Zobrazeno 1 - 10
of 122
pro vyhledávání: '"Jiang, Yukun"'
Two-party split learning has emerged as a popular paradigm for vertical federated learning. To preserve the privacy of the label owner, split learning utilizes a split model, which only requires the exchange of intermediate representations (IRs) base
Externí odkaz:
http://arxiv.org/abs/2410.09125
Large vision-language models (LVLMs) have been rapidly developed and widely used in various fields, but the (potential) stereotypical bias in the model is largely unexplored. In this study, we present a pioneering measurement framework, $\texttt{ModS
Externí odkaz:
http://arxiv.org/abs/2410.06967
Session-based recommender systems typically focus on using only the triplet (user_id, timestamp, item_id) to make predictions of users' next actions. In this paper, we aim to utilize side information to help recommender systems catch patterns and sig
Externí odkaz:
http://arxiv.org/abs/2406.00615
Publikováno v:
口腔疾病防治, Vol 32, Iss 7, Pp 539-547 (2024)
Graphene family nanomaterials (GFNs) are highly popular in the field of bone tissue engineering because of their excellent mechanical properties, biocompatibility, and ability to promote the osteogenic differentiation of stem cells. GFNs play a multi
Externí odkaz:
https://doaj.org/article/203b9dee15194b9086637e7645a97837
Autor:
Weng, Jiayi, Lin, Min, Huang, Shengyi, Liu, Bo, Makoviichuk, Denys, Makoviychuk, Viktor, Liu, Zichen, Song, Yufan, Luo, Ting, Jiang, Yukun, Xu, Zhongwen, Yan, Shuicheng
There has been significant progress in developing reinforcement learning (RL) training systems. Past works such as IMPALA, Apex, Seed RL, Sample Factory, and others, aim to improve the system's overall throughput. In this paper, we aim to address a c
Externí odkaz:
http://arxiv.org/abs/2206.10558
Autor:
Liu, Mengyang, Gu, Bin, Jiang, Yukun, Xue, Weiyang, Li, Jingmei, Wei, Huangzhao, Sun, Chenglin
Publikováno v:
In Chemical Engineering Journal 1 October 2024 497
Publikováno v:
In Sensors and Actuators: A. Physical 1 October 2024 376
Autor:
Jiang, Yukun, Tang, Ya, Li, Yuxuan, Liu, Lu, Yue, Kairui, Li, Xiaoyang, Qiu, Peiju, Yin, Ruijuan, Jiang, Tao
Publikováno v:
In European Journal of Medicinal Chemistry 5 September 2024 275
Autor:
Zeng, Xinyi, Li, Tiancheng, Yang, Kuan, Jiang, Yukun, Chen, Shuo, Yang, Shuxian, Zou, Shujuan, Liu, Jingping, Duan, Peipei
Publikováno v:
In International Immunopharmacology 15 November 2024 141
Autor:
Jiang, Yukun
Publikováno v:
In proceedings of 3rd International Conference on Natural Language Processing 2021
Active learning is a state-of-art machine learning approach to deal with an abundance of unlabeled data. In the field of Natural Language Processing, typically it is costly and time-consuming to have all the data annotated. This inefficiency inspires
Externí odkaz:
http://arxiv.org/abs/2107.07682