Zobrazeno 1 - 10
of 509
pro vyhledávání: '"ZHANG Junru"'
Existing domain generalization (DG) methods for cross-person generalization tasks often face challenges in capturing intra- and inter-domain style diversity, resulting in domain gaps with the target domain. In this study, we explore a novel perspecti
Externí odkaz:
http://arxiv.org/abs/2406.04609
While one-dimensional convolutional neural networks (1D-CNNs) have been empirically proven effective in time series classification tasks, we find that there remain undesirable outcomes that could arise in their application, motivating us to further i
Externí odkaz:
http://arxiv.org/abs/2310.05467
Existing multi-agent PPO algorithms lack compatibility with different types of parameter sharing when extending the theoretical guarantee of PPO to cooperative multi-agent reinforcement learning (MARL). In this paper, we propose a novel and versatile
Externí odkaz:
http://arxiv.org/abs/2310.05053
Autor:
Zhang, Junru
Knowledge-guided machine learning enables sensor-based high-performance material characterization that drives accelerated materials discovery and manufacturing. Traditional materials discovery workflows are driven by low-throughput characterization p
Externí odkaz:
https://hdl.handle.net/10919/123713
Publikováno v:
Asian Journal of Social Science Research, Vol 6, Iss 1, Pp 48-58 (2024)
The evaluation of the impact of labor education has emerged as a key area for educational reform, which has improved the evaluation standards and frameworks for labor education and curriculum implementation. However, there are still issues with the c
Externí odkaz:
https://doaj.org/article/7d599eb1e3f64561838e0c7b80e513a3
Publikováno v:
In Trees, Forests and People December 2024 18
Publikováno v:
In Science of the Total Environment 1 December 2024 954
Publikováno v:
In Tunnelling and Underground Space Technology incorporating Trenchless Technology Research February 2025 156
Publikováno v:
In Neurocomputing 21 January 2025 614
Autor:
Zhai, Zhenghao, Zhou, Yang, Sarkar, Ishani, Liu, Yang, Yao, Yimin, Zhang, Junru, Bortner, Michael J., Matson, John B., Johnson, Blake N., Edgar, Kevin J.
Publikováno v:
In Carbohydrate Polymers 15 August 2024 338