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Yehong Zhang
Yehong Zhang
Pengcheng Laboratory
Email confirmado em pcl.ac.cn
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PanGu-: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation
W Zeng, X Ren, T Su, H Wang, Y Liao, Z Wang, X Jiang, ZZ Yang, K Wang, ...
arXiv preprint arXiv:2104.12369, 2021
2542021
Collaborative Machine Learning with Incentive-Aware Model Rewards
RHL Sim, Y Zhang, MC Chan, BKH Low
37th International Conference on Machine Learning (ICML-20), 2020
1792020
Information-Based Multi-Fidelity Bayesian Optimization
Y Zhang, TN Hoang, BKH Low, M Kankanhalli
NIPS Workshop on Bayesian Optimization, 2017
812017
Near-optimal Active Learning of Multi-Output Gaussian Processes
Y Zhang, TN Hoang, KH Low, M Kankanhalli
Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI-16 …, 2016
432016
Collaborative Bayesian Optimization with Fair Regret
RHL Sim, Y Zhang, BKH Low, P Jaillet
International Conference on Machine Learning (ICML-2021), 9691-9701, 2021
292021
Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression
T Teng, J Chen, Y Zhang, KH Low
34th AAAI Conference on Artificial Intelligence (AAAI-20), 2020
292020
Bayesian Optimization with Binary Auxiliary Information
Y Zhang, Z Dai, KH Low
35th Conference on Uncertainty in Artificial Intelligence (UAI-19), 2019
272019
Concept based hybrid fusion of multimodal event signals
Y Wang, C von der Weth, Y Zhang, KH Low, VK Singh, M Kankanhalli
2016 IEEE International Symposium on Multimedia (ISM), 14-19, 2016
212016
Secformer: Towards fast and accurate privacy-preserving inference for large language models
J Luo, Y Zhang, J Zhang, X Mu, H Wang, Y Yu, Z Xu
Findings of the Association for Computational Linguistics: ACL 2024, 2024
182024
Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing
J Luo, Y Zhang, J Zhang, S Qin, H Wang, Y Yu, Z Xu
39th Conference on Uncertainty in Artificial Intelligence (UAI-2023), 2023
92023
Incentives in Private Collaborative Machine Learning
RHL Sim, Y Zhang, TN Hoang, X Xu, BKH Low, P Jaillet
37th Conference on Neural Information Processing Systems (NeurIPS-2023), 2023
72023
Pruning during training by network efficacy modeling
M Rajpal, Y Zhang, BKH Low
Machine Learning (ECML-PKDD 2023 Journal Track), 1-32, 2023
5*2023
A Performance-Portable Kilometer-Scale Global Ocean Model on ORISE and New Sunway Heterogeneous Supercomputers
J Wei, X Han, J Yu, J Jiang, H Liu, P Lin, M Yu, K Xu, L Zhao, P Wang, ...
SC24: International Conference for High Performance Computing, Networking …, 2024
32024
Model Provenance via Model DNA
X Mu, Y Wang, Y Zhang, J Zhang, H Wang, Y Xiang, Y Yu
27th European Conference on Artificial Intelligence (ECAI-24), 2024
22024
Accelerating LASG/IAP climate system ocean model version 3 for performance portability using Kokkos
J Wei, P Lin, J Jiang, H Liu, L Zhao, Y Zhang, X Han, F Zhang, J Huang, ...
Future Generation Computer Systems, 2024
12024
Efficient privacy-preserving Gaussian process via secure multi-party computation
S Liu, J Luo, Y Zhang, H Wang, Y Yu, Z Xu
Journal of Systems Architecture 151, 103134, 2024
12024
Incentives in federated learning
RHL Sim, SS Tay, X Xu, Y Zhang, Z Wu, X Lin, SK Ng, CS Foo, P Jaillet, ...
Federated Learning, 299-309, 2024
12024
EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection
X Mu, Y Wang, Z Huang, J Lai, Y Zhang, H Wang, Y Yu
38th AAAI Conference on Artificial Intelligence (AAAI-2024), 2024
12024
Dependency Structure Search Bayesian Optimization for Decision Making Models
M Rajpal, LG Tran, Y Zhang, BKH Low
Transactions on Machine Learning Research (TMLR), 2024
2024
Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy
S Liu, W Shi, Z Xu, S Lv, Y Zhang, H Wang
33rd International Joint Conference on Artificial Intelligence (IJCAI-24), 2024
2024
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