Zobrazeno 1 - 10
of 108
pro vyhledávání: '"Zhang, Youyuan"'
In this paper, we consider the conditional generation problem by guiding off-the-shelf unconditional diffusion models with differentiable loss functions in a plug-and-play fashion. While previous research has primarily focused on balancing the uncond
Externí odkaz:
http://arxiv.org/abs/2411.12773
Autor:
Yuan, Ye, Zhang, Youyuan, Chen, Can, Wu, Haolun, Li, Zixuan, Li, Jianmo, Clark, James J., Liu, Xue
Offline model-based optimization (MBO) aims to maximize a black-box objective function using only an offline dataset of designs and scores. These tasks span various domains, such as robotics, material design, and protein and molecular engineering. A
Externí odkaz:
http://arxiv.org/abs/2405.13964
Diffusion models have demonstrated remarkable capabilities in text-to-image and text-to-video generation, opening up possibilities for video editing based on textual input. However, the computational cost associated with sequential sampling in diffus
Externí odkaz:
http://arxiv.org/abs/2403.06269
On-device Virtual Assistants (VAs) powered by Automatic Speech Recognition (ASR) require effective knowledge integration for the challenging entity-rich query recognition. In this paper, we conduct an empirical study of modeling strategies for server
Externí odkaz:
http://arxiv.org/abs/2311.01398
Autor:
Lei, Zhihong, Pusateri, Ernest, Han, Shiyi, Liu, Leo, Xu, Mingbin, Ng, Tim, Travadi, Ruchir, Zhang, Youyuan, Hannemann, Mirko, Siu, Man-Hung, Huang, Zhen
Recent advances in deep learning and automatic speech recognition have improved the accuracy of end-to-end speech recognition systems, but recognition of personal content such as contact names remains a challenge. In this work, we describe our person
Externí odkaz:
http://arxiv.org/abs/2310.09988
Autor:
Zhang, Youyuan
Developing automatic Math Word Problem (MWP) solvers is a challenging task that demands the ability of understanding and mathematical reasoning over the natural language. Recent neural-based approaches mainly encode the problem text using a language
Externí odkaz:
http://arxiv.org/abs/2302.03145
Image captioning models are usually trained according to human annotated ground-truth captions, which could generate accurate but generic captions. In this paper, we focus on generating distinctive captions that can distinguish the target image from
Externí odkaz:
http://arxiv.org/abs/2208.04254
Autor:
Zhao, Zhanchong, Zeng, Xian, Ma, Xiaolei, Zhang, Youyuan, Ren, Hao, Zhang, Decang, Guo, Yong, Lu, Zongjing, Yan, Qingzhi
Publikováno v:
In Ceramics International 1 October 2024 50(19) Part B:36126-36136
Publikováno v:
In Mechanical Systems and Signal Processing 1 February 2025 224
Autor:
Wang, Xue, Yang, Caijin, Zhang, Youyuan, Xiong, Dayuan, Xu, Shaohui, Wang, Lianwei, Jiang, Lin, Sorokin, Pavel B., Chu, Paul K.
Publikováno v:
In Journal of Alloys and Compounds 15 June 2024 988