Zobrazeno 1 - 10
of 510
pro vyhledávání: '"Chen, Yurong"'
Recent research on fine-tuning large language models (LLMs) through the aggregation of multiple preferences has attracted considerable attention. However, the existing literature predominantly focuses on the empirical performance of aggregation algor
Externí odkaz:
http://arxiv.org/abs/2405.16276
This paper considers the hidden-action model of the principal-agent problem, in which a principal incentivizes an agent to work on a project using a contract. We investigate whether contracts with bounded payments are learnable and approximately opti
Externí odkaz:
http://arxiv.org/abs/2402.14486
This paper presents Ske2Grid, a new representation learning framework for improved skeleton-based action recognition. In Ske2Grid, we define a regular convolution operation upon a novel grid representation of human skeleton, which is a compact image-
Externí odkaz:
http://arxiv.org/abs/2308.07571
Autor:
Xu, Shaocong, Chen, Xiaoxue, Zheng, Yuhang, Zhou, Guyue, Chen, Yurong, Zha, Hongbin, Zhao, Hao
In this study, we tackle the challenging fine-grained edge detection task, which refers to predicting specific edges caused by reflectance, illumination, normal, and depth changes, respectively. Prior methods exploit multi-scale convolutional network
Externí odkaz:
http://arxiv.org/abs/2308.03092
Autor:
Chen, Yurong, Wang, Qian, Duan, Zhijian, Sun, Haoran, Chen, Zhaohua, Yan, Xiang, Deng, Xiaotie
In online ad markets, a rising number of advertisers are employing bidding agencies to participate in ad auctions. These agencies are specialized in designing online algorithms and bidding on behalf of their clients. Typically, an agency usually has
Externí odkaz:
http://arxiv.org/abs/2306.07709
Automated auction design aims to find empirically high-revenue mechanisms through machine learning. Existing works on multi item auction scenarios can be roughly divided into RegretNet-like and affine maximizer auctions (AMAs) approaches. However, th
Externí odkaz:
http://arxiv.org/abs/2305.12162
With the development of high-definition display devices, the practical scenario of Super-Resolution (SR) usually needs to super-resolve large input like 2K to higher resolution (4K/8K). To reduce the computational and memory cost, current methods fir
Externí odkaz:
http://arxiv.org/abs/2304.06454
It is shown in recent studies that in a Stackelberg game the follower can manipulate the leader by deviating from their true best-response behavior. Such manipulations are computationally tractable and can be highly beneficial for the follower. Meanw
Externí odkaz:
http://arxiv.org/abs/2302.11829
Autor:
Gao, Huan-ang, Tian, Beiwen, Li, Pengfei, Chen, Xiaoxue, Zhao, Hao, Zhou, Guyue, Chen, Yurong, Zha, Hongbin
Room layout estimation is a long-existing robotic vision task that benefits both environment sensing and motion planning. However, layout estimation using point clouds (PCs) still suffers from data scarcity due to annotation difficulty. As such, we a
Externí odkaz:
http://arxiv.org/abs/2301.13865
Autor:
Li, Xiaoqi, Liu, Jiaming, Wang, Shizun, Lyu, Cheng, Lu, Ming, Chen, Yurong, Yao, Anbang, Guo, Yandong, Zhang, Shanghang
Recently, Deep Neural Networks (DNNs) are utilized to reduce the bandwidth and improve the quality of Internet video delivery. Existing methods train corresponding content-aware super-resolution (SR) model for each video chunk on the server, and stre
Externí odkaz:
http://arxiv.org/abs/2207.09691