Zobrazeno 1 - 10
of 32 385
pro vyhledávání: '"Lin Wei"'
Publikováno v:
in Proc. 67th IEEE Global Communications Conference (GLOBECOM 2024), Cape Town, South Africa, Dec. 8-12, 2024, pp. 2588-2593
In harsh environments such as mountainous terrain, dense vegetation areas, or urban landscapes, a single type of unmanned aerial vehicles (UAVs) may encounter challenges like flight restrictions, difficulty in task execution, or increased risk. There
Externí odkaz:
http://arxiv.org/abs/2412.17372
Autor:
Yuan, Xiulong, Yan, Xu, Shen, Wenting, Qiu, Xiafei, Wang, Ang, Zhang, Jie, Li, Yong, Lin, Wei
Publikováno v:
[1]"NeurIPS BladeDISC++: Memory Optimizations Based On Symbolic Shape" Neurips.cc, 2024. https://neurips.cc/virtual/2024/103601 (accessed Dec. 22, 2024)
Recent deep learning workloads exhibit dynamic characteristics, leading to the rising adoption of dynamic shape compilers. These compilers can generate efficient kernels for dynamic shape graphs characterized by a fixed graph topology and uncertain t
Externí odkaz:
http://arxiv.org/abs/2412.16985
Early-warning signals of delicate design are always used to predict critical transitions in complex systems, which makes it possible to render the systems far away from the catastrophic state by introducing timely interventions. Traditional signals i
Externí odkaz:
http://arxiv.org/abs/2412.16235
Large language models (LLMs), endowed with exceptional reasoning capabilities, are adept at discerning profound user interests from historical behaviors, thereby presenting a promising avenue for the advancement of recommendation systems. However, a
Externí odkaz:
http://arxiv.org/abs/2412.13771
Enabling Large Language Models (LLMs) to understand the 3D physical world is an emerging yet challenging research direction. Current strategies for processing point clouds typically downsample the scene or divide it into smaller parts for separate an
Externí odkaz:
http://arxiv.org/abs/2411.19774
Tuning effective step sizes is crucial for the stability and efficiency of optimization algorithms. While adaptive coordinate-wise step sizes tuning methods have been explored in first-order methods, second-order methods still lack efficient techniqu
Externí odkaz:
http://arxiv.org/abs/2412.00059
Autor:
Doveh, Sivan, Shabtay, Nimrod, Lin, Wei, Schwartz, Eli, Kuehne, Hilde, Giryes, Raja, Feris, Rogerio, Karlinsky, Leonid, Glass, James, Arbelle, Assaf, Ullman, Shimon, Mirza, M. Jehanzeb
Vision-Language Models (VLMs) have shown remarkable capabilities across diverse visual tasks, including image recognition, video understanding, and Visual Question Answering (VQA) when explicitly trained for these tasks. Despite these advances, we fi
Externí odkaz:
http://arxiv.org/abs/2411.13317
Complementary-label learning (CLL) is a weakly supervised learning paradigm for multiclass classification, where only complementary labels -- indicating classes an instance does not belong to -- are provided to the learning algorithm. Despite CLL's i
Externí odkaz:
http://arxiv.org/abs/2411.12276
Autor:
Zhou, Jie, Zhang, Qiming, Gong, Jiarui, Lu, Yi, Liu, Yang, Abbasi, Haris, Qiu, Haining, Kim, Jisoo, Lin, Wei, Kim, Donghyeok, Li, Yiran, Ng, Tien Khee, Jang, Hokyung, Liu, Dong, Wang, Haiyan, Ooi, Boon S., Ma, Zhenqiang
Semiconductor heterojunctions are foundational to many advanced electronic and optoelectronic devices. However, achieving high-quality, lattice-mismatched interfaces remains challenging, limiting both scalability and device performance. Semiconductor
Externí odkaz:
http://arxiv.org/abs/2411.09713
Autor:
Wang, Haidi, Feng, Qingqing, Li, Shuo, Lin, Wei, Zhu, Weiduo, Chen, Zhao, Li, Zhongjun, Liu, Xiaofeng, Li, Xingxing
Ferrimagnetic semiconductors, integrated with net magnetization, antiferromagnetic coupling and semi-conductivity, have constructed an ideal platform for spintronics. For practical applications, achieving high N$\acute{e}$el temperatures ($T_{\mathrm
Externí odkaz:
http://arxiv.org/abs/2411.04481