Zobrazeno 1 - 10
of 8 313
pro vyhledávání: '"Tang, Hao"'
Autor:
Tang, Hao
Ammonia has shown great potential as a carbon-free fuel, in particular for marine transportation and energy production. Its low laminar flame speed, and the tradeoff between ammonia slip and NOx emission, pose challenges for industrial applications,
Externí odkaz:
http://hdl.handle.net/10754/686400
Autor:
Shang, Xiao-Wen, Chen, Xuan, Hegade, Narendra N., Lan, Ze-Feng, Li, Xuan-Kun, Tang, Hao, Peng, Yu-Quan, Solano, Enrique, Jin, Xian-Min
Codesign, an integral part of computer architecture referring to the information interaction in hardware-software stack, is able to boost the algorithm mapping and execution in the computer hardware. This well applies to the noisy intermediate-scale
Externí odkaz:
http://arxiv.org/abs/2409.17930
In quantum mechanics, a long-standing question remains: How does a single photon traverse double slits? One intuitive picture suggests that the photon passes through only one slit, while its wavefunction splits into an ``empty" wave and a ``full" wav
Externí odkaz:
http://arxiv.org/abs/2409.13383
Autor:
Yang, Gene-Ping, Tang, Hao
Despite the recent advance in self-supervised representations, unsupervised phonetic segmentation remains challenging. Most approaches focus on improving phonetic representations with self-supervised learning, with the hope that the improvement can t
Externí odkaz:
http://arxiv.org/abs/2409.09646
Autor:
Yeh, Sung-Lin, Tang, Hao
Representing speech with discrete units has been widely used in speech codec and speech generation. However, there are several unverified claims about self-supervised discrete units, such as disentangling phonetic and speaker information with k-means
Externí odkaz:
http://arxiv.org/abs/2409.06109
There have been many studies on analyzing self-supervised speech Transformers, in particular, with layer-wise analysis. It is, however, desirable to have an approach that can pinpoint exactly a subset of neurons that is responsible for a particular p
Externí odkaz:
http://arxiv.org/abs/2409.05910
Autor:
Lu, Zhenyu, Tang, Hao
Data-Free Class Incremental Learning (DFCIL) aims to enable models to continuously learn new classes while retraining knowledge of old classes, even when the training data for old classes is unavailable. Although explored primarily with image dataset
Externí odkaz:
http://arxiv.org/abs/2408.12629
Recent advances in text-guided 3D avatar generation have made substantial progress by distilling knowledge from diffusion models. Despite the plausible generated appearance, existing methods cannot achieve fine-grained disentanglement or high-fidelit
Externí odkaz:
http://arxiv.org/abs/2408.09126
Recovering camera poses from a set of images is a foundational task in 3D computer vision, which powers key applications such as 3D scene/object reconstructions. Classic methods often depend on feature correspondence, such as keypoints, which require
Externí odkaz:
http://arxiv.org/abs/2408.09042
Conventionally, atomic vapor is perceived as a non-living system governed by the principles of thermodynamics and statistical physics. However, the demarcation line between life and non-life appears to be less distinct than previously thought. In a s
Externí odkaz:
http://arxiv.org/abs/2408.04950