no code implementations • 11 May 2024 • Zhao-Rong Lai, Xiaotian Wu, Liangda Fang, Ziliang Chen
The extended Weber location problem is a classical optimization problem that has inspired some new works in several machine learning scenarios recently.
no code implementations • 16 Nov 2023 • Deyuan Zhong, Mingwei Zhang, Quanlong Guan, Liangda Fang, Zhaorong Lai, Yong Lai
The standard ones minimize the size of sentential decision diagrams (SDDs) while the zero-suppressed trimming rules have the same objective as the standard ones but for zero-suppressed sentential decision diagrams (ZSDDs).
no code implementations • 28 Oct 2023 • Quanlong Guan, Tong Zhu, Liangda Fang, Junming Qiu, Zhao-Rong Lai, Weiqi Luo
Firstly, we present a modification of the original KM postulates based on belief states.
no code implementations • 3 May 2023 • Tian Zhang, Wenshan Guan, Hao Miao, Xiujie Huang, Zhiquan Liu, Chaonan Wang, Quanlong Guan, Liangda Fang, Zhifei Duan
We evaluate the model on OpenPilot and experimentally demonstrate the effectiveness of the VSRQ model in identifying the safety of vehicle intelligent connected systems.
no code implementations • 21 Apr 2022 • Weizhen Xu, Chenyi Zhang, Fangzhen Zhao, Liangda Fang
Adversarial attacks hamper the functionality and accuracy of Deep Neural Networks (DNNs) by meddling with subtle perturbations to their inputs. In this work, we propose a new Mask-based Adversarial Defense scheme (MAD) for DNNs to mitigate the negative effect from adversarial attacks.
1 code implementation • IEEE Transactions on Systems, Man, and Cybernetics 2018 • Zhao-Rong Lai, Pei-Yi Yang, Liangda Fang, Xiaotian Wu
In the portfolio optimizing stage, a novel tracking system with a generalized increasing factor is proposed to maximize the future wealth of next period.
no code implementations • 29 Jun 2018 • Liangda Fang, Hai Wan, Xianqiao Liu, Biqing Fang, Zhaorong Lai
Dependence is an important concept for many tasks in artificial intelligence.
no code implementations • 27 Jun 2018 • Liangda Fang, Kewen Wang, Zhe Wang, Ximing Wen
Epistemic logics are a primary formalism for multi-agent systems but major reasoning tasks in such epistemic logics are intractable, which impedes applications of multi-agent epistemic logics in automatic planning.