Search Results for author: Zhigang Li

Found 11 papers, 2 papers with code

A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems

no code implementations NeurIPS 2021 Yi Ma, Xiaotian Hao, Jianye Hao, Jiawen Lu, Xing Liu, Tong Xialiang, Mingxuan Yuan, Zhigang Li, Jie Tang, Zhaopeng Meng

To address this problem, existing methods partition the overall DPDP into fixed-size sub-problems by caching online generated orders and solve each sub-problem, or on this basis to utilize the predicted future orders to optimize each sub-problem further.

Hierarchical Reinforcement Learning

Real-time Dispatchable Region of Active Distribution Networks Based on a Tight Convex Relaxation Model

no code implementations1 Jul 2021 Wenjing Huang, Zhigang Li, Mohammad Shahidehpour, J. H. Zheng

To balance accuracy and computational efficiency, this paper proposes an RTDR model of AC distribution networks using tight convex relaxation.

Robust RGB-based 6-DoF Pose Estimation without Real Pose Annotations

no code implementations19 Aug 2020 Zhigang Li, Yinlin Hu, Mathieu Salzmann, Xiangyang Ji

We achieve state of the art performance on LINEMOD, and OccludedLINEMOD in without real-pose setting, even outperforming methods that rely on real annotations during training on Occluded-LINEMOD.

Pose Estimation

Optimizing AD Pruning of Sponsored Search with Reinforcement Learning

no code implementations5 Aug 2020 Yijiang Lian, Zhijie Chen, Xin Pei, Shuang Li, Yifei Wang, Yuefeng Qiu, Zhiheng Zhang, Zhipeng Tao, Liang Yuan, Hanju Guan, Kefeng Zhang, Zhigang Li, Xiaochun Liu

Industrial sponsored search system (SSS) can be logically divided into three modules: keywords matching, ad retrieving, and ranking.

IFAA: Robust association identification and Inference For Absolute Abundance in microbiome analyses

1 code implementation22 Sep 2019 Zhigang Li, Lu Tian, A. James O'Malley, Margaret R. Karagas, Anne G. Hoen, Brock C. Christensen, Juliette C. Madan, Quran Wu, Raad Z. Gharaibeh, Christian Jobin, Hongzhe Li

The target of inference in microbiome analyses is usually relative abundance (RA) because RA in a sample (e. g., stool) can be considered as an approximation of RA in an entire ecosystem (e. g., gut).


Cosmological parameter estimation from large-scale structure deep learning

no code implementations28 Aug 2019 Shuyang Pan, Miaoxin Liu, Jaime Forero-Romero, Cristiano G. Sabiu, Zhigang Li, Haitao Miao, Xiao-Dong Li

We propose a light-weight deep convolutional neural network to estimate the cosmological parameters from simulated 3-dimensional dark matter distributions with high accuracy.

Cosmology and Nongalactic Astrophysics General Relativity and Quantum Cosmology

Generate Identity-Preserving Faces by Generative Adversarial Networks

no code implementations10 Jun 2017 Zhigang Li, Yupin Luo

Generating identity-preserving faces aims to generate various face images keeping the same identity given a target face image.

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