Zobrazeno 1 - 10
of 1 544
pro vyhledávání: '"Li Jiachen"'
Publikováno v:
Guan'gai paishui xuebao, Vol 42, Iss 9, Pp 79-86 (2023)
【Background】 Microplastic particles are an emerging pollutant found in almost all ecosystems including soils. Its impact on soil function is multifactual, and this paper investigates the change in pore structure of soil contaminated by microplast
Externí odkaz:
https://doaj.org/article/beff397e6d264373aa6c2d3c72bbb59f
Publikováno v:
Cailiao gongcheng, Vol 50, Iss 4, Pp 44-52 (2022)
Two-dimensional layered MoS2 is considered to be a promising electrocatalyst alternative to Pt for water splitting. However, low electronic conductivity and high energy barrier of water adsorption/dissociation of MoS2 during alkaline hydrogen evoluti
Externí odkaz:
https://doaj.org/article/c7272454a6234c0e8bc5b3e0e38362c8
The remarkable success of foundation models has sparked growing interest in their application to single-cell biology. Models like Geneformer and scGPT promise to serve as versatile tools in this specialized field. However, representing a cell as a se
Externí odkaz:
http://arxiv.org/abs/2411.06331
We present an energy-specific Bethe-Salpeter equation (BSE) implementation for efficient core and valence optical spectrum calculations. In energy-specific BSE, high-lying excitation energies are obtained by constructing trial vectors and expanding t
Externí odkaz:
http://arxiv.org/abs/2410.24168
Modeling cellular dynamics from single-cell RNA sequencing (scRNA-seq) data is critical for understanding cell development and underlying gene regulatory relationships. Many current methods rely on single-cell velocity to obtain pseudotime, which can
Externí odkaz:
http://arxiv.org/abs/2410.18394
Autor:
Li, Jiachen, Steinberg, Justin, Li, Xiwen, Choube, Akshat, Yao, Bingsheng, Wang, Dakuo, Mynatt, Elizabeth, Mishra, Varun
Researchers have long recognized the socio-technical gaps in personal tracking research, where machines can never fully model the complexity of human behavior, making it only able to produce basic rule-based outputs or "black-box" results that lack c
Externí odkaz:
http://arxiv.org/abs/2410.14879
Autor:
Li, Jiachen, Long, Qian, Zheng, Jian, Gao, Xiaofeng, Piramuthu, Robinson, Chen, Wenhu, Wang, William Yang
In this paper, we focus on enhancing a diffusion-based text-to-video (T2V) model during the post-training phase by distilling a highly capable consistency model from a pretrained T2V model. Our proposed method, T2V-Turbo-v2, introduces a significant
Externí odkaz:
http://arxiv.org/abs/2410.05677
Autor:
Ghosh, Udita, Raychaudhuri, Dripta S., Li, Jiachen, Karydis, Konstantinos, Roy-Chowdhury, Amit K.
Offline imitation learning enables learning a policy solely from a set of expert demonstrations, without any environment interaction. To alleviate the issue of distribution shift arising due to the small amount of expert data, recent works incorporat
Externí odkaz:
http://arxiv.org/abs/2410.03626
Language models (LMs) possess a strong capability to comprehend natural language, making them effective in translating human instructions into detailed plans for simple robot tasks. Nevertheless, it remains a significant challenge to handle long-hori
Externí odkaz:
http://arxiv.org/abs/2409.20560
Recent studies show that text-to-image (T2I) models are vulnerable to adversarial attacks, especially with noun perturbations in text prompts. In this study, we investigate the impact of adversarial attacks on different POS tags within text prompts o
Externí odkaz:
http://arxiv.org/abs/2409.15381