On Combining Compressed Sensing and Sparse Representations for Object Tracking. - Hang Sun; Jing Li 055; Bo Du 001; Dacheng Tao (PCM (1), 2016)

Efficient compressive sensing tracking via mixed classifier decision. - Hang Sun; Jing Li 055; Jun Chang; Bo Du 001; Zhenyang Su (Sci. China Inf. Sci., 2016)

Correlation Filter Tracking with Multiscale Spatial View. - Yafu Xiao; Jing Li 055; Jun Chang; Yifei Zhou; Wenfan Zhang (IJCNN, 2018)

STSCR: Exploring spatial-temporal sequential influence and social information for location recommendation. - Rong Gao; Jing Li 055; Xuefei Li 001; Chengfang Song; Jun Chang; Donghua Liu; Chunzhi Wang (Neurocomputing, 2018)

A personalized point-of-interest recommendation model via fusion of geo-social information. - Rong Gao; Jing Li 055; Xuefei Li 001; Chengfang Song; Yifei Zhou (Neurocomputing, 2018)

Structure-preserving texture filtering for adaptive image smoothing. - Chengfang Song; Chunxia Xiao; Xuefei Li 001; Jing Li 055; Haigang Sui (J. Vis. Lang. Comput., 2018)

DRCGR: Deep Reinforcement Learning Framework Incorporating CNN and GAN-Based for Interactive Recommendation. - Rong Gao; Haifeng Xia; Jing Li 055; Donghua Liu; Shuai Chen; Gang Chun (ICDM, 2019)

Correlation Filter Tracking Method via Metric Learning and Adaptive Multi-stage Appearance. - Yan Hong 005; Jing Li 055; Yafu Xiao; Wenfan Zhang; Chengfang Song; Shan Xue 001 (IJCNN, 2019)

DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation. - Donghua Liu; Jing Li 055; Bo Du 001; Jun Chang; Rong Gao (KDD, 2019)

SSSER: Spatiotemporal Sequential and Social Embedding Rank for Successive Point-of-Interest Recommendation. - Yangyang Xu; Xuefei Li 001; Jing Li 055; Chunzhi Wang; Rong Gao; Yonghong Yu (IEEE Access, 2019)

Face alignment by Component Adaptive Mechanism. - Jun Wan 005; Jing Li 055; Jun Chang; Yujia Wu; Yafu Xiao; Xuefei Li 001; Hao Zheng (Neurocomputing, 2019)

Robust correlation filter tracking with multi-scale spatial view. - Yafu Xiao; Jing Li 055; Bo Du 001; Jia Wu 001; Xuefei Li 001; Jun Chang; Yifei Zhou (Neurocomputing, 2019)

Support Correlation Filters Tracking using Mask Matrix. - Zhenyang Su; Jing Li 055; Zhiquan Ding; Tianqi Qin; Yafu Xiao (IJCNN, 2020)

Text Classification using Triplet Capsule Networks. - Yujia Wu; Jing Li 055; Vincent Chen; Jun Chang; Zhiquan Ding; Zhi Wang (IJCNN, 2020)

Robust Facial Landmark Detection by Multi-order Multi-constraint Deep Networks. - Jun Wan 005; Zhihui Lai 001; Jing Li 055; Jie Zhou 009; Can Gao (CoRR, 2020)

Real-time visual tracking using complementary kernel support correlation filters. - Zhenyang Su; Jing Li 055; Jun Chang; Bo Du 001; Yafu Xiao (Frontiers Comput. Sci., 2020)

Siamese capsule networks with global and local features for text classification. - Yujia Wu; Jing Li 055; Jia Wu 001; Jun Chang (Neurocomputing, 2020)

Learning spatial-temporally regularized complementary kernelized correlation filters for visual tracking. - Zhenyang Su; Jing Li 055; Jun Chang; Chengfang Song; Yafu Xiao; Jun Wan 005 (Multim. Tools Appl., 2020)

A target response adaptive correlation filter tracker with spatial attention. - Yifei Zhou; Jing Li 055; Bo Du 001; Jun Chang; Yafu Xiao (Multim. Tools Appl., 2020)

Robust face alignment by cascaded regression and de-occlusion. - Jun Wan 005; Jing Li 055; Zhihui Lai 001; Bo Du 001; Lefei Zhang (Neural Networks, 2020)

MeMu: Metric correlation Siamese network and multi-class negative sampling for visual tracking. - Yafu Xiao; Jing Li 055; Bo Du 001; Jia Wu 001; Jun Chang; Wenfan Zhang (Pattern Recognit., 2020)

Siamese Guided Anchoring Network for Visual Tracking. - Yifei Zhou; Jing Li 055; Jun Chang; Yafu Xiao; Jun Wan 005; Hang Sun (IJCNN, 2021)

Multi-task adversarial autoencoder network for face alignment in the wild. - Xiaoqian Yue; Jing Li 055; Jia Wu 001; Jun Chang; Jun Wan 005; Jinyan Ma (Neurocomputing, 2021)

A hybrid neural network approach to combine textual information and rating information for item recommendation. - Donghua Liu; Jing Li 055; Bo Du 001; Jun Chang; Rong Gao; Yujia Wu (Knowl. Inf. Syst., 2021)

Learning adaptive updating siamese network for visual tracking. - Yifei Zhou; Jing Li 055; Bo Du 001; Jun Chang; Zhiquan Ding; Tianqi Qin (Multim. Tools Appl., 2021)

Global Context-Aware Graph Neural Networks for Session-based Recommendation. - Mingfeng Wang; Jing Li 055; Jun Chang; Donghua Liu; Chenyan Zhang; Xiaosai Huang (IJCNN, 2022)

Single-stage Rotate Object Detector via Two Points with Solar Corona Heatmap. - Beihang Song; Jing Li 055; Shan Xue 001; Jun Chang; Jia Wu 001; Jun Wan 005; Tianpeng Liu (CoRR, 2022)

A Knowledge Distillation-Based Backdoor Attack in Federated Learning. - Yifan Wang; Wei Fan; Keke Yang; Naji Alhusaini; Jing Li 055 (CoRR, 2022)

Interest Evolution-driven Gated Neighborhood aggregation representation for dynamic recommendation in e-commerce. - Donghua Liu; Jing Li 055; Jia Wu 010; Bo Du 001; Jun Chang; Xuefei Li 001 (Inf. Process. Manag., 2022)

GARAT: Generative Adversarial Learning for Robust and Accurate Tracking. - Bowen Yao; Jing Li 055; Shan Xue 001; Jia Wu 001; Huanmei Guan; Jun Chang; Zhiquan Ding (Neural Networks, 2022)

Robust face alignment by dual-attentional spatial-aware capsule networks. - Jinyan Ma; Jing Li 055; Bo Du 001; Jia Wu 001; Jun Wan 005; Yafu Xiao (Pattern Recognit., 2022)

Deep Recommendation With Adversarial Training. - Chenyan Zhang; Jing Li 055; Jia Wu 001; Donghua Liu; Jun Chang; Rong Gao (IEEE Trans. Emerg. Top. Comput., 2022)

Adaptive Hierarchical Attention-Enhanced Gated Network Integrating Reviews for Item Recommendation. - Donghua Liu; Jia Wu 001; Jing Li 055; Bo Du 001; Jun Chang; Xuefei Li 001 (IEEE Trans. Knowl. Data Eng., 2022)

Drift-Proof Tracking With Deep Reinforcement Learning. - Zhongze Chen; Jing Li 055; Jia Wu 001; Jun Chang; Yafu Xiao; Xiaoting Wang (IEEE Trans. Multim., 2022)

Robust Facial Landmark Detection by Multiorder Multiconstraint Deep Networks. - Jun Wan 005; Zhihui Lai 001; Jing Li 055; Jie Zhou 009; Can Gao (IEEE Trans. Neural Networks Learn. Syst., 2022)

Cross-Domain Facial Expression Recognition via Disentangling Identity Representation. - Tong Liu; Jing Li 055; Jia Wu 001; Lefei Zhang; Shanshan Zhao; Jun Chang; Jun Wan 005 (IJCAI, 2023)

Two-way Cross-domain Recommendation with Central Social Influence. - Shuyi Zhang; Jing Li 055; Jun Chang; Mingfeng Wang; Kai Zhu 009 (IJCNN, 2023)

Worldwide COVID-19 Topic Knowledge Graph Analysis From Social Media. - Yuchen Zhang; Yifan Wang; Hao Fan 003; Jing Li 055; Jia Wu 001 (IJCNN, 2023)

Byzantine-Robust Federated Learning via Server-Side Mixtue of Experts. - Xiangyu Fan; Zheyuan Shen; Wei Fan; Keke Yang; Jing Li 055 (PRICAI (2), 2023)

Visual tracking with dumbbell selection network. - Tianpeng Liu; Jing Li 055; Jia Wu 001; Jun Chang; Yafu Xiao; Yan Hong 005 (Neurocomputing, 2023)

Self-supervised Dual Hypergraph learning with Intent Disentanglement for session-based recommendation. - Rong Gao; Yuhe Tao; Yonghong Yu; Jia Wu 001; Xiongkai Shao; Jing Li 055; Zhiwei Ye (Knowl. Based Syst., 2023)

Multi-Aspect enhanced Graph Neural Networks for recommendation. - Chenyan Zhang; Shan Xue 001; Jing Li 055; Jia Wu 001; Bo Du 001; Donghua Liu; Jun Chang (Neural Networks, 2023)

SRDF: Single-Stage Rotate Object Detector via Dense Prediction and False Positive Suppression. - Beihang Song; Jing Li 055; Jia Wu 001; Bo Du 001; Jun Chang; Jun Wan 005; Tianpeng Liu (IEEE Trans. Geosci. Remote. Sens., 2023)

Facial Expression Recognition on the High Aggregation Subgraphs. - Tong Liu; Jing Li 055; Jia Wu 001; Bo Du 001; Jun Chang; Yi Liu (IEEE Trans. Image Process., 2023)

Tracking With Mutual Attention Network. - Tianpeng Liu; Jing Li 055; Jia Wu 001; Jun Chang; Beihang Song; Bowen Yao (IEEE Trans. Multim., 2023)

Transfer Learning With Document-Level Data Augmentation for Aspect-Level Sentiment Classification. - Xiaosai Huang; Jing Li 055; Jia Wu 001; Jun Chang; Donghua Liu (IEEE Trans. Big Data, 2023)

Bilateral Unsymmetrical Graph Contrastive Learning for Recommendation. - Jiaheng Yu; Jing Li 055; Yue He 005; Kai Zhu 009; Shuyi Zhang; Wen Hu (IJCNN, 2024)

Bilateral Unsymmetrical Graph Contrastive Learning for Recommendation. - Jiaheng Yu; Jing Li 055; Yue He 005; Kai Zhu 008; Shuyi Zhang; Wen Hu (CoRR, 2024)

PTMB: An online satellite task scheduling framework based on pre-trained Markov decision process for multi-task scenario. - Guohao Li 009; Xuefei Li 001; Jing Li 055; Jia Chen; Xin Shen 001 (Knowl. Based Syst., 2024)

Single-stage oriented object detection via Corona Heatmap and Multi-stage Angle Prediction. - Beihang Song; Jing Li 055; Jia Wu 001; Shan Xue 001; Jun Chang; Jun Wan 005 (Knowl. Based Syst., 2024)

Tracking With Saliency Region Transformer. - Tianpeng Liu; Jing Li 055; Jia Wu 001; Lefei Zhang; Jun Chang; Jun Wan 005; Lezhi Lian (IEEE Trans. Image Process., 2024)

Contrastive graph learning long and short-term interests for POI recommendation. - Jiarun Fu; Rong Gao; Yonghong Yu; Jia Wu 001; Jing Li 055; Donghua Liu; Zhiwei Ye (Expert Syst. Appl., 2024)

Flexibly utilizing syntactic knowledge in aspect-based sentiment analysis. - Xiaosai Huang; Jing Li 055; Jia Wu 001; Jun Chang; Donghua Liu; Kai Zhu 009 (Inf. Process. Manag., 2024)

Quality-aware face alignment using high-resolution spatial dependencies. - Jinyan Ma; Xuefei Li 001; Jing Li 055; Jun Wan 005; Tong Liu; Guohao Li 009 (Multim. Tools Appl., 2024)

Confusable facial expression recognition with geometry-aware conditional network. - Tong Liu; Jing Li 055; Jia Wu 001; Bo Du 001; Jun Wan 005; Jun Chang (Pattern Recognit., 2024)

Direction Prediction Redefinition: Transfer Angle to Scale in Oriented Object Detection. - Beihang Song; Jing Li 055; Jia Wu 001; Jun Chang; Jun Wan 005 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Adaptive User Dynamic Interest Guidance for Generative Sequential Recommendation. - Kai Zhu 009; Jing Li 055; Jia Wu 001; Yue He 005; Jun Chang; Guohao Li 009; Shuyi Zhang (SIGIR, 2025)

Facial Expression Recognition With Heatmap Neighbor Contrastive Learning. - Tong Liu; Jing Li 055; Jia Wu 001; Bo Du 001; Yibing Zhan; Dapeng Tao; Jun Wan 005 (IEEE Trans. Multim., 2025)

HEART: Historically Information Embedding and Subspace Re-Weighting Transformer-Based Tracking. - Tianpeng Liu; Jing Li 055; Amin Beheshti; Jia Wu 001; Jun Chang; Beihang Song; Lezhi Lian (IEEE Trans. Big Data, 2025)

Rejoining fragmented ancient bamboo slips with physics-driven deep learning. - Jinchi Zhu; Zhou Zhao; Hailong Lei; Xiaoguang Wang; Jialiang Lu; Jing Li 055; Qianqian Tang; Jiachen Shen; Gui-Song Xia; Bo Du 001; Yongchao Xu (CoRR, 2025)

Multi-representation space recommendation with graph contrastive learning. - Xiaoda Li; Yue He 005; Jing Li 055; Kai Zhu 009; Jun Chang; Jiaheng Yu (Expert Syst. Appl., 2026)