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Xingjian Gu
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2020 – today
- 2024
- [j17]Yanbin Li, Ziming He
, Xingjian Gu, Huanliang Xu, Shougang Ren:
AFedAvg: communication-efficient federated learning aggregation with adaptive communication frequency and gradient sparse. J. Exp. Theor. Artif. Intell. 36(1): 47-69 (2024) - [c6]Aadarsh Padiyath
, Xinying Hou
, Amy Pang
, Diego Viramontes Vargas
, Xingjian Gu
, Tamara Nelson-Fromm
, Zihan Wu
, Mark Guzdial
, Barbara Ericson
:
Insights from Social Shaping Theory: The Appropriation of Large Language Models in an Undergraduate Programming Course. ICER (1) 2024: 114-130 - [c5]Xingjian Gu
, Barbara J. Ericson
, Zihan Wu
:
Supporting Instructors Adoption of Peer Instruction. SIGCSE (2) 2024: 1662-1663 - [i1]Aadarsh Padiyath, Xinying Hou, Amy Pang, Diego Viramontes Vargas, Xingjian Gu, Tamara Nelson-Fromm, Zihan Wu, Mark Guzdial, Barbara Ericson:
Insights from Social Shaping Theory: The Appropriation of Large Language Models in an Undergraduate Programming Course. CoRR abs/2406.06451 (2024) - 2023
- [j16]Xingjian Gu, Yongjie Zhu, Shougang Ren, Xiangbo Shu:
BCMask: a finer leaf instance segmentation with bilayer convolution mask. Multim. Syst. 29(3): 1145-1159 (2023) - [j15]Xingjian Gu, Xin Shu, Jing Yang, Yan Xu, Haiyan Jiang, Xiangbo Shu:
Supervised Learning Strategy for Spiking Neurons Based on Their Segmental Running Characteristics. Neural Process. Lett. 55(8): 10747-10772 (2023) - [j14]Shougang Ren, Zhiruo Fang, Xingjian Gu:
A Cross Stage Partial Network with Strengthen Matching Detector for Remote Sensing Object Detection. Remote. Sens. 15(6): 1574 (2023) - [c4]Barbara J. Ericson
, Xingjian Gu
, Shefali Patel
, Aadarsh Padiyath
:
Peer+: A Tool to Support Peer Instruction in Interactive Ebooks. ICER (2) 2023: 48-49 - 2022
- [j13]Xingjian Gu, Sizhe Li, Shougang Ren, Hengbiao Zheng, Chengcheng Fan, Huanliang Xu:
Adaptive enhanced swin transformer with U-net for remote sensing image segmentation. Comput. Electr. Eng. 102: 108223 (2022) - 2021
- [j12]Xiaojun Xie
, Xingjian Gu, Yanbin Li, Zhiwei Ji
:
K-size partial reduct: Positive region optimization for attribute reduction. Knowl. Based Syst. 228: 107253 (2021) - 2020
- [c3]Xingjian Gu
, Max A. Heller, Stella Li, Yanyan Ren
, Kathi Fisler
, Shriram Krishnamurthi
:
Using Design Alternatives to Learn About Data Organizations. ICER 2020: 248-258
2010 – 2019
- 2018
- [j11]Shougang Ren
, Xingjian Gu
, Peisen Yuan, Huanliang Xu:
An iterative paradigm of joint feature extraction and labeling for semi-supervised discriminant analysis. Neurocomputing 273: 466-480 (2018) - [j10]Xingjian Gu, Xiangbo Shu, Shougang Ren, Huanliang Xu:
Two Dimensional Slow Feature Discriminant Analysis via L 2, 1 Norm Minimization for Feature Extraction. KSII Trans. Internet Inf. Syst. 12(7): 3194-3216 (2018) - [j9]Shougang Ren, Sheng Wan, Xingjian Gu, Haoyun Wang, Peisen Yuan, Huanliang Xu:
基于多尺度空谱鉴别特征的高光谱图像分类 (Hyperspectral Image Classification Based on Multi-scale Discriminative Spatial-spectral Features). 计算机科学 45(12): 243-250 (2018) - [j8]Tingwei Wang, Chuancai Liu, Liantao Wang, Bingxian Ma, Xingjian Gu:
Evolution modeling with multi-scale smoothing for action recognition. J. Vis. Commun. Image Represent. 55: 778-788 (2018) - 2016
- [j7]Sheng Wang
, Jianfeng Lu, Xingjian Gu, Benjamin Asubam Weyori
, Jing-Yu Yang:
Unsupervised discriminant canonical correlation analysis based on spectral clustering. Neurocomputing 171: 425-433 (2016) - [j6]Sheng Wang
, Jianfeng Lu, Xingjian Gu, Chunhua Shen, Rui Xia, Jing-Yu Yang:
Canonical principal angles correlation analysis for two-view data. J. Vis. Commun. Image Represent. 35: 209-219 (2016) - [j5]Sheng Wang
, Jianfeng Lu
, Xingjian Gu, Haishun Du
, Jing-Yu Yang:
Semi-supervised linear discriminant analysis for dimension reduction and classification. Pattern Recognit. 57: 179-189 (2016) - 2015
- [j4]Xingjian Gu, Chuancai Liu
, Sheng Wang, Cairong Zhao:
Feature extraction using adaptive slow feature discriminant analysis. Neurocomputing 154: 139-148 (2015) - [j3]Xingjian Gu, Chuancai Liu
, Sheng Wang, Cairong Zhao, Songsong Wu:
Uncorrelated slow feature discriminant analysis using globality preserving projections for feature extraction. Neurocomputing 168: 488-499 (2015) - [j2]Xingjian Gu, Chuancai Liu, Sheng Wang
:
Adaptive unsupervised slow feature analysis for feature extraction. J. Electronic Imaging 24(2): 023021 (2015) - 2014
- [c2]Sheng Wang
, Xingjian Gu, Jianfeng Lu, Jing-Yu Yang, Ruili Wang, Jian Yang:
Unsupervised Discriminant Canonical Correlation Analysis for Feature Fusion. ICPR 2014: 1550-1555 - 2013
- [c1]Xingjian Gu, Chuancai Liu, Sheng Wang:
Supervised Slow Feature Analysis for Face Recognition. CCBR 2013: 178-184 - 2012
- [j1]Cairong Zhao, Zhihui Lai, Chuancai Liu, Xingjian Gu, Jianjun Qian:
Fuzzy local maximal marginal embedding for feature extraction. Soft Comput. 16(1): 77-87 (2012)
Coauthor Index
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last updated on 2024-08-23 19:25 CEST by the dblp team
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