Yao Shu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
11
Active years
2005–2026
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Optimization and Robustness-Informed Membership Inference Attacks for LLMs. | Zichen Song, Qixin Zhang, Ming Li, Yao Shu |
| 2026 | ACL | Self-Reflective Generation at Test Time. | Jian Mu, Qixin Zhang, Zhiyong Wang, Menglin Yang, Shuang Qiu, Chengwei Qin, Zhongxiang Dai, Yao Shu |
| 2025 | AAAI | FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation. | Yunwei Bai, Ying Kiat Tan, Shiming Chen, Yao Shu, Tsuhan Chen |
| 2025 | ACL | Flexora: Flexible Low-Rank Adaptation for Large Language Models. | Chenxing Wei, Yao Shu, Ying Tiffany He, Fei Yu |
| 2025 | EMNLP | PAFT: Prompt-Agnostic Fine-Tuning. | Chenxing Wei, Mingwen Ou, Ying He, Yao Shu, Fei Yu |
| 2025 | ICML | 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 |
| 2025 | ICML | Refining Adaptive Zeroth-Order Optimization at Ease. | Yao Shu, Qixin Zhang, Kun He, Zhongxiang Dai |
| 2025 | ICML | Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models. | Yao Shu, Wenyang Hu, See-Kiong Ng, Bryan Kian Hsiang Low, Fei Richard Yu |
| 2025 | ICML | 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 Richard Yu |
| 2025 | SANER | Characterizing Logs in Vulnerability Reports: In-Depth Analysis and Security Implications. | Yao Shu, Lianyu Zheng, Jinfu Chen, Jifeng Xuan |
| 2024 | EMNLP | Position Paper: Data-Centric AI in the Age of Large Language Models. | 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 |
| 2024 | ICLR | Robustifying and Boosting Training-Free Neural Architecture Search. | Zhenfeng He, Yao Shu, Zhongxiang Dai, Bryan Kian Hsiang Low |
| 2024 | ICML | 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 |
| 2023 | ICLR | Federated Neural Bandits. | Zhongxiang Dai, Yao Shu, Arun Verma, Flint Xiaofeng Fan, Bryan Kian Hsiang Low, Patrick Jaillet |
| 2023 | ICLR | Zeroth-Order Optimization with Trajectory-Informed Derivative Estimation. | Yao Shu, Zhongxiang Dai, Weicong Sng, Arun Verma, Patrick Jaillet, Bryan Kian Hsiang Low |
| 2022 | ICLR | NASI: Label- and Data-agnostic Neural Architecture Search at Initialization. | Yao Shu, Shaofeng Cai, Zhongxiang Dai, Beng Chin Ooi, Bryan Kian Hsiang Low |
| 2022 | ICML | DAVINZ: Data Valuation using Deep Neural Networks at Initialization. | Zhaoxuan Wu, Yao Shu, Bryan Kian Hsiang Low |
| 2022 | UAI | Neural ensemble search via Bayesian sampling. | Yao Shu, Yizhou Chen, Zhongxiang Dai, Bryan Kian Hsiang Low |
| 2021 | WACV | Dynamic Routing Networks. | Shaofeng Cai, Yao Shu, Wei Wang |
| 2020 | ICLR | Understanding Architectures Learnt by Cell-based Neural Architecture Search. | Yao Shu, Wei Wang, Shaofeng Cai |
| 2018 | ICPR | WiTT: Modeling and the evaluation of table tennis actions based on WIFI signals. | Chong Chen, Yao Shu, Kuang-I Shu, Heng Zhang |
| 2018 | UIC | Research on Human Motion Recognition Based on Wi-Fi and Inertial Sensor Signal Fusion. | Yao Shu, Chong Chen, Kuang-I Shu, Heng Zhang |
| 2005 | PDCAT | An OO-based Design Model of Software Agent. | Jianxing Li, XinJun Mao, Yao Shu |