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First Insight into Fetal Exposure to Legacy and Emerging Plasticizers Revealed by Infant Hair and Meconium: Occurrence, Biotransformation, and Accumulation Journal article
Cai, Feng Shan, Tang, Bin, Zheng, Jing, Yan, Xiao, Ding, Xiao Fan, Liao, Qi Long, Luo, Xiao Jun, Ren, Ming Zhong, Yu, Yun Jiang, Mai, Bi Xian. First Insight into Fetal Exposure to Legacy and Emerging Plasticizers Revealed by Infant Hair and Meconium: Occurrence, Biotransformation, and Accumulation[J]. ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2024, 58(13), 5739-5749.
Authors:  Cai, Feng Shan;  Tang, Bin;  Zheng, Jing;  Yan, Xiao;  Ding, Xiao Fan; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:10.8/11.6 | Submit date：2024/05/02
Infant Hair  Meconium  Fetal Exposure  Plasticizers  Biotransformation  
Elucidating the Volcanic-Type Catalytic Behavior in Lithium-Sulfur Batteries via Defect Engineering Journal article
Guo, Yan, Li, Jing, Yuan, Gaoqian, Guo, Junpo, Zheng, Yun, Huang, Yike, Zhang, Qi, Li, Jielei, Shen, Jingjun, Shu, Chenhao, Xu, Jincheng, Tang, Yuxin, Lei, Wen, Shao, Huaiyu. Elucidating the Volcanic-Type Catalytic Behavior in Lithium-Sulfur Batteries via Defect Engineering[J]. ACS Nano, 2023, 17(18), 18253-18265.
Authors:  Guo, Yan;  Li, Jing;  Yuan, Gaoqian;  Guo, Junpo;  Zheng, Yun; et al.
Favorite | TC[WOS]:25 TC[Scopus]:26  IF:15.8/16.2 | Submit date：2024/01/10
Catalytic Conversion  Defect Engineering  Lithium−sulfur Batteries  Performance Modulation  Volcano Relationship  
Distribution preserving-based deep semi-NMF for data representation Journal article
Anyong Qin, Zhuolin Tan, Xingli Tan, Yongji Wu, Cheng Jing, Yuan Yan Tang. Distribution preserving-based deep semi-NMF for data representation[J]. NEUROCOMPUTING, 2023, 524, 69-83.
Authors:  Anyong Qin;  Zhuolin Tan;  Xingli Tan;  Yongji Wu;  Cheng Jing; et al.
Favorite | TC[WOS]:2 TC[Scopus]:3  IF:5.5/5.5 | Submit date：2023/04/03
Clustering  Deep Semi-nmf  Distribution Preserving  Manifold Structure  Projected Barzilai-borwein Method  
Experimental study on additive manufactured 304L stainless steel tubular sections: Material properties and cross-sectional behavior Journal article
Ran Feng, Jing-Pu Tang, Wai-Meng Quach, Ming Yan, Jing Zhao. Experimental study on additive manufactured 304L stainless steel tubular sections: Material properties and cross-sectional behavior[J]. ENGINEERING STRUCTURES, 2022, 273, 115093.
Authors:  Ran Feng;  Jing-Pu Tang;  Wai-Meng Quach;  Ming Yan;  Jing Zhao
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:3.7/4.0 | Submit date：2023/01/30
Additive Manufacturing (Am)  Selective Laser Melting (Slm)  304l Stainless Steel  Stub Column  Tubular Section  
Garbage Classification Detection Model Based on YOLOv4 with Lightweight Neural Network Feature Fusion Conference paper
Xiao-Feng Wang, Jian-Tao Wang, Li-Xiang Xu, Ming Tan, Jing Yang, Yuan-yan Tang. Garbage Classification Detection Model Based on YOLOv4 with Lightweight Neural Network Feature Fusion[C], 2022, 435-447.
Authors:  Xiao-Feng Wang;  Jian-Tao Wang;  Li-Xiang Xu;  Ming Tan;  Jing Yang; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1 | Submit date：2023/01/30
Yolov4-lff  Lightweight Neural Networks  Garbage Classification Detection  Feature Fusion  Deep Learning  
Deep residual contextual and subpixel convolution network for automated neuronal structure segmentation in micro-connectomics Journal article
Xiao, Chi, Hong, Bei, Liu, Jing, Tang, Yuanyan, Xie, Qiwei, Han, Hua. Deep residual contextual and subpixel convolution network for automated neuronal structure segmentation in micro-connectomics[J]. Computer Methods and Programs in Biomedicine, 2022, 219, 106759.
Authors:  Xiao, Chi;  Hong, Bei;  Liu, Jing;  Tang, Yuanyan;  Xie, Qiwei; et al.
Favorite | TC[WOS]:4 TC[Scopus]:5  IF:4.9/5.5 | Submit date：2022/05/13
Deep Learning  Neuronal Structure Segmentation  Subpixel Convolution  Electron Microscopy  Micro-connectomics  
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results Conference paper
Li, Yawei, Zhang, Kai, Timofte, Radu, Van Gool, Luc, Kong, Fangyuan, Li, Mingxi, Liu, Songwei, Du, Zongcai, Liu, Ding, Zhou, Chenhui, Chen, Jingyi, Han, Qingrui, Li, Zheyuan, Liu, Yingqi, Chen, Xiangyu, Cai, Haoming, Qiao, Yu, Dong, Chao, Sun, Long, Pan, Jinshan, Zhu, Yi, Zong, Zhikai, Liu, Xiaoxiao, Hui, Zheng, Yang, Tao, Ren, Peiran, Xie, Xuansong, Hua, Xian Sheng, Wang, Yanbo, Ji, Xiaozhong, Lin, Chuming, Luo, Donghao, Tai, Ying, Wang, Chengjie, Zhang, Zhizhong, Xie, Yuan, Cheng, Shen, Luo, Ziwei, Yu, Lei, Wen, Zhihong, Wul, Qi, Li, Youwei, Fan, Haoqiang, Sun, Jian, Liu, Shuaicheng, Huang, Yuanfei, Jin, Meiguang, Huang, Hua, Liu, Jing, Zhang, Xinjian, Wang, Yan, Long, Lingshun, Kong, Lingshun, Li, Gen, Zhang, Yuanfan, Cao, Zuowei, Sun, Lei, Alexander, Panaetov, Wang, Yucong, Zhang, Shuhao, Zhang, Yuhao, Cai, Minjie, Wang, Li, Tian, Lu, Wang, Zheyuan, Ma, Hongbing, Liu, Jie, Chen, Chao, Cai, Yidong, Tang, Jie, Wu, Gangshan, Wang, Weiran, Huang, Shirui, Lu, Honglei, Liu, Huan, Wang, Keyan, Chen, Jun, Chen, Shi, Miao, Yuchun, Huang, Zimo, Zhang, Lefei, Ayazoglu, Mustafa, Xiong, Wei, Xiong, Chengyi, Wang, Fei, Li, Hao, Wen, Ruimian, Yang, Zhijing, Zou, Wenbin, Zheng, Weixin, Ye, Tian, Zhang, Yuncheng, Kong, Xiangzhen, Arora, Aditya, Zamir, Syed Waqas, Khan, Salman, Hayat, Munawar, Khan, Fahad Shahbaz, Gao, Dandan, Zhou, Dengwen, Ning, Qian, Tang, Jingzhu, Huang, Han, Wang, Yufei, Peng, Zhangheng, Li, Haobo, Guan, Wenxue, Gong, Shenghua, Li, Xin, Liu, Jun, Wang, Wanjun, Zhou, Dengwen, Zeng, Kun, Lin, Hanjiang, Chen, Xinyu, Fang, Jinsheng, Sinha, Abhishek Kumar, Moorthi, S. Manthira, Dhar, Debajyoti, Yang, Hao Hsiang, Huang, Zhi Kai, Chen, Wei Ting, Chang, Hua En, Kuo, Sy Yen, Tan, Wei, Chen, Hao, Narang, Pratik, Yinghua, Liu, Tianlin, Zhang, Xiaoming, Zhang, Meng, Dingxuan, Tian, Chunwei, Morshed, Mashrur M., Ahsan, Ahmad Omar. NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results[C], 2022, 1061-1101.
Authors:  Li, Yawei;  Zhang, Kai;  Timofte, Radu;  Van Gool, Luc;  Kong, Fangyuan; et al.
Favorite | TC[WOS]:22 TC[Scopus]:73 | Submit date：2023/01/30
Measurement  Runtime  Convolution  Conferences  Superresolution  Memory Management  Graphics Processing Units  
Ferulic Acid Exerts Neuroprotective Effects via Autophagy Induction in C. elegans and Cellular Models of Parkinson’s Disease Journal article
Long, Tao, Wu, Qian, Wei, Jing, Tang, Yong, He, Yan Ni, He, Chang Long, Chen, Xue, Yu, Lu, Yu, Chong Lin, Law, Betty Yuen Kwan, Wu, Jian Ming, Qin, Da Lian, Wu, An Guo, Zhou, Xiao Gang. Ferulic Acid Exerts Neuroprotective Effects via Autophagy Induction in C. elegans and Cellular Models of Parkinson’s Disease[J]. Oxidative Medicine and Cellular Longevity, 2022, 2022.
Authors:  Long, Tao;  Wu, Qian;  Wei, Jing;  Tang, Yong;  He, Yan Ni; et al.
Favorite | TC[WOS]:32 TC[Scopus]:33  IF:7.310/8.427 | Submit date：2023/01/30
An effective AI integrated system for neuron tracing on anisotropic electron microscopy volume Journal article
Liu, Jing, Hong, Bei, Chen, Xi, Xie, Qiwei, Tang, Yuanyan, Han, Hua. An effective AI integrated system for neuron tracing on anisotropic electron microscopy volume[J]. Biomedical Signal Processing and Control, 2021, 69.
Authors:  Liu, Jing;  Hong, Bei;  Chen, Xi;  Xie, Qiwei;  Tang, Yuanyan; et al.
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:4.9/4.9 | Submit date：2021/12/08
Convolutional Lstm  Deep Learning  Electron Microscopy  Neuron Tracing  
Tribulus terrestris L. Extract Protects against Lipopolysaccharide-Induced Inflammation in RAW 264.7 Macrophage and Zebrafish via Inhibition of Akt/MAPKs and NF-B/iNOS-NO Signaling Pathways Journal article
Zhao, Wai Rong, Shi, Wen Ting, Zhang, Jing, Zhang, Kai Yu, Qing, Ye, Tang, Jing Yi, Chen, Xin Lin, Zhou, Zhong Yan. Tribulus terrestris L. Extract Protects against Lipopolysaccharide-Induced Inflammation in RAW 264.7 Macrophage and Zebrafish via Inhibition of Akt/MAPKs and NF-B/iNOS-NO Signaling Pathways[J]. Evidence-based Complementary and Alternative Medicine, 2021, 2021, 6628561.
Authors:  Zhao, Wai Rong;  Shi, Wen Ting;  Zhang, Jing;  Zhang, Kai Yu;  Qing, Ye; et al.
Favorite | TC[WOS]:11 TC[Scopus]:14  IF:2.650/3.014 | Submit date：2022/05/13