Search Results - "Zhao, Minglu"

Cabin air dynamics: Unraveling the patterns and drivers of volatile organic compound distribution in vehicles by Zhang, Rui, Zhao, Minglu, Wang, Hengwei, Wang, Haimei, Kong, Hui, Wang, Keliang, Koutrakis, Petros, Huang, Shaodan, Xiong, Jianyin

“…Volatile organic compounds (VOCs) are ubiquitous in vehicle cabin environments, which can significantly impact the health of drivers and passengers, whereas…”
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Quick and label-free detection for Coumaphos by using surface plasmon resonance biochip by Li, Ying, Ma, Xiao, Zhao, Minglu, Qi, Pan, Zhong, Jingang

“…Coumaphos is a common organophosphorus pesticide used in agricultural products. It is harmful to human health and has a strictly stipulated maximum residue…”
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Inverse Reinforcement Learning with Failed Demonstrations towards Stable Driving Behavior Modeling by Zhao, Minglu, Shimosaka, Masamichi

“…Driving behavior modeling is crucial in autonomous driving systems for preventing traffic accidents. Inverse reinforcement learning (IRL) allows autonomous…”
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Spatiotemporal Anomaly Detection for Large-Scale Sensor Data by Zhao, Minglu, Takizawa, Hiroyuki, Soma, Tomoya

“…In the Internet of Things era, thousands of sensors are used to monitor machine health conditions in modern factories. Such sensing data are often analyzed to…”
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Automated selection of build configuration based on machine learning by Furuhata, Reo, Zhao, Minglu, Takahashi, Keichi, Shimomura, Yoichi, Takizawa, Hiroyuki

“…Nowadays, High-Performance Computing (HPC) application codes are becoming larger and more complex. There is an increasing demand for optimizing such codes to…”
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Failure Prediction in Datacenters Using Unsupervised Multimodal Anomaly Detection by Zhao, Minglu, Furuhata, Reo, Agung, Mulya, Takizawa, Hiroyuki, Soma, Tomoya

“…Predicting hard drive failures in datacenters can help avoid wasting resources and waiting time for recovery. Anomaly detection from sensing data is commonly…”
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Accurate reaction barriers and rate constants of H-abstraction from primary, secondary, and tertiary amines by H atom determined with the isodesmic reaction method by Zhao, Minglu, Ning, Hongbo, Shang, Yanlei, Shi, Jinchun

“…[Display omitted] •Solving the accurate energy barrier calculations for H-abstraction reactions (amines + H) at a low level HF method.•Providing the accurate…”
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TA2V: Text-Audio Guided Video Generation by Zhao, Minglu, Wang, Wenmin, Chen, Tongbao, Zhang, Rui, Li, Ruochen

“…Recent conditional and unconditional video generation tasks have been accomplished mainly based on generative adversarial network (GAN), diffusion, and…”
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DS&STM-Net: A novel hybrid network of feature mutual fusion for medical image segmentation by Chen, Qi, Wang, Wenmin, Wang, Zhibing, Jia, Haomei, Zhao, Minglu

“…Medical image segmentation can effectively help doctors diagnose diseases faster in clinical medicine. The use of deep models for medical image segmentation…”
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Intention beyond desire: Spontaneous intentional commitment regulates conflicting desires by Cheng, Shaozhe, Zhao, Minglu, Tang, Ning, Zhao, Yang, Zhou, Jifan, Shen, Mowei, Gao, Tao

“…The human mind is a mosaic composed of multiple selves with conflicting desires. How can coherent actions emerge from such conflicts? Classical desire theory…”
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SgLFT: Semantic-guided Late Fusion Transformer for video corpus moment retrieval by Chen, Tongbao, Wang, Wenmin, Zhao, Minglu, Li, Ruochen, Jiang, Zhe, Yu, Cheng

“…Video corpus moment retrieval aims to locate video segments that semantically correspond to natural language queries in a large collection. Effective…”
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Ultrahigh-definition video quality assessment: A new dataset and benchmark by Li, Ruochen, Wang, Wenmin, Hu, Huanqiang, Chen, Tongbao, Zhao, Minglu

“…Video quality assessment (VQA) based on deep learning requires a massive amount of data for support. However, existing mainstream datasets do not consider the…”
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Joint Commitment in Human Cooperative Hunting through an “Imagined We” by Gong, Siyi, Tang, Ning, Zhao, Minglu, Zhou, Jifan, Shen, Mowei, Gao, Tao

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Imagined We: Understanding and Bridging the Gap Between Human Cooperation and Multi-Agent Reinforcement Learning by Zhao, Minglu

“…Cooperation is a fundamental characteristic of humans that enables complex social interactions and joint achievements beyond the capacity of individuals…”
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A Bayesian theory of mind approach to modeling cooperation and communication by Stacy, Stephanie, Gong, Siyi, Parab, Aishni, Zhao, Minglu, Jiang, Kaiwen, Gao, Tao

“…Language has been widely acknowledged as the benchmark of intelligence. However, evidence from cognitive science shows that intelligent behaviors in robust…”
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From Cognition to Computation: A Comparative Review of Human Attention and Transformer Architectures by Zhao, Minglu, Xu, Dehong, Gao, Tao

“…Attention is a cornerstone of human cognition that facilitates the efficient extraction of information in everyday life. Recent developments in artificial…”
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Inverse Attention Agent for Multi-Agent System by Long, Qian, Li, Ruoyan, Zhao, Minglu, Gao, Tao, Terzopoulos, Demetri

“…A major challenge for Multi-Agent Systems is enabling agents to adapt dynamically to diverse environments in which opponents and teammates may continually…”
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Quick and Label-Free Detection for Coumaphos by Using Surface Plasmon Resonance Biochip: e104689 by Li, Ying, Ma, Xiao, Zhao, Minglu, Qi, Pan, Zhong, Jingang

“…Coumaphos is a common organophosphorus pesticide used in agricultural products. It is harmful to human health and has a strictly stipulated maximum residue…”
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Emergent Spatial Characteristics from Strategic Games Simulated on Random and Real Networks by Zhao, Louis, Gan, Chen Ye, Zhao, Minglu

“…Complex networks are a great tool for simulating the outcomes of different strategies used within the iterated prisoners' dilemma game. However, because the…”
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Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference by Kong, Deqian, Xu, Dehong, Zhao, Minglu, Pang, Bo, Xie, Jianwen, Lizarraga, Andrew, Huang, Yuhao, Xie, Sirui, Wu, Ying Nian

“…In tasks aiming for long-term returns, planning becomes essential. We study generative modeling for planning with datasets repurposed from offline…”
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