Author

Lu Wang

Observed name: Wang, Lu

Institutions: Xidian University, University of Michigan, South China University of Technology

Observed institutions: Microsoft (United States), Xidian University, Sichuan University, Chang'an University, University of Michigan, Jingdong (China), Allen Institute for Artificial Intelligence, Wuxi Vocational College of Science and Technology, Zhejiang University, South China University of Technology

ORCID: 0000-0003-2210-169X

Observed ORCID: 0000-0003-2210-169X

OpenAlex ID: A5101483717

Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection

2024 · Xincheng Yao, Ruoqi Li, et al. · Lecture notes in computer science · 26

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Estimation of Rice Leaf Nitrogen Content Using UAV-Based Spectral–Texture Fusion Indices (STFIs) and Two-Stage Feature Selection

2025 · Xiaopeng Zhang, Yating Hu, et al. · Remote Sensing · 12

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Integrating Cross-Domain Feature Representation and Semantic Guidance for Underwater Image Enhancement

2024 · Fei Li, Jiangbin Zheng, et al. · IEEE Signal Processing Letters · 9

Correction to: On methodology and application of smoothed particle hydrodynamics in fluid, solid and biomechanic

2023 · Fei Xu, Jiayi Wang, et al. · Acta Mechanica Sinica · 5

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DistriAD: Distributed Anomaly Detection for Large-Scale Microservice Systems

2025 · Yaxiao Li, Qingshan Li, et al. · IEEE International Conference on Web Services (ICWS) · 2

Microstructure, Variant Selection, and Mechanical Properties of Laser-Welded Ti-4Al-2V Joints

2024 · Yonghui Zhu, Lili Lu, et al. · Metals · 2

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Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems

2024 · Zhiguang Yang, Liufang Sang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models

2025 · Huawen Feng, Pu Zhao, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 1

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On Many-Shot In-Context Learning for Long-Context Evaluation

2025 · Kaijian Zou, Muhammad Khalifa, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 1

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Source-Aware Training Enables Knowledge Attribution in Language Models

2024 · Khalifa, Muhammad, Wadden, David, et al. · arXiv (Cornell University) · 1

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Optimization of Train Operation Based on Cooperative Game Under Virtual Coupling Condition

2023 · Junqing Liu, Shuai Su, et al. · IEEE International Conference on Intelligent Transportation Systems (ITSC) · 1

WarriorMath: Enhancing the Mathematical Ability of Large Language Models with a Defect-aware Framework

2025 · Chen, Yue, He, Minghua, et al. · arXiv (Cornell University)

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models

2024 · Feng, Huawen, Zhao, Pu, et al. · arXiv (Cornell University)

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RuAG: Learned-rule-augmented Generation for Large Language Models

2024 · Zhang, Yudi, Xiao, Pei, et al. · arXiv (Cornell University)

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Investigating dynamic parameter importance of a high-complexity hydrological model and implications for parameterization

2024 · Lu Wang, Yueping Xu, et al.

Digital Technology：As a Manner of Sustainable Transformation for Stakeholders in Cultural Inheritance

2024 · Lu Wang · AHFE international

Works count: 16

Citation count: 62

H-index: 4

I10-index: 2