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Guiding induction chemotherapy of locoregionally advanced nasopharyngeal carcinoma with ternary classification of predicted individual treatment effect Journal article
Zhiying Liang, Kit Ian Kou, Chao Luo, Shuqi Li, Yuliang Zhu, Wenjie Huang, Di Cao, Yifei Liu, Guangying Ruan, Shaobo Liang, Xi Chen, Guoyi Zhang, Lizhi Liu, Haojiang Li. Guiding induction chemotherapy of locoregionally advanced nasopharyngeal carcinoma with ternary classification of predicted individual treatment effect[J]. Radiotherapy and Oncology, 2024, 201, 110571.
Authors:  Zhiying Liang;  Kit Ian Kou;  Chao Luo;  Shuqi Li;  Yuliang Zhu; et al.
Adobe PDF | Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.9/5.4 | Submit date:2024/10/16
Nasopharyngeal Carcinoma  Induction Chemotherapy  Overall Survival  Treatment Decision-making  Predicted Individual Treatment Effect  
Aspirin reduces Ponatinib-induced cardiovascular toxic phenotypes and death in zebrafish Journal article
Yu, Ruiqi, Ai, Nana, Huang, Chen, Wang, Danni, Bian, Chao, Ge, Wei, Chong, Cheong Meng. Aspirin reduces Ponatinib-induced cardiovascular toxic phenotypes and death in zebrafish[J]. Biomedicine and Pharmacotherapy, 2024, 180, 117503.
Authors:  Yu, Ruiqi;  Ai, Nana;  Huang, Chen;  Wang, Danni;  Bian, Chao; et al.
Favorite | TC[Scopus]:0  IF:6.9/6.8 | Submit date:2024/10/10
Aspirin  Cardiovascular Toxicity  Cox-1  Ponatinib  Thrombosis  Zebrafish  
Parameter estimation for fractional-order nonlinear systems based on improved sparrow search algorithm Journal article
Zhou, Yongqiang, Yang, Renhuan, Chen, Yibin, Huang, Qidong, Shen, Chao, Yang, Xiuzeng, Zhang, Ling, Wei, Mengyu. Parameter estimation for fractional-order nonlinear systems based on improved sparrow search algorithm[J]. International Journal of Modern Physics C, 2024, 35(10), 2450131.
Authors:  Zhou, Yongqiang;  Yang, Renhuan;  Chen, Yibin;  Huang, Qidong;  Shen, Chao; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:1.5/1.2 | Submit date:2024/05/16
Fractional-order Nonlinear Systems  Parameter Estimation  Improved Sparrow Search Algorithm  Swarm Intelligent Optimization Algorithm  
Fundamental Estimation for Tire Road Friction Coefficient: A Model-based Learning Framework Journal article
Wang, Yan, Yin, Guodong, Hang, Peng, Zhao, Jing, Lin, Yilun, Huang, Chao. Fundamental Estimation for Tire Road Friction Coefficient: A Model-based Learning Framework[J]. IEEE Transactions on Vehicular Technology, 2024.
Authors:  Wang, Yan;  Yin, Guodong;  Hang, Peng;  Zhao, Jing;  Lin, Yilun; et al.
Favorite | TC[Scopus]:0  IF:6.1/6.5 | Submit date:2024/11/05
Tire Road Friction Coefficient  Event-triggered Cubature Kalman Filtering  Extended Kalman Neural Network  
SmartEdit: Exploring Complex Instruction-Based Image Editing with Multimodal Large Language Models Conference paper
Huang, Yuzhou, Xie, Liangbin, Wang, Xintao, Yuan, Ziyang, Cun, Xiaodong, Ge, Yixiao, Zhou, Jiantao, Dong, Chao, Huang, Rui, Zhang, Ruimao, Shan, Ying. SmartEdit: Exploring Complex Instruction-Based Image Editing with Multimodal Large Language Models[C]:IEEE Computer Society, 2024, 8362-8371.
Authors:  Huang, Yuzhou;  Xie, Liangbin;  Wang, Xintao;  Yuan, Ziyang;  Cun, Xiaodong; et al.
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Training  Visualization  Computer Vision  Large Language Models  Diffusion Models  Cognition  Pattern Recognition  Instruction-based Image Editing  Multimodal Large Language Models  
Chromosome-level genome assembly of the glass catfish ( Kryptopterus vitreolus) reveals molecular clues to its transparent phenotype Journal article
Bian, Chao, Li, Rui Han, Ruan, Zhi Qiang, Chen, Wei Ting, Huang, Yu, Liu, Li Yue, Zhou, Hong Ling, Chong, Cheong Meng, Mu, Xi Dong, Shi, Qiong. Chromosome-level genome assembly of the glass catfish ( Kryptopterus vitreolus) reveals molecular clues to its transparent phenotype[J]. Zoological research, 2024, 45(5), 1027-1036.
Authors:  Bian, Chao;  Li, Rui Han;  Ruan, Zhi Qiang;  Chen, Wei Ting;  Huang, Yu; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.0/4.5 | Submit date:2024/09/03
Edn3b−/− Mutant  Glass Catfish  Transparent Phenotype  Whole-genome Sequencing  
Uncertainty-aware prototypical learning for anomaly detection in medical images Journal article
Huang, Chao, Shi, Yushu, Zhang, Bob, Lyu, Ke. Uncertainty-aware prototypical learning for anomaly detection in medical images[J]. Neural Networks, 2024, 175, 106284.
Authors:  Huang, Chao;  Shi, Yushu;  Zhang, Bob;  Lyu, Ke
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:6.0/7.9 | Submit date:2024/05/16
Anomalous Object Detection  Medical Image Analysis  Prototypical Learning  
Correction to: Acceleration of radiative recombination for efficient perovskite LEDs (Nature, (2024), 10.1038/s41586-024-07460-7) Other
2024-06-27
Authors:  Li, Mengmeng;  Yang, Yingguo;  Kuang, Zhiyuan;  Hao, Chenjie;  Wang, Saixue; et al.
Favorite | TC[WOS]:1 TC[Scopus]:0 | Submit date:2024/07/04
Acceleration of radiative recombination for efficient perovskite LEDs Journal article
Li, Mengmeng, Yang, Yingguo, Kuang, Zhiyuan, Hao, Chenjie, Wang, Saixue, Lu, Feiyue, Liu, Zhongran, Liu, Jinglong, Zeng, Lingjiao, Cai, Yuxiao, Mao, Yulin, Guo, Jingshu, Tian, He, Xing, Guichuan, Cao, Yu, Ma, Chao, Wang, Nana, Peng, Qiming, Zhu, Lin, Huang, Wei, Wang, Jianpu. Acceleration of radiative recombination for efficient perovskite LEDs[J]. Nature, 2024, 630(8017), 631-635.
Authors:  Li, Mengmeng;  Yang, Yingguo;  Kuang, Zhiyuan;  Hao, Chenjie;  Wang, Saixue; et al.
Favorite | TC[WOS]:26 TC[Scopus]:29  IF:50.5/54.4 | Submit date:2024/07/04
Light-emitting-diodes  Optical-properties  
Decoding the “Fingerprint” of Implant Materials: Insights into the Foreign Body Reaction Journal article
Chen, Yangmengfan, Luo, Zeyu, Meng, Weikun, Liu, Kai, Chen, Qiqing, Cai, Yongrui, Ding, Zichuan, Huang, Chao, Zhou, Zongke, Jiang, Meng, Zhou, Liqiang. Decoding the “Fingerprint” of Implant Materials: Insights into the Foreign Body Reaction[J]. Small, 2024, 20(23).
Authors:  Chen, Yangmengfan;  Luo, Zeyu;  Meng, Weikun;  Liu, Kai;  Chen, Qiqing; et al.
Favorite | TC[WOS]:9 TC[Scopus]:10  IF:13.0/13.5 | Submit date:2024/09/03
biomaterial surface characterization  foreign body reaction  implant  macrophage