Shu, Yao

31 publications

NeurIPS 2025 Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives Qixin Zhang, Yan Sun, Can Jin, Xikun Zhang, Yao Shu, Puning Zhao, Li Shen, Dacheng Tao

AAAI 2025 FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation Yunwei Bai, Ying Kiat Tan, Shiming Chen, Yao Shu, Tsuhan Chen

ICML 2025 Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models Yao Shu, Wenyang Hu, See-Kiong Ng, Bryan Kian Hsiang Low, Fei Yu

ICLRW 2025 Meta-Prompt Optimization for LLM-Based Sequential Decision Making Mingze Kong, Zhiyong Wang, Yao Shu, Zhongxiang Dai

ICML 2025 Multinoulli Extension: A Lossless yet Effective Probabilistic Framework for Subset Selection over Partition Constraints Qixin Zhang, Wei Huang, Can Jin, Puning Zhao, Yao Shu, Li Shen, Dacheng Tao

NeurIPS 2025 ReDit: Reward Dithering for Improved LLM Policy Optimization Chenxing Wei, Jiarui Yu, Ying Tiffany He, Hande Dong, Yao Shu, Fei Yu

ICML 2025 Refining Adaptive Zeroth-Order Optimization at Ease Yao Shu, Qixin Zhang, Kun He, Zhongxiang Dai

ICML 2025 WMarkGPT: Watermarked Image Understanding via Multimodal Large Language Models Songbai Tan, Xuerui Qiu, Yao Shu, Gang Xu, Linrui Xu, Xiangyu Xu, Huiping Zhuang, Ming Li, Fei Yu

NeurIPSW 2024 Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models Yao Shu, Wenyang Hu, See-Kiong Ng, Bryan Kian Hsiang Low, Fei Yu

NeurIPSW 2024 Flexora: Flexible Low-Rank Adaptation for Large Language Models Chenxing Wei, Yao Shu, Ying Tiffany He, Fei Yu

ICMLW 2024 Heterogeneous Federated Zeroth-Order Optimization Using Gradient Surrogates Yao Shu, Xiaoqiang Lin, Zhongxiang Dai, Bryan Kian Hsiang Low

NeurIPS 2024 Localized Zeroth-Order Prompt Optimization Wenyang Hu, Yao Shu, Zongmin Yu, Zhaoxuan Wu, Xiaoqiang Lin, Zhongxiang Dai, See-Kiong Ng, Bryan Kian Hsiang Low

ICMLW 2024 Localized Zeroth-Order Prompt Optimization Wenyang Hu, Yao Shu, Zongmin Yu, Zhaoxuan Wu, Xiaoqiang Lin, Zhongxiang Dai, See-Kiong Ng, Bryan Kian Hsiang Low

NeurIPS 2024 OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations Yao Shu, Jiongfeng Fang, Ying Tiffany He, Fei Richard Yu

NeurIPS 2024 Prompt Optimization with EASE? Efficient Ordering-Aware Automated Selection of Exemplars Zhaoxuan Wu, Xiaoqiang Lin, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low

ICMLW 2024 Prompt Optimization with EASE? Efficient Ordering-Aware Automated Selection of Exemplars Zhaoxuan Wu, Xiaoqiang Lin, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low

ICLR 2024 Robustifying and Boosting Training-Free Neural Architecture Search Zhenfeng He, Yao Shu, Zhongxiang Dai, Bryan Kian Hsiang Low

ICML 2024 Use Your INSTINCT: INSTruction Optimization for LLMs usIng Neural Bandits Coupled with Transformers Xiaoqiang Lin, Zhaoxuan Wu, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low

NeurIPS 2023 Exploiting Correlated Auxiliary Feedback in Parameterized Bandits Arun Verma, Zhongxiang Dai, Yao Shu, Bryan Kian Hsiang Low

ICLR 2023 Federated Neural Bandits Zhongxiang Dai, Yao Shu, Arun Verma, Flint Xiaofeng Fan, Bryan Kian Hsiang Low, Patrick Jaillet

NeurIPS 2023 Quantum Bayesian Optimization Zhongxiang Dai, Gregory Kang Ruey Lau, Arun Verma, Yao Shu, Bryan Kian Hsiang Low, Patrick Jaillet

NeurIPSW 2023 Use Your INSTINCT: INSTruction Optimization usIng Neural Bandits Coupled with Transformers Xiaoqiang Lin, Zhaoxuan Wu, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low

ICLR 2023 Zeroth-Order Optimization with Trajectory-Informed Derivative Estimation Yao Shu, Zhongxiang Dai, Weicong Sng, Arun Verma, Patrick Jaillet, Bryan Kian Hsiang Low

ICML 2022 DAVINZ: Data Valuation Using Deep Neural Networks at Initialization Zhaoxuan Wu, Yao Shu, Bryan Kian Hsiang Low

ICLR 2022 NASI: Label- and Data-Agnostic Neural Architecture Search at Initialization Yao Shu, Shaofeng Cai, Zhongxiang Dai, Beng Chin Ooi, Bryan Kian Hsiang Low

UAI 2022 Neural Ensemble Search via Bayesian Sampling Yao Shu, Yizhou Chen, Zhongxiang Dai, Bryan Kian Hsiang Low

NeurIPS 2022 Sample-Then-Optimize Batch Neural Thompson Sampling Zhongxiang Dai, Yao Shu, Bryan Kian Hsiang Low, Patrick Jaillet

NeurIPS 2022 Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search Yao Shu, Zhongxiang Dai, Zhaoxuan Wu, Bryan Kian Hsiang Low

WACV 2021 Dynamic Routing Networks Shaofeng Cai, Yao Shu, Wei Wang

ICLR 2020 ISBNet: Instance-Aware Selective Branching Networks Shaofeng Cai, Yao Shu, Wei Wang, Gang Chen, Beng Chin Ooi

ICLR 2020 Understanding Architectures Learnt by Cell-Based Neural Architecture Search Yao Shu, Wei Wang, Shaofeng Cai