Zobrazeno 1 - 10
of 2 508
pro vyhledávání: '"Chen, JianFeng"'
Autor:
Bytedance-Seed-Foundation-Code-Team, Cheng, Yao, Chen, Jianfeng, Chen, Jie, Chen, Li, Chen, Liyu, Chen, Wentao, Chen, Zhengyu, Geng, Shijie, Li, Aoyan, Li, Bo, Li, Bowen, Li, Linyi, Liu, Boyi, Liu, Jerry, Liu, Kaibo, Liu, Qi, Liu, Shukai, Liu, Siyao, Liu, Tianyi, Liu, Tingkai, Liu, Yongfei, Long, Rui, Mai, Jing, Ning, Guanghan, Peng, Z. Y., Shen, Kai, Su, Jiahao, Su, Jing, Sun, Tao, Sun, Yifan, Tao, Yunzhe, Wang, Guoyin, Wang, Siwei, Wang, Xuwu, Wang, Yite, Wang, Zihan, Xia, Jinxiang, Xiang, Liang, Xiao, Xia, Xiao, Yongsheng, Xi, Chenguang, Xin, Shulin, Xu, Jingjing, Xu, Shikun, Yang, Hongxia, Yang, Jack, Yang, Yingxiang, Yuan, Jianbo, Zhang, Jun, Zhang, Yufeng, Zhang, Yuyu, Zheng, Shen, Zhu, He, Zhu, Ming
As the capabilities of code large language models (LLMs) continue to expand, their applications across diverse code intelligence domains are rapidly increasing. However, most existing datasets only evaluate limited application domains. To address thi
Externí odkaz:
http://arxiv.org/abs/2412.00535
Autor:
Bai, Jisheng, Liu, Haohe, Wang, Mou, Shi, Dongyuan, Wang, Wenwu, Plumbley, Mark D., Gan, Woon-Seng, Chen, Jianfeng
With the emergence of audio-language models, constructing large-scale paired audio-language datasets has become essential yet challenging for model development, primarily due to the time-intensive and labour-heavy demands involved. While large langua
Externí odkaz:
http://arxiv.org/abs/2411.18953
Topological photonics enables unprecedented photon manipulation by realizing various topological states, such as corner states, edge states, and surface states. However, achieving a topological fiber state has remained elusive. Here, we demonstrate a
Externí odkaz:
http://arxiv.org/abs/2410.01561
Autor:
Yin, Han, Bai, Jisheng, Xiao, Yang, Wang, Hui, Zheng, Siqi, Chen, Yafeng, Das, Rohan Kumar, Deng, Chong, Chen, Jianfeng
In sound event detection (SED), overlapping sound events pose a significant challenge, as certain events can be easily masked by background noise or other events, resulting in poor detection performance. To address this issue, we propose the text-que
Externí odkaz:
http://arxiv.org/abs/2409.13292
Autor:
Chen, Wenjie, Yang, Qi, Liu, Qi, Zhang, Yiqun, He, Liang, Xia, Yuanlin, Wang, Zhuqing, Huang, Yubo, Chen, Jianfeng, Xia, Cao
For traditional capacitive pressure sensors, high nonlinearity and poor sensitivity greatly limited their sensing applications. Hence, an innovative design of capacitors based on spiral comb electrodes is proposed for high-sensitivity pressure detect
Externí odkaz:
http://arxiv.org/abs/2407.08559
Autor:
Chen, Jianfeng, Liu, Sha, Zhang, Rui, Jin, Hao, Zhuo, Congshan, Fang, Ming, Yang, Yanguang, Zhong, Chengwen
The discrete velocity method (DVM) for rarefied flows and unified methods based on the DVM framework for flows in all regimes have worked well as precise flow solvers over the past decades and have been successfully extended to other important physic
Externí odkaz:
http://arxiv.org/abs/2406.09636
Deep learning-based sound event localization and classification is an emerging research area within wireless acoustic sensor networks. However, current methods for sound event localization and classification typically rely on a single microphone arra
Externí odkaz:
http://arxiv.org/abs/2403.20130
With the application of hematopoietic stem cell transplantation and new drugs, the progression-free survival rate and overall survival rate of multiple myeloma have been greatly improved, but it is still considered as a kind of disease that cannot be
Externí odkaz:
http://arxiv.org/abs/2403.00842
Autor:
Bai, Jisheng, Wang, Mou, Liu, Haohe, Yin, Han, Jia, Yafei, Huang, Siwei, Du, Yutong, Zhang, Dongzhe, Shi, Dongyuan, Gan, Woon-Seng, Plumbley, Mark D., Rahardja, Susanto, Xiang, Bin, Chen, Jianfeng
Acoustic scene classification (ASC) is a crucial research problem in computational auditory scene analysis, and it aims to recognize the unique acoustic characteristics of an environment. One of the challenges of the ASC task is the domain shift betw
Externí odkaz:
http://arxiv.org/abs/2402.02694
Traditional binary hard labels for sound event detection (SED) lack details about the complexity and variability of sound event distributions. Recently, a novel annotation workflow is proposed to generate fine-grained non-binary soft labels, resultin
Externí odkaz:
http://arxiv.org/abs/2311.14068