Near-Optimal Active Learning of Multi-Output Gaussian Processes. - Yehong Zhang; Trong Nghia Hoang; Kian Hsiang Low; Mohan S. Kankanhalli (AAAI, 2016)

Concept Based Hybrid Fusion of Multimodal Event Signals. - Yuhui Wang; Christian von der Weth; Yehong Zhang; Kian Hsiang Low; Vivek K. Singh 001; Mohan S. Kankanhalli (ISM, 2016)

Bayesian Optimization with Binary Auxiliary Information. - Yehong Zhang; Zhongxiang Dai; Bryan Kian Hsiang Low (UAI, 2019)

Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression. - Tong Teng; Jie Chen 027; Yehong Zhang; Bryan Kian Hsiang Low (AAAI, 2020)

Collaborative Machine Learning with Incentive-Aware Model Rewards. - Rachael Hwee Ling Sim; Yehong Zhang; Mun Choon Chan; Bryan Kian Hsiang Low (ICML, 2020)

Collaborative Bayesian Optimization with Fair Regret. - Rachael Hwee Ling Sim; Yehong Zhang; Bryan Kian Hsiang Low; Patrick Jaillet (ICML, 2021)

PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation. - Wei Zeng 006; Xiaozhe Ren; Teng Su; Hui Wang 030; Yi Liao; Zhiwei Wang; Xin Jiang 002; ZhenZhang Yang; Kaisheng Wang; Xiaoda Zhang; Chen Li 023; Ziyan Gong; et al. (CoRR, 2021)

Incentives in Private Collaborative Machine Learning. - Rachael Hwee Ling Sim; Yehong Zhang; Nghia Hoang; Xinyi Xu; Bryan Kian Hsiang Low; Patrick Jaillet (NeurIPS, 2023)

Practical privacy-preserving Gaussian process regression via secret sharing. - Jinglong Luo; Yehong Zhang; Jiaqi Zhang; Shuang Qin; Hui Wang 013; Yue Yu 001; Zenglin Xu (UAI, 2023)

Hessian-Aware Bayesian Optimization for Decision Making Systems. - Mohit Rajpal; Lac Gia Tran; Yehong Zhang; Bryan Kian Hsiang Low (CoRR, 2023)

Fuzz Driver Synthesis for Rust Generic APIs. - Yehong Zhang; Jun Wu; Hui Xu (CoRR, 2023)

Pruning during training by network efficacy modeling. - Mohit Rajpal; Yehong Zhang; Bryan Kian Hsiang Low (Mach. Learn., 2023)

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 (AAAI, 2024)

SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC. - Jinglong Luo; Yehong Zhang; Zhuo Zhang 007; Jiaqi Zhang; Xin Mu; Hui Wang 013; Yue Yu 001; Zenglin Xu (ACL (Findings), 2024)

Model Provenance via Model DNA. - Xin Mu; Yu Wang; Yehong Zhang; Jiaqi Zhang; Hui Wang; Yang Xiang; Yue Yu (ECAI, 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 013 (IJCAI, 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; et al. (SC, 2024)

SecFormer: Towards Fast and Accurate Privacy-Preserving Inference for Large Language Models. - Jinglong Luo; Yehong Zhang; Jiaqi Zhang; Xin Mu; Hui Wang 013; Yue Yu 001; 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)

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 001; et al. (Future Gener. Comput. Syst., 2024)

Efficient privacy-preserving Gaussian process via secure multi-party computation. - Shiyu Liu; Jinglong Luo; Yehong Zhang; Hui Wang 013; Yue Yu 001; Zenglin Xu (J. Syst. Archit., 2024)

Dependency Structure Search Bayesian Optimization for Decision Making Models. - Mohit Rajpal; Lac Gia Tran; Yehong Zhang; Bryan Kian Hsiang Low (Trans. Mach. Learn. Res., 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 013; Yue Yu 001; Xun Zhou 001; Yuan Qi 001; Zenglin Xu (ACL (1), 2025)

COPR: Continual Human Preference Learning via Optimal Policy Regularization. - Han Zhang 025; Lin Gui 003; Yu Lei; Yuanzhao Zhai; Yehong Zhang; Zhuo Zhang 007; Yulan He 001; Hui Wang 030; Yue Yu 001; Kam-Fai Wong; Bin Liang 004; Ruifeng Xu 001 (ACL (Findings), 2025)

RingMoE: Mixture-of-Modality-Experts Multi-Modal Foundation Models for Universal Remote Sensing Image Interpretation. - Hanbo Bi; Yingchao Feng; Boyuan Tong; Mengyu Wang; Haichen Yu; Yongqiang Mao; Hao Chang; Wenhui Diao; Peijin Wang; Yue Yu 001; Hanyang Peng; Yehong Zhang; et al. (CoRR, 2025)

SecFwT: Efficient Privacy-Preserving Fine-Tuning of Large Language Models Using Forward-Only Passes. - Jinglong Luo; Zhuo Zhang 007; Yehong Zhang; Shiyu Liu; Ye Dong; Xun Zhou 001; Hui Wang 013; Yue Yu 001; Zenglin Xu (CoRR, 2025)

RuMono: Fuzz Driver Synthesis for Rust Generic APIs. - Yehong Zhang; Jun Wu 006; Hui Xu 009 (ACM Trans. Softw. Eng. Methodol., 2025)