Yehong Zhang

According to our database, Yehong Zhang authored at least 22 papers between 2016 and 2024.

Collaborative distances:

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

2024

Efficient privacy-preserving Gaussian process via secure multi-party computation.

Shiyu Liu, Jinglong Luo, Yehong Zhang, Hui Wang, Yue Yu, Zenglin Xu

J. Syst. Archit., 2024

Accelerating LASG/IAP climate system ocean model version 3 for performance portability using Kokkos.

Junlin Wei, Pengfei Lin, Jinrong Jiang, Hailong Liu, Lian Zhao, Yehong Zhang, Xiang Han, Feng Zhang, Jian Huang, Yuzhu Wang, Youyun Li, Yue Yu, Xuebin Chi

Future Gener. Comput. Syst., 2024

Centaur: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference.

Jinglong Luo, Guanzhong Chen, Yehong Zhang, Shiyu Liu, Hui Wang, Yue Yu, Xun Zhou, Yuan Qi, Zenglin Xu

CoRR, 2024

Incentives in Private Collaborative Machine Learning.

Rachael Hwee Ling Sim, Yehong Zhang, Trong Nghia Hoang, Xinyi Xu, Bryan Kian Hsiang Low, Patrick Jaillet

CoRR, 2024

SecFormer: Towards Fast and Accurate Privacy-Preserving Inference for Large Language Models.

Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Xin Mu, Hui Wang, Yue Yu, Zenglin Xu

CoRR, 2024

A Performance-Portable Kilometer-Scale Global Ocean Model on ORISE and New Sunway Heterogeneous Supercomputers.

Junlin Wei, Xiang Han, Jiangfeng Yu, Jinrong Jiang, Hailong Liu, Pengfei Lin, Maoxue Yu, Kai Xu, Lian Zhao, Pengfei Wang, Weipeng Zheng, Jingwei Xie, Yanzhi Zhou, Tao Zhang, Feng Zhang, Yehong Zhang, Yue Yu, Yuzhu Wang, Yidi Bai, Chen Li, Zipeng Yu, Haoyu Deng, Yaxin Li, Xuebin Chi

Proceedings of the International Conference for High Performance Computing, 2024

Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy.

Shiyu Liu, Wei Shi, Zenglin Xu, Shaogao Lv, Yehong Zhang, Hui Wang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Model Provenance via Model DNA.

Xin Mu, Yu Wang, Yehong Zhang, Jiaqi Zhang, Hui Wang, Yang Xiang, Yue Yu

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC.

Jinglong Luo, Yehong Zhang, Zhuo Zhang, Jiaqi Zhang, Xin Mu, Hui Wang, Yue Yu, Zenglin Xu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection.

Xin Mu, Yu Wang, Zhengan Huang, Junzuo Lai, Yehong Zhang, Hui Wang, Yue Yu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Pruning during training by network efficacy modeling.

Mohit Rajpal, Yehong Zhang, Bryan Kian Hsiang Low

Mach. Learn., July, 2023

Fuzz Driver Synthesis for Rust Generic APIs.

Yehong Zhang, Jun Wu, Hui Xu

CoRR, 2023

Hessian-Aware Bayesian Optimization for Decision Making Systems.

Mohit Rajpal, Lac Gia Tran, Yehong Zhang, Bryan Kian Hsiang Low

CoRR, 2023

Practical privacy-preserving Gaussian process regression via secret sharing.

Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Shuang Qin, Hui Wang, Yue Yu, Zenglin Xu

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Incentives in Private Collaborative Machine Learning.

Rachael Hwee Ling Sim, Yehong Zhang, Nghia Hoang, Xinyi Xu, Bryan Kian Hsiang Low, Patrick Jaillet

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

2021

PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation.

Wei Zeng, Xiaozhe Ren, Teng Su, Hui Wang, Yi Liao, Zhiwei Wang, Xin Jiang, ZhenZhang Yang, Kaisheng Wang, Xiaoda Zhang, Chen Li, Ziyan Gong, Yifan Yao, Xinjing Huang, Jun Wang, Jianfeng Yu, Qi Guo, Yue Yu, Yan Zhang, Jin Wang, Hengtao Tao, Dasen Yan, Zexuan Yi, Fang Peng, Fangqing Jiang, Han Zhang, Lingfeng Deng, Yehong Zhang, Zhe Lin, Chao Zhang, Shaojie Zhang, Mingyue Guo, Shanzhi Gu, Gaojun Fan, Yaowei Wang, Xuefeng Jin, Qun Liu, Yonghong Tian

CoRR, 2021

Collaborative Bayesian Optimization with Fair Regret.

Rachael Hwee Ling Sim, Yehong Zhang, Bryan Kian Hsiang Low, Patrick Jaillet

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

2020

Collaborative Machine Learning with Incentive-Aware Model Rewards.

Rachael Hwee Ling Sim, Yehong Zhang, Mun Choon Chan, Bryan Kian Hsiang Low

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

Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression.

Tong Teng, Jie Chen, Yehong Zhang, Bryan Kian Hsiang Low

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Bayesian Optimization with Binary Auxiliary Information.

Yehong Zhang, Zhongxiang Dai, Bryan Kian Hsiang Low

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2016

Concept Based Hybrid Fusion of Multimodal Event Signals.

Yuhui Wang, Christian von der Weth, Yehong Zhang, Kian Hsiang Low, Vivek K. Singh, Mohan S. Kankanhalli

Proceedings of the IEEE International Symposium on Multimedia, 2016

Near-Optimal Active Learning of Multi-Output Gaussian Processes.

Yehong Zhang, Trong Nghia Hoang, Kian Hsiang Low, Mohan S. Kankanhalli

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016