Hongyi Peng - RankMe

23 papers A* 2C 5Journal 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Federated and Parameter-Efficient Framework for Large Language Model Training in Medicine. CoRR Anran Li, Yuanyuan Chen, Wenjun Long, Yu Yin, Yan Hu, Hyunjae Kim, Weipeng Zhou, Yujia Zhou, Hongyi Peng, Yang Ren, Xuguang Ai, Zhenyue Qin, Ming Hu, Xiaoxiao Li, Han Yu, Yih-Chung Tham, Lucila Ohno-Machado, Hua Xu, Qingyu Chen
2026	J	`jnl`	Advances and Open Challenges in Federated Foundation Models. IEEE Commun. Surv. Tutorials Chao Ren, Han Yu, Hongyi Peng, Xiaoli Tang, Bo Zhao, Liping Yi, Alysa Ziying Tan, Yulan Gao, Anran Li, Xiaoxiao Li, Zengxiang Li, Qiang Yang
2026	J	`jnl`	Rethinking LoRA for Data Heterogeneous Federated Learning: Subspace and State Alignment. CoRR Hongyi Peng, Han Yu, Xiaoxiao Li, Qiang Yang
2025	J	`jnl`	PRIORITI: scoring and categorization-based threat prioritization. J. Supercomput. Rajendra Patil, Sivaanandh Muneeswaran, Vinay Sachidananda, Hongyi Peng, Mohan Gurusamy
2024	J	`jnl`	Advances and Open Challenges in Federated Learning with Foundation Models. CoRR Chao Ren, Han Yu, Hongyi Peng, Xiaoli Tang, Anran Li, Yulan Gao, Alysa Ziying Tan, Bo Zhao, Xiaoxiao Li, Zengxiang Li, Qiang Yang
2024	J	`jnl`	Efficient and Privacy-Preserving Feature Importance-Based Vertical Federated Learning. IEEE Trans. Mob. Comput. Anran Li, Jiahui Huang, Ju Jia, Hongyi Peng, Lan Zhang, Luu Anh Tuan, Han Yu, Xiang-Yang Li
2024	A*	`conf`	FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler. ICML Hongyi Peng, Han Yu, Xiaoli Tang, Xiaoxiao Li
2024	J	`jnl`	FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler. CoRR Hongyi Peng, Han Yu, Xiaoli Tang, Xiaoxiao Li
2024	J	`jnl`	Privacy-Preserving Data Selection for Horizontal and Vertical Federated Learning. IEEE Trans. Parallel Distributed Syst. Lan Zhang, Anran Li, Hongyi Peng, Feng Han, Fan Huang, Xiang-Yang Li
2023	J	`jnl`	FedCSS: Joint Client-and-Sample Selection for Hard Sample-Aware Noise-Robust Federated Learning. Proc. ACM Manag. Data Anran Li, Yue Cao, Jiabao Guo, Hongyi Peng, Qing Guo, Han Yu
2023	A*	`conf`	FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning. INFOCOM Anran Li, Hongyi Peng, Lan Zhang, Jiahui Huang, Qing Guo, Han Yu, Yang Liu
2023	J	`jnl`	FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning. CoRR Anran Li, Hongyi Peng, Lan Zhang, Jiahui Huang, Qing Guo, Han Yu, Yang Liu
2023	C	`conf`	ThreatLand: Extracting Intelligence from Audit Logs via NLP methods. PST Vinay Sachidananda, Rajendra Patil, Hongyi Peng, Yang Liu, Kwok-Yan Lam
2022	C	`conf`	Hiatus: Unsupervised Generative Approach for Detection of DoS and DDoS Attacks. SecureComm Sivaanandh Muneeswaran, Vinay Sachidananda, Rajendra Patil, Hongyi Peng, Mingchang Liu, Mohan Gurusamy
2022	C	`conf`	LOG-OFF: A Novel Behavior Based Authentication Compromise Detection Approach. PST Mingchang Liu, Vinay Sachidananda, Hongyi Peng, Rajendra Patil, Sivaanandh Muneeswaran, Mohan Gurusamy
2022	J	`jnl`	MARK: Fill in the blanks through a JointGAN based data augmentation for network anomaly detection. Comput. Secur. Rajendra Patil, Vinay Sachidananda, Hongyi Peng, Akshay Sachdeva, Mohan Gurusamy
2022	C	`conf`	ODDITY: An Ensemble Framework Leverages Contrastive Representation Learning for Superior Anomaly Detection. ICICS Hongyi Peng, Vinay Sachidananda, Teng Joon Lim, Rajendra Patil, Mingchang Liu, Sivaanandh Muneeswaran, Mohan Gurusamy
2022	C	`conf`	Peekaboo: Hide and Seek with Malware Through Lightweight Multi-feature Based Lenient Hybrid Approach. ICICS Mingchang Liu, Vinay Sachidananda, Hongyi Peng, Rajendra Patil, Sivaanandh Muneeswaran, Mohan Gurusamy
2020	J	`jnl`	A novel approach for detecting vulnerable IoT devices connected behind a home NAT. Comput. Secur. Yair Meidan, Vinay Sachidananda, Hongyi Peng, Racheli Sagron, Yuval Elovici, Asaf Shabtai
2016	J	`jnl`	Tail variance of portfolio under generalized Laplace distribution. Appl. Math. Comput. Chunfu Jiang, Hongyi Peng, Yu-Kuan Yang
2014	J	`jnl`	Variable selection for Fisher linear discriminant analysis using the modified sequential backward selection algorithm for the microarray data. Appl. Math. Comput. Hongyi Peng, Chunfu Jiang, Xiang Fang, Jinshan Liu
2013	J	`jnl`	Optimal gene subset selection using the modified SFFS algorithm for tumor classification. Neural Comput. Appl. Hongyi Peng, Yinlian Fu, Jinshan Liu, Xiang Fang, Chunfu Jiang
2007	J	`jnl`	Handling of incomplete data sets using ICA and SOM in data mining. Neural Comput. Appl. Hongyi Peng, Siming Zhu