no code implementations • 6 Mar 2024 • Yingrui Ji, Yao Zhu, Zhigang Li, Jiansheng Chen, Yunlong Kong, Jingbo Chen
Our work addresses this challenge by enhancing the detection and management of OOD samples in neural networks.
no code implementations • 8 Nov 2023 • Yao Zhu, Yuefeng Chen, Wei Wang, Xiaofeng Mao, Xiu Yan, Yue Wang, Zhigang Li, Wang Lu, Jindong Wang, Xiangyang Ji
Hence, we propose fine-tuning the parameters of the attention pooling layer during the training process to encourage the model to focus on task-specific semantics.
no code implementations • 24 Apr 2023 • Yinchuan Li, Zhigang Li, Wenqian Li, Yunfeng Shao, Yan Zheng, Jianye Hao
Many score-based active learning methods have been successfully applied to graph-structured data, aiming to reduce the number of labels and achieve better performance of graph neural networks based on predefined score functions.
1 code implementation • 4 Mar 2023 • Wenqian Li, Yinchuan Li, Zhigang Li, Jianye Hao, Yan Pang
Uncovering rationales behind predictions of graph neural networks (GNNs) has received increasing attention over the years.
no code implementations • 9 Jun 2022 • Xin Li, Daqi Zhu, Bing Sun, Qi Chen, Wenyang Gan, Zhigang Li
At last, a robust sliding mode controller with continuous model predictive control strategy for the multi-AUV system is developed to achieve leader-follower formation tracking under the presence of bounded flow disturbances, and simulations are implemented to confirm the effectiveness of the proposed method.
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.
no code implementations • 1 Jul 2021 • Zhigang Li, Wenjing Huang, J. H. Zheng, Q. H. Wu
Although DC and linearized AC power flow equations are typically used to model dispatchable regions for transmission systems, these equations are rarely suitable for distribution networks.
no code implementations • CVPR 2020 • Jianzhun Shao, Yuhang Jiang, Gu Wang, Zhigang Li, Xiangyang Ji
6D pose estimation from a single RGB image is a challenging and vital task in computer vision.
no code implementations • 13 Dec 2020 • Yanqi Liu, Zhigang Li, Wei Wei, Jiehui Zheng, Hongcai Zhang
State-of-the-art dispatchable region (DR) research has studied how system operational constraints influence the DR but has seldom considered the effect of the uncertainty features of RPG outputs.
no code implementations • 19 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.
no code implementations • 5 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.
no code implementations • ICCV 2019 • Zhigang Li, Gu Wang, Xiangyang Ji
6-DoF object pose estimation from a single RGB image is a fundamental and long-standing problem in computer vision.
Ranked #11 on 6D Pose Estimation using RGB on LineMOD
1 code implementation • 22 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).
Applications
no code implementations • 28 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
no code implementations • 2 Feb 2019 • Yijiang Lian, Zhijie Chen, Jinlong Hu, Kefeng Zhang, Chunwei Yan, Muchenxuan Tong, Wenying Han, Hanju Guan, Ying Li, Ying Cao, Yang Yu, Zhigang Li, Xiaochun Liu, Yue Wang
In this paper, we present a generative retrieval method for sponsored search engine, which uses neural machine translation (NMT) to generate keywords directly from query.
no code implementations • 10 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.
no code implementations • 16 Dec 2016 • Baochang Zhang, Zhigang Li, Xian-Bin Cao, Qixiang Ye, Chen Chen, Linlin Shen, Alessandro Perina, Rongrong Ji
Kernelized Correlation Filter (KCF) is one of the state-of-the-art object trackers.