Zobrazeno 1 - 10
of 1 825
pro vyhledávání: '"Liu, Shiqi"'
Autor:
Feng, Yuming, Hong, Chuye, Niu, Yaru, Liu, Shiqi, Yang, Yuxiang, Yu, Wenhao, Zhang, Tingnan, Tan, Jie, Zhao, Ding
Recently, quadrupedal locomotion has achieved significant success, but their manipulation capabilities, particularly in handling large objects, remain limited, restricting their usefulness in demanding real-world applications such as search and rescu
Externí odkaz:
http://arxiv.org/abs/2411.07104
Autor:
Zhang, Xilun, Liu, Shiqi, Huang, Peide, Han, William Jongwon, Lyu, Yiqi, Xu, Mengdi, Zhao, Ding
Sim-to-real transfer remains a significant challenge in robotics due to the discrepancies between simulated and real-world dynamics. Traditional methods like Domain Randomization often fail to capture fine-grained dynamics, limiting their effectivene
Externí odkaz:
http://arxiv.org/abs/2410.20357
Symmetric n-and p-Type Sub-5-nm 1D Graphene Nanoribbon Transistors for Homogeneous CMOS Applications
Autor:
Xu, Linqiang, Liu, Shiqi, Li, Qiuhui, Li, Ying, Fang, Shibo, Guo, Ying, Ang, Yee Sin, Yang, Chen, Lu, Jing
Graphene nanoribbon (GNR) emerges as an exceptionally promising channel candidate due to its tunable sizable bandgap (0-3 eV), ultrahigh carrier mobility (up to 4600 cm^(2) V^(-1) s^(-1)), and excellent device performance (current on-off ratio of 10^
Externí odkaz:
http://arxiv.org/abs/2408.07338
Autor:
Yao, Yihang, Cen, Zhepeng, Ding, Wenhao, Lin, Haohong, Liu, Shiqi, Zhang, Tingnan, Yu, Wenhao, Zhao, Ding
Offline safe reinforcement learning (RL) aims to train a policy that satisfies constraints using a pre-collected dataset. Most current methods struggle with the mismatch between imperfect demonstrations and the desired safe and rewarding performance.
Externí odkaz:
http://arxiv.org/abs/2407.14653
Autor:
Liu, Shiqi, Tan, Yihua
With the advancement of computer vision and natural language processing, text-to-video generation, enabled by text-to-video diffusion models, has become more prevalent. These models are trained using a large amount of data from the internet. However,
Externí odkaz:
http://arxiv.org/abs/2407.14209
In the world of stochastic control, especially in economics and engineering, Markov Decision Processes (MDPs) can effectively model various stochastic decision processes, from asset management to transportation optimization. These underlying MDPs, up
Externí odkaz:
http://arxiv.org/abs/2406.16151
Multi-object tracking (MOT) is an essential technique for navigation in autonomous driving. In tracking-by-detection systems, biases, false positives, and misses, which are referred to as outliers, are inevitable due to complex traffic scenarios. Rec
Externí odkaz:
http://arxiv.org/abs/2406.01380
Various machine learning approaches have gained significant popularity for the automated classification of educational text to identify indicators of learning engagement -- i.e. learning engagement classification (LEC). LEC can offer comprehensive in
Externí odkaz:
http://arxiv.org/abs/2406.00954
Autor:
Li, Ying, Shen, Yang, Xu, Linqiang, Liu, Shiqi, Chen, Yang, Li, Qiuhui, Yang, Zongmeng, Sun, Xiaotian, Tian, He, Lu, Jing
Sub-1-nm gate length $MoS_2$ transistors have been experimentally fabricated, but their device performance limit remains elusive. Herein, we explore the performance limits of the sub-1-nm gate length monolayer (ML) $MoS_2$ transistors through ab init
Externí odkaz:
http://arxiv.org/abs/2404.13801
Publikováno v:
Nat. Phys. (2024)
Propagating spiral waves have been discovered in various chemical, biological and physical systems. Spiral waves in multicellular organisms are often associated with essential living functions. Although certain eukaryotic microorganisms have long bee
Externí odkaz:
http://arxiv.org/abs/2404.06990