Zobrazeno 1 - 10
of 2 093
pro vyhledávání: '"Wang, Dongliang"'
Microring resonators (MRRs) are essential components in large-scale photonic integrated circuits (PICs), but programming these circuits with high precision and efficiency remains an unsolved challenge. Conventional methods rely on complex calibration
Externí odkaz:
http://arxiv.org/abs/2410.22064
Autor:
Niu, Zeyi, Huang, Wei, Zhang, Lei, Deng, Lin, Wang, Haibo, Yang, Yuhua, Wang, Dongliang, Li, Hong
With the rapid development of data-driven machine learning (ML) models in meteorology, typhoon track forecasts have become increasingly accurate. However, current ML models still face challenges, such as underestimating typhoon intensity and lacking
Externí odkaz:
http://arxiv.org/abs/2408.12630
Autor:
Zhuang, Jiafan, Xia, Zihao, Han, Gaofei, Wang, Boxi, Li, Wenji, Wang, Dongliang, Hao, Zhifeng, Cai, Ruichu, Fan, Zhun
Deep reinforcement learning (DRL) has achieved remarkable progress in online path planning tasks for multi-UAV systems. However, existing DRL-based methods often suffer from performance degradation when tackling unseen scenarios, since the non-causal
Externí odkaz:
http://arxiv.org/abs/2407.04064
Autor:
Zhuang, Jiafan, Han, Gaofei, Xia, Zihao, Wang, Boxi, Li, Wenji, Wang, Dongliang, Hao, Zhifeng, Cai, Ruichu, Fan, Zhun
In unseen and complex outdoor environments, collision avoidance navigation for unmanned aerial vehicle (UAV) swarms presents a challenging problem. It requires UAVs to navigate through various obstacles and complex backgrounds. Existing collision avo
Externí odkaz:
http://arxiv.org/abs/2407.04056
Reservoir computing (RC) is a leading machine learning algorithm for information processing due to its rich expressiveness. A new RC paradigm has recently emerged, showcasing superior performance and delivering more interpretable results with shorter
Externí odkaz:
http://arxiv.org/abs/2407.05840
Autor:
Guo, Jianfei, Deng, Nianchen, Li, Xinyang, Bai, Yeqi, Shi, Botian, Wang, Chiyu, Ding, Chenjing, Wang, Dongliang, Li, Yikang
We present a novel multi-view implicit surface reconstruction technique, termed StreetSurf, that is readily applicable to street view images in widely-used autonomous driving datasets, such as Waymo-perception sequences, without necessarily requiring
Externí odkaz:
http://arxiv.org/abs/2306.04988
Autor:
Wang, Dongliang1,2 (AUTHOR) byh248950700@stu.hunau.edu.cn, Yin, Caiyun1 (AUTHOR) yincaiyun@hnu.edu.cn, Bai, Yihan2 (AUTHOR) mingxiazhou@stu.hunau.edu.cn, Zhou, Mingxia2 (AUTHOR) naidongwang@hunau.edu.cn, Wang, Naidong2 (AUTHOR), Tong, Chunyi1 (AUTHOR) sw_tcy@hnu.edu.cn, Yang, Yi2 (AUTHOR) binliu2001@hotmail.com, Liu, Bin1 (AUTHOR) binliu2001@hotmail.com
Publikováno v:
Biomolecules (2218-273X). Sep2024, Vol. 14 Issue 9, p1152. 17p.
Autor:
Li, Yong-Lu, Fan, Hongwei, Qiu, Zuoyu, Dou, Yiming, Xu, Liang, Fang, Hao-Shu, Guo, Peiyang, Su, Haisheng, Wang, Dongliang, Wu, Wei, Lu, Cewu
Spatio-temporal Human-Object Interaction (ST-HOI) detection aims at detecting HOIs from videos, which is crucial for activity understanding. In daily HOIs, humans often interact with a variety of objects, e.g., holding and touching dozens of househol
Externí odkaz:
http://arxiv.org/abs/2211.07501
Autor:
Wang, Chen, Gu, Minqiang, Kuang, Wenxi, Wang, Dongliang, Luo, Weicheng, Shi, Zhaohui, Fan, Zhun
This study proposes a distributed algorithm that makes agents' adaptive grouping entrap multiple targets via automatic decision making, smooth flocking, and well-distributed entrapping. Agents make their own decisions about which targets to surround
Externí odkaz:
http://arxiv.org/abs/2206.14614
Autor:
Xu, Liang, Song, Ziyang, Wang, Dongliang, Su, Jing, Fang, Zhicheng, Ding, Chenjing, Gan, Weihao, Yan, Yichao, Jin, Xin, Yang, Xiaokang, Zeng, Wenjun, Wu, Wei
We present a GAN-based Transformer for general action-conditioned 3D human motion generation, including not only single-person actions but also multi-person interactive actions. Our approach consists of a powerful Action-conditioned motion TransForme
Externí odkaz:
http://arxiv.org/abs/2203.07706