Zobrazeno 1 - 10
of 49 129
pro vyhledávání: '"Chen, Jie"'
By harnessing the delay-Doppler (DD) resource domain, orthogonal time-frequency space (OTFS) substantially improves the communication performance under high-mobility scenarios by maintaining quasi-time-invariant channel characteristics. However, conv
Externí odkaz:
http://arxiv.org/abs/2409.05724
Deep learning based unmixing methods have received great attention in recent years and achieve remarkable performance. These methods employ a data-driven approach to extract structure features from hyperspectral image, however, they tend to be less p
Externí odkaz:
http://arxiv.org/abs/2409.04719
Data stream clustering reveals patterns within continuously arriving, potentially unbounded data sequences. Numerous data stream algorithms have been proposed to cluster data streams. The existing data stream clustering algorithms still face signific
Externí odkaz:
http://arxiv.org/abs/2409.04698
Self-Consistency (SC) is a widely used method to mitigate hallucinations in Large Language Models (LLMs) by sampling the LLM multiple times and outputting the most frequent solution. Despite its benefits, SC results in significant computational costs
Externí odkaz:
http://arxiv.org/abs/2408.17017
Graph neural networks (GNNs) have excelled in predictive modeling for both crystals and molecules, owing to the expressiveness of graph representations. High-entropy alloys (HEAs), however, lack chemical long-range order, limiting the applicability o
Externí odkaz:
http://arxiv.org/abs/2408.16337
Extracting robust feature representation is critical for object re-identification to accurately identify objects across non-overlapping cameras. Although having a strong representation ability, the Vision Transformer (ViT) tends to overfit on most di
Externí odkaz:
http://arxiv.org/abs/2408.16684
Chain-of-Thought (CoT) prompting enhances Large Language Models (LLMs) complex reasoning abilities by generating intermediate steps. However, these steps can introduce hallucinations and accumulate errors. We propose the CoT Rerailer to address these
Externí odkaz:
http://arxiv.org/abs/2408.13940
Autor:
Sun, Michael, Lo, Alston, Gao, Wenhao, Guo, Minghao, Thost, Veronika, Chen, Jie, Coley, Connor, Matusik, Wojciech
Designing synthetically accessible molecules and recommending analogs to unsynthesizable molecules are important problems for accelerating molecular discovery. We reconceptualize both problems using ideas from program synthesis. Drawing inspiration f
Externí odkaz:
http://arxiv.org/abs/2409.05873
Autor:
Karkaria, Vispi, Chen, Jie, Luey, Christopher, Siuta, Chase, Lim, Damien, Radulescu, Robert, Chen, Wei
We introduce a novel digital twin framework for predictive maintenance of long-term physical systems. Using monitoring tire health as an application, we show how the digital twin framework can be used to enhance automotive safety and efficiency, and
Externí odkaz:
http://arxiv.org/abs/2408.06220
Autor:
Li, Hang, Zhou, Feng, Ding, Bei, Chen, Jie, Song, Linxuan, Yang, Wenyun, Lau, Yong-Chang, Yang, Jinbo, Li, Yue, Jiang, Yong, Wang, Wenhong
Topological magnetic materials are expected to show multiple transport responses because of their unusual bulk electronic topology in momentum space and topological spin texture in real space. However, such multiple topological properties-hosting mat
Externí odkaz:
http://arxiv.org/abs/2408.00363