Search Results - "Wu, Yaoxin"

A review on learning to solve combinatorial optimisation problems in manufacturing by Zhang, Cong, Wu, Yaoxin, Ma, Yining, Song, Wen, Le, Zhang, Cao, Zhiguang, Zhang, Jie

“…An efficient manufacturing system is key to maintaining a healthy economy today. With the rapid development of science and technology and the progress of human…”
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Delayed immune-related adverse events profile associated with immune checkpoint inhibitors: a real-world analysis by Yang, Yana, Li, Linman, Tian, Jing, Ma, Linwen, Wu, Yaoxin, Luo, Qian, Luo, Yan

“…Background Immune-related adverse events (irAEs) typically occur within 3 months of initiating immune-checkpoint inhibitors (ICIs), which has been extensively…”
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A metabolic reprogramming-related gene signature correlates with prognosis and proliferation of BLCA by Wu, Yaoxin, Luo, Yi, Li, Tinghao

“…Bladder cancer (BLCA) is one of the most frequent urothelium carcinoma, but with poor prognosis due to lack of reliable predictive biomarkers. Metabolic…”
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Regulation of Sirtuins in Sepsis-Induced Myocardial Damage: The Underlying Mechanisms for Cardioprotection by Pei, Zuowei, Yao, Wei, Wang, Shuo, Wu, Yaoxin

“…Sepsis is defined as "a life-threatening organ dysfunction caused by a dysregulated host response to infection". Although the treatment of sepsis has evolved…”
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A Q-Learning Based Hybrid Meta-Heuristic for Integrated Scheduling of Disassembly and Reprocessing Processes Considering Product Structures and Stochasticity by Fuquan Wang, Yaping Fu, Kaizhou Gao, Yaoxin Wu, Song Gao

“…Remanufacturing is regarded as a sustainable manufacturing paradigm of energy conservation and environment protection. To improve the efficiency of the…”
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Facial features for gender recognition by Liao, Guangjun, Chen, Wei, Wu, Yaoxin

“…Facial features are complex data sets including both personal features and common features. Gender recognition based on facial features is a study on common…”
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Learning Improvement Heuristics for Solving Routing Problems by Wu, Yaoxin, Song, Wen, Cao, Zhiguang, Zhang, Jie, Lim, Andrew

“…Recent studies in using deep learning (DL) to solve routing problems focus on construction heuristics, whose solutions are still far from optimality…”
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Deep Reinforcement Learning for Solving Vehicle Routing Problems With Backhauls by Wang, Conghui, Cao, Zhiguang, Wu, Yaoxin, Teng, Long, Wu, Guohua

“…The vehicle routing problem with backhauls (VRPBs) is a challenging problem commonly studied in computer science and operations research. Featured by linehaul…”
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Infrared Small Target Detection Improvement via Hybrid Data Augmentation Using Diffusion Models and GAN by Ding, Hongwei, Huang, Nana, Wu, Yaoxin, Cui, Xiaohui

“…Deep learning models based on Convolutional Neural Networks (CNNs) have been widely researched and applied in the field of Infrared Small Target Detection…”
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Learning Feature Embedding Refiner for Solving Vehicle Routing Problems by Li, Jingwen, Ma, Yining, Cao, Zhiguang, Wu, Yaoxin, Song, Wen, Zhang, Jie, Chee, Yeow Meng

“…While the encoder-decoder structure is widely used in the recent neural construction methods for learning to solve vehicle routing problems (VRPs), they are…”
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LEGAN: Addressing Intra-class Imbalance in GAN-based Medical Image Augmentation for Improved Imbalanced Data Classification by Ding, Hongwei, Huang, Nana, Wu, Yaoxin, Cui, Xiaohui

“…Currently, medical image classification is challenged by performance degradation due to imbalanced data. Balancing the data through sample augmentation proves…”
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LEGAN: Addressing Intraclass Imbalance in GAN-Based Medical Image Augmentation for Improved Imbalanced Data Classification by Ding, Hongwei, Huang, Nana, Wu, Yaoxin, Cui, Xiaohui

“…Currently, the medical image classification is challenged by performance degradation due to imbalanced data. Balancing the data through sample augmentation…”
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Instance-specific algorithm configuration via unsupervised deep graph clustering by Song, Wen, Liu, Yi, Cao, Zhiguang, Wu, Yaoxin, Li, Qiqiang

“…Instance-specific Algorithm Configuration (AC) methods are effective in automatically generating high-quality algorithm parameters for heterogeneous NP-hard…”
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Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling by Zhou, Jianan, Wu, Yaoxin, Cao, Zhiguang, Song, Wen, Zhang, Jie, Chen, Zhenghua

“…Dispatching vehicle fleets to serve flights is a key task in airport ground handling (AGH). Due to the notable growth of flights, it is challenging to…”
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Conditional Neural Heuristic for Multiobjective Vehicle Routing Problems by Fan, Mingfeng, Wu, Yaoxin, Cao, Zhiguang, Song, Wen, Sartoretti, Guillaume, Liu, Huan, Wu, Guohua

“…Existing neural heuristics for multiobjective vehicle routing problems (MOVRPs) are primarily conditioned on instance context, which failed to appropriately…”
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Neural Airport Ground Handling by Wu, Yaoxin, Zhou, Jianan, Xia, Yunwen, Zhang, Xianli, Cao, Zhiguang, Zhang, Jie

“…Airport ground handling (AGH) offers necessary operations to flights during their turnarounds and is of great importance to the efficiency of airport…”
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Deep Reinforcement Learning for UAV Routing in the Presence of Multiple Charging Stations by Fan, Mingfeng, Wu, Yaoxin, Liao, Tianjun, Cao, Zhiguang, Guo, Hongliang, Sartoretti, Guillaume, Wu, Guohua

“…Deploying Unmanned Aerial Vehicles (UAVs) for traffic monitoring has been a hotspot given their flexibility and broader view. However, a UAV is usually…”
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Synergistic effect of F doping and WO3 loading on electrocatalytic oxygen evolution by Lu, Ke, Wang, Zongyuan, Wu, Yaoxin, Zhai, Xingwu, Wang, Chenxu, Li, Ju, Wang, Zhimou, Li, Xinyi, He, Yuxuan, An, Ting, Yang, Kun, Yang, Dezheng, Yu, Feng, Dai, Bin

“…[Display omitted] •F pollutants are reused in the preparation of F-doped carboncatalysts.•Uniform F doping is achieved by grafting F fragments onto graphite…”
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Multi-Type Attention for Solving Multi-Depot Vehicle Routing Problems by Li, Jinqi, Tian Dai, Bing, Niu, Yunyun, Xiao, Jianhua, Wu, Yaoxin

“…In recent years, there has been a growing trend towards using deep reinforcement learning (DRL) to solve the NP-hard vehicle routing problems (VRPs). While…”
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Mo, N co-doped cobalt hydroxide nanosheets for highly selective methanol-to-formate electrocatalytic conversion by Wu, Yaoxin, Ban, Lili, Wang, Hanzhen, Yang, Qian, Li, Yaao, Lu, Ke, Li, Yuxiang, Cui, Pin, Yang, Jinfeng, Chang, Dalei, Yang, Dezheng, Yu, Feng, Wang, Zongyuan, Dai, Bin

“…[Display omitted] •This work discoveries that plasma can reconstitute ZIF-67 into 2D Co(OH)2 nanosheets.•Mo and N doping of Co(OH)2 is achieved by a one-step…”
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