Zhang, Yehong
- Collaborative Machine Learning with Incentive-Aware Model Rewards
2020/10/24 by Sim, Rachael Hwee Ling, Zhang, Yehong, Chan, Mun Choon +1 · 8 citations
#Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multiagent Systems (cs.MA)
- SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC
2024/01/01 by Jinglong Luo, Luo, Jinglong, Yehong Zhang +12 · 5 citations
Computer Science · Engineering · #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Topic Modeling
- Near-Optimal Active Learning of Multi-Output Gaussian Processes
2015/11/21 by Yehong Zhang, Zhang, Yehong, Trong Nghia Hoang +5 · 2 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation
2021/04/26 by Wei Zeng, Zeng, Wei, Xiaozhe Ren +72 · 6 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Incentives in Private Collaborative Machine Learning
2024/04/02 by Sim, Rachael Hwee Ling, Zhang, Yehong, Hoang, Trong Nghia +3 · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- RingMoE: Mixture-of-Modality-Experts Multi-Modal Foundation Models for Universal Remote Sensing Image Interpretation
2025/04/04 by Bi, Hanbo, Feng, Yingchao, Tong, Boyuan +11 · 7 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression
2019/12/05 by Tong Teng, Teng, Tong, Jie Chen +5 · 1 citation
Computer Science · Engineering · #Gaussian Processes and Bayesian Inference #Advanced Multi-Objective Optimization Algorithms #Control Systems and Identification
- Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing
2023/06/26 by Jinglong Luo, Yehong Zhang, Luo, Jinglong +11 · 1 citation
Computer Science · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
- EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection
2023/12/19 by Xin Mu, Yu Wang, Mu, Xin +11 · 1 citation
Computer Science · #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Physical Unclonable Functions (PUFs) and Hardware Security #Privacy-Preserving Technologies in Data
- COPR: Continual Human Preference Learning via Optimal Policy Regularization
2024/02/22 by Han Zhang, Zhang, Han, Lin Gui +19 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning and Data Classification #Text and Document Classification Technologies