Heliang Zheng, Jianlong Fu, Zheng-Jun Zha, Jiebo Luo
Learning subtle yet discriminative features (e.g., beak and eyes for a bird) plays a significant role in fine-grained image recognition. Existing attention-based approaches localize and amplify significant parts to learn fine-grained details, which often suffer from a limited number of parts and hea...
Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha et al.
Existing methods for single image super-resolution (SR) are typically evaluated with synthetic degradation models such as bicubic or Gaussian downsampling. In this paper, we investigate SR from the perspective of camera lenses, named as CameraSR, which aims to alleviate the intrinsic tradeoff betwee...
Shuzhen Zhang, Long Xie, Zheng-Jun Shang
BACKGROUND: Oral cancer (OC) is a common tumour that poses a threat to human health and imposes a heavy burden on countries. This study assessed the burden imposed by OC on the 10 most populous countries from 1990 to 2019 on the basis of gender, age and socio-demographic index. METHODS: Data on inci...
Wěi Chén, Huaili Zheng, Jun Zhai, Yili Wang et al.
Zheng‐Jun Quan, Hai‐Dong Xia, Zhang Zhang, Yu‐Xia Da et al.
N ‐Arylation of amides and anilines with aryl iodides was efficiently catalyzed by copper thiophenecarboxylate under ligand‐free conditions with good to excellent yields. A variety of substituted aryl iodides, amides, anilines and 4‐aminoantipyrine were found to be applicable to the simple catalytic...
Xiao Zhang, Tianhang Bai, Ruichu Chen, Sihan Zheng et al.
Zhiwei Li, Yin‐Guang Fan, Hong Su, Zhiwei Xu et al.
INTRODUCTION: Heatwave is a major global health concern. Many countries including China suffered a record-breaking heatwave during the summer of 2022, which may have a significant effect on population health or health information-seeking behaviours but is yet to be examined. METHODS: We derived heal...
Xianyu Song, Zhipeng Du, Belal Ahmed, Yanqiang Li et al.
The confined π-conjugated groups [PO 2 (NH) 3 (CO) 2 ] help to achieve a good balance of SHG, bandgap, and birefringence.
Zhaoxi Li, Rong Guo, Dongdong Chen, Chunlong Fei et al.
In order to effectively and flexibly control acoustic pattern, an efficient optimization design method of acoustic liquid lens (ALL) is developed by the frame of particle swarm optimization (PSO) algorithm. The ALL is composed of ethanol and dimethicone, and its parameters include ethanol concentrat...
Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha et al.
Existing methods for single image super-resolution (SR) are typically evaluated with synthetic degradation models such as bicubic or Gaussian downsampling. In this paper, we investigate SR from the perspective of camera lenses, named as CameraSR, which aims to alleviate the intrinsic tradeoff betwee...
Kecheng Zheng, Wei Wu, Ruili Feng, K. J. Zhu et al.
Prompt tuning and adapter tuning have shown great potential in transferring pre-trained vision-language models (VLMs) to various downstream tasks. In this work, we design a new type of tuning method, termed as regularized mask tuning, which masks the network parameters through a learnable selection....
Ruili Feng, Deli Zhao, Zheng-Jun Zha
Ruili Feng, Zhouchen Lin, Jiapeng Zhu, Deli Zhao et al.
The compelling synthesis results of Generative Adversarial Networks (GANs) demonstrate rich semantic knowledge in their latent codes. To obtain this knowledge for downstream applications, encoding GANs has been proposed to learn encoders, such that real world data can be encoded to latent codes, whi...
Ming‐Xia Liu, Zhang Zhang, Zheng‐Jun Quan, Xi‐Cun Wang
The Pd‐catalyzed cross‐coupling reaction of 1, 2‐di(pyrimidin‐2‐yl) disulfides with heterocyclic amines including 2‐amino pyrimidines and 1,3,4‐thiadiazol‐2‐amines to deliver symmetrical C‐N coupling products in moderate to good yields is reported. This method provides an opportunity for synthesis o...
Yang Zhang, Cong Zheng, Jun Guo, Liang An et al.
To address the problems of traditional acoustic methods relying on personnel experience and machine learning methods requiring large amounts of training data with poor interpretability, this paper proposes a bidirectional constant false alarm rate (Bi-CFAR) detection method based on time–frequency i...