Wenyang Hu

25 papers A* 6Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Classifier-free diffusion-based weakly-supervised approach for health indicator derivation in rotating machines: Advancing early fault detection and condition monitoring.
Reliab. Eng. Syst. Saf.
Wenyang Hu, Gaëtan Frusque, Tianyang Wang, Fulei Chu, Olga Fink
2025 A* conf
Dipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning Tasks.
EMNLP
Wenyang Hu, Gregory Kang Ruey Lau, Diwen Liu, Jizhuo Chen, See-Kiong Ng, Bryan Kian Hsiang Low
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
Uncovering Scaling Laws for Large Language Models via Inverse Problems.
EMNLP (Findings)
Arun Verma, Zhaoxuan Wu, Zijian Zhou, Xiaoqiang Lin, Zhiliang Chen, Rachael Hwee Ling Sim, Rui Qiao, Jingtan Wang, Nhung Bui, Xinyuan Niu, Wenyang Hu, Gregory Kang Ruey Lau, Zi-Yu Khoo, Zitong Zhao, Xinyi Xu, Apivich Hemachandra, See-Kiong Ng, Bryan Kian Hsiang Low
2025 J jnl
Uncovering Scaling Laws for Large Language Models via Inverse Problems.
CoRR
Arun Verma, Zhaoxuan Wu, Zijian Zhou, Xiaoqiang Lin, Zhiliang Chen, Rachael Hwee Ling Sim, Rui Qiao, Jingtan Wang, Nhung Bui, Xinyuan Niu, Wenyang Hu, Gregory Kang Ruey Lau, Zi-Yu Khoo, Zitong Zhao, Xinyi Xu, Apivich Hemachandra, See-Kiong Ng, Bryan Kian Hsiang Low
2024 J jnl
Classifier-Free Diffusion-Based Weakly-Supervised Approach for Health Indicator Derivation in Rotating Machines: Advancing Early Fault Detection and Condition Monitoring.
CoRR
Wenyang Hu, Gaëtan Frusque, Tianyang Wang, Fulei Chu, Olga Fink
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
Dipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning tasks.
CoRR
Gregory Kang Ruey Lau, Wenyang Hu, Diwen Liu, Jizhuo Chen, See-Kiong Ng, 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 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 J jnl
Modeling of Interturn Short Fault in Interior Permanent Magnet Synchronous Motors With Multistrand Windings.
IEEE Trans. Ind. Electron.
Qingkai Zhou, Wenyang Hu, Tianyang Wang, Fulei Chu
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 J jnl
Transparent Operator Network: A Fully Interpretable Network Incorporating Learnable Wavelet Operator for Intelligent Fault Diagnosis.
IEEE Trans. Ind. Informatics
Qi Li, Hua Li, Wenyang Hu, Shilin Sun, Zhaoye Qin, Fulei Chu
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 J jnl
A Spatial-Temporal Transformer based Framework For Human Pose Assessment And Correction in Education Scenarios.
CoRR
Wenyang Hu, Kai Liu, Libin Liu, Huiliang Shang
2023 J jnl
A Wasserstein generative digital twin model in health monitoring of rotating machines.
Comput. Ind.
Wenyang Hu, Tianyang Wang, Fulei Chu
2023 J jnl
Matching contrastive learning: An effective and intelligent method for wind turbine fault diagnosis with imbalanced SCADA data.
Expert Syst. Appl.
Shilin Sun, Wenyang Hu, Yuekai Liu, Tianyang Wang, Fulei Chu
2023 J jnl
Novel Ramanujan Digital Twin for Motor Periodic Fault Monitoring and Detection.
IEEE Trans. Ind. Informatics
Wenyang Hu, Tianyang Wang, Fulei Chu
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
2022 J jnl
Fault Feature Recovery With Wasserstein Generative Adversarial Imputation Network With Gradient Penalty for Rotating Machine Health Monitoring Under Signal Loss Condition.
IEEE Trans. Instrum. Meas.
Wenyang Hu, Tianyang Wang, Fulei Chu
2020 J jnl
GTC: Guided Training of CTC Towards Efficient and Accurate Scene Text Recognition.
CoRR
Wenyang Hu, Xiaocong Cai, Jun Hou, Shuai Yi, Zhiping Lin
2020 A* conf
GTC: Guided Training of CTC towards Efficient and Accurate Scene Text Recognition.
AAAI
Wenyang Hu, Xiaocong Cai, Jun Hou, Shuai Yi, Zhiping Lin