Zobrazeno 1 - 10
of 4 766
pro vyhledávání: '"CHENG, Gong"'
The disperse structure distributions (discreteness) and variant scattering characteristics (variability) of SAR airplane targets lead to special challenges of object detection and recognition. The current deep learning-based detectors encounter chall
Externí odkaz:
http://arxiv.org/abs/2411.12301
SAR image simulation has attracted much attention due to its great potential to supplement the scarce training data for deep learning algorithms. Consequently, evaluating the quality of the simulated SAR image is crucial for practical applications. T
Externí odkaz:
http://arxiv.org/abs/2407.19436
Autor:
Zhang, Zhiyang, Yang, Fangkai, Qin, Xiaoting, Zhang, Jue, Lin, Qingwei, Cheng, Gong, Zhang, Dongmei, Rajmohan, Saravan, Zhang, Qi
The Vision of Autonomic Computing (ACV), proposed over two decades ago, envisions computing systems that self-manage akin to biological organisms, adapting seamlessly to changing environments. Despite decades of research, achieving ACV remains challe
Externí odkaz:
http://arxiv.org/abs/2407.14402
Lifelong Person Re-Identification (LReID) extends traditional ReID by requiring systems to continually learn from non-overlapping datasets across different times and locations, adapting to new identities while preserving knowledge of previous ones. E
Externí odkaz:
http://arxiv.org/abs/2405.19005
Reasoning capabilities are crucial for Large Language Models (LLMs), yet a notable gap exists between English and non-English languages. To bridge this disparity, some works fine-tune LLMs to relearn reasoning capabilities in non-English languages, w
Externí odkaz:
http://arxiv.org/abs/2405.17386
Key Point Analysis (KPA), the summarization of multiple arguments into a concise collection of key points, continues to be a significant and unresolved issue within the field of argument mining. Existing models adapt a two-stage pipeline of clusterin
Externí odkaz:
http://arxiv.org/abs/2404.11384
Autor:
Cao, ChunJun, Cheng, Gong, Hamma, Alioscia, Leone, Lorenzo, Munizzi, William, Oliviero, Savatore F. E.
We study the interplay between magic and entanglement in quantum many-body systems. We show that non-local magic, which is supported by the quantum correlations is lower bounded by the non-flatness of entanglement spectrum and upper bounded by the am
Externí odkaz:
http://arxiv.org/abs/2403.07056
Combining semantic information with behavioral data is a crucial research area in recommender systems. A promising approach involves leveraging external knowledge to enrich behavioral-based recommender systems with abundant semantic information. Howe
Externí odkaz:
http://arxiv.org/abs/2403.06642
The application of formulas is a fundamental ability of humans when addressing numerical reasoning problems. However, existing numerical reasoning datasets seldom indicate explicitly the formulas employed during the reasoning steps. To bridge this ga
Externí odkaz:
http://arxiv.org/abs/2402.12692
Autor:
Wang, Xiaxia, Cheng, Gong
With the continuous growth of large Knowledge Graphs (KGs), extractive KG summarization becomes a trending task. Aiming at distilling a compact subgraph with condensed information, it facilitates various downstream KG-based tasks. In this survey pape
Externí odkaz:
http://arxiv.org/abs/2402.12001