Yehong Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
9
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EuroSys | swKokkos: An Athread Backend for Enhanced Kokkos with the Sunway Heterogeneous Architecture. | Junlin Wei, Jinrong Jiang, Wu Wang, Chen Li, Yehong Zhang, Yue Yu, Lian Zhao, Xiang Han, Zhenjia Li, Feng Zhang, Haoyuan Zhang, Yidi Bai, Maoxue Yu, Kai Xu, Hailong Liu, Xuebin Chi |
| 2025 | ACL | 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 |
| 2025 | ACL | COPR: Continual Human Preference Learning via Optimal Policy Regularization. | Han Zhang, Lin Gui, Yu Lei, Yuanzhao Zhai, Yehong Zhang, Zhuo Zhang, Yulan He, Hui Wang, Yue Yu, Kam-Fai Wong, Bin Liang, Ruifeng Xu |
| 2024 | AAAI | 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 |
| 2024 | ACL | 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 |
| 2024 | ECAI | Model Provenance via Model DNA. | Xin Mu, Yu Wang, Yehong Zhang, Jiaqi Zhang, Hui Wang, Yang Xiang, Yue Yu |
| 2024 | IJCAI | 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 |
| 2024 | SC | 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 |
| 2023 | UAI | Practical privacy-preserving Gaussian process regression via secret sharing. | Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Shuang Qin, Hui Wang, Yue Yu, Zenglin Xu |
| 2021 | ICML | Collaborative Bayesian Optimization with Fair Regret. | Rachael Hwee Ling Sim, Yehong Zhang, Bryan Kian Hsiang Low, Patrick Jaillet |
| 2020 | AAAI | Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression. | Tong Teng, Jie Chen, Yehong Zhang, Bryan Kian Hsiang Low |
| 2020 | ICML | Collaborative Machine Learning with Incentive-Aware Model Rewards. | Rachael Hwee Ling Sim, Yehong Zhang, Mun Choon Chan, Bryan Kian Hsiang Low |
| 2019 | UAI | Bayesian Optimization with Binary Auxiliary Information. | Yehong Zhang, Zhongxiang Dai, Bryan Kian Hsiang Low |
| 2016 | AAAI | Near-Optimal Active Learning of Multi-Output Gaussian Processes. | Yehong Zhang, Trong Nghia Hoang, Kian Hsiang Low, Mohan S. Kankanhalli |
| 2016 | ISM | 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 |