Robust Spatial Data Hiding for Color Images. - Xiaoqiang Li 002; Xiangyang Xue 001; Wei Li 012 (Communications and Multimedia Security, 2003)

An Optimized Multi-bits Blind Watermarking Scheme. - Xiaoqiang Li 002; Xiangyang Xue 001; Wei Li 012 (ICICS, 2003)

Multi-channel Data Hiding Scheme for Color Images. - Xiaoqiang Li 002; Zhiyan Du; Wei Li 012; Peizhong Lu; Xiangyang Xue 001 (ITCC, 2003)

A Novel Feature-Based Robust Audio Watermarking for Copyright Protection. - Wei Li 012; Xiangyang Xue 001; Xiaoqiang Li 002; Peizhong Lu (ITCC, 2003)

Audio Watermarking Based on Statistical Feature in Wavelet Domain. - Wei Li 012; Xiangyang Xue 001; Xiaoqiang Li 002 (WWW (Posters), 2003)

Improved Robust Watermarking in DCT Domain for Color Images. - Xiaoqiang Li 002; Xiangyang Xue 001 (AINA (1), 2004)

Audio Quality-Based Authentication Using Wavelet Packet Decomposition and Best Tree Selection. - Fang Chen; Wei Li 012; Xiaoqiang Li 002 (IIH-MSP, 2008)

A Robust Mesh Watermarking Scheme Based on PCA. - Bin Yang; Xiaoqiang Li 002; Wei Li 012 (ICIG, 2009)

Automatic tongue image segmentation based on histogram projection and matting. - Xiaoqiang Li 002; Jide Li; Dan Wang 013 (BIBM, 2014)

A new unsupervised model of action recognition. - Dan Wang 013; Qing Shao; Xiaoqiang Li 002 (ICIP, 2015)

SIFT-based local spectrogram image descriptor: a novel feature for robust music identification. - Xiu Zhang; Bilei Zhu; Linwei Li; Wei Li 012; Xiaoqiang Li 002; Wei Wang; Peizhong Lu; Wenqiang Zhang (EURASIP J. Audio Speech Music. Process., 2015)

Geometric and Tongue-Mouth Relation Features for Morphology Analysis of Tongue Body. - Qing Cui; Xiaoqiang Li 002; Jide Li; Yin Zhang (PCM (2), 2016)

Representation for Action Recognition Using Trajectory-Based Low-Level Local Feature and Mid-Level Motion Feature. - Xiaoqiang Li 002; Dan Wang 013; Yin Zhang (Appl. Comput. Intell. Soft Comput., 2017)

Mining Key Skeleton Poses with Latent SVM for Action Recognition. - Xiaoqiang Li 002; Yi Zhang; Dong Liao (Appl. Comput. Intell. Soft Comput., 2017)

Automated Tongue Segmentation in Chinese Medicine Based on Deep Learning. - Yushan Xue; Xiaoqiang Li 002; Pin Wu; Jide Li; Lu Wang; Weiqin Tong (ICONIP (7), 2018)

Image-into-Image Steganography Using Deep Convolutional Network. - Pin Wu; Yang Yang 043; Xiaoqiang Li 002 (PCM (2), 2018)

Cracked Tongue Recognition Based on Deep Features and Multiple-Instance SVM. - Yushan Xue; Xiaoqiang Li 002; Qing Cui; Lu Wang; Pin Wu (PCM (2), 2018)

StegNet: Mega Image Steganography Capacity with Deep Convolutional Network. - Pin Wu; Yang Yang 043; Xiaoqiang Li 002 (Future Internet, 2018)

TDCC: Top-Down Semantic Aggregation for Color Constancy. - Xiaoqiang Li 002; Yaqin Zhu; Jiayue Han; Jide Li; Weiqin Tong (ICME, 2019)

Tongue Coating Classification Based on Multiple-Instance Learning and Deep Features. - Xiaoqiang Li 002; Yonghui Tang; Yue Sun (ICONIP (4), 2019)

A Survey on Natural Image Matting With Closed-Form Solutions. - Xiaoqiang Li 002; Jide Li; Hong Lu (IEEE Access, 2019)

Bigdata logs analysis based on seq2seq networks for cognitive Internet of Things. - Pin Wu; Zhihui Lu 002; Quan Zhou; Zhidan Lei; Xiaoqiang Li 002; Meikang Qiu; Patrick C. K. Hung (Future Gener. Comput. Syst., 2019)

Tooth-Marked Tongue Recognition Using Gradient-Weighted Class Activation Maps. - Yue Sun; Songmin Dai; Jide Li; Yin Zhang; Xiaoqiang Li 002 (Future Internet, 2019)

TDCC: top-down semantic aggregation for colour constancy. - Xiaoqiang Li 002; Yaqin Zhu; Jiayue Han; Jide Li; Huicheng Lian; Weiqin Tong (IET Image Process., 2019)

Parallel accelerated matting method based on local learning. - Xiaoqiang Li 002; Jide Li; Pin Wu; Huicheng Lian; Weiqin Tong (Neurocomputing, 2019)

Unsupervised Tongue Segmentation Using Reference Labels. - Kequan Yang; Jide Li; Xiaoqiang Li 002 (ICONIP (1), 2020)

UCCTGAN: Unsupervised Clothing Color Transformation Generative Adversarial Network. - Shuming Sun; Xiaoqiang Li 002; Jide Li (ICPR, 2020)

Spatial-Temporal Knowledge Integration: Robust Self-Supervised Facial Landmark Tracking. - Congcong Zhu; Xiaoqiang Li 002; Jide Li; Guangtai Ding; Weiqin Tong (ACM Multimedia, 2020)

Dive Into Deep Learning Based Automatic Modulation Classification: A Disentangled Approach. - Xiaolei Shang; Honglin Hu; Xiaoqiang Li 002; Tianheng Xu; Ting Zhou (IEEE Access, 2020)

Portfolio Learning Based on Deep Learning. - Wei Pan; Jide Li; Xiaoqiang Li 002 (Future Internet, 2020)

BASN - Learning Steganography with a Binary Attention Mechanism. - Pin Wu; Xuting Chang; Yang Yang 043; Xiaoqiang Li 002 (Future Internet, 2020)

Scale specified single shot multibox detector. - Xiaoqiang Li 002; Chuanwei Liu; Songmin Dai; Huichen Lian; Guangtai Ding (IET Comput. Vis., 2020)

Dual attention convolutional network for action recognition. - Xiaoqiang Li 002; Miao Xie; Yin Zhang; Guangtai Ding; Weiqin Tong (IET Image Process., 2020)

Robust landmark-free head pose estimation by learning to crop and background augmentation. - Aoru Xue; Kai Sheng; Songmin Dai; Xiaoqiang Li 002 (IET Image Process., 2020)

Multi-scale temporal feature-based dense convolutional network for action recognition. - Xiaoqiang Li 002; Miao Xie; Yin Zhang; Jide Li (J. Electronic Imaging, 2020)

Improving Robustness of Facial Landmark Detection by Defending against Adversarial Attacks. - Congcong Zhu; Xiaoqiang Li 002; Jide Li; Songmin Dai (ICCV, 2021)

Research on Multiple-Instance Learning for Tongue Coating Classification. - Yonghui Tang; Yue Sun; John Y. Chiang; Xiaoqiang Li 002 (IEEE Access, 2021)

Unsupervised Learning of Multi-level Structures for Anomaly Detection. - Songmin Dai; Jide Li; Lu Wang; Congcong Zhu; Yifan Wu 011; Xiaoqiang Li 002 (CoRR, 2021)

Point cloud super-resolution based on geometric constraints. - Xiaoqiang Li 002; Jitao Liu; Songmin Dai (IET Comput. Vis., 2021)

Occlusion-robust Face Alignment using A Viewpoint-invariant Hierarchical Network Architecture. - Congcong Zhu; Xintong Wan; Shaorong Xie; Xiaoqiang Li 002; Yinzheng Gu (CVPR, 2022)

PCCN-RE: Point cloud colourisation network based on relevance embedding. - Feiran Wang; Xiaoqiang Li 002; Jitao Liu (IET Comput. Vis., 2022)

Robust age estimation model using group-aware contrastive learning. - Xiaoqiang Li 002; Chengyu Guo; Yifan Wu 011; Congcong Zhu; Jide Li (IET Image Process., 2022)

Fast and accurate concealed dangerous object detection for millimeter-wave images. - Xiaoqiang Li 002; Kequan Yang; Xinlong Fan; Liangpeng Hu; Jide Li (J. Electronic Imaging, 2022)

Reasoning structural relation for occlusion-robust facial landmark localization. - Congcong Zhu; Xiaoqiang Li 002; Jide Li; Songmin Dai; Weiqin Tong (Pattern Recognit., 2022)

Adaptive Online Mutual Learning Bi-Decoders for Video Object Segmentation. - Pinxue Guo; Wei Zhang 016; Xiaoqiang Li 002; Wenqiang Zhang (IEEE Trans. Image Process., 2022)

OEST: Outlier Exposure by Simple Transformations for Out-of-Distribution Detection. - Yifan Wu 011; Songmin Dai; Dengye Pan; Xiaoqiang Li 002 (ICIP, 2023)

A Spatio-temporal Adaptive Personalized Meta-recommender for Next Location. - Jie Chen; Tong Liu 001; Yanmin Zhu 006; Ruiyuan Li; Xiaoqiang Li 002 (ICTAI, 2023)

Hierarchical Semantic Contrast for Weakly Supervised Semantic Segmentation. - Yuanchen Wu; Xiaoqiang Li 002; Songmin Dai; Jide Li; Tong Liu 001; Shaorong Xie (IJCAI, 2023)

Active Negative Loss Functions for Learning with Noisy Labels. - Xichen Ye; Xiaoqiang Li 002; Songmin Dai; Tong Liu 001; Yan Sun; Weiqin Tong (NeurIPS, 2023)

Multiscale features integration based multiple-in-single-out network for object detection. - Kequan Yang; Jide Li; Songmin Dai; Xiaoqiang Li 002 (Image Vis. Comput., 2023)

Multi-Sourced Knowledge Integration for Robust Self-Supervised Facial Landmark Tracking. - Congcong Zhu; Xiaoqiang Li 002; Jide Li; Songmin Dai; Weiqin Tong (IEEE Trans. Multim., 2023)

Semi-supervised GAN with similarity constraint for mode diversity. - Xiaoqiang Li 002; Yinxiang Luan; Liangbo Chen (Appl. Intell., 2023)

Deep Reinforcement Learning Based Approach for Online Service Placement and Computation Resource Allocation in Edge Computing. - Tong Liu 001; Shenggang Ni; Xiaoqiang Li 002; Yanmin Zhu 006; Linghe Kong; Yuanyuan Yang 001 (IEEE Trans. Mob. Comput., 2023)

Effective Local-Global Transformer for Natural Image Matting. - Liangpeng Hu; Yating Kong; Jide Li; Xiaoqiang Li 002 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Semi-supervised medical imaging segmentation with soft pseudo-label fusion. - Xiaoqiang Li 002; Yuanchen Wu; Songmin Dai (Appl. Intell., 2023)

Generating and Reweighting Dense Contrastive Patterns for Unsupervised Anomaly Detection. - Songmin Dai; Yifan Wu 011; Xiaoqiang Li 002; Xiangyang Xue 001 (AAAI, 2024)

DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation. - Yuanchen Wu; Xichen Ye; Kequan Yang; Jide Li; Xiaoqiang Li 002 (CVPR, 2024)

DINO is Also a Semantic Guider: Exploiting Class-aware Affinity for Weakly Supervised Semantic Segmentation. - Yuanchen Wu; Xiaoqiang Li 002; Jide Li; Kequan Yang; Pinpin Zhu; Shaohua Zhang (ACM Multimedia, 2024)

Active Negative Loss: A Robust Framework for Learning with Noisy Labels. - Xichen Ye; Yifan Wu 011; Yiwen Xu; Xiaoqiang Li 002; Weizhong Zhang; Yifan Chen 004 (CoRR, 2024)

Revisiting Energy-Based Model for Out-of-Distribution Detection. - Yifan Wu 011; Xichen Ye; Songmin Dai; Dengye Pan; Xiaoqiang Li 002; Weizhong Zhang; Yifan Chen 004 (CoRR, 2024)

Color subspace exploring for natural image matting. - Yating Kong; Jide Li; Liangpeng Hu; Xiaoqiang Li 002 (IET Image Process., 2024)

Camouflaged Object Detection via Complementary Information-Selected Network Based on Visual and Semantic Separation. - Chao Yin 001; Kequan Yang; Jide Li; Xiaoqiang Li 002; Yifan Wu 011 (IEEE Trans. Ind. Informatics, 2024)

Optimized Gradient Clipping for Noisy Label Learning. - Xichen Ye; Yifan Wu 011; Weizhong Zhang; Xiaoqiang Li 002; Yifan Chen 004; Cheng Jin 001 (AAAI, 2025)

AgentMatting: Boosting context aggregation for image matting with context agent. - Jide Li; Kequan Yang; Chao Yin 001; Xiaoqiang Li 002 (Expert Syst. Appl., 2025)

Mutual learning with discrepancy for weakly supervised object detection. - Kequan Yang; Xichen Ye; Yuanchen Wu; Jide Li; Xiaoqiang Li 002; Pinpin Zhu (Expert Syst. Appl., 2025)

PrioMatch: Semi-supervised learning guided by prior knowledge. - Jiaquan Wang; Yuqing Zou; Yuanchen Wu; Xiaoqiang Li 002 (Neurocomputing, 2025)

Dual region mutual enhancement network for camouflaged object detection. - Chao Yin 001; Xiaoqiang Li 002 (Image Vis. Comput., 2025)

ProxyMatting: Transformer-based image matting via region proxy. - Jide Li; Kequan Yang; Yuanchen Wu; Xichen Ye; Hanqi Yang; Xiaoqiang Li 002 (Knowl. Based Syst., 2025)

Pseudo-label enhancement for weakly supervised object detection using self-supervised vision transformer. - Kequan Yang; Yuanchen Wu; Jide Li; Chao Yin 001; Xiaoqiang Li 002 (Knowl. Based Syst., 2025)

Self-supervised video object segmentation via pseudo label rectification. - Pinxue Guo; Wei Zhang 016; Xiaoqiang Li 002; Jianping Fan 007; Wenqiang Zhang (Pattern Recognit., 2025)

Stepwise Decomposition and Dual-stream Focus: A Novel Approach for Training-free Camouflaged Object Segmentation. - Chao Yin 001; Hao Li; Kequan Yang; Jide Li; Pinpin Zhu; Xiaoqiang Li 002 (CoRR, 2025)

See Different, Think Better: Visual Variations Mitigating Hallucinations in LVLMs. - Ziyun Dai; Xiaoqiang Li 002; Shaohua Zhang; Yuanchen Wu; Jide Li (CoRR, 2025)

Shallow Features Matter: Hierarchical Memory with Heterogeneous Interaction for Unsupervised Video Object Segmentation. - Xiangyu Zheng; Songcheng He; Wanyun Li; Xiaoqiang Li 002; Wei Zhang 016 (CoRR, 2025)

A Simple yet Powerful Instance-Aware Prompting Framework for Training-free Camouflaged Object Segmentation. - Chao Yin 001; Jide Li; Xiaoqiang Li 002 (CoRR, 2025)