Zobrazeno 1 - 10
of 389
pro vyhledávání: '"Liu Bingyan"'
Autor:
Do, Hue T. B., Zhao, Meng, Li, Pengfei, Soh, Yu Wei, Rangaraj, Jagadesh, Liu, Bingyan, Jiang, Tianyu, Zhang, Xinyue, Lu, Jiong, Song, Peng, Teng, Jinghua, Bosman, Michel
Extreme light confinement down to the atomic scale has been theoretically predicted for ultrathin, Ta-based transition metal dichalcogenides (TMDs). In this work, we demonstrate in free-hanging 2H-TaS2 monolayers and bilayers slow light behaviour wit
Externí odkaz:
http://arxiv.org/abs/2411.07572
In this paper, we propose an information geometry (IG) framework to solve the standard linear regression problem. The proposed framework is an extension of the one for computing the mean of complex multivariate Gaussian distribution. By applying the
Externí odkaz:
http://arxiv.org/abs/2408.06907
In this paper, the interference cancellation information geometry approaches (IC-IGAs) for massive MIMO channel estimation are proposed. The proposed algorithms are low-complexity approximations of the minimum mean square error (MMSE) estimation. To
Externí odkaz:
http://arxiv.org/abs/2406.19583
Deep Text-to-Image Synthesis (TIS) models such as Stable Diffusion have recently gained significant popularity for creative Text-to-image generation. Yet, for domain-specific scenarios, tuning-free Text-guided Image Editing (TIE) is of greater import
Externí odkaz:
http://arxiv.org/abs/2403.03431
Recently, diffusion-based deep generative models (e.g., Stable Diffusion) have shown impressive results in text-to-image synthesis. However, current text-to-image models often require multiple passes of prompt engineering by humans in order to produc
Externí odkaz:
http://arxiv.org/abs/2311.06752
Autor:
Zhang, Ziqi, Gong, Chen, Cai, Yifeng, Yuan, Yuanyuan, Liu, Bingyan, Li, Ding, Guo, Yao, Chen, Xiangqun
On-device ML introduces new security challenges: DNN models become white-box accessible to device users. Based on white-box information, adversaries can conduct effective model stealing (MS) and membership inference attack (MIA). Using Trusted Execut
Externí odkaz:
http://arxiv.org/abs/2310.07152
Autor:
Han Rui, Chen Zhiqiang, Tian Guoyu, Nie Yangbo, Shi Fudong, Zhang Suyalatu, Zhang Xin, Liu Bingyan, Sun Hui
Publikováno v:
EPJ Web of Conferences, Vol 239, p 18009 (2020)
Benchmarking of evaluated neutron nuclear data libraries was performed for ∼14.8 MeV neutrons on the several targets, such as gallium, graphite, silicon carbide, uranium and tungsten samples. The experiments were performed at China Institute of Ato
Externí odkaz:
https://doaj.org/article/1c9d679558c54c038ab4c90975630eb2
Text-to-image synthesis for the Chinese language poses unique challenges due to its large vocabulary size, and intricate character relationships. While existing diffusion models have shown promise in generating images from textual descriptions, they
Externí odkaz:
http://arxiv.org/abs/2309.05534
Federated learning has emerged as an effective paradigm to achieve privacy-preserving collaborative learning among different parties. Compared to traditional centralized learning that requires collecting data from each party, in federated learning, o
Externí odkaz:
http://arxiv.org/abs/2301.01299
Numerical simulation of rock fracture characteristics under combined action of impact and splitting.
Autor:
Liu, Xiaohui1,2 (AUTHOR) chd160039@chd.edu.cn, Liu, Bingyan1,2 (AUTHOR), Feng, Lv1,2 (AUTHOR)
Publikováno v:
Noise & Vibration Worldwide. Oct2024, Vol. 55 Issue 9/10, p538-552. 15p.