, Bo Zhao, Xiaoxiao Li, Zengxiang Li, Qiang Yang:
Advances and Open Challenges in Federated Learning with Foundation Models. CoRR abs/2404.15381 (2024) - [i2]Hongyi Peng, Han Yu, Xiaoli Tang, Xiaoxiao Li:
FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler. CoRR abs/2405.15458 (2024) - 2023
- [j7]Anran Li, Yue Cao, Jiabao Guo, Hongyi Peng, Qing Guo, Han Yu:
FedCSS: Joint Client-and-Sample Selection for Hard Sample-Aware Noise-Robust Federated Learning. Proc. ACM Manag. Data 1(3): 212:1-212:24 (2023) - [c6]Anran Li, Hongyi Peng, Lan Zhang, Jiahui Huang, Qing Guo, Han Yu, Yang Liu:
FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning. INFOCOM 2023: 1-10 - [c5]Vinay Sachidananda, Rajendra Patil, Hongyi Peng, Yang Liu, Kwok-Yan Lam:
ThreatLand: Extracting Intelligence from Audit Logs via NLP methods. PST 2023: 1-6 - [i1]Anran Li, Hongyi Peng, Lan Zhang, Jiahui Huang, Qing Guo, Han Yu, Yang Liu:
FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning. CoRR abs/2302.10417 (2023) - 2022
- [j6]Rajendra Patil, Vinay Sachidananda, Hongyi Peng, Akshay Sachdeva, Mohan Gurusamy:
MARK: Fill in the blanks through a JointGAN based data augmentation for network anomaly detection. Comput. Secur. 119: 102759 (2022) - [c4]Hongyi Peng, Vinay Sachidananda, Teng Joon Lim, Rajendra Patil, Mingchang Liu, Sivaanandh Muneeswaran, Mohan Gurusamy:
ODDITY: An Ensemble Framework Leverages Contrastive Representation Learning for Superior Anomaly Detection. ICICS 2022: 417-437 - [c3]Mingchang Liu, Vinay Sachidananda, Hongyi Peng, Rajendra Patil, Sivaanandh Muneeswaran, Mohan Gurusamy:
Peekaboo: Hide and Seek with Malware Through Lightweight Multi-feature Based Lenient Hybrid Approach. ICICS 2022: 525-545 - [c2]Mingchang Liu, Vinay Sachidananda, Hongyi Peng, Rajendra Patil, Sivaanandh Muneeswaran, Mohan Gurusamy:
LOG-OFF: A Novel Behavior Based Authentication Compromise Detection Approach. PST 2022: 1-10 - [c1]Sivaanandh Muneeswaran, Vinay Sachidananda, Rajendra Patil, Hongyi Peng, Mingchang Liu, Mohan Gurusamy:
Hiatus: Unsupervised Generative Approach for Detection of DoS and DDoS Attacks. SecureComm 2022: 529-546 - 2020
- [j5]Yair Meidan, Vinay Sachidananda, Hongyi Peng, Racheli Sagron, Yuval Elovici, Asaf Shabtai:
A novel approach for detecting vulnerable IoT devices connected behind a home NAT. Comput. Secur. 97: 101968 (2020)
2010 – 2019
- 2016
- [j4]Chunfu Jiang, Hongyi Peng, Yu-Kuan Yang:
Tail variance of portfolio under generalized Laplace distribution. Appl. Math. Comput. 282: 187-203 (2016) - 2014
- [j3]Hongyi Peng, Chunfu Jiang, Xiang Fang, Jinshan Liu:
Variable selection for Fisher linear discriminant analysis using the modified sequential backward selection algorithm for the microarray data. Appl. Math. Comput. 238: 132-140 (2014) - 2013
- [j2]Hongyi Peng, Yinlian Fu, Jinshan Liu, Xiang Fang, Chunfu Jiang:
Optimal gene subset selection using the modified SFFS algorithm for tumor classification. Neural Comput. Appl. 23(6): 1531-1538 (2013)
2000 – 2009
- 2007
- [j1]Hongyi Peng, Siming Zhu:
Handling of incomplete data sets using ICA and SOM in data mining. Neural Comput. Appl. 16(2): 167-172 (2007)
Coauthor Index
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