Yao Shu

17 papers at tracked venues · 15 at CORE A* · active 2024–2026

DBLP profile ↗ORCID search ↗

Venues

ICML ×5 NeurIPS ×5 AAAI ×2 ACL ×2 EMNLP ×2 ICLR ×1

Frequent coauthors

Zhongxiang Dai

×7

Bryan Kian Hsiang Low

×6

Wenyang Hu

×5

Fei Richard Yu

×5

See-Kiong Ng

×4

Zhaoxuan Wu

×4

Xiaoqiang Lin

×4

Qixin Zhang

×3

Chenxing Wei

×3

Ying He

×3

Qixin Zhang

×2

Can Jin

×2

Papers

Optimization and Robustness-Informed Membership Inference Attacks for LLMs
AAAI 2026 ·
Zichen Song
,
Qixin Zhang
,
Ming Li
, Yao Shu
Self-Reflective Generation at Test Time
ACL 2026 ·
Jian Mu
,
Qixin Zhang
,
Zhiyong Wang
,
Menglin Yang
,
Shuang Qiu
,
Chengwei Qin
,
Zhongxiang Dai
, Yao Shu
Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives
NeurIPS 2025 ·
Qixin Zhang
,
Yan Sun
,
Can Jin
,
Xikun Zhang
, Yao Shu,
Puning Zhao
,
Li Shen
,
Dacheng Tao
FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation
AAAI 2025 ·
Yunwei Bai
,
Ying Kiat Tan
,
Shiming Chen
, Yao Shu,
Tsuhan Chen
Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models
ICML 2025 · Yao Shu,
Wenyang Hu
,
See-Kiong Ng
,
Bryan Kian Hsiang Low
,
Fei Richard Yu
Flexora: Flexible Low-Rank Adaptation for Large Language Models
ACL 2025 ·
Chenxing Wei
, Yao Shu,
Ying Tiffany He
,
Fei Yu
Multinoulli Extension: A Lossless Yet Effective Probabilistic Framework for Subset Selection over Partition Constraints
ICML 2025 ·
Qixin Zhang
,
Wei Huang
,
Can Jin
,
Puning Zhao
, Yao Shu,
Li Shen
,
Dacheng Tao
PAFT: Prompt-Agnostic Fine-Tuning
EMNLP 2025 ·
Chenxing Wei
,
Mingwen Ou
,
Ying He
, Yao Shu,
Fei Yu
ReDit: Reward Dithering for Improved LLM Policy Optimization
NeurIPS 2025 ·
Chenxing Wei
,
Jiarui Yu
,
Ying He
,
Hande Dong
, Yao Shu,
Fei Richard Yu
Refining Adaptive Zeroth-Order Optimization at Ease
ICML 2025 · Yao Shu,
Qixin Zhang
,
Kun He
,
Zhongxiang Dai
WMarkGPT: Watermarked Image Understanding via Multimodal Large Language Models
ICML 2025 ·
Songbai Tan
,
Xuerui Qiu
, Yao Shu,
Gang Xu
,
Linrui Xu
,
Xiangyu Xu
,
Huiping Zhuang
,
Ming Li
,
Fei Richard Yu
Localized Zeroth-Order Prompt Optimization
NeurIPS 2024 ·
Wenyang Hu
, Yao Shu,
Zongmin Yu
,
Zhaoxuan Wu
,
Xiaoqiang Lin
,
Zhongxiang Dai
,
See-Kiong Ng
,
Bryan Kian Hsiang Low
OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations
NeurIPS 2024 · Yao Shu,
Jiongfeng Fang
,
Ying He
,
Fei Richard Yu
Position Paper: Data-Centric AI in the Age of Large Language Models
EMNLP 2024 ·
Xinyi Xu
,
Zhaoxuan Wu
,
Rui Qiao
,
Arun Verma
, Yao Shu,
Jingtan Wang
,
Xinyuan Niu
,
Zhenfeng He
,
Jiangwei Chen
,
Zijian Zhou
,
Gregory Kang Ruey Lau
,
Hieu Dao
,
Lucas Agussurja
,
Rachael Hwee Ling Sim
,
Xiaoqiang Lin
,
Wenyang Hu
,
Zhongxiang Dai
,
Pang Wei Koh
,
Bryan Kian Hsiang Low
Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars
NeurIPS 2024 ·
Zhaoxuan Wu
,
Xiaoqiang Lin
,
Zhongxiang Dai
,
Wenyang Hu
, Yao Shu,
See-Kiong Ng
,
Patrick Jaillet
,
Bryan Kian Hsiang Low
Robustifying and Boosting Training-Free Neural Architecture Search
ICLR 2024 ·
Zhenfeng He
, Yao Shu,
Zhongxiang Dai
,
Bryan Kian Hsiang Low
Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers
ICML 2024 ·
Xiaoqiang Lin
,
Zhaoxuan Wu
,
Zhongxiang Dai
,
Wenyang Hu
, Yao Shu,
See-Kiong Ng
,
Patrick Jaillet
,
Bryan Kian Hsiang Low