Search Results - "Gao, Mingyu"

Practical Near-Data Processing for In-Memory Analytics Frameworks by Mingyu Gao, Ayers, Grant, Kozyrakis, Christos

“…The end of Dennard scaling has made all systemsenergy-constrained. For data-intensive applications with limitedtemporal locality, the major energy bottleneck…”
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HRL: Efficient and flexible reconfigurable logic for near-data processing by Mingyu Gao, Kozyrakis, Christos

“…The energy constraints due to the end of Dennard scaling, the popularity of in-memory analytics, and the advances in 3D integration technology have led to…”
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A Transfer Residual Neural Network Based on ResNet-34 for Detection of Wood Knot Defects by Mingyu Gao, Dawei Qi, Hongbo Mu, Jianfeng Chen

“…In recent years, due to the shortage of timber resources, it has become necessary to reduce the excessive consumption of forest resources. Non-destructive…”
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Hydrocarbon Transportation in Heterogeneous Shale Pores by Molecular Dynamic Simulation by Sun, Shuo, Gao, Mingyu, Liang, Shuang, Liu, Yikun

“…Shale oil in China is widely distributed and has enormous resource potential. The pores of shale are at the nanoscale, and traditional research methods…”
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A New Hybrid Neural Network Method for State-of-Health Estimation of Lithium-Ion Battery by Bao, Zhengyi, Jiang, Jiahao, Zhu, Chunxiang, Gao, Mingyu

“…Accurate estimation of lithium-ion battery state-of-health (SOH) is important for the safe operation of electric vehicles; however, in practical applications,…”
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TensorRT Powered Model for Ultra-Fast Li-Ion Battery Capacity Prediction on Embedded Devices by Zhu, Chunxiang, Qian, Jiacheng, Gao, Mingyu

“…The LSTM neural network is often employed for time-series data prediction due to its strong nonlinear mapping capability and memory effect, allowing for better…”
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MSA-MOT: Multi-Stage Association for 3D Multimodality Multi-Object Tracking by Zhu, Ziming, Nie, Jiahao, Wu, Han, He, Zhiwei, Gao, Mingyu

“…Three-dimensional multimodality multi-object tracking has attracted great attention due to the use of complementary information. However, such a framework…”
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hnRNPA2B1-Mediated Extracellular Vesicles Sorting of miR-122-5p Potentially Promotes Lung Cancer Progression by Li, Chuang, Qin, Fang, Wang, Wei, Ni, Yifan, Gao, Mingyu, Guo, Mingxiong, Sun, Guihong

“…Extracellular vesicles (EVs) released by tumor cells play important roles on the remodeling of the tumor-stromal environment and on promoting tumor metastasis…”
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GTAD: Graph and Temporal Neural Network for Multivariate Time Series Anomaly Detection by Guan, Siwei, Zhao, Binjie, Dong, Zhekang, Gao, Mingyu, He, Zhiwei

“…The rapid development of smart factories, combined with the increasing complexity of production equipment, has resulted in a large number of multivariate time…”
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One-Shot Multiple Object Tracking in UAV Videos Using Task-Specific Fine-Grained Features by Wu, Han, Nie, Jiahao, He, Zhiwei, Zhu, Ziming, Gao, Mingyu

“…Multiple object tracking (MOT) in unmanned aerial vehicle (UAV) videos is a fundamental task and can be applied in many fields. MOT consists of two critical…”
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BLSENet: A Novel Lightweight Bilinear Convolutional Neural Network Based on Attention Mechanism and Feature Fusion Strategy for Apple Leaf Disease Classification by Fang, Tianyu, Zhang, Jialin, Qi, Dawei, Gao, Mingyu

“…Accurate identification of apple leaf diseases is of great significance for improving apple yield. The lesion area of the apple leaf disease image is small and…”
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Collaborative Pushing and Grasping of Tightly Stacked Objects via Deep Reinforcement Learning by Yang, Yuxiang, Ni, Zhihao, Gao, Mingyu, Zhang, Jing, Tao, Dacheng

“…Directly grasping the tightly stacked objects may cause collisions and result in failures, degenerating the functionality of robotic arms. Inspired by the…”
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Leveraging temporal-aware fine-grained features for robust multiple object tracking by Wu, Han, Nie, Jiahao, Zhu, Ziming, He, Zhiwei, Gao, Mingyu

“…Existing multi-object trackers mainly apply the tracking-by-detection (TBD) paradigm and have achieved remarkable success. However, the mainstream methods…”
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Online state-of-health estimation of lithium-ion batteries using Dynamic Bayesian Networks by He, Zhiwei, Gao, Mingyu, Ma, Guojin, Liu, Yuanyuan, Chen, Sanxin

“…Li-ion batteries are widely used in energy storage systems, electric vehicles, communication systems, etc. The State of Health (SOH) of batteries is of great…”
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On-Board Unit (OBU)-Supported Longitudinal Driving Behavior Monitoring Using Machine Learning Approaches by Wei, Leyu, Liang, Lichan, Lei, Tian, Yin, Xiaohong, Wang, Yanyan, Gao, Mingyu, Liu, Yunpeng

“…Driving behavior recognition can provide an important reference for the intelligent vehicle industry and probe vehicle-based traffic estimation. The…”
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Prognosis of Lithium-Ion Batteries’ Remaining Useful Life Based on a Sequence-to-Sequence Model with Variational Mode Decomposition by Zhu, Chunxiang, He, Zhiwei, Bao, Zhengyi, Sun, Changcheng, Gao, Mingyu

“…The time-varying, dynamic, nonlinear, and other characteristics of lithium-ion batteries, as well as the capacity regeneration phenomenon, leads to the low…”
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A Dynamic Transition Algorithm Integrated with Hybrid Modulation for CLLC Resonant Converters by Qian, Jiaxin, Lin, Huipin, Tong, Hongtao, Gao, Mingyu, He, Zhiwei

“…The CLLC resonant converter is a widely used bidirectional power converter known for its high energy transfer efficiency. To extend its operating range, the…”
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A Multiscale Recognition Method for the Optimization of Traffic Signs Using GMM and Category Quality Focal Loss by Gao, Mingyu, Chen, Chao, Shi, Jie, Lai, Chun Sing, Yang, Yuxiang, Dong, Zhekang

“…Effective traffic sign recognition algorithms can assist drivers or automatic driving systems in detecting and recognizing traffic signs in real-time. This…”
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Fast Preparation of High-Performance Wood Materials Assisted by Ultrasonic and Vacuum Impregnation by Hong Yang, Mingyu Gao, Jinxin Wang, Hongbo Mu, Dawei Qi

“…In the absence of high-quality hardwood timber resources, we have gradually turned our attention from natural forests to planted fast-growing forests. However,…”
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Energy-Efficient Abundant-Data Computing: The N3XT 1,000x by Sabry Aly, Mohamed M., Mingyu Gao, Hills, Gage, Chi-Shuen Lee, Pitner, Greg, Shulaker, Max M., Wu, Tony F., Asheghi, Mehdi, Bokor, Jeff, Franchetti, Franz, Goodson, Kenneth E., Kozyrakis, Christos, Markov, Igor, Olukotun, Kunle, Pileggi, Larry, Pop, Eric, Rabaey, Jan, Re, Christopher, Wong, H.-S Philip, Mitra, Subhasish

“…Next-generation information technologies will process unprecedented amounts of loosely structured data that overwhelm existing computing systems. N3XT improves…”
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