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Qinwen Wang

Confidence Estimation Transformer for Long-Term Renewable Energy Forecasting in Reinforcement Learning-based Power Grid Dispatching
2024 · Li, Xinhang, Li, Zihao, et al. · CSEE Journal of Power and Energy Systems · 29
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Progression Cognition Reinforcement Learning With Prioritized Experience for Multi-Vehicle Pursuit
2024 · Xinhang Li, Yiying Yang, et al. · IEEE Transactions on Intelligent Transportation Systems · 14
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T3OMVP: A Transformer-Based Time and Team Reinforcement Learning Scheme for Observation-Constrained Multi-Vehicle Pursuit in Urban Area
2022 · Zheng Yuan, Tianhao Wu, et al. · Electronics · 13
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Exploring clinical indicator variations in stroke patients with multiple risk factors: focus on hypertension and inflammatory reactions
2024 · Jiejie Guo, Mei Tian, et al. · European journal of medical research · 6
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A distributed multi-vehicle pursuit scheme: generative multi-adversarial reinforcement learning
2023 · Xinhang Li, Yiying Yang, et al. · Intelligence & Robotics · 6
An Opponent-Aware Reinforcement Learning Method for Team-to-Team Multi-Vehicle Pursuit via Maximizing Mutual Information Indicator
2022 · Qinwen Wang, Xinhang Li, et al. · International Conference on Mobility, Sensing and Networking (MSN) · 5
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Graded-Q Reinforcement Learning with Information-Enhanced State Encoder for Hierarchical Collaborative Multi-Vehicle Pursuit
2022 · Yiying Yang, Xinhang Li, et al. · International Conference on Mobility, Sensing and Networking (MSN) · 5
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Complementary database generation for machine learning in quality prediction of cold ring rolling
2023 · Qinwen Wang, Johannes Seitz, et al. · Sächsische Fachtagung Umformtechnik (SFU) · 3
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Algorithm for a Comparable Calculation of Form Errors Based on a Hybrid Database in Cold Ring Rolling
2025 · Qinwen Wang, Johannes Seitz, et al. · Lecture notes in production engineering · 2
Improvement of Machine Learning Models for Time Series Forecasting in Radial-Axial Ring Rolling through Transfer Learning
2023 · Johannes Seitz, Qinwen Wang, et al. · Sächsische Fachtagung Umformtechnik (SFU) · 2
Synthetic process modeling for ring rolling via physics-guided GANs and analytical transfer learning
2026 · Johannes Seitz, Qinwen Wang, et al. · Journal of Intelligent Manufacturing · 1
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A Review of Data-Centric Optimization and Machine Learning in Ring Rolling
2025 · Johannes Seitz, Qinwen Wang, et al. · Lecture notes in production engineering · 1
Simulation-Driven Machine Learning for Ring Rolling: A Proof of Concept on Transfer and Hybrid Learning Approaches
2026 · Johannes Seitz, Luca Quagliato, et al. · Research Square
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GateDiffInt: Gate-Mediated Controllable Diffusion and Multi-Intent LLM Distillation for User Behavior Modeling
2026 · Duan, Jialong, Zhang, Zichen, et al. · arXiv (Cornell University)
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A Semi-Analytical Approach for Process Modeling in Cold Ring Rolling
2026 · Qinwen Wang, Johannes Seitz, et al. · Lecture notes in production engineering
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Machine-readable region identification from partially blurred document images
2015 · Qinwen Wang, Yixue Wang, et al. · IAPR International Conference on Document Analysis and Recognition (ICDAR)
Research on Color Matching of Real Dot Proofing
2011 · Qinwen Wang, Shiyu Fu, et al. · Technical programs and proceedings/Technical program and proceedings
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Works count: 17
Citation count: 87
H-index: 5
I10-index: 3
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