Zobrazeno 1 - 10
of 30 606
pro vyhledávání: '"An Wenyan"'
Autor:
Yao, Kai, Tan, Zhaorui, Ye, Tiandi, Li, Lichun, Zhao, Yuan, Liu, Wenyan, Wang, Wei, Zhu, Jianke
Offsite-tuning is a privacy-preserving method for tuning large language models (LLMs) by sharing a lossy compressed emulator from the LLM owners with data owners for downstream task tuning. This approach protects the privacy of both the model and dat
Externí odkaz:
http://arxiv.org/abs/2412.09812
Autor:
Zhu, Hanqing, Zhang, Zhenyu, Cong, Wenyan, Liu, Xi, Park, Sem, Chandra, Vikas, Long, Bo, Pan, David Z., Wang, Zhangyang, Lee, Jinwon
Large language models (LLMs) are notoriously memory-intensive during training, particularly with the popular AdamW optimizer. This memory burden necessitates using more or higher-end GPUs or reducing batch sizes, limiting training scalability and thr
Externí odkaz:
http://arxiv.org/abs/2412.05270
The charged current weak interaction can distinguish quark flavors, it provides a valid method to determine (transverse momentum dependent) parton distribution functions in high energy reactions by utilizing tagged hadrons. In this paper, we calculat
Externí odkaz:
http://arxiv.org/abs/2411.18080
Generative Adversarial Networks (GANs) are a class of neural networks that have been widely used in the field of image-to-image translation. In this paper, we propose a streamlined image-to-image translation network with a simpler architecture compar
Externí odkaz:
http://arxiv.org/abs/2411.10368
We investigate the return-forecasting and volatility-forecasting power of intraday on-chain flow data for BTC, ETH, and USDT, and the associated option strategies. First, we find that USDT net inflow into cryptocurrency exchanges positively forecasts
Externí odkaz:
http://arxiv.org/abs/2411.06327
The spread of a graph is the difference between the largest and smallest eigenvalue of its adjacency matrix. In this paper, we investigate spread problems for graphs with excluded clique-minors. We show that for sufficiently large $n$, the $n$-vertex
Externí odkaz:
http://arxiv.org/abs/2411.04014
PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices
Autor:
Zhu, Hanqing, Cong, Wenyan, Chen, Guojin, Ning, Shupeng, Chen, Ray T., Gu, Jiaqi, Pan, David Z.
Electromagnetic field simulation is central to designing, optimizing, and validating photonic devices and circuits. However, costly computation associated with numerical simulation poses a significant bottleneck, hindering scalability and turnaround
Externí odkaz:
http://arxiv.org/abs/2411.03527
Accurately diagnosing bearing faults is crucial for maintaining the efficient operation of rotating machinery. However, traditional diagnosis methods face challenges due to the diversification of application environments, including cross-condition ad
Externí odkaz:
http://arxiv.org/abs/2411.02718
Autor:
Fan, Zhiwen, Zhang, Jian, Cong, Wenyan, Wang, Peihao, Li, Renjie, Wen, Kairun, Zhou, Shijie, Kadambi, Achuta, Wang, Zhangyang, Xu, Danfei, Ivanovic, Boris, Pavone, Marco, Wang, Yue
Reconstructing and understanding 3D structures from a limited number of images is a well-established problem in computer vision. Traditional methods usually break this task into multiple subtasks, each requiring complex transformations between differ
Externí odkaz:
http://arxiv.org/abs/2410.18956
With the development of information technology, requirements for data flow have become diverse. When multiple data streams (MDS) are used, the demands of users change over time, which makes traditional teletraffic analysis not directly applicable. Th
Externí odkaz:
http://arxiv.org/abs/2411.00792