Search Results for author: Qi Lu

Found 6 papers, 3 papers with code

CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-based Autonomous Urban Driving

no code implementations17 Feb 2022 Yinuo Zhao, Kun Wu, Zhiyuan Xu, Zhengping Che, Qi Lu, Jian Tang, Chi Harold Liu

Vision-based autonomous urban driving in dense traffic is quite challenging due to the complicated urban environment and the dynamics of the driving behaviors.

reinforcement-learning

Knowledge Transfer for Few-shot Segmentation of Novel White Matter Tracts

no code implementations30 May 2021 Qi Lu, Chuyang Ye

The expensive manual delineation can be a particular disadvantage when novel WM tracts, i. e., tracts that have not been included in existing manual delineations, are to be analyzed.

Transfer Learning

Optimal Feedback for Stochastic Linear Quadratic Control and Backward Stochastic Riccati Equations in Infinite Dimensions

1 code implementation4 Jan 2019 Qi Lu, Xu Zhang

It is a longstanding unsolved problem to characterize the optimal feedbacks for general SLQs (i. e., stochastic linear quadratic control problems) with random coefficients in infinite dimensions; while the same problem but in finite dimensions was just addressed in a recent work [36].

Optimization and Control Probability 60H15, 93E20, 60H25, 49J30

Second Order Optimality Conditions for Optimal Control Problems of Stochastic Evolution Equations

1 code implementation18 Nov 2018 Qi Lu, Haisen Zhang, Xu Zhang

In this paper, we establish some second order necessary/sufficient optimality conditions for optimal control problems of stochastic evolution equations in infinite dimensions.

Optimization and Control Primary 93E20, Secondary, 60H07, 60H15

BigDL: A Distributed Deep Learning Framework for Big Data

2 code implementations16 Apr 2018 Jason Dai, Yiheng Wang, Xin Qiu, Ding Ding, Yao Zhang, Yanzhang Wang, Xianyan Jia, Cherry Zhang, Yan Wan, Zhichao Li, Jiao Wang, Shengsheng Huang, Zhongyuan Wu, Yang Wang, Yuhao Yang, Bowen She, Dongjie Shi, Qi Lu, Kai Huang, Guoqiong Song

This paper presents BigDL (a distributed deep learning framework for Apache Spark), which has been used by a variety of users in the industry for building deep learning applications on production big data platforms.

Fraud Detection Object Detection

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