On Design of Oligonucleotide SNP Arrays and Methods for Genotype Calling. - Wenjiang J. Fu; Ming Li 065; Lin Wan; Minghua Deng; Minping Qian (BMEI (1), 2008)

Building Robust Stochastic Configuration Networks with Kernel Density Estimation. - Dianhui Wang 001; Ming Li 065 (CoRR, 2017)

Deep Stochastic Configuration Networks: Universal Approximation and Learning Representation. - Dianhui Wang 001; Ming Li 065 (CoRR, 2017)

Insights into randomized algorithms for neural networks: Practical issues and common pitfalls. - Ming Li 065; Dianhui Wang 001 (Inf. Sci., 2017)

Robust stochastic configuration networks with kernel density estimation for uncertain data regression. - Dianhui Wang 001; Ming Li 065 (Inf. Sci., 2017)

Stochastic Configuration Networks: Fundamentals and Algorithms. - Dianhui Wang 001; Ming Li 065 (IEEE Trans. Cybern., 2017)

Deep Stochastic Configuration Networks with Universal Approximation Property. - Dianhui Wang 001; Ming Li 065 (IJCNN, 2018)

Two Dimensional Stochastic Configuration Networks for Image Data Analytics. - Ming Li 065; Dianhui Wang 001 (CoRR, 2018)

Improved randomized learning algorithms for imbalanced and noisy educational data classification. - Ming Li 065; Changqin Huang; Dianhui Wang 001; Qintai Hu; Jia Zhu 003; Yong Tang 001 (Computing, 2019)

PAN: Path Integral Based Convolution for Deep Graph Neural Networks. - Zheng Ma; Ming Li 065; Yu Guang Wang 001 (CoRR, 2019)

Fast Tensor Needlet Transforms for Tangent Vector Fields on the Sphere. - Ming Li 065; Philip Broadbridge; Andriy Olenko; Yu Guang Wang 001 (CoRR, 2019)

FaVeST: Fast Vector Spherical Harmonic Transforms. - Quoc Thong Le Gia; Ming Li 065; Yu Guang Wang 001 (CoRR, 2019)

HaarPooling: Graph Pooling with Compressive Haar Basis. - Yu Guang Wang 001; Ming Li 065; Zheng Ma; Guido Montúfar; Xiaosheng Zhuang; Yanan Fan (CoRR, 2019)

Robust stochastic configuration networks with maximum correntropy criterion for uncertain data regression. - Ming Li 065; Changqin Huang; Dianhui Wang 001 (Inf. Sci., 2019)

Haar Graph Pooling. - Yuguang Wang 001; Ming Li 065; Zheng Ma; Guido Montúfar; Xiaosheng Zhuang; Yanan Fan (ICML, 2020)

Path Integral Based Convolution and Pooling for Graph Neural Networks. - Zheng Ma; Junyu Xuan; Yu Guang Wang 001; Ming Li 065; Pietro Liò (NeurIPS, 2020)

Multiple Lesions Detection of Fundus Images Based on Convolution Neural Network Algorithm With Improved SFLA. - Weiping Ding 001; Ying Sun; Longjie Ren; Hengrong Ju; Zhihao Feng; Ming Li 065 (IEEE Access, 2020)

Graph Neural Networks with Haar Transform-Based Convolution and Pooling: A Complete Guide. - Xuebin Zheng; Bingxin Zhou; Ming Li 065; Yu Guang Wang 001; Junbin Gao (CoRR, 2020)

On the Approximation Lower Bound for Neural Nets with Random Weights. - Sho Sonoda; Ming Li 065; Feilong Cao; Changqin Huang; Yu Guang Wang 001 (CoRR, 2020)

Exercise recommendation based on knowledge concept prediction. - Zhengyang Wu 001; Ming Li 065; Yong Tang 001; Qingyu Liang (Knowl. Based Syst., 2020)

Fast Haar Transforms for Graph Neural Networks. - Ming Li 065; Zheng Ma; Yu Guang Wang 001; Xiaosheng Zhuang (Neural Networks, 2020)

rcosmo: R Package for Analysis of Spherical, HEALPix and Cosmological Data. - Daniel Vidali Fryer; Ming Li 065; Andriy Olenko (R J., 2020)

Social participation of the elderly in China: The roles of conventional media, digital access and social media engagement. - Tao He 007; Changqin Huang; Ming Li 065; Yuqiong Zhou; Shihua Li (Telematics Informatics, 2020)

Parallel Pathway Convolutional Neural Network with Low-rank Fusion for Brain Age Prediction. - Xinjie Shen; Jiashuang Huang; Ying Sun; Ming Li 065; Bairu Pan; Weiping Ding 001 (DTPI, 2021)

How Framelets Enhance Graph Neural Networks. - Xuebin Zheng; Bingxin Zhou; Junbin Gao; Yuguang Wang 001; Pietro Lió; Ming Li 065; Guido Montúfar (ICML, 2021)

Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming. - Yizhen Zheng; Ming Jin 005; Shirui Pan; Yuan-Fang Li; Hao Peng 001; Ming Li 065; Zhao Li 007 (CoRR, 2021)

Effective multiple pedestrian tracking system in video surveillance with monocular stationary camera. - Zhihui Wang 003; Ming Li 065; Yu Lu 006; Yongtang Bao; Zhe Li 015; Jianli Zhao 002 (Expert Syst. Appl., 2021)

Stochastic configuration network ensembles with selective base models. - Changqin Huang; Ming Li 065; Dianhui Wang 001 (Neural Networks, 2021)

2-D Stochastic Configuration Networks for Image Data Analytics. - Ming Li 065; Dianhui Wang 001 (IEEE Trans. Cybern., 2021)

Algorithm 1018: FaVeST - Fast Vector Spherical Harmonic Transforms. - Quoc Thong Le Gia; Ming Li 065; Yu Guang Wang 001 (ACM Trans. Math. Softw., 2021)

Deeper Insights into Neural Nets with Random Weights. - Ming Li 065; Giorgio Gnecco; Marcello Sanguineti (AI, 2022)

Feedforward Neural Network Reconstructed from High-order Quantum Systems. - Junwei Zhang 009; Zhao Li 007; Hao Peng 001; Ming Li 065; Xiaofen Wang (IJCNN, 2022)

Neural Network Model Reconstructed from Entangled Quantum States. - Junwei Zhang 009; Zhao Li 007; Jianmao Xiao; Ming Li 065 (IJCNN, 2022)

Multi-view graph convolutional networks with attention mechanism. - Kaixuan Yao; Jiye Liang; Jianqing Liang; Ming Li 065; Feilong Cao (Artif. Intell., 2022)

Promoting deep writing with immersive technologies: An SVVR-supported Chinese composition writing approach for primary schools. - Yuting Chen; Ming Li 065; Chang-Qin Huang; Zhongmei Han; Gwo-Jen Hwang; Gang Yang (Br. J. Educ. Technol., 2022)

HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification. - Lu Bai 001; Lixin Cui; Yue Wang 014; Ming Li 065; Edwin R. Hancock (CoRR, 2022)

Deep multi-graph neural networks with attention fusion for recommendation. - Yuzhi Song; Hailiang Ye; Ming Li 065; Feilong Cao (Expert Syst. Appl., 2022)

Parallel incremental efficient attribute reduction algorithm based on attribute tree. - Weiping Ding 001; Tingzhen Qin; Xinjie Shen; Hengrong Ju; Haipeng Wang; Jiashuang Huang; Ming Li 065 (Inf. Sci., 2022)

Embedding graphs on Grassmann manifold. - Bingxin Zhou; Xuebin Zheng; Yu Guang Wang 001; Ming Li 065; Junbin Gao (Neural Networks, 2022)

Empowering IoT Predictive Maintenance Solutions With AI: A Distributed System for Manufacturing Plant-Wide Monitoring. - Yuehua Liu; Wenjin Yu; Tharam S. Dillon; Wenny Rahayu; Ming Li 065 (IEEE Trans. Ind. Informatics, 2022)

How Powerful are Shallow Neural Networks with Bandlimited Random Weights? - Ming Li 065; Sho Sonoda; Feilong Cao; Yu Guang Wang 001; Jiye Liang (ICML, 2023)

A Global-and-Local Feature Fusion Network for Point Cloud Classification. - Xinhong Meng; Meng Hu; Hailiang Ye; Ming Li 065; Feilong Cao (ICMLC, 2023)

Stability and Generalization of lp-Regularized Stochastic Learning for GCN. - Shiyu Liu; Linsen Wei; Shaogao Lv; Ming Li 065 (IJCAI, 2023)

AERK: Aligned Entropic Reproducing Kernels through Continuous-time Quantum Walks. - Lixin Cui; Ming Li 065; Yue Wang 014; Lu Bai 001; Edwin R. Hancock (CoRR, 2023)

A Feature Reuse Framework with Texture-adaptive Aggregation for Reference-based Super-Resolution. - Xiaoyong Mei; Yi Yang; Ming Li 065; Changqin Huang; Kai Zhang; Pietro Lió (CoRR, 2023)

TeFNA: Text-centered fusion network with crossmodal attention for multimodal sentiment analysis. - Changqin Huang; Junling Zhang; Xuemei Wu; Yi Wang 022; Ming Li 065; Xiaodi Huang (Knowl. Based Syst., 2023)

A disentangled linguistic graph model for explainable aspect-based sentiment analysis. - Xiaoyong Mei; Yougen Zhou; Chenjing Zhu; Mengting Wu; Ming Li 065; Shirui Pan (Knowl. Based Syst., 2023)

MathNet: Haar-like wavelet multiresolution analysis for graph representation learning. - Xuebin Zheng; Bingxin Zhou; Ming Li 065; Yu Guang Wang 001; Junbin Gao (Knowl. Based Syst., 2023)

Revisiting graph neural networks from hybrid regularized graph signal reconstruction. - Jiaxing Miao; Feilong Cao; Hailiang Ye; Ming Li 065; Bing Yang (Neural Networks, 2023)

GoLoG: Global-to-Local Decoupling Graph Network With Joint Optimization for Hyperspectral Image Classification. - Bing Yang; Hailiang Ye; Ming Li 065; Feilong Cao; Shirui Pan (IEEE Trans. Geosci. Remote. Sens., 2023)

Are Graph Convolutional Networks With Random Weights Feasible? - Changqin Huang; Ming Li 065; Feilong Cao; Hamido Fujita; Zhao Li 007; Xindong Wu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Privacy-preserving federated learning framework in multimedia courses recommendation. - Yangjie Qin; Ming Li 065; Jia Zhu 003 (Wirel. Networks, 2023)

Multiple Pedestrian Tracking With Graph Attention Map on Urban Road Scene. - Zhihui Wang 003; Zhiyuan Li 013; Jiaxu Leng; Ming Li 065; Lu Bai 001 (IEEE Trans. Intell. Transp. Syst., 2023)

From motivational experience to creative writing: A motivational AR-based learning approach to promoting Chinese writing performance and positive writing behaviours. - Ming Li 065; Yuting Chen; Chang-Qin Huang; Gwo-Jen Hwang; Mutlu Cukurova (Comput. Educ., 2023)

A new deep graph attention approach with influence and preference relationship reconstruction for rate prediction recommendation. - Hailiang Ye; Yuzhi Song; Ming Li 065; Feilong Cao (Inf. Process. Manag., 2023)

Triplet teaching graph contrastive networks with self-evolving adaptive augmentation. - Jiaxing Miao; Feilong Cao; Ming Li 065; Bing Yang; Hailiang Ye (Pattern Recognit., 2023)

BLoG: Bootstrapped graph representation learning with local and global regularization for recommendation. - Ming Li 065; Lin Zhang; Lixin Cui; Lu Bai 001; Zhao Li 007; Xindong Wu 001 (Pattern Recognit., 2023)

QBMK: Quantum-based Matching Kernels for Un-attributed Graphs. - Lu Bai 001; Lixin Cui; Ming Li 065; Yue Wang 014; Edwin R. Hancock (ICML, 2024)

How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing. - Keke Huang; Yu Guang Wang 001; Ming Li 065; Pietro Lio (ICML, 2024)

HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning. - Lu Bai 001; Zhuo Xu; Lixin Cui; Ming Li 065; Yue Wang 014; Edwin R. Hancock (NeurIPS, 2024)

Real-time E-bike Route Planning with Battery Range Prediction. - Zhao Li 007; Guoqi Ren; Yongchun Gu; Siwei Zhou; Xuanwu Liu; Jiaming Huang; Ming Li 065 (WSDM, 2024)

ConsistencyDet: A Robust Object Detector with a Denoising Paradigm of Consistency Model. - Lifan Jiang; Zhihui Wang 003; Changmiao Wang; Ming Li 065; Jiaxu Leng; Xindong Wu 001 (CoRR, 2024)

ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks. - Zhehan Zhao; Lu Bai 001; Lixin Cui; Ming Li 065; Yue Wang 014; Lixiang Xu; Edwin R. Hancock (CoRR, 2024)

Bridging Smoothness and Approximation: Theoretical Insights into Over-Smoothing in Graph Neural Networks. - Guangrui Yang; Jianfei Li; Ming Li 065; Han Feng; Ding-Xuan Zhou (CoRR, 2024)

Deeper Insights into Deep Graph Convolutional Networks: Stability and Generalization. - Guangrui Yang; Ming Li 065; Han Feng; Xiaosheng Zhuang (CoRR, 2024)

EduCross: Dual adversarial bipartite hypergraph learning for cross-modal retrieval in multimodal educational slides. - Ming Li 065; Siwei Zhou; Yuting Chen; Changqin Huang; Yunliang Jiang (Inf. Fusion, 2024)

PointTransform Networks for automatic depression level prediction via facial keypoints. - Mingyue Niu; Ming Li 065; Changzeng Fu (Knowl. Based Syst., 2024)

AG-Meta: Adaptive graph meta-learning via representation consistency over local subgraphs. - Yi Wang 022; Changqin Huang; Ming Li 065; Qionghao Huang; Xuemei Wu; Jia Wu 001 (Pattern Recognit., 2024)

A Systematic Review of Research on Immersive Technology-Enhanced Writing Education: The Current State and a Research Agenda. - Yuting Chen; Ming Li 065; Changqin Huang; Mutlu Cukurova; Qing Ma (IEEE Trans. Learn. Technol., 2024)

QBER: Quantum-based Entropic Representations for un-attributed graphs. - Lixin Cui; Ming Li 065; Lu Bai 001; Yue Wang 014; Jing Li 040; Yanchao Wang; Zhao Li 007; Yunwen Chen; Edwin R. Hancock (Pattern Recognit., 2024)

A joint parcellation and boundary network with multi-rate-shared dilated graph attention for cortical surface parcellation. - Siqi Liu; Hailiang Ye; Bing Yang; Ming Li 065; Feilong Cao (Medical Biol. Eng. Comput., 2024)

Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus. - Yue Wang 014; Yao Wan 001; Lu Bai 001; Lixin Cui; Zhuo Xu; Ming Li 065; Philip S. Yu; Edwin R. Hancock (IEEE Trans. Knowl. Data Eng., 2024)

Incorporation of peer-feedback into the pedagogical use of spherical video-based virtual reality in writing education. - Yu-Ting Chen; Ming Li 065; Mutlu Cukurova; Morris Siu-Yung Jong (Br. J. Educ. Technol., 2024)

A Novel Spark-Based Attribute Reduction and Neighborhood Classification for Rough Evidence. - Weiping Ding 001; Ying Sun; Ming Li 065; Jun Liu 001; Hengrong Ju; Jiashuang Huang; Chin-Teng Lin (IEEE Trans. Cybern., 2024)

Unleashing imagination: an effective pedagogical approach to integrate into spherical video-based virtual reality to improve students' creative writing. - Yu-Ting Chen; Ming Li 065; Mutlu Cukurova (Educ. Inf. Technol., 2024)

A Simple Yet Effective Framelet-Based Graph Neural Network for Directed Graphs. - Chunya Zou; Andi Han; Lequan Lin; Ming Li 065; Junbin Gao (IEEE Trans. Artif. Intell., 2024)

Guest Editorial: Deep Neural Networks for Graphs: Theory, Models, Algorithms, and Applications. - Ming Li 065; Alessio Micheli; Yu Guang Wang 001; Shirui Pan; Pietro Lió; Giorgio Stefano Gnecco; Marcello Sanguineti (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multimodal graph learning based on 3D Haar semi-tight framelet for student engagement prediction. - Ming Li 065; Xiaosheng Zhuang; Lu Bai 001; Weiping Ding 001 (Inf. Fusion, 2024)

Toward Graph Self-Supervised Learning With Contrastive Adjusted Zooming. - Yizhen Zheng; Ming Jin 005; Shirui Pan; Yuan-Fang Li; Hao Peng 001; Ming Li 065; Zhao Li 007 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Framelet-based dual hypergraph neural networks for student performance prediction. - Yazhi Yang; Jiandong Shi; Ming Li 065; Hamido Fujita (Int. J. Mach. Learn. Cybern., 2024)

Robust graph neural networks with Dirichlet regularization and residual connection. - Kaixuan Yao; Zijin Du; Ming Li 065; Feilong Cao; Jiye Liang (Int. J. Mach. Learn. Cybern., 2024)

Permutation Equivariant Graph Framelets for Heterophilous Graph Learning. - Jianfei Li; Ruigang Zheng; Han Feng; Ming Li 065; Xiaosheng Zhuang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Flow2GNN: Flexible Two-Way Flow Message Passing for Enhancing GNNs Beyond Homophily. - Changqin Huang; Yi Wang 022; Yunliang Jiang; Ming Li 065; Xiaodi Huang; Shijin Wang; Shirui Pan; Chuan Zhou 001 (IEEE Trans. Cybern., 2024)

HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification. - Lu Bai 001; Lixin Cui; Yue Wang 014; Ming Li 065; Jing Li 040; Philip S. Yu; Edwin R. Hancock (IEEE Trans. Knowl. Data Eng., 2024)

XKT: Toward Explainable Knowledge Tracing Model With Cognitive Learning Theories for Questions of Multiple Knowledge Concepts. - Chang-Qin Huang; Qionghao Huang; Xiaodi Huang; Hua Wang 002; Ming Li 065; Kwei-Jay Lin; Yi Chang (IEEE Trans. Knowl. Data Eng., 2024)

EduGraph: Learning Path-Based Hypergraph Neural Networks for MOOC Course Recommendation. - Ming Li 065; Zhao Li 007; Changqin Huang; Yunliang Jiang; Xindong Wu 001 (IEEE Trans. Big Data, 2024)

ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection. - Tingyi Cai; Yunliang Jiang; Ming Li 065; Changqin Huang; Yi Wang 022; Qionghao Huang (AAAI, 2025)

Deep Hypergraph Neural Networks with Tight Framelets. - Ming Li 065; Yujie Fang; Yi Wang 022; Han Feng; Yongchun Gu; Lu Bai 001; Pietro Liò (AAAI, 2025)

When Hypergraph Meets Heterophily: New Benchmark Datasets and Baseline. - Ming Li 065; Yongchun Gu; Yi Wang 022; Yujie Fang; Lu Bai 001; Xiaosheng Zhuang; Pietro Liò (AAAI, 2025)

DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification. - Feifei Qian; Lu Bai 001; Lixin Cui; Ming Li 065; Ziyu Lyu; Hangyuan Du; Edwin R. Hancock (AAAI, 2025)

AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks: (Extended Abstract). - Lu Bai 001; Lixin Cui; Ming Li 065; Peng Ren 001; Yue Wang 014; Lichi Zhang; Philip S. Yu; Edwin R. Hancock (ICDE, 2025)

HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification (Extended Abstract). - Lu Bai 001; Lixin Cui; Yue Wang 014; Ming Li 065; Jing Li 040; Philip S. Yu; Edwin R. Hancock (ICDE, 2025)

Bidirectional distance encoding for graph neural networks. - Xi Wang; Changxiang He; Luchao Zhang; Xiaofei Qin; Xuedian Zhang; Ming Li 065; Min Ju (Neurocomputing, 2025)

ReFNet: Rehearsal-based graph lifelong learning with multi-resolution framelet graph neural networks. - Ming Li 065; Xiaoyi Yang; Yuting Chen; Siwei Zhou; Yongchun Gu; Qintai Hu (Inf. Sci., 2025)

Multimodal graph learning with framelet-based stochastic configuration networks for emotion recognition in conversation. - Jiandong Shi; Ming Li 065; Yuting Chen; Lixin Cui; Lu Bai 001 (Inf. Sci., 2025)

A feature reuse framework with texture-adaptive aggregation for reference-based super-resolution. - Xiaoyong Mei; Yi Yang; Ming Li 065; Changqin Huang; Kai Zhang; Fudan Zheng (Knowl. Based Syst., 2025)

Collaborative graph neural networks for augmented graphs: A local-to-global perspective. - Qihang Guo; Xibei Yang; Ming Li 065; Yuhua Qian (Pattern Recognit., 2025)

FrameERC: Framelet Transform Based Multimodal Graph Neural Networks for Emotion Recognition in Conversation. - Ming Li 065; Jiandong Shi; Lu Bai 001; Changqin Huang; Yunliang Jiang; Ke Lu; Shijin Wang; Edwin R. Hancock (Pattern Recognit., 2025)

A Unified Framework for Exploratory Learning-Aided Community Detection Under Topological Uncertainty. - Yu Hou; Cong Tran; Ming Li 065; Won-Yong Shin (IEEE Trans. Netw. Sci. Eng., 2025)

Out-of-Distribution Detection on Graphs: A Survey. - Tingyi Cai; Yunliang Jiang; Yixin Liu 001; Ming Li 065; Changqin Huang; Shirui Pan (CoRR, 2025)

AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks. - Lu Bai 001; Lixin Cui; Ming Li 065; Peng Ren 001; Yue Wang 014; Lichi Zhang; Philip S. Yu; Edwin R. Hancock (IEEE Trans. Knowl. Data Eng., 2025)

Understanding the dynamics of motivation and learning behaviors in augmented reality-based writing courses. - Yu-Ting Chen; Xin-Xiang Wang; Ming Li 065; Mutlu Cukurova; Morris Siu-Yung Jong (Educ. Inf. Technol., 2025)

Semantic-spatial feature-fused cortical surface parcellation: a scale-unified spatial learning network with boundary contrastive loss. - Hailiang Ye; Siqi Liu; Ming Li 065; Houying Zhu; Feilong Cao (Medical Biol. Eng. Comput., 2025)

AutoHFormer: Efficient Hierarchical Autoregressive Transformer for Time Series Prediction. - Qianru Zhang; Honggang Wen; Ming Li 065; Dong Huang 005; Siu-Ming Yiu; Christian S. Jensen; Pietro Liò (CoRR, 2025)

Correlation Information Enhanced Graph Anomaly Detection via Hypergraph Transformation. - Changqin Huang; Chengling Gao; Ming Li 065; Yongzhi Li; Xizhe Wang; Yunliang Jiang; Xiaodi Huang (IEEE Trans. Cybern., 2025)

SODSR: A Three-Stage Small Object Detection via Super-Resolution Using Optimizing Combination. - Xiaoyong Mei; Kejin Zhang; Changqin Huang; Xiao Chen; Ming Li 065; Zhao Li 007; Weiping Ding 001; Xindong Wu 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning. - Xin Hu; Ke Qin; Guiduo Duan; Ming Li 065; Yuan-Fang Li; Tao He 007 (CoRR, 2025)

MM-Tracker: Visual Tracking With A Multi-Task Model Integrating Detection and Differentiating Feature Extraction. - Zhihui Wang 003; Mingshuai Li; Zhiyuan Li 013; Xing-Li Zhang 001; Ming Li 065; Zhao Li 007; Weiping Ding 001; Xindong Wu 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)