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pro vyhledávání: '"Liu, Shiqi"'
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
Bayesian filtering serves as the mainstream framework of state estimation in dynamic systems. Its standard version utilizes total probability rule and Bayes' law alternatively, where how to define and compute conditional probability is critical to st
Externí odkaz:
http://arxiv.org/abs/2404.00481
Autor:
Zeng, Zijie, Liu, Shiqi, Sha, Lele, Li, Zhuang, Yang, Kaixun, Liu, Sannyuya, Gašević, Dragan, Chen, Guanliang
This study explores the challenge of sentence-level AI-generated text detection within human-AI collaborative hybrid texts. Existing studies of AI-generated text detection for hybrid texts often rely on synthetic datasets. These typically involve hyb
Externí odkaz:
http://arxiv.org/abs/2403.03506
Autor:
Liu, Shiqi
Generalization is at the core of machine learning models. However, the definition of generalization is not entirely clear. We employ set theory to introduce the concepts of algorithms, hypotheses, and dataset generalization. We analyze the properties
Externí odkaz:
http://arxiv.org/abs/2311.06545
Publikováno v:
Educational Technology & Society, 2024 Apr 01. 27(2), 197-219.
Externí odkaz:
https://www.jstor.org/stable/48766171
Autor:
Xu, Mengdi, Huang, Peide, Yu, Wenhao, Liu, Shiqi, Zhang, Xilun, Niu, Yaru, Zhang, Tingnan, Xia, Fei, Tan, Jie, Zhao, Ding
Tool use is a hallmark of advanced intelligence, exemplified in both animal behavior and robotic capabilities. This paper investigates the feasibility of imbuing robots with the ability to creatively use tools in tasks that involve implicit physical
Externí odkaz:
http://arxiv.org/abs/2310.13065