Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Tu, Dezhan"'
Vision-Language Models (VLMs) have demonstrated impressive performance across a versatile set of tasks. A key challenge in accelerating VLMs is storing and accessing the large Key-Value (KV) cache that encodes long visual contexts, such as images or
Externí odkaz:
http://arxiv.org/abs/2410.23317
Auto-Validate by-History: Auto-Program Data Quality Constraints to Validate Recurring Data Pipelines
Autor:
Tu, Dezhan, He, Yeye, Cui, Weiwei, Ge, Song, Zhang, Haidong, Shi, Han, Zhang, Dongmei, Chaudhuri, Surajit
Data pipelines are widely employed in modern enterprises to power a variety of Machine-Learning (ML) and Business-Intelligence (BI) applications. Crucially, these pipelines are \emph{recurring} (e.g., daily or hourly) in production settings to keep d
Externí odkaz:
http://arxiv.org/abs/2306.02421
3D reconstruction of medical imaging from 2D images has become an increasingly interesting topic with the development of deep learning models in recent years. Previous studies in 3D reconstruction from limited X-ray images mainly rely on learning fro
Externí odkaz:
http://arxiv.org/abs/2303.12123
Autor:
Liang, Yuan, Qiu, Liang, Lu, Tiancheng, Fang, Zhujun, Tu, Dezhan, Yang, Jiawei, Zhao, Tiandong, Shao, Yiting, Wang, Kun, Chen, Xiang 'Anthony', He, Lei
Patient's understanding on forthcoming dental surgeries is required by patient-centered care and helps reduce fear and anxiety. Due to the gap of expertise between patients and dentists, conventional techniques of patient education are usually not ef
Externí odkaz:
http://arxiv.org/abs/2101.00098
Autor:
Tu Dezhan, Guangxin Zhang, Hongjian Zhang, Naifu Zhu, Kexin Wang, Xiang Wen, Dibo Hou, Pingjie Huang
Publikováno v:
Sensors (Basel, Switzerland)
Sensors; Volume 18; Issue 4; Pages: 938
Sensors, Vol 18, Iss 4, p 938 (2018)
Sensors; Volume 18; Issue 4; Pages: 938
Sensors, Vol 18, Iss 4, p 938 (2018)
In water-quality, early warning systems and qualitative detection of contaminants are always challenging. There are a number of parameters that need to be measured which are not entirely linearly related to pollutant concentrations. Besides the compl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::839f85a05a565fceb509952d5be0c111
https://pubmed.ncbi.nlm.nih.gov/29565295
https://pubmed.ncbi.nlm.nih.gov/29565295
Publikováno v:
Water, Vol 9, Iss 10, p 731 (2017)
Water; Volume 9; Issue 10; Pages: 731
Water; Volume 9; Issue 10; Pages: 731
The conventional fixed acoustic sensors leak detection methods have been demonstrated to be very practical for locating leakages in water distribution pipelines. However, these methods demand proper installation of sensors, and therefore cannot be im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a15929d22903e13a8b7358bb20d64b13
https://www.mdpi.com/2073-4441/9/10/731
https://www.mdpi.com/2073-4441/9/10/731
Publikováno v:
Journal of Sensors, Vol 2017 (2017)
Traditionally permanent acoustic sensors leak detection techniques have been proven to be very effective in water distribution pipes. However, these methods need long distance deployment and proper position of sensors and cannot be implemented on und
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdbbe45d966b9f09dfd88a97cb5e318f
https://doaj.org/article/1417f76384c64b6d8e5cc4dcceb30717
https://doaj.org/article/1417f76384c64b6d8e5cc4dcceb30717
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