Xi Liu

Enhancing Offline Model-Based RL via Active Model Selection: A Bayesian Optimization Perspective

Yuwei Yang, Wei Hung, Yun-Ming Chan, Xi Liu et autres

Abstract Offline model-based reinforcement learning (MBRL) serves as a competitive framework that can learn well-performing policies solely from pre-collected data with the help of learned dynamics models. To fully unleash the power of offline MBRL, model selection plays a pivotal role in …

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Low-cycle fatigue reliability analysis of curvic couplings on an artificial neural network surrogate model

Rongqiao Wang, Xi Liu, Gaoxiang Chen, Dianyin Hu

Due to the structural complexity of curvic couplings, conducting extensive physical experiments poses considerable challenges. Consequently, an artificial neural network (ANN) surrogate model is proposed. Using both standard and notched specimens, a fatigue life model for low-cycle loading is formulated within the …

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Research on Constructing a Compatible Mechanism for Cultivating TCM Talents through the Integration of Traditional Apprenticeship and Academic Education

Hongting Lu, Xi Liu, Bingbing Chen, Heguo Yan et autres

This study is based on the background of the new era of innovation and inheritance in traditional Chinese medicine (TCM), with the fundamental goal of promoting the high-quality development of TCM. Guided by a deep understanding of General Secretary Xi Jinping‘s important …

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Author response for "Bayesian Network‐Based Uncertainty Quantification of Ship Isolation System Using Multi‐Level Data"

Rongqiao Wang, Hua Yuan, Xi Liu, Jun He et autres

GATFELPA integrates graph attention networks and enhanced label propagation for robust community detection

Feiyi Tang, Junxian Li, Xi Liu, Chao Hsi Chang et autres

Community detection in graph networks is a fundamental yet challenging task due to limitations in existing methods. Traditional Graph Convolutional Network (GCN)-based models often suffer from over-smoothing, which results in indistinguishable node representations after excessive aggregation. Additionally, many models face computational inefficiency, …

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Temporal Lobe Glioma Surgery

Rui Feng, Jinsong Wu, Chen Luo, Youkun Qian et autres

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Nucleotide-binding oligomerization domain 1 (NOD1) regulates microglial activation in pseudorabies virus infection

Xiuxiu Sun, Xinxin Jin, Zhengdan Lin, Xi Liu et autres

The primary cause of viral encephalitis (VE) is invasion of the central nervous system (CNS) by the virus, which leads to neuroinflammation and poses a significant threat to global public health. Microglia, as CNS-resident macrophages, play a crucial role in neuroinflammation and …

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Evidential Reasoning in the Calculation of Individual Injury Claims Reserve

Karim Derrick, Xi Liu

Effective claims reserving, putting aside enough money to meet expected claim liabilities, is required by insurer regulators to ensure insurer solvency. Traditional techniques for reserving have tended to focus on aggregated techniques such as chain-ladder or left-to-expert estimation from claim attor-neys/solicitors. Individual …

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CustomListener: Text-Guided Responsive Interaction for User-Friendly Listening Head Generation

Xi Liu, Ying Guo, Cheng Zhen, Tong Li et autres

Listening head generation aims to synthesize a non-verbal responsive listener head by modeling the correlation between the speaker and the listener in dynamic conversion. The applications of listener agent generation in virtual interaction have promoted many works achieving diverse and fine-grained motion …

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The spatial heterogeneity of public health resources: a study of the socioeconomic, demographic, and natural geographic conditions of ethnic minority regions in southwestern China

Zheng Wang, Huaxiang Lu, Xi Liu, Qiuli Chen et autres

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Effects of dietary interventions and different types of physical activity in sedentary obese adults: a network meta-analysis

Chongpeng Wang, Xi Liu, Shengchih Chow, Ping Zhang

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Fearless Steps Apollo: Team Communications Based Community Resource Development for Science, Technology, Education, and Historical Preservation

John H. L. Hansen, Aditya Joglekar, Meena M. C. Shekar, Szu-Jui Chen et autres

The Fearless Steps Apollo (FS-APOLLO) resource is a collection of 150,000 hours of audio, associated meta-data, and supplemental speech technology infrastructure intended to benefit the (i) speech processing technology, (ii) communication science, team-based psychology, and (iii) education/STEM, history/preservation/archival communities. The FS-APOLLO initiative …

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