Zobrazeno 1 - 10
of 3 386
pro vyhledávání: '"YE, PENG"'
Autor:
He, Haonan, Ren, Yuchen, Tang, Yining, Xu, Ziyang, Li, Junxian, Yang, Minghao, Zhang, Di, Yuan, Dong, Chen, Tao, Zhang, Shufei, Li, Yuqiang, Dong, Nanqing, Ouyang, Wanli, Zhou, Dongzhan, Ye, Peng
Large language models have already demonstrated their formidable capabilities in general domains, ushering in a revolutionary transformation. However, exploring and exploiting the extensive knowledge of these models to comprehend multi-omics biology
Externí odkaz:
http://arxiv.org/abs/2412.19191
Autor:
Qiao, Lifeng, Ye, Peng, Ren, Yuchen, Bai, Weiqiang, Liang, Chaoqi, Ma, Xinzhu, Dong, Nanqing, Ouyang, Wanli
Foundation models have made significant strides in understanding the genomic language of DNA sequences. However, previous models typically adopt the tokenization methods designed for natural language, which are unsuitable for DNA sequences due to the
Externí odkaz:
http://arxiv.org/abs/2412.13716
Autor:
Ren, Yuchen, Han, Wenwei, Zhang, Qianyuan, Tang, Yining, Bai, Weiqiang, Cai, Yuchen, Qiao, Lifeng, Jiang, Hao, Yuan, Dong, Chen, Tao, Sun, Siqi, Tan, Pan, Ouyang, Wanli, Dong, Nanqing, Ma, Xinzhu, Ye, Peng
As key elements within the central dogma, DNA, RNA, and proteins play crucial roles in maintaining life by guaranteeing accurate genetic expression and implementation. Although research on these molecules has profoundly impacted fields like medicine,
Externí odkaz:
http://arxiv.org/abs/2412.10347
Fractonic many-body systems are characterized by mobility restrictions on single-particle hopping due to the conservation of higher moments (e.g., dipoles, angular momenta, and quadrupoles). This conservation allows the definition of new symmetries a
Externí odkaz:
http://arxiv.org/abs/2412.10280
Autor:
Zhou, Jingyi, Zhang, Haoyu, Yuan, Jiakang, Ye, Peng, Chen, Tao, Jiang, Hao, Chen, Meiya, Zhang, Yangyang
As a fundamental vision task, stereo matching has made remarkable progress. While recent iterative optimization-based methods have achieved promising performance, their feature extraction capabilities still have room for improvement. Inspired by the
Externí odkaz:
http://arxiv.org/abs/2412.09912
Autor:
Zhang, Di, Li, Junxian, Lei, Jingdi, Wang, Xunzhi, Liu, Yujie, Yang, Zonglin, Li, Jiatong, Wang, Weida, Yang, Suorong, Wu, Jianbo, Ye, Peng, Ouyang, Wanli, Zhou, Dongzhan
Vision-language models (VLMs) have shown remarkable advancements in multimodal reasoning tasks. However, they still often generate inaccurate or irrelevant responses due to issues like hallucinated image understandings or unrefined reasoning paths. T
Externí odkaz:
http://arxiv.org/abs/2411.18203
As an effective approach to equip models with multi-task capabilities without additional training, model merging has garnered significant attention. However, existing methods face challenges of redundant parameter conflicts and the excessive storage
Externí odkaz:
http://arxiv.org/abs/2412.00054
Automatic modulation classification (AMC) has emerged as a key technique in cognitive radio networks in sixth-generation (6G) communications. AMC enables effective data transmission without requiring prior knowledge of modulation schemes. However, th
Externí odkaz:
http://arxiv.org/abs/2411.08376
Differential privacy (DP) is a formal notion that restricts the privacy leakage of an algorithm when running on sensitive data, in which privacy-utility trade-off is one of the central problems in private data analysis. In this work, we investigate t
Externí odkaz:
http://arxiv.org/abs/2411.05483
Large-scale datasets have been pivotal to the advancements of deep learning models in recent years, but training on such large datasets invariably incurs substantial storage and computational overhead. Meanwhile, real-world datasets often contain red
Externí odkaz:
http://arxiv.org/abs/2410.11215