Yao Shu - RankMe

80 papers A* 21A 3B 1C 1Journal 51Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	1S-DAug: One-Shot Data Augmentation for Robust Few-Shot Generalization. CoRR Yunwei Bai, Ying Kiat Tan, Yao Shu, Tsuhan Chen
2026	J	`jnl`	ACE-Merging: Data-Free Model Merging with Adaptive Covariance Estimation. CoRR Bo Xu, Haotian Wu, Hehai Lin, Weiquan Huang, Beier Zhu, Yao Shu, Chengwei Qin
2026	J	`jnl`	Can We Change the Stroke Size for Easier Diffusion? CoRR Yunwei Bai, Ying Kiat Tan, Yao Shu, Tsuhan Chen
2026	J	`jnl`	Controllable Concept Bottleneck Models. CoRR Hongbin Lin, Chenyang Ren, Juangui Xu, Zhengyu Hu, Cheng-Long Wang, Yao Shu, Hui Xiong, Jingfeng Zhang, Di Wang, Lijie Hu
2026	J	`jnl`	LFPO: Likelihood-Free Policy Optimization for Masked Diffusion Models. CoRR Chenxing Wei, Jiazhen Kang, Hong Wang, Jianqing Zhang, Hao Jiang, Xiaolong Xu, Ningyuan Sun, Ying He, F. Richard Yu, Yao Shu, Bo Jiang
2026	J	`jnl`	MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural Networks. CoRR Zhi Hong, Qian Zhang, Jiahang Sun, Zhiwei Shang, Mingze Kong, Xiangyi Wang, Yao Shu, Zhongxiang Dai
2026	J	`jnl`	Model-based Offline RL via Robust Value-Aware Model Learning with Implicitly Differentiable Adaptive Weighting. CoRR Zhongjian Qiao, Jiafei Lyu, Boxiang Lyu, Yao Shu, Siyang Gao, Shuang Qiu
2026	J	`jnl`	Multinoulli Extension: A Lossless Continuous Relaxation for Partition-Constrained Subset Selection. CoRR Qixin Zhang, Wei Huang, Yan Sun, Yao Shu, Yi Yu, Dacheng Tao
2026	A*	`conf`	Optimization and Robustness-Informed Membership Inference Attacks for LLMs. AAAI Zichen Song, Qixin Zhang, Ming Li, Yao Shu
2026	J	`jnl`	Training Multi-Turn Search Agent via Contrastive Dynamic Branch Sampling. CoRR Yubao Zhao, Weiquan Huang, Sudong Wang, Ruochen Zhao, Chen Chen, Yao Shu, Chengwei Qin
2026	J	`jnl`	Words & Weights: Streamlining Multi-Turn Interactions via Co-Adaptation. CoRR Chenxing Wei, Hong Wang, Ying He, Zhongxiang Dai, Bo Jiang, F. Richard Yu, Yao Shu
2025	A	`conf`	Characterizing Logs in Vulnerability Reports: In-Depth Analysis and Security Implications. SANER Yao Shu, Lianyu Zheng, Jinfu Chen, Jifeng Xuan
2025	J	`jnl`	Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives. CoRR Qixin Zhang, Yan Sun, Can Jin, Xikun Zhang, Yao Shu, Puning Zhao, Li Shen, Dacheng Tao
2025	A*	`conf`	FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation. AAAI Yunwei Bai, Ying Kiat Tan, Shiming Chen, Yao Shu, Tsuhan Chen
2025	J	`jnl`	FURINA: A Fully Customizable Role-Playing Benchmark via Scalable Multi-Agent Collaboration Pipeline. CoRR Haotian Wu, Shufan Jiang, Mingyu Chen, Yiyang Feng, Hehai Lin, Heqing Zou, Yao Shu, Chengwei Qin
2025	J	`jnl`	FedPOB: Sample-Efficient Federated Prompt Optimization via Bandits. CoRR Pingchen Lu, Zhi Hong, Zhiwei Shang, Zhiyong Wang, Yikun Ban, Yao Shu, Min Zhang, Shuang Qiu, Zhongxiang Dai
2025	A*	`conf`	Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models. ICML Yao Shu, Wenyang Hu, See-Kiong Ng, Bryan Kian Hsiang Low, Fei Richard Yu
2025	—	`conf`	Flexora: Flexible Low-Rank Adaptation for Large Language Models. ACL (1) Chenxing Wei, Yao Shu, Ying Tiffany He, Fei Yu
2025	J	`jnl`	Implicit Reasoning in Large Language Models: A Comprehensive Survey. CoRR Jindong Li, Yali Fu, Li Fan, Jiahong Liu, Yao Shu, Chengwei Qin, Menglin Yang, Irwin King, Rex Ying
2025	J	`jnl`	Meta-Prompt Optimization for LLM-Based Sequential Decision Making. CoRR Mingze Kong, Zhiyong Wang, Yao Shu, Zhongxiang Dai
2025	A*	`conf`	Multinoulli Extension: A Lossless Yet Effective Probabilistic Framework for Subset Selection over Partition Constraints. ICML Qixin Zhang, Wei Huang, Can Jin, Puning Zhao, Yao Shu, Li Shen, Dacheng Tao
2025	J	`jnl`	On Path to Multimodal Historical Reasoning: HistBench and HistAgent. CoRR Jiahao Qiu, Fulian Xiao, Yimin Wang, Yuchen Mao, Yijia Chen, Xinzhe Juan, Siran Wang, Xuan Qi, Tongcheng Zhang, Zixin Yao, Jiacheng Guo, Yifu Lu, Charles Argon, Jundi Cui, Daixin Chen, Junran Zhou, Shuyao Zhou, Zhanpeng Zhou, Ling Yang, Shilong Liu, Hongru Wang, Kaixuan Huang, Xun Jiang, Yuming Cao, Yue Chen, Yunfei Chen, Zhengyi Chen, Ruowei Dai, Mengqiu Deng, Jiye Fu, Yunting Gu, Zijie Guan, Zirui Huang, Xiaoyan Ji, Yumeng Jiang, Delong Kong, Haolong Li, Jiaqi Li, Ruipeng Li, Tianze Li, Zhuoran Li, Haixia Lian, Mengyue Lin, Xudong Liu, Jiayi Lu, Jinghan Lu, Wanyu Luo, Ziyue Luo, Zihao Pu, Zhi Qiao, Ruihuan Ren, Liang Wan, Ruixiang Wang, Tianhui Wang, Yang Wang, Zeyu Wang, Zihua Wang, Yujia Wu, Zhaoyi Wu, Hao Xin, Weiao Xing, Ruojun Xiong, Weijie Xu, Yao Shu, Xiao Yao, Xiaorui Yang, Yuchen Yang, Nan Yi, Jiadong Yu, Yangyuxuan Yu, Huiting Zeng, Danni Zhang, Yunjie Zhang, Zhaoyu Zhang, Zhiheng Zhang, Xiaofeng Zheng, Peirong Zhou, Linyan Zhong, Xiaoyin Zong, Ying Zhao, Zhenxin Chen, Lin Ding, Xiaoyu Gao, Bingbing Gong, Yichao Li, Yang Liao, Guang Ma, Tianyuan Ma, Xinrui Sun, Tianyi Wang, Han Xia, Ruobing Xian, Gen Ye, Tengfei Yu, Wentao Zhang, Yuxi Wang, Xi Gao, Mengdi Wang
2025	A*	`conf`	PAFT: Prompt-Agnostic Fine-Tuning. EMNLP Chenxing Wei, Mingwen Ou, Ying He, Yao Shu, Fei Yu
2025	J	`jnl`	PAFT: Prompt-Agnostic Fine-Tuning. CoRR Chenxing Wei, Yao Shu, Mingwen Ou, Ying Tiffany He, Fei Richard Yu
2025	J	`jnl`	RIMO: An Easy-to-Evaluate, Hard-to-Solve Olympiad Benchmark for Advanced Mathematical Reasoning. CoRR Ziye Chen, Chengwei Qin, Yao Shu
2025	J	`jnl`	ReDit: Reward Dithering for Improved LLM Policy Optimization. CoRR Chenxing Wei, Jiarui Yu, Ying Tiffany He, Hande Dong, Yao Shu, Fei Yu
2025	A*	`conf`	Refining Adaptive Zeroth-Order Optimization at Ease. ICML Yao Shu, Qixin Zhang, Kun He, Zhongxiang Dai
2025	J	`jnl`	Refining Adaptive Zeroth-Order Optimization at Ease. CoRR Yao Shu, Qixin Zhang, Kun He, Zhongxiang Dai
2025	J	`jnl`	Scheduling Your LLM Reinforcement Learning with Reasoning Trees. CoRR Hong Wang, Zhezheng Hao, Jian Luo, Chenxing Wei, Yao Shu, Lei Liu, Qiang Lin, Hande Dong, Jiawei Chen
2025	J	`jnl`	Self-Reflective Generation at Test Time. CoRR Jian Mu, Qixin Zhang, Zhiyong Wang, Menglin Yang, Shuang Qiu, Chengwei Qin, Zhongxiang Dai, Yao Shu
2025	J	`jnl`	T-POP: Test-Time Personalization with Online Preference Feedback. CoRR Zikun Qu, Min Zhang, Mingze Kong, Xiang Li, Zhiwei Shang, Zhiyong Wang, Yikun Ban, Shuang Qiu, Yao Shu, Zhongxiang Dai
2025	J	`jnl`	Test-Time Policy Adaptation for Enhanced Multi-Turn Interactions with LLMs. CoRR Chenxing Wei, Hong Wang, Ying He, Fei Yu, Yao Shu
2025	J	`jnl`	Thinking with Nothinking Calibration: A New In-Context Learning Paradigm in Reasoning Large Language Models. CoRR Haotian Wu, Bo Xu, Yao Shu, Menglin Yang, Chengwei Qin
2025	A*	`conf`	WMarkGPT: Watermarked Image Understanding via Multimodal Large Language Models. ICML Songbai Tan, Xuerui Qiu, Yao Shu, Gang Xu, Linrui Xu, Xiangyu Xu, Huiping Zhuang, Ming Li, Fei Richard Yu
2025	J	`jnl`	Zeroth-Order Optimization is Secretly Single-Step Policy Optimization. CoRR Junbin Qiu, Zhengpeng Xie, Xiangda Yan, Yongjie Yang, Yao Shu
2024	J	`jnl`	Data-Centric AI in the Age of Large Language Models. CoRR 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	J	`jnl`	Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models. CoRR Yao Shu, Wenyang Hu, See-Kiong Ng, Bryan Kian Hsiang Low, Fei Richard Yu
2024	J	`jnl`	Flexora: Flexible Low Rank Adaptation for Large Language Models. CoRR Chenxing Wei, Yao Shu, Ying Tiffany He, Fei Richard Yu
2024	A*	`conf`	Localized Zeroth-Order Prompt Optimization. NeurIPS Wenyang Hu, Yao Shu, Zongmin Yu, Zhaoxuan Wu, Xiaoqiang Lin, Zhongxiang Dai, See-Kiong Ng, Bryan Kian Hsiang Low
2024	J	`jnl`	Localized Zeroth-Order Prompt Optimization. CoRR Wenyang Hu, Yao Shu, Zongmin Yu, Zhaoxuan Wu, Xiangqiang Lin, Zhongxiang Dai, See-Kiong Ng, Bryan Kian Hsiang Low
2024	A*	`conf`	OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations. NeurIPS Yao Shu, Jiongfeng Fang, Ying He, Fei Richard Yu
2024	J	`jnl`	OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations. CoRR Yao Shu, Jiongfeng Fang, Ying Tiffany He, Fei Richard Yu
2024	—	`conf`	Position Paper: Data-Centric AI in the Age of Large Language Models. EMNLP (Findings) 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	A*	`conf`	Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars. NeurIPS Zhaoxuan Wu, Xiaoqiang Lin, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low
2024	J	`jnl`	Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars. CoRR Zhaoxuan Wu, Xiaoqiang Lin, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low
2024	A*	`conf`	Robustifying and Boosting Training-Free Neural Architecture Search. ICLR Zhenfeng He, Yao Shu, Zhongxiang Dai, Bryan Kian Hsiang Low
2024	J	`jnl`	Robustifying and Boosting Training-Free Neural Architecture Search. CoRR Zhenfeng He, Yao Shu, Zhongxiang Dai, Bryan Kian Hsiang Low
2024	J	`jnl`	Small-Scale Pedestrian Detection Using Fusion Network and Probabilistic Loss. IEEE Access Hongchang Zhang, Kang Yang, Heng Liu, Jiali Hu, Yao Shu, Juan Zeng
2024	A*	`conf`	Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers. ICML Xiaoqiang Lin, Zhaoxuan Wu, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low
2023	A*	`conf`	Exploiting Correlated Auxiliary Feedback in Parameterized Bandits. NeurIPS Arun Verma, Zhongxiang Dai, Yao Shu, Bryan Kian Hsiang Low
2023	J	`jnl`	Exploiting Correlated Auxiliary Feedback in Parameterized Bandits. CoRR Arun Verma, Zhongxiang Dai, Yao Shu, Bryan Kian Hsiang Low
2023	A*	`conf`	Federated Neural Bandits. ICLR Zhongxiang Dai, Yao Shu, Arun Verma, Flint Xiaofeng Fan, Bryan Kian Hsiang Low, Patrick Jaillet
2023	J	`jnl`	Federated Zeroth-Order Optimization using Trajectory-Informed Surrogate Gradients. CoRR Yao Shu, Xiaoqiang Lin, Zhongxiang Dai, Bryan Kian Hsiang Low
2023	A*	`conf`	Quantum Bayesian Optimization. NeurIPS Zhongxiang Dai, Gregory Kang Ruey Lau, Arun Verma, Yao Shu, Bryan Kian Hsiang Low, Patrick Jaillet
2023	J	`jnl`	Quantum Bayesian Optimization. CoRR Zhongxiang Dai, Gregory Kang Ruey Lau, Arun Verma, Yao Shu, Bryan Kian Hsiang Low, Patrick Jaillet
2023	J	`jnl`	Use Your INSTINCT: INSTruction optimization usIng Neural bandits Coupled with Transformers. CoRR Xiaoqiang Lin, Zhaoxuan Wu, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low
2023	A*	`conf`	Zeroth-Order Optimization with Trajectory-Informed Derivative Estimation. ICLR Yao Shu, Zhongxiang Dai, Weicong Sng, Arun Verma, Patrick Jaillet, Bryan Kian Hsiang Low
2022	A*	`conf`	DAVINZ: Data Valuation using Deep Neural Networks at Initialization. ICML Zhaoxuan Wu, Yao Shu, Bryan Kian Hsiang Low
2022	J	`jnl`	Federated Neural Bandit. CoRR Zhongxiang Dai, Yao Shu, Arun Verma, Flint Xiaofeng Fan, Bryan Kian Hsiang Low, Patrick Jaillet
2022	A*	`conf`	NASI: Label- and Data-agnostic Neural Architecture Search at Initialization. ICLR Yao Shu, Shaofeng Cai, Zhongxiang Dai, Beng Chin Ooi, Bryan Kian Hsiang Low
2022	A	`conf`	Neural ensemble search via Bayesian sampling. UAI Yao Shu, Yizhou Chen, Zhongxiang Dai, Bryan Kian Hsiang Low
2022	A*	`conf`	Sample-Then-Optimize Batch Neural Thompson Sampling. NeurIPS Zhongxiang Dai, Yao Shu, Bryan Kian Hsiang Low, Patrick Jaillet
2022	J	`jnl`	Sample-Then-Optimize Batch Neural Thompson Sampling. CoRR Zhongxiang Dai, Yao Shu, Bryan Kian Hsiang Low, Patrick Jaillet
2022	A*	`conf`	Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search. NeurIPS Yao Shu, Zhongxiang Dai, Zhaoxuan Wu, Bryan Kian Hsiang Low
2022	J	`jnl`	Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search. CoRR Yao Shu, Zhongxiang Dai, Zhaoxuan Wu, Bryan Kian Hsiang Low
2021	A	`conf`	Dynamic Routing Networks. WACV Shaofeng Cai, Yao Shu, Wei Wang
2021	J	`jnl`	Going Beyond Neural Architecture Search with Sampling-based Neural Ensemble Search. CoRR Yao Shu, Yizhou Chen, Zhongxiang Dai, Bryan Kian Hsiang Low
2021	J	`jnl`	NASI: Label- and Data-agnostic Neural Architecture Search at Initialization. CoRR Yao Shu, Shaofeng Cai, Zhongxiang Dai, Beng Chin Ooi, Bryan Kian Hsiang Low
2020	J	`jnl`	Multimodal information fusion based human movement recognition. Multim. Tools Appl. Yao Shu, Heng Zhang
2020	J	`jnl`	Tight Lower Complexity Bounds for Strongly Convex Finite-Sum Optimization. CoRR Min Zhang, Yao Shu, Kun He
2020	A*	`conf`	Understanding Architectures Learnt by Cell-based Neural Architecture Search. ICLR Yao Shu, Wei Wang, Shaofeng Cai
2019	J	`jnl`	Efficient Memory Management for GPU-based Deep Learning Systems. CoRR Junzhe Zhang, Sai-Ho Yeung, Yao Shu, Bingsheng He, Wei Wang
2019	J	`jnl`	ISBNet: Instance-aware Selective Branching Network. CoRR Shaofeng Cai, Yao Shu, Wei Wang, Beng Chin Ooi
2019	J	`jnl`	Parameterized representation and solution method of the lightweight 3D model virtual assembly constraint. J. Ambient Intell. Humaniz. Comput. Buyun Sheng, Feiyu Zhao, Chenglei Zhang, Xiyan Yin, Yao Shu
2019	J	`jnl`	Research and development of off-line services for the 3D automatic printing machine based on cloud manufacturing. J. Ambient Intell. Humaniz. Comput. Chenglei Zhang, Buyun Sheng, Xiyan Yin, Feiyu Zhao, Yao Shu
2019	J	`jnl`	Wireless non-invasive motion tracking of functional behavior. Pervasive Mob. Comput. Heng Zhang, Jan D. Smeddinck, Rainer Malaka, Yao Shu, Chong Chen, Bo He, Zengjun Fu, Michael Lawo
2018	—	`conf`	Research on Human Motion Recognition Based on Wi-Fi and Inertial Sensor Signal Fusion. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Yao Shu, Chong Chen, Kuang-I Shu, Heng Zhang
2018	B	`conf`	WiTT: Modeling and the evaluation of table tennis actions based on WIFI signals. ICPR Chong Chen, Yao Shu, Kuang-I Shu, Heng Zhang
2017	J	`jnl`	Understanding Deep Representations through Random Weights. CoRR Yao Shu, Man Zhu, Kun He, John E. Hopcroft, Pan Zhou
2005	C	`conf`	An OO-based Design Model of Software Agent. PDCAT Jianxing Li, Xinjun Mao, Yao Shu