Yehong Zhang - RankMe

38 papers A* 7A 5C 1Journal 22Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cryptography-based privacy-preserving large language models: a lifecycle survey of frameworks, methods, and future directions. Artif. Intell. Rev. Jinglong Luo, Yehong Zhang, Zhuo Zhang, Shiyu Liu, Ye Dong, Haoran Li, Yue Yu, Hui Wang, Xun Zhou, Zenglin Xu
2026	J	`jnl`	RingMoE: Mixture-of-Modality-Experts Multi-Modal Foundation Models for Universal Remote Sensing Image Interpretation. IEEE Trans. Pattern Anal. Mach. Intell. Hanbo Bi, Yingchao Feng, Boyuan Tong, Mengyu Wang, Haichen Yu, Yongqiang Mao, Hao Chang, Wenhui Diao, Peijin Wang, Yue Yu, Hanyang Peng, Yehong Zhang, Kun Fu, Xian Sun
2026	A	`conf`	swKokkos: An Athread Backend for Enhanced Kokkos with the Sunway Heterogeneous Architecture. EuroSys 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	—	`conf`	CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference. ACL (1) Jinglong Luo, Guanzhong Chen, Yehong Zhang, Shiyu Liu, Hui Wang, Yue Yu, Xun Zhou, Yuan Qi, Zenglin Xu
2025	—	`conf`	COPR: Continual Human Preference Learning via Optimal Policy Regularization. ACL (Findings) 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
2025	J	`jnl`	RingMoE: Mixture-of-Modality-Experts Multi-Modal Foundation Models for Universal Remote Sensing Image Interpretation. CoRR Hanbo Bi, Yingchao Feng, Boyuan Tong, Mengyu Wang, Haichen Yu, Yongqiang Mao, Hao Chang, Wenhui Diao, Peijin Wang, Yue Yu, Hanyang Peng, Yehong Zhang, Kun Fu, Xian Sun
2025	J	`jnl`	RuMono: Fuzz Driver Synthesis for Rust Generic APIs. ACM Trans. Softw. Eng. Methodol. Yehong Zhang, Jun Wu, Hui Xu
2025	J	`jnl`	SecFwT: Efficient Privacy-Preserving Fine-Tuning of Large Language Models Using Forward-Only Passes. CoRR Jinglong Luo, Zhuo Zhang, Yehong Zhang, Shiyu Liu, Ye Dong, Xun Zhou, Hui Wang, Yue Yu, Zenglin Xu
2024	A	`conf`	A Performance-Portable Kilometer-Scale Global Ocean Model on ORISE and New Sunway Heterogeneous Supercomputers. SC 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
2024	J	`jnl`	Accelerating LASG/IAP climate system ocean model version 3 for performance portability using Kokkos. Future Gener. Comput. Syst. 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
2024	J	`jnl`	Centaur: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference. CoRR Jinglong Luo, Guanzhong Chen, Yehong Zhang, Shiyu Liu, Hui Wang, Yue Yu, Xun Zhou, Yuan Qi, Zenglin Xu
2024	J	`jnl`	Dependency Structure Search Bayesian Optimization for Decision Making Models. Trans. Mach. Learn. Res. Mohit Rajpal, Lac Gia Tran, Yehong Zhang, Bryan Kian Hsiang Low
2024	J	`jnl`	Efficient privacy-preserving Gaussian process via secure multi-party computation. J. Syst. Archit. Shiyu Liu, Jinglong Luo, Yehong Zhang, Hui Wang, Yue Yu, Zenglin Xu
2024	A*	`conf`	EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection. AAAI Xin Mu, Yu Wang, Zhengan Huang, Junzuo Lai, Yehong Zhang, Hui Wang, Yue Yu
2024	J	`jnl`	Incentives in Private Collaborative Machine Learning. CoRR Rachael Hwee Ling Sim, Yehong Zhang, Trong Nghia Hoang, Xinyi Xu, Bryan Kian Hsiang Low, Patrick Jaillet
2024	A*	`conf`	Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy. IJCAI Shiyu Liu, Wei Shi, Zenglin Xu, Shaogao Lv, Yehong Zhang, Hui Wang
2024	A	`conf`	Model Provenance via Model DNA. ECAI Xin Mu, Yu Wang, Yehong Zhang, Jiaqi Zhang, Hui Wang, Yang Xiang, Yue Yu
2024	—	`conf`	SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC. ACL (Findings) Jinglong Luo, Yehong Zhang, Zhuo Zhang, Jiaqi Zhang, Xin Mu, Hui Wang, Yue Yu, Zenglin Xu
2024	J	`jnl`	SecFormer: Towards Fast and Accurate Privacy-Preserving Inference for Large Language Models. CoRR Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Xin Mu, Hui Wang, Yue Yu, Zenglin Xu
2023	J	`jnl`	EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection. CoRR Xin Mu, Yu Wang, Zhengan Huang, Junzuo Lai, Yehong Zhang, Hui Wang, Yue Yu
2023	J	`jnl`	Fuzz Driver Synthesis for Rust Generic APIs. CoRR Yehong Zhang, Jun Wu, Hui Xu
2023	J	`jnl`	Hessian-Aware Bayesian Optimization for Decision Making Systems. CoRR Mohit Rajpal, Lac Gia Tran, Yehong Zhang, Bryan Kian Hsiang Low
2023	A*	`conf`	Incentives in Private Collaborative Machine Learning. NeurIPS Rachael Hwee Ling Sim, Yehong Zhang, Nghia Hoang, Xinyi Xu, Bryan Kian Hsiang Low, Patrick Jaillet
2023	J	`jnl`	Model Provenance via Model DNA. CoRR Xin Mu, Yu Wang, Yehong Zhang, Jiaqi Zhang, Hui Wang, Yang Xiang, Yue Yu
2023	J	`jnl`	Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing. CoRR Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Shuang Qin, Hui Wang, Yue Yu, Zenglin Xu
2023	A	`conf`	Practical privacy-preserving Gaussian process regression via secret sharing. UAI Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Shuang Qin, Hui Wang, Yue Yu, Zenglin Xu
2023	J	`jnl`	Pruning during training by network efficacy modeling. Mach. Learn. Mohit Rajpal, Yehong Zhang, Bryan Kian Hsiang Low
2021	A*	`conf`	Collaborative Bayesian Optimization with Fair Regret. ICML Rachael Hwee Ling Sim, Yehong Zhang, Bryan Kian Hsiang Low, Patrick Jaillet
2021	J	`jnl`	PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation. CoRR 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
2020	A*	`conf`	Collaborative Machine Learning with Incentive-Aware Model Rewards. ICML Rachael Hwee Ling Sim, Yehong Zhang, Mun Choon Chan, Bryan Kian Hsiang Low
2020	J	`jnl`	Collaborative Machine Learning with Incentive-Aware Model Rewards. CoRR Rachael Hwee Ling Sim, Yehong Zhang, Mun Choon Chan, Bryan Kian Hsiang Low
2020	A*	`conf`	Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression. AAAI Tong Teng, Jie Chen, Yehong Zhang, Bryan Kian Hsiang Low
2019	A	`conf`	Bayesian Optimization with Binary Auxiliary Information. UAI Yehong Zhang, Zhongxiang Dai, Bryan Kian Hsiang Low
2019	J	`jnl`	Bayesian Optimization with Binary Auxiliary Information. CoRR Yehong Zhang, Zhongxiang Dai, Kian Hsiang Low
2019	J	`jnl`	Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression. CoRR Tong Teng, Jie Chen, Yehong Zhang, Kian Hsiang Low
2016	C	`conf`	Concept Based Hybrid Fusion of Multimodal Event Signals. ISM Yuhui Wang, Christian von der Weth, Yehong Zhang, Kian Hsiang Low, Vivek K. Singh, Mohan S. Kankanhalli
2016	A*	`conf`	Near-Optimal Active Learning of Multi-Output Gaussian Processes. AAAI Yehong Zhang, Trong Nghia Hoang, Kian Hsiang Low, Mohan S. Kankanhalli
2015	J	`jnl`	Near-Optimal Active Learning of Multi-Output Gaussian Processes. CoRR Yehong Zhang, Trong Nghia Hoang, Kian Hsiang Low, Mohan S. Kankanhalli