Jiang Xue — accepted AI-conference papers

2024

IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs

Xi Gao, Jinxin Xiong, Akang Wang, Qihong Duan, Jiang Xue, Qingjiang Shi

NeurIPS 2024poster

Solving constrained nonlinear programs (NLPs) is of great importance in various domains such as power systems, robotics, and wireless communication networks. One widely used approach for addressing NLPs is the interior point method (IPM). The most computationally expensive procedure in IPMs is to so…

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2016

On the performance of cloud radio access networks using Matérn hard-core point processes

Huasen Hu, Jiang Xue, Tharm Ratnarajah, Faheem Ahmad Khan, Constantinos B. Papadias

ICASSP 2016accepted

In this paper, the performance of a cloud radio access network (CRAN) is analysed, which consists of multiple randomly distributed remote radio heads (RRHs) and a macro base station (MBS). Different from previous works on CRAN where Poisson Point Process (PPP) is used to model spatial distribution o…

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