Kailing Guo

According to our database, Kailing Guo authored at least 32 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CorrTalk: Correlation Between Hierarchical Speech and Facial Activity Variances for 3D Animation.

Zhaojie Chu, Kailing Guo, Xiaofen Xing, Yilin Lan, Bolun Cai, Xiangmin Xu

IEEE Trans. Circuits Syst. Video Technol., September, 2024

Label-Guided Dynamic Spatial-Temporal Fusion for Video-Based Facial Expression Recognition.

Ziyang Zhang, Xiang Tian, Yuan Zhang, Kailing Guo, Xiangmin Xu

IEEE Trans. Multim., 2024

Bridge Graph Attention Based Graph Convolution Network With Multi-Scale Transformer for EEG Emotion Recognition.

Huachao Yan, Kailing Guo, Xiaofen Xing, Xiangmin Xu

IEEE Trans. Affect. Comput., 2024

Boosting Cross-Domain Point Classification via Distilling Relational Priors from 2D Transformers.

Longkun Zou, Wanru Zhu, Ke Chen, Lihua Guo, Kailing Guo, Kui Jia, Yaowei Wang

CoRR, 2024

Local Reactivation for Communication Efficient Federated Learning Based on Sparse Gradient Deviation.

Chang Mu, Ziyang Zhang, Xiang Tian, Kailing Guo, Xiangmin Xu

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Reference-based Video Colorization with AB Chrominance Point and Temporal Propagation.

Yizhang Yang, Jianxiu Jin, Ying Huang, Kailing Guo, Xiangmin Xu

Proceedings of the 2024 16th International Conference on Machine Learning and Computing, 2024

SCC-Conv: A Novel Convolution with Spatial-Channel Cheap Operation for Single Image Super-Resolution.

Yin Huang, Ziyang Zhang, Kailing Guo, Xiangmin Xu

Proceedings of the 2024 16th International Conference on Machine Learning and Computing, 2024

2023

Reflective Learning With Label Noise.

Lin Wang, Xiangmin Xu, Kailing Guo, Bolun Cai, Fang Liu

IEEE Trans. Circuits Syst. Video Technol., July, 2023

Enhanced discriminative global-local feature learning with priority for facial expression recognition.

Ziyang Zhang, Xiang Tian, Yuan Zhang, Kailing Guo, Xiangmin Xu

Inf. Sci., June, 2023

Dynamic Shuffle: An Efficient Channel Mixture Method.

Kaijun Gong, Zhuowen Yin, Yushu Li, Kailing Guo, Xiangmin Xu

CoRR, 2023

LAPP: Layer Adaptive Progressive Pruning for Compressing CNNs from Scratch.

Pucheng Zhai, Kailing Guo, Fang Liu, Xiaofen Xing, Xiangmin Xu

CoRR, 2023

Cross Range Quantization for Network Compression.

Yicai Yang, Xiaofen Xing, Ming Chen, Kailing Guo, Xiangmin Xu, Fang Liu

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Simple-action-guided dictionary learning for complex action recognition.

Fang Liu, Xiangmin Xu, Xiaofen Xing, Kailing Guo, Lin Wang

Neurocomputing, 2022

Compact Model Training by Low-Rank Projection with Energy Transfer.

Kailing Guo, Zhenquan Lin, Xiaofen Xing, Fang Liu, Xiangmin Xu

CoRR, 2022

2021

Weight Evolution: Improving Deep Neural Networks Training through Evolving Inferior Weight Values.

Zhenquan Lin, Kailing Guo, Xiaofen Xing, Xiangmin Xu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Pruning the Unimportant or Redundant Filters? Synergy Makes Better.

Yucheng Cai, Zhuowen Yin, Kailing Guo, Xiangmin Xu

Proceedings of the International Joint Conference on Neural Networks, 2021

Simple to complex dictionary learning for action recognition.

Fang Liu, Feifei Qi, Xiaofen Xing, Kailing Guo

Proceedings of the ACAI 2021: 4th International Conference on Algorithms, Computing and Artificial Intelligence, Sanya, China, December 22, 2021

2020

Exploring privileged information from simple actions for complex action recognition.

Fang Liu, Xiangmin Xu, Tong Zhang, Kailing Guo, Lin Wang

Neurocomputing, 2020

2019

Low-Rank Tensor Thresholding Ridge Regression.

Kailing Guo, Tong Zhang, Xiangmin Xu, Xiaofen Xing

IEEE Access, 2019

Compressing by Learning in a Low-Rank and Sparse Decomposition Form.

Kailing Guo, Xiaona Xie, Xiangmin Xu, Xiaofen Xing

IEEE Access, 2019

2018

GoDec+: Fast and Robust Low-Rank Matrix Decomposition Based on Maximum Correntropy.

Kailing Guo, Liu Liu, Xiangmin Xu, Dong Xu, Dacheng Tao

IEEE Trans. Neural Networks Learn. Syst., 2018

Visual Sentiment Analysis with Noisy Labels by Reweighting Loss.

Kailing Guo, Xiangmin Xu, Lin Wang, Bolun Cai

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Learning Adaptive Selection Network for Real-Time Visual Tracking.

Jiangfeng Xiong, Xiangmin Xu, Bolun Cai, Xiaofen Xing, Kailing Guo

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Style Transfer at 100+ FPS Via Sub-Pixel Super-Resolution.

Haoyu Li, Xiangmin Xu, Bolun Cai, Kailing Guo, Xiaofen Xing

Proceedings of the 2018 IEEE International Conference on Multimedia & Expo Workshops, 2018

2017

Discriminative GoDec+ for Classification.

Kailing Guo, Xiangmin Xu, Dacheng Tao

IEEE Trans. Signal Process., 2017

Learning Reduced-Resolution and Super-Resolution Networks in Synch.

Bolun Cai, Xiangmin Xu, Kailing Guo, Kui Jia, Dacheng Tao

CoRR, 2017

Single Image Super-Resolution Using Multi-scale Convolutional Neural Network.

Xiaoyi Jia, Xiangmin Xu, Bolun Cai, Kailing Guo

Proceedings of the Advances in Multimedia Information Processing - PCM 2017, 2017

Joint Latent Space and Multi-view Feature Learning.

Kailing Guo, Xiangmin Xu, Bolun Cai, Tong Zhang

Proceedings of the Internet Multimedia Computing and Service, 2017

A Joint Intrinsic-Extrinsic Prior Model for Retinex.

Bolun Cai, Xianming Xu, Kailing Guo, Kui Jia, Bin Hu, Dacheng Tao

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Blurred target tracking based on sparse representation of online updated templates.

Xiaofen Xing, Nanhai Zhang, Kailing Guo, Chunmei Qing, Jiali Deng, Huiping Qin

Proceedings of the 10th International Symposium on Communication Systems, 2016

2015

Particle swarm optimization based multi-domain virtual network embedding.

Kailing Guo, Ying Wang, Xuesong Qiu, Wenjing Li, Ailing Xiao

Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2015

2013

A novel incremental weighted PCA algorithm for visual tracking.

Kailing Guo, Xiangmin Xu, Fuhao Qiu, Jiayong Chen

Proceedings of the IEEE International Conference on Image Processing, 2013