Zobrazeno 1 - 10
of 2 222
pro vyhledávání: '"Li, Yixuan"'
Training latency is critical for the success of numerous intrigued applications ignited by federated learning (FL) over heterogeneous mobile devices. By revolutionarily overlapping local gradient transmission with continuous local computing, FL can r
Externí odkaz:
http://arxiv.org/abs/2407.00943
Homology theories categorifying quantum group link invariants are known to be governed by the representation theory of quiver Hecke algebras, also called KLRW algebras. Here we show that certain cylindrical KLRW algebras, relevant in particular for c
Externí odkaz:
http://arxiv.org/abs/2406.04258
Autor:
Fei, Ben, Li, Yixuan, Yang, Weidong, Gao, Hengjun, Xu, Jingyi, Ma, Lipeng, Yang, Yatian, Zhou, Pinghong
The development of medical imaging techniques has made a significant contribution to clinical decision-making. However, the existence of suboptimal imaging quality, as indicated by irregular illumination or imbalanced intensity, presents significant
Externí odkaz:
http://arxiv.org/abs/2406.10236
Autor:
Zhu, Hanwei, Wu, Haoning, Li, Yixuan, Zhang, Zicheng, Chen, Baoliang, Zhu, Lingyu, Fang, Yuming, Zhai, Guangtao, Lin, Weisi, Wang, Shiqi
While recent advancements in large multimodal models (LMMs) have significantly improved their abilities in image quality assessment (IQA) relying on absolute quality rating, how to transfer reliable relative quality comparison outputs to continuous p
Externí odkaz:
http://arxiv.org/abs/2405.19298
Detecting data points deviating from the training distribution is pivotal for ensuring reliable machine learning. Extensive research has been dedicated to the challenge, spanning classical anomaly detection techniques to contemporary out-of-distribut
Externí odkaz:
http://arxiv.org/abs/2405.18635
Autor:
Li, Zhimin, Zhang, Jianwei, Lin, Qin, Xiong, Jiangfeng, Long, Yanxin, Deng, Xinchi, Zhang, Yingfang, Liu, Xingchao, Huang, Minbin, Xiao, Zedong, Chen, Dayou, He, Jiajun, Li, Jiahao, Li, Wenyue, Zhang, Chen, Quan, Rongwei, Lu, Jianxiang, Huang, Jiabin, Yuan, Xiaoyan, Zheng, Xiaoxiao, Li, Yixuan, Zhang, Jihong, Zhang, Chao, Chen, Meng, Liu, Jie, Fang, Zheng, Wang, Weiyan, Xue, Jinbao, Tao, Yangyu, Zhu, Jianchen, Liu, Kai, Lin, Sihuan, Sun, Yifu, Li, Yun, Wang, Dongdong, Chen, Mingtao, Hu, Zhichao, Xiao, Xiao, Chen, Yan, Liu, Yuhong, Liu, Wei, Wang, Di, Yang, Yong, Jiang, Jie, Lu, Qinglin
We present Hunyuan-DiT, a text-to-image diffusion transformer with fine-grained understanding of both English and Chinese. To construct Hunyuan-DiT, we carefully design the transformer structure, text encoder, and positional encoding. We also build f
Externí odkaz:
http://arxiv.org/abs/2405.08748
A double self-sustainable reconfigurable intelligent surfaces (RISs) assisted multi-user multiple input multiple output (MIMO) system is investigated. Two RISs are equipped with energy harvesting circuit to achieve self-sustainable transmission. The
Externí odkaz:
http://arxiv.org/abs/2405.03101
Autor:
Choi, Hyeong Kyu, Li, Yixuan
Large Language Models (LLMs) are trained on massive text corpora, which are encoded with diverse personality traits. This triggers an interesting goal of eliciting a desired personality trait from the LLM, and probing its behavioral preferences. Acco
Externí odkaz:
http://arxiv.org/abs/2405.02501
Autor:
Ming, Yifei, Li, Yixuan
Pre-trained contrastive vision-language models have demonstrated remarkable performance across a wide range of tasks. However, they often struggle on fine-trained datasets with categories not adequately represented during pre-training, which makes ad
Externí odkaz:
http://arxiv.org/abs/2405.01468
We address the challenge of content diversity and controllability in pedestrian simulation for driving scenarios. Recent pedestrian animation frameworks have a significant limitation wherein they primarily focus on either following trajectory [46] or
Externí odkaz:
http://arxiv.org/abs/2404.19722