A novel weight-based URQ scheme for perceptual video coding of conversational video in HEVC. - Shengxi Li; Mai Xu; Xin Deng 002; Zulin Wang (ICME, 2014)

Complexity control of HEVC based on region-of-interest attention model. - Xin Deng 002; Mai Xu; Shengxi Li; Zulin Wang (VCIP, 2014)

Region-of-Interest Based Conversational HEVC Coding with Hierarchical Perception Model of Face. - Mai Xu; Xin Deng 002; Shengxi Li; Zulin Wang (IEEE J. Sel. Top. Signal Process., 2014)

Compressibility Constrained Sparse Representation With Learnt Dictionary for Low Bit-Rate Image Compression. - Mai Xu; Shengxi Li; Jianhua Lu; Wenwu Zhu 001 (IEEE Trans. Circuits Syst. Video Technol., 2014)

Multispectral Image Classification Using a New Bayesian Approach with Weighted Markov Random Fields. - Shengxi Li; Ying Wang 007; Jie Li 001; Xinbo Gao 001 (CCCV (1), 2015)

A novel method on optimal bit allocation at LCU level for rate control in HEVC. - Shengxi Li; Mai Xu; Zulin Wang (ICME, 2015)

Weight-based R-λ rate control for perceptual HEVC coding on conversational videos. - Shengxi Li; Mai Xu; Xin Deng 002; Zulin Wang (Signal Process. Image Commun., 2015)

Optimizing Subjective Quality in HEVC-MSP: An Approximate Closed-form Image Compression Approach. - Shengxi Li; Mai Xu; Yun Ren; Chengzhang Ma; Zulin Wang (DCC, 2016)

Learning Dynamic GMM for Attention Distribution on Single-Face Videos. - Yun Ren; Zulin Wang; Mai Xu; Haoyu Dong; Shengxi Li (CVPR Workshops, 2017)

Watching Videos with Certain and Constant Quality: PID-Based Quality Control Method. - Yuhang Song 001; Mai Xu; Shengxi Li (DCC, 2017)

A novel rate control scheme for panoramic video coding. - Yufan Liu 001; Mai Xu; Chen Li 049; Shengxi Li; Zulin Wang (ICME, 2017)

Optimal Bit Allocation for CTU Level Rate Control in HEVC. - Shengxi Li; Mai Xu; Zulin Wang; Xiaoyan Sun 001 (IEEE Trans. Circuits Syst. Video Technol., 2017)

A universal framework for learning based on the elliptical mixture model (EMM). - Shengxi Li; Zeyang Yu; Danilo P. Mandic (CoRR, 2018)

Closed-Form Optimization on Saliency-Guided Image Compression for HEVC-MSP. - Shengxi Li; Mai Xu; Yun Ren; Zulin Wang (IEEE Trans. Multim., 2018)

Enhanced Normalized Mean Error loss for Robust Facial Landmark detection. - Shenqi Lai; Zhenhua Chai; Shengxi Li; Huanhuan Meng; Mengzhao Yang; Xiaoming Wei (BMVC, 2019)

Widely Linear Complex-Valued Autoencoder: Dealing with Noncircularity in Generative-Discriminative Models. - Zeyang Yu; Shengxi Li; Danilo P. Mandic (ICANN (1), 2019)

Tracking Dynamic Systems in α-Stable Environments. - Sayed Pouria Talebi; Stefan Werner 001; Shengxi Li; Danilo P. Mandic (ICASSP, 2019)

A Progressive Learning Framework for Unconstrained Face Recognition. - Zhenhua Chai; Shengxi Li; Huanhuan Meng; Shenqi Lai; Xiaoming Wei; Jianwei Zhang (ICCV Workshops, 2019)

A general solver to the elliptical mixture model through an approximate Wasserstein manifold. - Shengxi Li; Zeyang Yu; Min Xiang; Danilo P. Mandic (CoRR, 2019)

Optimal Bit Allocation at Frame Level for Rate Control in HEVC. - Hongwei Guo 001; Ce Zhu; Shengxi Li; Yanbo Gao (IEEE Trans. Broadcast., 2019)

Solving General Elliptical Mixture Models through an Approximate Wasserstein Manifold. - Shengxi Li; Zeyang Yu; Min Xiang; Danilo P. Mandic (AAAI, 2020)

MRS-Net: Multi-Scale Recurrent Scalable Network for Face Quality Enhancement of Compressed Videos. - Tie Liu; Mai Xu; Shengxi Li; Rui Ding; Huaida Liu (ACM Multimedia, 2020)

Reciprocal Adversarial Learning via Characteristic Functions. - Shengxi Li; Zeyang Yu; Min Xiang; Danilo P. Mandic (NeurIPS, 2020)

Graph Signal Processing - Part III: Machine Learning on Graphs, from Graph Topology to Applications. - Ljubisa Stankovic; Danilo P. Mandic; Milos Dakovic; Milos Brajovic; Bruno Scalzo; Shengxi Li; Anthony G. Constantinides (CoRR, 2020)

Meta-learning for Multi-variable Non-convex Optimization Problems: Iterating Non-optimums Makes Optimum Possible. - Jingyuan Xia; Shengxi Li; Jun-Jie Huang 001; Imad M. Jaimoukha; Xinwang Liu 002 (CoRR, 2020)

Data Analytics on Graphs Part I: Graphs and Spectra on Graphs. - Ljubisa Stankovic; Danilo P. Mandic; Milos Dakovic; Milos Brajovic; Bruno Scalzo; Shengxi Li; Anthony G. Constantinides (Found. Trends Mach. Learn., 2020)

Data Analytics on Graphs Part II: Signals on Graphs. - Ljubisa Stankovic; Danilo P. Mandic; Milos Dakovic; Milos Brajovic; Bruno Scalzo; Shengxi Li; Anthony G. Constantinides (Found. Trends Mach. Learn., 2020)

Data Analytics on Graphs Part III: Machine Learning on Graphs, from Graph Topology to Applications. - Ljubisa Stankovic; Danilo P. Mandic; Milos Dakovic; Milos Brajovic; Bruno Scalzo; Shengxi Li; Anthony G. Constantinides (Found. Trends Mach. Learn., 2020)

Kernel Learning with Tensor Networks. - Kriton Konstantinidis; Shengxi Li; Danilo P. Mandic (ICASSP, 2021)

Synergetic application of E-tongue and E-eye based on deep learning to discrimination of Pu-erh tea storage time. - Zhengwei Yang; Jiyong Gao; Shoucheng Wang; Zhiqiang Wang; Caihong Li; Yubin Lan; Xia Sun; Shengxi Li (Comput. Electron. Agric., 2021)

A Universal Framework for Learning the Elliptical Mixture Model. - Shengxi Li; Zeyang Yu; Danilo P. Mandic (IEEE Trans. Neural Networks Learn. Syst., 2021)

Does text attract attention on e-commerce images: A novel saliency prediction dataset and method. - Lai Jiang; Yifei Li; Shengxi Li; Mai Xu; Se Lei; Yichen Guo; Bo Huang (CVPR, 2022)

Low-Complexity Attention Modelling via Graph Tensor Networks. - Yao Lei Xu; Kriton Konstantinidis; Shengxi Li; Ljubisa Stankovic; Danilo P. Mandic (ICASSP, 2022)

A Learning-based Approach for Martian Image Compression. - Qing Ding; Mai Xu; Shengxi Li; Xin Deng 002; Qiu Shen; Xin Zou (VCIP, 2022)

Demystifying CNNs for Images by Matched Filters. - Shengxi Li; Xinyi Zhao; Ljubisa Stankovic; Danilo P. Mandic (CoRR, 2022)

MRS-Net+ for Enhancing Face Quality of Compressed Videos. - Tie Liu; Mai Xu; Shengxi Li; Rui Ding; Huaida Liu (IEEE Trans. Circuits Syst. Video Technol., 2022)

Learnt Mutual Feature Compression for Machine Vision. - Tie Liu; Mai Xu; Shengxi Li; Chaoran Chen; Li Yang 014; Zhuoyi Lv (ICASSP, 2023)

Neural Characteristic Function Learning for Conditional Image Generation. - Shengxi Li; Jialu Zhang; Yifei Li; Mai Xu; Xin Deng 002; Li Li (ICCV, 2023)

Residual based hierarchical feature compression for multi-task machine vision. - Chaoran Chen; Mai Xu; Shengxi Li; Tie Liu; Minglang Qiao; Zhuoyi Lv (ICME, 2023)

Optimizing DNN based quality assessment metric for image compression: A novel rate control method. - Qiuyue Fang; Tao Xu; Lai Jiang; Shengxi Li; Mai Xu; Yunjin Chen; Leonid Sigal (ICME, 2023)

Predicting the Invariance Behind Residuals: A Novel GAN Inversion Method for Image Editing and Detail Retaining. - Zhimo Yan; Jinfeng Xu; Hengyang He; Shengxi Li; Ren Yang; Mai Xu; Ce Zhu (MMSP, 2023)

Learned Structure-Based Hybrid Framework for Martian Image Compression. - Shengxi Li; Xiancheng Sun; Mai Xu; Lai Jiang; Xin Zou (IEEE Geosci. Remote. Sens. Lett., 2023)

Reciprocal GAN Through Characteristic Functions (RCF-GAN). - Shengxi Li; Zeyang Yu; Min Xiang; Danilo P. Mandic (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Interpretable Multi-Modal Image Registration Network Based on Disentangled Convolutional Sparse Coding. - Xin Deng 002; Enpeng Liu; Shengxi Li; Yiping Duan; Mai Xu (IEEE Trans. Image Process., 2023)

Blind VQA on 360° Video via Progressively Learning From Pixels, Frames, and Video. - Li Yang 014; Mai Xu; Shengxi Li; Yichen Guo; Zulin Wang (IEEE Trans. Image Process., 2023)

Metalearning-Based Alternating Minimization Algorithm for Nonconvex Optimization. - Jingyuan Xia; Shengxi Li; Junjie Huang 001; Zhixiong Yang 001; Imad M. Jaimoukha; Deniz Gündüz (IEEE Trans. Neural Networks Learn. Syst., 2023)

Von Mises-Fisher Elliptical Distribution. - Shengxi Li; Danilo P. Mandic (IEEE Trans. Neural Networks Learn. Syst., 2023)

Enhancing Quality of Compressed Images by Mitigating Enhancement Bias Towards Compression Domain. - Qunliang Xing; Mai Xu; Shengxi Li; Xin Deng 002; Meisong Zheng; Huaida Liu; Ying Chen 011 (CVPR, 2024)

A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution. - Zhixiong Yang 001; Jingyuan Xia; Shengxi Li; Xinghua Huang; Shuanghui Zhang; Zhen Liu 004; Yaowen Fu; Yongxiang Liu (CVPR, 2024)

Saliency Prediction of Sports Videos: A Large-Scale Database and a Self-Adaptive Approach. - Minglang Qiao; Mai Xu; Shijie Wen; Lai Jiang; Shengxi Li; Tao Xu; Yunjin Chen; Leonid Sigal (ICASSP, 2024)

Hybrid Single Input and Multiple Output Method For Compressing Features Towards Machine Vision Tasks. - Zifu Zhang; Shengxi Li; Tie Liu; Mai Xu; Tao Xu; Zhenyu Guan; Zhuoyi Lv (ICIP, 2024)

QVD: Post-training Quantization for Video Diffusion Models. - Shilong Tian; Hong Chen 014; Chengtao Lv; Yu Liu 031; Jinyang Guo; Xianglong Liu 001; Shengxi Li; Hao Yang; Tao Xie (ACM Multimedia, 2024)

Causal Context Adjustment Loss for Learned Image Compression. - Minghao Han; Shiyin Jiang; Shengxi Li; Xin Deng 002; Mai Xu; Ce Zhu; Shuhang Gu (NeurIPS, 2024)

MT-VQA: A Multi-task Approach for Quality Assessment of Short-form Videos. - Shijie Wen; Minglang Qiao; Lai Jiang; Mai Xu; Xin Deng 002; Shengxi Li (QoEVMA@MM, 2024)

A Novel Patch Selection Approach for Quality Assessment on Short-Form Videos. - Shijie Wen; Lai Jiang; Minglang Qiao; Mai Xu; Xin Deng 002; Shengxi Li; Yiping Duan (WCSP, 2024)

CF-GO-Net: A Universal Distribution Learner via Characteristic Function Networks with Graph Optimizers. - Zeyang Yu; Shengxi Li; Danilo P. Mandic (CoRR, 2024)

Meta-learning based blind image super-resolution approach to different degradations. - Zhixiong Yang 001; Jingyuan Xia; Shengxi Li; Wende Liu; Shuaifeng Zhi; Shuanghui Zhang; Li Liu 002; Yaowen Fu; Deniz Gündüz (Neural Networks, 2024)

Laplacian Gradient Consistency Prior for Flash Guided Non-Flash Image Denoising. - Jingyi Xu; Xin Deng 002; Chenxiao Zhang; Shengxi Li; Mai Xu (IEEE Trans. Image Process., 2024)

Assessing Face Image Quality: A Large-Scale Database and a Transformer Method. - Tie Liu; Shengxi Li; Mai Xu; Li Yang 014; Xiaofei Wang 004 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Spherical Distortion Temporal Propagation and Spatial Mapping Model for Efficient Panoramic Video Coding. - Xu Yang; Minfeng Huang; Hongwei Guo 001; Shengxi Li; Lei Luo 003; Ce Zhu (IEEE Trans. Broadcast., 2024)

CrossHomo: Cross-Modality and Cross-Resolution Homography Estimation. - Xin Deng 002; Enpeng Liu; Chao Gao; Shengxi Li; Shuhang Gu; Mai Xu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Introduction to the Special Issue on AI-Generated Content for Multimedia. - Shengxi Li; Xuelong Li 001; Leonardo Chiariglione; Jiebo Luo 001; Wenwu Wang 001; Zhengyuan Yang; Danilo P. Mandic; Hamido Fujita (IEEE Trans. Circuits Syst. Video Technol., 2024)

Blind Super-Resolution via Meta-Learning and Markov Chain Monte Carlo Simulation. - Jingyuan Xia; Zhixiong Yang 001; Shengxi Li; Shuanghui Zhang; Yaowen Fu; Deniz Gündüz; Xiang Li 014 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

InstructOCR: Instruction Boosting Scene Text Spotting. - Chen Duan; Qianyi Jiang; Pei Fu; Jiamin Chen; Shengxi Li; Zining Wang; Shan Guo; Junfeng Luo (AAAI, 2025)

Spherical Manifold Guided Diffusion Model for Panoramic Image Generation. - Xiancheng Sun; Mai Xu; Shengxi Li; Senmao Ma; Xin Deng 002; Lai Jiang; Gang Shen (CVPR, 2025)

A multimodal transformer system for noninvasive diabetic nephropathy diagnosis via retinal imaging. - Zheyi Dong; Xiaofei Wang 004; Sai Pan; Taohan Weng; Xiaoniao Chen; Shuangshuang Jiang; Ying Li; Zonghua Wang; Xueying Cao; Qian Wang; Pu Chen; Lai Jiang; et al. (npj Digit. Medicine, 2025)

Patch Inverter: A Novel Block-Wise GAN Inversion Method for Arbitrary Image Resolutions. - Yifei Li; Mai Xu; Shengxi Li; Jialu Zhang; Zhenyu Guan (IEEE Signal Process. Lett., 2025)

Continuous Patch Stitching for Block-Wise Image Compression. - Zifu Zhang; Shengxi Li; Henan Liu; Mai Xu; Ce Zhu (IEEE Signal Process. Lett., 2025)

Spherical Patch Generative Adversarial Net for Unconditional Panoramic Image Generation. - Mai Xu; Xiancheng Sun; Shengxi Li; Lai Jiang; Jingyuan Xia; Xin Deng 002 (IEEE Trans. Image Process., 2025)

MDSC-Net: Multi-Modal Discriminative Sparse Coding Driven RGB-D Classification Network. - Jingyi Xu; Xin Deng 002; Yibing Fu; Mai Xu; Shengxi Li (IEEE Trans. Multim., 2025)

Hierarchical Semantic Compression for Consistent Image Semantic Restoration. - Shengxi Li; Zifu Zhang; Mai Xu; Lai Jiang; Yufan Liu 001; Ce Zhu (CoRR, 2025)

Recruiting Teacher IF Modality for Nephropathy Diagnosis: A Customized Distillation Method With Attention-Based Diffusion Network. - Mai Xu; Ning Dai; Lai Jiang; Yibing Fu; Xin Deng 002; Shengxi Li (IEEE Trans. Medical Imaging, 2025)