no code implementations • 15 May 2018 • Tingting Ye, Liangliang Zhang
In this paper, we introduce a large class of convergent numerical methods, based on (linear) basis function regression technique, to approximate the solution to a forward-backward stochastic differential equation with jumps (FBSDEJ hereafter).
1 code implementation • 20 Jul 2018 • Haoyang Fan, Fan Zhu, Changchun Liu, Liangliang Zhang, Li Zhuang, Dong Li, Weicheng Zhu, Jiangtao Hu, Hongye Li, Qi Kong
In this manuscript, we introduce a real-time motion planning system based on the Baidu Apollo (open source) autonomous driving platform.
no code implementations • 1 Nov 2020 • Qing Yang, Zhenning Hong, Ruyan Tian, Tingting Ye, Liangliang Zhang
In this paper, we document a novel machine learning based bottom-up approach for static and dynamic portfolio optimization on, potentially, a large number of assets.
no code implementations • NeurIPS 2021 • Longqi Yang, Liangliang Zhang, Wenjing Yang
This paper studies a long-standing problem of learning the representations of a whole graph without human supervision.
1 code implementation • 27 Jun 2022 • Yuchen Wang, Zhongyu Li, Xiangxiang Cui, Liangliang Zhang, Xiang Luo, Meng Yang, Shi Chang
Ultrasound examination is widely used in the clinical diagnosis of thyroid nodules (benign/malignant).
no code implementations • 3 Feb 2024 • Hongjia Xu, Liangliang Zhang, Yao Ma, Sheng Zhou, Zhuonan Zheng, Bu Jiajun
Analytics on large-scale graphs have posed significant challenges to computational efficiency and resource requirements.
no code implementations • 8 Feb 2024 • Tianyi Zhao, Liangliang Zhang, Yao Ma, Lu Cheng
In the rapidly evolving landscape of artificial intelligence, multimodal learning systems (MMLS) have gained traction for their ability to process and integrate information from diverse modality inputs.