no code implementations • 31 Jan 2024 • Ke Lu, Dongjun Li, Qun Wang, Kaidi Yang, Lin Zhao, Ziyou Song
This paper presents a safe learning-based eco-driving framework tailored for mixed traffic flows, which aims to optimize energy efficiency while guaranteeing safety during real-system operations.
no code implementations • 5 Oct 2023 • Luoying Hao, Yan Hu, Wenjun Lin, Qun Wang, Heng Li, Huazhu Fu, Jinming Duan, Jiang Liu
In this paper, to accurately detect fine-grained actions that happen at every moment, we propose an anchor-context action detection network (ACTNet), including an anchor-context detection (ACD) module and a class conditional diffusion (CCD) module, to answer the following questions: 1) where the actions happen; 2) what actions are; 3) how confidence predictions are.
no code implementations • 2 Jun 2023 • Dongjun Li, Kaixiang Zhang, Haoxuan Dong, Qun Wang, Zhaojian Li, Ziyou Song
In this paper, we employ a data-enabled predictive control (DeePC) scheme to address the eco-driving of mixed traffic flows with diverse behaviors of human drivers.
no code implementations • 5 Oct 2022 • Qun Wang, Haoxuan Dong, Fei Ju, Weichao Zhuang, Chen Lv, Liangmo Wang, Ziyou Song
A comprehensive simulation is conducted to statistically verify the positive impacts of CAV on the holistic energy efficiency of the mixed traffic flow with uncertain and diverse human driving behaviors.
no code implementations • 8 Feb 2022 • Han Hu, Weiwei Song, Qun Wang, Rose Qingyang Hu, Hongbo Zhu
Theoretical analysis proves that the proposed algorithm can achieve a $[O(1/V), O(V)]$ tradeoff between EE and service delay.
no code implementations • 12 Jan 2022 • Qun Wang, Haijian Sun, Rose Qingyang Hu, Arupjyoti Bhuyan
The exponential growth of internet connected systems has generated numerous challenges, such as spectrum shortage issues, which require efficient spectrum sharing (SS) solutions.
no code implementations • 19 Sep 2021 • Qun Wang, Fuhui Zhou, Han Hu, Rose Qingyang Hu
Energy-efficient design is of crucial importance in wireless internet of things (IoT) networks.
no code implementations • 5 Aug 2021 • Xiang Ma, Haijian Sun, Qun Wang, Rose Qingyang Hu
A new machine learning (ML) technique termed as federated learning (FL) aims to preserve data at the edge devices and to only exchange ML model parameters in the learning process.
no code implementations • 16 Mar 2021 • Han Hu, Weiwei Song, Qun Wang, Fuhui Zhou, Rose Qingyang Hu
In this paper, the offloading decision and resource allocation problem is studied with mobility consideration.
no code implementations • 8 Mar 2021 • Nora Weickgenannt, Enrico Speranza, Xin-li Sheng, Qun Wang, Dirk H. Rischke
We derive the Boltzmann equation and the collision kernel for massive spin-1/2 particles, using the Wigner-function formalism and employing an expansion in powers of $\hbar$.
Nuclear Theory High Energy Physics - Phenomenology
no code implementations • 9 Feb 2021 • Qun Wang, Han Hu, Haijian Sun, Rose Qingyang Hu
In this paper, we study the task offloading and resource allocation problem in a non-orthogonal multiple access (NOMA) assisted MEC network with security and energy efficiency considerations.
1 code implementation • 21 Feb 2019 • Hong-Zhong Wu, Jun-Jie Zhang, Long-Gang Pang, Qun Wang
We have demonstrated that Tensorflow and Numba help inexperienced scientific researchers to parallelize their programs on multiple GPUs with little work.
Computational Physics