no code implementations • 22 Jan 2024 • Leichao Cui, Xiuxian Li, Min Meng, Guangyu Jia
To tackle the challenge of expanding the receptive field of a 3D convolutional kernel, we introduce the Dynamic Feature Fusion Module (DFFM).
no code implementations • 31 May 2023 • Xinlei Yi, Xiuxian Li, Tao Yang, Lihua Xie, Yiguang Hong, Tianyou Chai, Karl H. Johansson
Moreover, if the loss functions are strongly convex, then the network regret bound is reduced to $\mathcal{O}(\log(T))$, and the network cumulative constraint violation bound is reduced to $\mathcal{O}(\sqrt{\log(T)T})$ and $\mathcal{O}(\log(T))$ without and with Slater's condition, respectively.
no code implementations • 13 Mar 2023 • Leichao Cui, Xiuxian Li, Min Meng, Xiaoyu Mo
However, due to the sparsity of point clouds, accurate and reliable detection cannot be achieved in specific scenarios.
no code implementations • 16 Jul 2022 • Xiuxian Li, Min Meng, Yiguang Hong, Jie Chen
Game theory has by now found numerous applications in various fields, including economics, industry, jurisprudence, and artificial intelligence, where each player only cares about its own interest in a noncooperative or cooperative manner, but without obvious malice to other players.
no code implementations • 1 May 2022 • Xiuxian Li, Lihua Xie, Na Li
And the local cost function of each agent is often time-varying in dynamic and even adversarial environments.
no code implementations • 4 Sep 2021 • Xiuxian Li, Kuo-Yi Lin, Li Li, Yiguang Hong, Jie Chen
For the first two cases, it can be shown that the scaled signGD converges at a linear rate.
no code implementations • 9 Jun 2021 • Xinlei Yi, Xiuxian Li, Tao Yang, Lihua Xie, Tianyou Chai, Karl H. Johansson
A novel algorithm is first proposed and it achieves an $\mathcal{O}(T^{\max\{c, 1-c\}})$ bound for static regret and an $\mathcal{O}(T^{(1-c)/2})$ bound for cumulative constraint violation, where $c\in(0, 1)$ is a user-defined trade-off parameter, and thus has improved performance compared with existing results.
no code implementations • 26 May 2021 • Xinran Li, Kuo-Yi Lin, Min Meng, Xiuxian Li, Li Li, Yiguang Hong, Jie Chen
Due to the growing awareness of driving safety and the development of sophisticated technologies, advanced driving assistance system (ADAS) has been equipped in more and more vehicles with higher accuracy and lower price.
no code implementations • 1 May 2021 • Xinlei Yi, Xiuxian Li, Tao Yang, Lihua Xie, Tianyou Chai, Karl H. Johansson
This is a sequential decision making problem with two sequences of arbitrarily varying convex loss and constraint functions.
no code implementations • 3 Jan 2020 • Jiaqi Yan, Xiuxian Li, Yilin Mo, Changyun Wen
To this end, this paper first considers a general class of consensus algorithms, where each benign agent computes an "auxiliary point" based on the received values and moves its state toward this point.
no code implementations • 6 Mar 2019 • Xinlei Yi, Xiuxian Li, Lihua Xie, Karl H. Johansson
Assuming Slater's condition, we show that the algorithm achieves smaller bounds on the constraint violation.