Zobrazeno 1 - 10
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pro vyhledávání: '"Vu, Hieu"'
Implicit graph neural networks have gained popularity in recent years as they capture long-range dependencies while improving predictive performance in static graphs. Despite the tussle between performance degradation due to the oversmoothing of lear
Externí odkaz:
http://arxiv.org/abs/2406.17894
Autor:
Di Francesco, Philippe, Vu, Hieu Trung
We study the T-system of type $A_\infty$, also known as the octahedron recurrence/equation, viewed as a 2+1-dimensional discrete evolution equation. Generalizing the study of [P. Di Francesco and R. Soto-Garrido. Arctic curves of the octahedron equat
Externí odkaz:
http://arxiv.org/abs/2403.02479
Autor:
Nguyen, Dat, Vu, Hieu M., Le, Cong-Thanh, Le, Bach, Lo, David, Nguyen, ThanhVu, Pasareanu, Corina
We propose GNNInfer, the first automatic property inference technique for GNNs. To tackle the challenge of varying input structures in GNNs, GNNInfer first identifies a set of representative influential structures that contribute significantly toward
Externí odkaz:
http://arxiv.org/abs/2401.03790
Autor:
Nguyen, Bao-Sinh, Le, Dung Tien, Vu, Hieu M., Nguyen, Tuan Anh D., Nguyen, Minh-Tien, Le, Hung
Successful Artificial Intelligence systems often require numerous labeled data to extract information from document images. In this paper, we investigate the problem of improving the performance of Artificial Intelligence systems in understanding doc
Externí odkaz:
http://arxiv.org/abs/2209.12561
Autor:
Vu, Hieu Sy
Doctor of Philosophy
Department of Biology
Ruth Welti
The molecular mechanisms by which plants respond to environmental stresses to sustain growth and yield have great importance to agriculture. Lipid metabolites are a major element of
Department of Biology
Ruth Welti
The molecular mechanisms by which plants respond to environmental stresses to sustain growth and yield have great importance to agriculture. Lipid metabolites are a major element of
Externí odkaz:
http://hdl.handle.net/2097/17278
This paper introduces a new information extraction model for business documents. Different from prior studies which only base on span extraction or sequence labeling, the model takes into account advantage of both span extraction and sequence labelin
Externí odkaz:
http://arxiv.org/abs/2205.13434
Principal component analysis is a simple yet useful dimensionality reduction technique in modern machine learning pipelines. In consequential domains such as college admission, healthcare and credit approval, it is imperative to take into account eme
Externí odkaz:
http://arxiv.org/abs/2202.03071
Publikováno v:
In Biomedical Signal Processing and Control September 2024 95 Part A
Cementless implants have become widely used for total hip replacement surgery. The long-term stability of these implants is achieved by bone growing around and into the porous surface of the implant, a process called osseointegration. However, debond
Externí odkaz:
http://arxiv.org/abs/2112.06793
Autor:
Tran, Diem H., Kim, Dohun, Kesavan, Rushendhiran, Brown, Harrison, Dey, Trishna, Soflaee, Mona Hoseini, Vu, Hieu S., Tasdogan, Alpaslan, Guo, Jason, Bezwada, Divya, Al Saad, Houssam, Cai, Feng, Solmonson, Ashley, Rion, Halie, Chabatya, Rawand, Merchant, Salma, Manales, Nathan J., Tcheuyap, Vanina T., Mulkey, Megan, Mathews, Thomas P., Brugarolas, James, Morrison, Sean J., Zhu, Hao, DeBerardinis, Ralph J., Hoxhaj, Gerta
Publikováno v:
In Cell 11 July 2024 187(14):3602-3618