A novel incremental weighted PCA algorithm for visual tracking. - Kailing Guo; Xiangmin Xu; Fuhao Qiu; Jiayong Chen (ICIP, 2013)

Particle swarm optimization based multi-domain virtual network embedding. - Kailing Guo; Ying Wang 002; Xuesong Qiu 001; Wenjing Li 001; Ailing Xiao (IM, 2015)

Blurred target tracking based on sparse representation of online updated templates. - Xiaofen Xing; Nanhai Zhang; Kailing Guo; Chunmei Qing; Jiali Deng; Huiping Qin (CSNDSP, 2016)

A Joint Intrinsic-Extrinsic Prior Model for Retinex. - Bolun Cai; Xianming Xu; Kailing Guo; Kui Jia; Bin Hu; Dacheng Tao (ICCV, 2017)

Joint Latent Space and Multi-view Feature Learning. - Kailing Guo; Xiangmin Xu; Bolun Cai; Tong Zhang 015 (ICIMCS, 2017)

Single Image Super-Resolution Using Multi-scale Convolutional Neural Network. - Xiaoyi Jia; Xiangmin Xu; Bolun Cai; Kailing Guo (PCM (1), 2017)

Learning Reduced-Resolution and Super-Resolution Networks in Synch. - Bolun Cai; Xiangmin Xu; Kailing Guo; Kui Jia; Dacheng Tao (CoRR, 2017)

Discriminative GoDec+ for Classification. - Kailing Guo; Xiangmin Xu; Dacheng Tao (IEEE Trans. Signal Process., 2017)

Style Transfer at 100+ FPS Via Sub-Pixel Super-Resolution. - Haoyu Li; Xiangmin Xu; Bolun Cai; Kailing Guo; Xiaofen Xing (ICME Workshops, 2018)

Learning Adaptive Selection Network for Real-Time Visual Tracking. - Jiangfeng Xiong; Xiangmin Xu; Bolun Cai; Xiaofen Xing; Kailing Guo (ICME, 2018)

Visual Sentiment Analysis with Noisy Labels by Reweighting Loss. - Kailing Guo; Xiangmin Xu; Lin Wang; Bolun Cai (SMC, 2018)

GoDec+: Fast and Robust Low-Rank Matrix Decomposition Based on Maximum Correntropy. - Kailing Guo; Liu Liu 014; Xiangmin Xu; Dong Xu 001; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2018)

Compressing by Learning in a Low-Rank and Sparse Decomposition Form. - Kailing Guo; Xiaona Xie; Xiangmin Xu; Xiaofen Xing (IEEE Access, 2019)

Low-Rank Tensor Thresholding Ridge Regression. - Kailing Guo; Tong Zhang 015; Xiangmin Xu; Xiaofen Xing (IEEE Access, 2019)

Exploring privileged information from simple actions for complex action recognition. - Fang Liu 030; Xiangmin Xu; Tong Zhang 015; Kailing Guo; Lin Wang 004 (Neurocomputing, 2020)

Simple to complex dictionary learning for action recognition. - Fang Liu 030; Feifei Qi; Xiaofen Xing; Kailing Guo (ACAI, 2021)

Pruning the Unimportant or Redundant Filters? Synergy Makes Better. - Yucheng Cai; Zhuowen Yin; Kailing Guo; Xiangmin Xu (IJCNN, 2021)

Weight Evolution: Improving Deep Neural Networks Training through Evolving Inferior Weight Values. - Zhenquan Lin; Kailing Guo; Xiaofen Xing; Xiangmin Xu (ACM Multimedia, 2021)

Compact Model Training by Low-Rank Projection with Energy Transfer. - Kailing Guo; Zhenquan Lin; Xiaofen Xing; Fang Liu 030; Xiangmin Xu (CoRR, 2022)

Simple-action-guided dictionary learning for complex action recognition. - Fang Liu 030; Xiangmin Xu; Xiaofen Xing; Kailing Guo; Lin Wang 004 (Neurocomputing, 2022)

Cross Range Quantization for Network Compression. - Yicai Yang; Xiaofen Xing; Ming Chen; Kailing Guo; Xiangmin Xu; Fang Liu 030 (IJCNN, 2023)

LAPP: Layer Adaptive Progressive Pruning for Compressing CNNs from Scratch. - Pucheng Zhai; Kailing Guo; Fang Liu 030; Xiaofen Xing; Xiangmin Xu (CoRR, 2023)

Dynamic Shuffle: An Efficient Channel Mixture Method. - Kaijun Gong; Zhuowen Yin; Yushu Li; Kailing Guo; Xiangmin Xu (CoRR, 2023)

Enhanced discriminative global-local feature learning with priority for facial expression recognition. - Ziyang Zhang; Xiang Tian 003; Yuan Zhang; Kailing Guo; Xiangmin Xu (Inf. Sci., 2023)

Reflective Learning With Label Noise. - Lin Wang 004; Xiangmin Xu; Kailing Guo; Bolun Cai; Fang Liu 030 (IEEE Trans. Circuits Syst. Video Technol., 2023)

SCC-Conv: A Novel Convolution with Spatial-Channel Cheap Operation for Single Image Super-Resolution. - Yin Huang; Ziyang Zhang; Kailing Guo; Xiangmin Xu (ICMLC, 2024)

Reference-based Video Colorization with AB Chrominance Point and Temporal Propagation. - Yizhang Yang; Jianxiu Jin; Ying Huang; Kailing Guo; Xiangmin Xu (ICMLC, 2024)

Local Reactivation for Communication Efficient Federated Learning Based on Sparse Gradient Deviation. - Chang Mu; Ziyang Zhang; Xiang Tian 003; Kailing Guo; Xiangmin Xu (PRCV (4), 2024)

GUS-IR: Gaussian Splatting with Unified Shading for Inverse Rendering. - Zhihao Liang; Hongdong Li; Kui Jia; Kailing Guo; Qi Zhang 029 (CoRR, 2024)

Shared Attention-based Autoencoder with Hierarchical Fusion-based Graph Convolution Network for sEEG SOZ Identification. - Huachao Yan; Kailing Guo; Shiwei Song; Yihai Dai; Xiaoqiang Wei; Xiaofen Xing; Xiangmin Xu (CoRR, 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)

Label-Guided Dynamic Spatial-Temporal Fusion for Video-Based Facial Expression Recognition. - Ziyang Zhang; Xiang Tian 003; Yuan Zhang; Kailing Guo; Xiangmin Xu (IEEE Trans. Multim., 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., 2024)

Boosting Cross-Domain Point Classification via Distilling Relational Priors From 2D Transformers. - Longkun Zou; Wanru Zhu; Ke Chen 004; Lihua Guo; Kailing Guo; Kui Jia; Yaowei Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Facial expression recognition based on multi-task self-distillation with coarse and fine grained labels. - Ziyang Zhang; Xu Li; Kailing Guo; Xiangmin Xu (Expert Syst. Appl., 2025)

Tensor self-representation network for subspace clustering via alternating direction method of multipliers. - Ming Chen; Kailing Guo; Xiangmin Xu (Knowl. Based Syst., 2025)

DCPTalk: Speech-Driven 3D Face Animation With Personalized Facial Dynamic Coupling Properties. - Zhaojie Chu; Kailing Guo; Xiaofen Xing; Pengsheng Liu; Bolun Cai; Xiangmin Xu (IEEE Trans. Multim., 2025)

Understanding Attention Mechanism in Video Diffusion Models. - Bingyan Liu; Chengyu Wang 001; Tongtong Su; Huan Ten; Jun Huang 007; Kailing Guo; Kui Jia (CoRR, 2025)

Compact Model Training by Low-Rank Projection With Energy Transfer. - Kailing Guo; Zhenquan Lin; Canyang Chen; Xiaofen Xing; Fang Liu 030; Xiangmin Xu (IEEE Trans. Neural Networks Learn. Syst., 2025)

CLIP-Vision Guided Few-Shot Metal Surface Defect Recognition. - Tianlei Wang; Zeliang Li; Ying Xu; Yikui Zhai; Xiaofen Xing; Kailing Guo; Pasquale Coscia; Angelo Genovese; Vincenzo Piuri; Fabio Scotti (IEEE Trans. Ind. Informatics, 2025)

AhaKV: Adaptive Holistic Attention-Driven KV Cache Eviction for Efficient Inference of Large Language Models. - Yifeng Gu; Zicong Jiang; Jianxiu Jin; Kailing Guo; Ziyang Zhang; Xiangmin Xu (CoRR, 2025)

Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition. - Longkun Zou; Kangjun Liu; Ke Chen 004; Kailing Guo; Kui Jia; Yaowei Wang 001 (CoRR, 2025)