Zobrazeno 1 - 10
of 469
pro vyhledávání: '"Huang, Yuyang"'
We propose a variant of consensus-based optimization (CBO) algorithms, controlled-CBO, which introduces a feedback control term to improve convergence towards global minimizers of non-convex functions in multiple dimensions. The feedback law is a gra
Externí odkaz:
http://arxiv.org/abs/2411.03051
Following the rapid progress in natural language processing (NLP) models, language models are applied to increasingly more complex interactive tasks such as negotiations and conversation moderations. Having human evaluators directly interact with the
Externí odkaz:
http://arxiv.org/abs/2407.17770
A novel multiscale consensus-based optimization (CBO) algorithm for solving bi- and tri-level optimization problems is introduced. Existing CBO techniques are generalized by the proposed method through the employment of multiple interacting populatio
Externí odkaz:
http://arxiv.org/abs/2407.09257
Feedback control synthesis for large-scale particle systems is reviewed in the framework of model predictive control (MPC). The high-dimensional character of collective dynamics hampers the performance of traditional MPC algorithms based on fast onli
Externí odkaz:
http://arxiv.org/abs/2402.15611
Autor:
Chen, Yabo, Fang, Jiemin, Huang, Yuyang, Yi, Taoran, Zhang, Xiaopeng, Xie, Lingxi, Wang, Xinggang, Dai, Wenrui, Xiong, Hongkai, Tian, Qi
Synthesizing multi-view 3D from one single image is a significant but challenging task. Zero-1-to-3 methods have achieved great success by lifting a 2D latent diffusion model to the 3D scope. The target view image is generated with a single-view sour
Externí odkaz:
http://arxiv.org/abs/2312.04424
Autor:
Cho, Hyundong, Liu, Shuai, Shi, Taiwei, Jain, Darpan, Rizk, Basem, Huang, Yuyang, Lu, Zixun, Wen, Nuan, Gratch, Jonathan, Ferrara, Emilio, May, Jonathan
Conversational moderation of online communities is crucial to maintaining civility for a constructive environment, but it is challenging to scale and harmful to moderators. The inclusion of sophisticated natural language generation modules as a force
Externí odkaz:
http://arxiv.org/abs/2311.10781
Autor:
Liu, Yuhan, Li, Hanchen, Cheng, Yihua, Ray, Siddhant, Huang, Yuyang, Zhang, Qizheng, Du, Kuntai, Yao, Jiayi, Lu, Shan, Ananthanarayanan, Ganesh, Maire, Michael, Hoffmann, Henry, Holtzman, Ari, Jiang, Junchen
As large language models (LLMs) take on complex tasks, their inputs are supplemented with longer contexts that incorporate domain knowledge. Yet using long contexts is challenging, as nothing can be generated until the whole context is processed by t
Externí odkaz:
http://arxiv.org/abs/2310.07240
Autor:
Du, Kuntai, Liu, Yuhan, Hao, Yitian, Zhang, Qizheng, Wang, Haodong, Huang, Yuyang, Ananthanarayanan, Ganesh, Jiang, Junchen
Deep learning inference on streaming media data, such as object detection in video or LiDAR feeds and text extraction from audio waves, is now ubiquitous. To achieve high inference accuracy, these applications typically require significant network ba
Externí odkaz:
http://arxiv.org/abs/2310.02422
Publikováno v:
Shipin Kexue, Vol 45, Iss 11, Pp 333-342 (2024)
Emulsion gels, a complex colloid system in which the emulsion and the gel coexist with a unique three-dimensional network structure, are widely used in the pharmaceutical, cosmetic and food industries. As a high-molecular-mass protein, soybean protei
Externí odkaz:
https://doaj.org/article/5599ff6fac2b4e1193f778d788ddeb32
The cold-start problem is a long-standing challenge in recommender systems due to the lack of user-item interactions, which significantly hurts the recommendation effect over new users and items. Recently, meta-learning based methods attempt to learn
Externí odkaz:
http://arxiv.org/abs/2208.05716