Web Cache Replacement Strategy Based on Reference Degree. - Xiaozhou Wu; Hongzhe Xu; Xiaoguang Zhu; Wen Li (SmartCity, 2015)

ADRC Law of Spacecraft Rendezvous and Docking in Final Approach Phase. - Wei Gao; Xiaoguang Zhu; Miaolei Zhou; Qiying Jiang (Cybern. Syst., 2016)

Action Recognition Based on 3D Skeleton and RGB Frame Fusion. - Guiyu Liu; Jiuchao Qian; Fei Wen; Xiaoguang Zhu; Rendong Ying; Peilin Liu (IROS, 2019)

A System Integrating Speech Interaction and Vision Sensing Applying in Smart Home Scenario. - Junyu Dai; Jiuchao Qian; Zheng Tao; Junhong Chen; Xiaoguang Zhu; Huaqing Shao; Zheng Gong; Peilin Liu (ISCAS, 2019)

CD-ABM: Curriculum Design with Attention Branch Model for Person Re-identification. - Junhong Chen; Jiuchao Qian; Xiaoguang Zhu; Fei Wen; Yan Hong; Peilin Liu (PRICAI (3), 2019)

MRNet: A Keypoint Guided Multi-scale Reasoning Network for Vehicle Re-identification. - Minting Pan; Xiaoguang Zhu; Yongfu Li 002; Jiuchao Qian; Peilin Liu (ICONIP (4), 2020)

Curriculum Enhanced Supervised Attention Network for Person Re-Identification. - Xiaoguang Zhu; Jiuchao Qian; Haoyu Wang; Peilin Liu (IEEE Signal Process. Lett., 2020)

Routing Based Context Selection for Document-Level Neural Machine Translation. - Weilun Fei; Ping Jian; Xiaoguang Zhu; Yi Lin (CCMT, 2021)

Uncertainty-Aware Domain Adaptation for Action Recognition. - Xiaoguang Zhu; You Wu; Zhantao Yang; Peilin Liu (ICONIP (3), 2021)

SDAN: Stacked Diverse Attention Network for Video Action Recognition. - Xiaoguang Zhu; Siran Huang; Wenjing Fan; Yuhao Cheng; Huaqing Shao; Peilin Liu (ISCAS, 2021)

Graph-based reasoning attention pooling with curriculum design for content-based image retrieval. - Xiaoguang Zhu; Haoyu Wang; Peilin Liu; Zhantao Yang; Jiuchao Qian (Image Vis. Comput., 2021)

Dark-Aware Network For Fine-Grained Sketch-Based Image Retrieval. - Zhantao Yang; Xiaoguang Zhu; Jiuchao Qian; Peilin Liu (IEEE Signal Process. Lett., 2021)

Learning Task-Specific Representation for Video Anomaly Detection with Spatial-Temporal Attention. - Yang Liu 246; Jing Liu 050; Xiaoguang Zhu; Donglai Wei 002; Xiaohong Huang; Liang Song (ICASSP, 2022)

Learning Appearance-Motion Normality for Video Anomaly Detection. - Yang Liu 246; Jing Liu 050; Mengyang Zhao; Dingkang Yang; Xiaoguang Zhu; Liang Song (ICME, 2022)

Generating Adaptive Targeted Adversarial Examples for Content-Based Image Retrieval. - Jiameng Pan; Xiaoguang Zhu; Peilin Liu (IJCNN, 2022)

Rethinking Saliency Map: An Context-aware Perturbation Method to Explain EEG-based Deep Learning Model. - Hanqi Wang; Xiaoguang Zhu; Tao Chen; Chengfang Li; Liang Song (CoRR, 2022)

MSAF: Multimodal Supervise-Attention Enhanced Fusion for Video Anomaly Detection. - Donglai Wei 002; Yang Liu 246; Xiaoguang Zhu; Jing Liu 050; Xinhua Zeng (IEEE Signal Process. Lett., 2022)

Cross-modal Graph Matching Network for Image-text Retrieval. - Yuhao Cheng; Xiaoguang Zhu; Jiuchao Qian; Fei Wen; Peilin Liu (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Skeleton Sequence and RGB Frame Based Multi-Modality Feature Fusion Network for Action Recognition. - Xiaoguang Zhu; Ye Zhu; Haoyu Wang; Honglin Wen; Yan Yan 002; Peilin Liu (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Learning 3D Human Pose and Shape Estimation Using Uncertainty-Aware Body Part Segmentation. - Ziming Wang; Han Yu; Xiaoguang Zhu; Zengwen Li; Changxue Chen; Liang Song (ICASSP, 2023)

Mutual match for semi-supervised online evolutive learning. - Di Li; Xiaoguang Zhu; Liang Song (Appl. Intell., 2023)

Rethinking Saliency Map: A Context-Aware Perturbation Method to Explain EEG-Based Deep Learning Model. - Hanqi Wang; Xiaoguang Zhu; Tao Chen 003; Chengfang Li; Liang Song (IEEE Trans. Biomed. Eng., 2023)

Distributional and spatial-temporal robust representation learning for transportation activity recognition. - Jing Liu 050; Yang Liu 246; Wei Zhu; Xiaoguang Zhu; Liang Song (Pattern Recognit., 2023)

Supplementing Missing Visions Via Dialog for Scene Graph Generations. - Zhenghao Zhao; Ye Zhu; Xiaoguang Zhu; Yuzhang Shang; Yan Yan 002 (ICASSP, 2024)

Privacy-Preserving Video Anomaly Detection: A Survey. - Jing Liu 050; Yang Liu 246; Xiaoguang Zhu (CoRR, 2024)

Silent EEG classification using cross-fusion adaptive graph convolution network for multilingual neurolinguistic signal decoding. - Chengfang Li; Hanqi Wang; Yang Liu 246; Xiaoguang Zhu; Liang Song (Biomed. Signal Process. Control., 2024)

Co-HSF: Resource-Efficient One-Shot Semi-Supervised Adaptation of Histopathology Foundation Models. - Luca Cerny Oliveira; Kartik Patwari; Xiaoguang Zhu; Sen-Ching S. Cheung; Brittany N. Dugger; Chen-Nee Chuah (AAAI Spring Symposia, 2025)

CRCL: Causal Representation Consistency Learning for Anomaly Detection in Surveillance Videos. - Yang Liu 246; Hongjin Wang; Zepu Wang; Xiaoguang Zhu; Jing Liu 050; Peng Sun 007; Rui Tang; Jianwei Du; Victor C. M. Leung; Liang Song (IEEE Trans. Image Process., 2025)

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems. - Linxiao Gong; Hao Yang; Gaoyun Fang; Bobo Ju; Juncen Guo; Xiaoguang Zhu; Xiping Hu; Yan Wang 068; Peng Sun 007; Azzedine Boukerche (CoRR, 2025)

Feature Calibration enhanced Parameter Synthesis for CLIP-based Class-incremental Learning. - Juncen Guo; Xiaoguang Zhu; Lianlong Sun 001; Liangyu Teng; Di Li; Yang Liu; Liang Song (CoRR, 2025)

Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning. - Juncen Guo; Xiaoguang Zhu; Liangyu Teng; Hao Yang; Jing Liu; Yang Liu; Liang Song (CoRR, 2025)

X-Intelligence 3.0: Training and Evaluating Reasoning LLM for Semiconductor Display. - Xiaolin Yan; Yangxing Liu; Jiazhang Zheng; Chi Liu; Mingyu Du; Caisheng Chen; Haoyang Liu; Ming Ding; Yuan Li; Qiuping Liao; Linfeng Li; Zhili Mei; et al. (CoRR, 2025)