Search Results for author: Liangliang Zhang

Found 7 papers, 2 papers with code

A Survey on Safe Multi-Modal Learning System

no code implementations8 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.

A Survey on Graph Condensation

no code implementations3 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.

Computational Efficiency

Graph Adversarial Self-Supervised Learning

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.

Graph Classification Self-Supervised Learning

Asset Allocation via Machine Learning and Applications to Equity Portfolio Management

no code implementations1 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.

BIG-bench Machine Learning Management +1

Baidu Apollo EM Motion Planner

1 code implementation20 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.

Autonomous Driving Motion Planning

A Convergent Linear Regression Method for Forward-Backward Stochastic Differential Equations with Jumps

no code implementations15 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).


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