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pro vyhledávání: '"Peng, Chong"'
Today, there have been many achievements in learning the association between voice and face. However, most previous work models rely on cosine similarity or L2 distance to evaluate the likeness of voices and faces following contrastive learning, subs
Externí odkaz:
http://arxiv.org/abs/2404.09509
Feed recommendation is currently the mainstream mode for many real-world applications (e.g., TikTok, Dianping), it is usually necessary to model and predict user interests in multiple scenarios (domains) within and even outside the application. Multi
Externí odkaz:
http://arxiv.org/abs/2404.08361
Autor:
Zhang, Mozhi, Huang, Mianqiu, Shi, Rundong, Guo, Linsen, Peng, Chong, Yan, Peng, Zhou, Yaqian, Qiu, Xipeng
Large language models optimized with techniques like RLHF have achieved good alignment in being helpful and harmless. However, post-alignment, these language models often exhibit overconfidence, where the expressed confidence does not accurately cali
Externí odkaz:
http://arxiv.org/abs/2404.02655
Autor:
Peng, Chong
Accurate correlated electronic structure methods involve a significant amount of computations and can be only employed to small molecular systems. For example, the coupled-cluster singles, doubles, and perturbative triples model (CCSD(T)), which is k
Externí odkaz:
http://hdl.handle.net/10919/82971
Autor:
Wei-Li Du, Jian-Qin Liang, Xin-Ting Yang, Cheng-Jun Li, Qing-Feng Wang, Wen-Ge Han, Ye Li, Zhi-Hui Li, Dong-Mei Zhao, Fu-Dong Xu, Yan-Xiao Rong, Xiao-Jing Cui, Hui-Min Li, Feng Wang, Peng-Chong Liu, Dong-Lin Guo, Hai-Bin Wang, Xu-Ya Xing, Jia-Lu Che, Zi-Chen Liu, Na-Na Zhang, Kun Li, Yi Liu, Li Wang, Hai-Bo Wang, Nan-Ying Che
Publikováno v:
Military Medical Research, Vol 11, Iss 1, Pp 1-10 (2024)
Abstract Background The diagnosis of tuberculous pleurisy (TP) presents a significant challenge due to the low bacterial load in pleural effusion (PE) samples. Cell-free Mycobacterium tuberculosis DNA (cf-TB) in PE samples is considered an optimal bi
Externí odkaz:
https://doaj.org/article/7ffd684eac0c4ba9b61f74fb72f9459c
Interpreting critical variables involved in complex biological processes related to survival time can help understand prediction from survival models, evaluate treatment efficacy, and develop new therapies for patients. Currently, the predictive resu
Externí odkaz:
http://arxiv.org/abs/2209.15450
Publikováno v:
AMIA 2022 Annual Symposium (AMIA 2022)
Alzheimer's disease (AD), as a progressive brain disease, affects cognition, memory, and behavior. Similarly, limbic-predominant age-related TDP-43 encephalopathy (LATE) is a recently defined common neurodegenerative disease that mimics the clinical
Externí odkaz:
http://arxiv.org/abs/2209.05438
The disruption of circadian rhythm is a cardinal symptom for Alzheimer's disease (AD) patients. The full circadian rhythm orchestration of gene expression in the human brain and its inherent associations with AD remain largely unknown. We present a n
Externí odkaz:
http://arxiv.org/abs/2208.12811
The existing state-of-the-art (SOTA) video salient object detection (VSOD) models have widely followed short-term methodology, which dynamically determines the balance between spatial and temporal saliency fusion by solely considering the current con
Externí odkaz:
http://arxiv.org/abs/2206.09564
Nonnegative matrix factorization (NMF) has been widely studied in recent years due to its effectiveness in representing nonnegative data with parts-based representations. For NMF, a sparser solution implies better parts-based representation.However,
Externí odkaz:
http://arxiv.org/abs/2204.10647