Zobrazeno 1 - 10
of 8 040
pro vyhledávání: '"LIANG, Jie"'
Autor:
Shi, Xihang, Lee, Wen Wei, Karnieli, Aviv, Lohse, Leon Merten, Gorlach, Alexey, Wong, Lee Wei Wesley, Saldit, Tim, Fan, Shanhui, Kaminer, Ido, Wong, Liang Jie
Rapid progress in precision nanofabrication and atomic design over the past 50 years has ushered in a succession of transformative eras for molding the generation and flow of light. The use of nanoscale and atomic features to design light sources and
Externí odkaz:
http://arxiv.org/abs/2411.09019
This paper considers the generalized maximal covering location problem (GMCLP) which establishes a fixed number of facilities to maximize the weighted sum of the covered customers, allowing customers' weights to be positive or negative. The GMCLP can
Externí odkaz:
http://arxiv.org/abs/2409.09834
Autor:
Pramanik, Nikhil, Huang, Sunchao, Duan, Ruihuan, Zhai, Qingwei, Go, Michael, Boothroyd, Chris, Liu, Zheng, Wong, Liang Jie
Water-window X-rays are crucial in medical and biological applications, enabling natural contrast imaging of biological cells in their near-native states without external staining. However, water-window X-ray sources whose output photon energy can be
Externí odkaz:
http://arxiv.org/abs/2408.08509
Generative adversarial networks (GAN) and generative diffusion models (DM) have been widely used in real-world image super-resolution (Real-ISR) to enhance the image perceptual quality. However, these generative models are prone to generating visual
Externí odkaz:
http://arxiv.org/abs/2408.05713
The complexity of state-of-the-art Transformer-based models for skeleton-based action recognition poses significant challenges in terms of computational efficiency and resource utilization. In this paper, we explore the application of Singular Value
Externí odkaz:
http://arxiv.org/abs/2407.14655
Recently learned image compression (LIC) has achieved great progress and even outperformed the traditional approach using DCT or discrete wavelet transform (DWT). However, LIC mainly reduces spatial redundancy in the autoencoder networks and entropy
Externí odkaz:
http://arxiv.org/abs/2407.09983
In silico methods evaluating the mutation effects of missense mutations are providing an important approach for understanding mutations in personal genomes and identifying disease-relevant biomarkers. However, existing methods, including deep learnin
Externí odkaz:
http://arxiv.org/abs/2406.09159
Publikováno v:
Phys. Rev. Lett. 133, 116903 (2024)
We report the experimental emulation of trembling quantum motion, or Zitterbewegung, of exciton polaritons in a perovskite microcavity at room temperature. By introducing liquid crystal molecules into the microcavity, we achieve spinor states with sy
Externí odkaz:
http://arxiv.org/abs/2405.19791
Autor:
Liang, Jie, Timofte, Radu, Yi, Qiaosi, Liu, Shuaizheng, Sun, Lingchen, Wu, Rongyuan, Zhang, Xindong, Zeng, Hui, Zhang, Lei
In this paper, we review the NTIRE 2024 challenge on Restore Any Image Model (RAIM) in the Wild. The RAIM challenge constructed a benchmark for image restoration in the wild, including real-world images with/without reference ground truth in various
Externí odkaz:
http://arxiv.org/abs/2405.09923
Autor:
Jiang, Yu, Liang, Jie, Ma, Fuchen, Chen, Yuanliang, Zhou, Chijin, Shen, Yuheng, Wu, Zhiyong, Fu, Jingzhou, Wang, Mingzhe, Li, ShanShan, Zhang, Quan
Fuzzing, a widely-used technique for bug detection, has seen advancements through Large Language Models (LLMs). Despite their potential, LLMs face specific challenges in fuzzing. In this paper, we identified five major challenges of LLM-assisted fuzz
Externí odkaz:
http://arxiv.org/abs/2404.16297