Zobrazeno 1 - 10
of 11 893
pro vyhledávání: '"Cheng*, Feng"'
Autor:
Zhang, Tunhou, Cheng, Dehua, He, Yuchen, Chen, Zhengxing, Dai, Xiaoliang, Xiong, Liang, Liu, Yudong, Cheng, Feng, Cao, Yufan, Yan, Feng, Li, Hai, Chen, Yiran, Wen, Wei
Publikováno v:
ACM Transactions on Recommender Systems (TORS) 2024
The increasing popularity of deep learning models has created new opportunities for developing AI-based recommender systems. Designing recommender systems using deep neural networks requires careful architecture design, and further optimization deman
Externí odkaz:
http://arxiv.org/abs/2411.07569
Autor:
Zhang, Junyao, Zhou, Guanglei, Cheng, Feng, Ku, Jonathan, Ding, Qi, Gu, Jiaqi, Wang, Hanrui, Li, Hai "Helen", Chen, Yiran
Noisy Intermediate-Scale Quantum (NISQ) computers are currently limited by their qubit numbers, which hampers progress towards fault-tolerant quantum computing. A major challenge in scaling these systems is crosstalk, which arises from unwanted inter
Externí odkaz:
http://arxiv.org/abs/2411.02447
Autor:
Guo, Cong, Cheng, Feng, Du, Zhixu, Kiessling, James, Ku, Jonathan, Li, Shiyu, Li, Ziru, Ma, Mingyuan, Molom-Ochir, Tergel, Morris, Benjamin, Shan, Haoxuan, Sun, Jingwei, Wang, Yitu, Wei, Chiyue, Wu, Xueying, Wu, Yuhao, Yang, Hao Frank, Zhang, Jingyang, Zhang, Junyao, Zheng, Qilin, Zhou, Guanglei, Hai, Li, Chen, Yiran
The rapid development of large language models (LLMs) has significantly transformed the field of artificial intelligence, demonstrating remarkable capabilities in natural language processing and moving towards multi-modal functionality. These models
Externí odkaz:
http://arxiv.org/abs/2410.07265
Gamma-ray bursts (GRBs) as the most energetic explosions in the modern universe have been studied over half a century, but the physics of the particle acceleration and radiation responsible for their observed spectral behaviors are still not well und
Externí odkaz:
http://arxiv.org/abs/2407.14127
Autor:
Wang, Ziyang, Yu, Shoubin, Stengel-Eskin, Elias, Yoon, Jaehong, Cheng, Feng, Bertasius, Gedas, Bansal, Mohit
Long-form video understanding has been a challenging task due to the high redundancy in video data and the abundance of query-irrelevant information. To tackle this challenge, we propose VideoTree, a training-free framework which builds a query-adapt
Externí odkaz:
http://arxiv.org/abs/2405.19209
The properties of the progenitors of gamma-ray bursts (GRBs) and of their environment are encoded in their luminosity function and cosmic formation rate. They are usually recovered from a flux-limited sample based on Lynden-Bell's $c^{-}$ method. How
Externí odkaz:
http://arxiv.org/abs/2403.09968
We present a parameter-efficient method for continual video question-answering (VidQA) learning. Our method, named DAM, uses the proposed Dynamic Adapter Merging to (i) mitigate catastrophic forgetting, (ii) enable efficient adaptation to continually
Externí odkaz:
http://arxiv.org/abs/2403.08755
Publikováno v:
JMIR Medical Informatics, Vol 8, Iss 6, p e18134 (2020)
BackgroundThe radial artery pulse wave is a widely used physiological signal for disease diagnosis and personal health monitoring because it provides insight into the overall health of the heart and blood vessels. Periodic radial artery pulse signals
Externí odkaz:
https://doaj.org/article/d0284ed41a30436cb64f1e78c385f78f
Autor:
Motlagh, Farzad Nourmohammadzadeh, Hajizadeh, Mehrdad, Majd, Mehryar, Najafi, Pejman, Cheng, Feng, Meinel, Christoph
The rise of Large Language Models (LLMs) has revolutionized our comprehension of intelligence bringing us closer to Artificial Intelligence. Since their introduction, researchers have actively explored the applications of LLMs across diverse fields,
Externí odkaz:
http://arxiv.org/abs/2402.00891