Jing Li

65 papers A* 4B 10Journal 49Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Efficient Oriented Object Detection via Wavelet-Based Energy Label Reassignment and Dual Prediction Strategy.
IEEE Trans. Multim.
Beihang Song, Jing Li, Jia Wu, Jun Chang, Xuefei Li, Jun Wan
2026 J jnl
JCLRec: Joint diffusion model and dual contrastive learning for sequential recommendation.
Knowl. Based Syst.
Kai Zhu, Jing Li, Yue He, Mingfeng Wang, Jiaheng Yu, Jun Chang, Jun Wan
2026 J jnl
Multi-representation space recommendation with graph contrastive learning.
Expert Syst. Appl.
Xiaoda Li, Yue He, Jing Li, Kai Zhu, Jun Chang, Jiaheng Yu
2025 A* conf
Adaptive User Dynamic Interest Guidance for Generative Sequential Recommendation.
SIGIR
Kai Zhu, Jing Li, Jia Wu, Yue He, Jun Chang, Guohao Li, Shuyi Zhang
2025 J jnl
Adaptive data pruning for efficient federated learning on heterogeneous clients.
Clust. Comput.
Keke Yang, Wei Fan, Zheyuan Shen, Xiangyu Fan, Jing Li
2025 J jnl
Facial Expression Recognition With Heatmap Neighbor Contrastive Learning.
IEEE Trans. Multim.
Tong Liu, Jing Li, Jia Wu, Bo Du, Yibing Zhan, Dapeng Tao, Jun Wan
2025 J jnl
HEART: Historically Information Embedding and Subspace Re-Weighting Transformer-Based Tracking.
IEEE Trans. Big Data
Tianpeng Liu, Jing Li, Amin Beheshti, Jia Wu, Jun Chang, Beihang Song, Lezhi Lian
2025 B conf
Joint Content semantic relation Learning with Mamba for Multimodal Recommendation.
IJCNN
Xinyue Zhang, Yue He, Jing Li, Jun Chang, Kai Zhu, Guohao Li
2025 J jnl
Rejoining fragmented ancient bamboo slips with physics-driven deep learning.
CoRR
Jinchi Zhu, Zhou Zhao, Hailong Lei, Xiaoguang Wang, Jialiang Lu, Jing Li, Qianqian Tang, Jiachen Shen, Gui-Song Xia, Bo Du, Yongchao Xu
2024 B conf
Bilateral Unsymmetrical Graph Contrastive Learning for Recommendation.
IJCNN
Jiaheng Yu, Jing Li, Yue He, Kai Zhu, Shuyi Zhang, Wen Hu
2024 J jnl
Bilateral Unsymmetrical Graph Contrastive Learning for Recommendation.
CoRR
Jiaheng Yu, Jing Li, Yue He, Kai Zhu, Shuyi Zhang, Wen Hu
2024 J jnl
Confusable facial expression recognition with geometry-aware conditional network.
Pattern Recognit.
Tong Liu, Jing Li, Jia Wu, Bo Du, Jun Wan, Jun Chang
2024 J jnl
Contrastive graph learning long and short-term interests for POI recommendation.
Expert Syst. Appl.
Jiarun Fu, Rong Gao, Yonghong Yu, Jia Wu, Jing Li, Donghua Liu, Zhiwei Ye
2024 J jnl
Direction Prediction Redefinition: Transfer Angle to Scale in Oriented Object Detection.
IEEE Trans. Circuits Syst. Video Technol.
Beihang Song, Jing Li, Jia Wu, Jun Chang, Jun Wan
2024 J jnl
Flexibly utilizing syntactic knowledge in aspect-based sentiment analysis.
Inf. Process. Manag.
Xiaosai Huang, Jing Li, Jia Wu, Jun Chang, Donghua Liu, Kai Zhu
2024 J jnl
PTMB: An online satellite task scheduling framework based on pre-trained Markov decision process for multi-task scenario.
Knowl. Based Syst.
Guohao Li, Xuefei Li, Jing Li, Jia Chen, Xin Shen
2024 J jnl
Quality-aware face alignment using high-resolution spatial dependencies.
Multim. Tools Appl.
Jinyan Ma, Xuefei Li, Jing Li, Jun Wan, Tong Liu, Guohao Li
2024 J jnl
Single-stage oriented object detection via Corona Heatmap and Multi-stage Angle Prediction.
Knowl. Based Syst.
Beihang Song, Jing Li, Jia Wu, Shan Xue, Jun Chang, Jun Wan
2024 J jnl
Tracking With Saliency Region Transformer.
IEEE Trans. Image Process.
Tianpeng Liu, Jing Li, Jia Wu, Lefei Zhang, Jun Chang, Jun Wan, Lezhi Lian
2023 — conf
Byzantine-Robust Federated Learning via Server-Side Mixtue of Experts.
PRICAI (2)
Xiangyu Fan, Zheyuan Shen, Wei Fan, Keke Yang, Jing Li
2023 A* conf
Cross-Domain Facial Expression Recognition via Disentangling Identity Representation.
IJCAI
Tong Liu, Jing Li, Jia Wu, Lefei Zhang, Shanshan Zhao, Jun Chang, Jun Wan
2023 J jnl
Facial Expression Recognition on the High Aggregation Subgraphs.
IEEE Trans. Image Process.
Tong Liu, Jing Li, Jia Wu, Bo Du, Jun Chang, Yi Liu
2023 J jnl
Multi-Aspect enhanced Graph Neural Networks for recommendation.
Neural Networks
Chenyan Zhang, Shan Xue, Jing Li, Jia Wu, Bo Du, Donghua Liu, Jun Chang
2023 J jnl
SRDF: Single-Stage Rotate Object Detector via Dense Prediction and False Positive Suppression.
IEEE Trans. Geosci. Remote. Sens.
Beihang Song, Jing Li, Jia Wu, Bo Du, Jun Chang, Jun Wan, Tianpeng Liu
2023 J jnl
Self-supervised Dual Hypergraph learning with Intent Disentanglement for session-based recommendation.
Knowl. Based Syst.
Rong Gao, Yuhe Tao, Yonghong Yu, Jia Wu, Xiongkai Shao, Jing Li, Zhiwei Ye
2023 J jnl
Tracking With Mutual Attention Network.
IEEE Trans. Multim.
Tianpeng Liu, Jing Li, Jia Wu, Jun Chang, Beihang Song, Bowen Yao
2023 J jnl
Transfer Learning With Document-Level Data Augmentation for Aspect-Level Sentiment Classification.
IEEE Trans. Big Data
Xiaosai Huang, Jing Li, Jia Wu, Jun Chang, Donghua Liu
2023 B conf
Two-way Cross-domain Recommendation with Central Social Influence.
IJCNN
Shuyi Zhang, Jing Li, Jun Chang, Mingfeng Wang, Kai Zhu
2023 J jnl
Visual tracking with dumbbell selection network.
Neurocomputing
Tianpeng Liu, Jing Li, Jia Wu, Jun Chang, Yafu Xiao, Yan Hong
2023 B conf
Worldwide COVID-19 Topic Knowledge Graph Analysis From Social Media.
IJCNN
Yuchen Zhang, Yifan Wang, Hao Fan, Jing Li, Jia Wu
2022 J jnl
A Knowledge Distillation-Based Backdoor Attack in Federated Learning.
CoRR
Yifan Wang, Wei Fan, Keke Yang, Naji Alhusaini, Jing Li
2022 J jnl
Adaptive Hierarchical Attention-Enhanced Gated Network Integrating Reviews for Item Recommendation.
IEEE Trans. Knowl. Data Eng.
Donghua Liu, Jia Wu, Jing Li, Bo Du, Jun Chang, Xuefei Li
2022 J jnl
Deep Recommendation With Adversarial Training.
IEEE Trans. Emerg. Top. Comput.
Chenyan Zhang, Jing Li, Jia Wu, Donghua Liu, Jun Chang, Rong Gao
2022 J jnl
Drift-Proof Tracking With Deep Reinforcement Learning.
IEEE Trans. Multim.
Zhongze Chen, Jing Li, Jia Wu, Jun Chang, Yafu Xiao, Xiaoting Wang
2022 J jnl
GARAT: Generative Adversarial Learning for Robust and Accurate Tracking.
Neural Networks
Bowen Yao, Jing Li, Shan Xue, Jia Wu, Huanmei Guan, Jun Chang, Zhiquan Ding
2022 B conf
Global Context-Aware Graph Neural Networks for Session-based Recommendation.
IJCNN
Mingfeng Wang, Jing Li, Jun Chang, Donghua Liu, Chenyan Zhang, Xiaosai Huang
2022 J jnl
Interest Evolution-driven Gated Neighborhood aggregation representation for dynamic recommendation in e-commerce.
Inf. Process. Manag.
Donghua Liu, Jing Li, Jia Wu, Bo Du, Jun Chang, Xuefei Li
2022 J jnl
Robust Facial Landmark Detection by Multiorder Multiconstraint Deep Networks.
IEEE Trans. Neural Networks Learn. Syst.
Jun Wan, Zhihui Lai, Jing Li, Jie Zhou, Can Gao
2022 J jnl
Robust face alignment by dual-attentional spatial-aware capsule networks.
Pattern Recognit.
Jinyan Ma, Jing Li, Bo Du, Jia Wu, Jun Wan, Yafu Xiao
2022 J jnl
Single-stage Rotate Object Detector via Two Points with Solar Corona Heatmap.
CoRR
Beihang Song, Jing Li, Shan Xue, Jun Chang, Jia Wu, Jun Wan, Tianpeng Liu
2021 J jnl
A hybrid neural network approach to combine textual information and rating information for item recommendation.
Knowl. Inf. Syst.
Donghua Liu, Jing Li, Bo Du, Jun Chang, Rong Gao, Yujia Wu
2021 J jnl
Learning adaptive updating siamese network for visual tracking.
Multim. Tools Appl.
Yifei Zhou, Jing Li, Bo Du, Jun Chang, Zhiquan Ding, Tianqi Qin
2021 J jnl
Multi-task adversarial autoencoder network for face alignment in the wild.
Neurocomputing
Xiaoqian Yue, Jing Li, Jia Wu, Jun Chang, Jun Wan, Jinyan Ma
2021 B conf
Siamese Guided Anchoring Network for Visual Tracking.
IJCNN
Yifei Zhou, Jing Li, Jun Chang, Yafu Xiao, Jun Wan, Hang Sun
2020 J jnl
A target response adaptive correlation filter tracker with spatial attention.
Multim. Tools Appl.
Yifei Zhou, Jing Li, Bo Du, Jun Chang, Yafu Xiao
2020 J jnl
Learning spatial-temporally regularized complementary kernelized correlation filters for visual tracking.
Multim. Tools Appl.
Zhenyang Su, Jing Li, Jun Chang, Chengfang Song, Yafu Xiao, Jun Wan
2020 J jnl
MeMu: Metric correlation Siamese network and multi-class negative sampling for visual tracking.
Pattern Recognit.
Yafu Xiao, Jing Li, Bo Du, Jia Wu, Jun Chang, Wenfan Zhang
2020 J jnl
Real-time visual tracking using complementary kernel support correlation filters.
Frontiers Comput. Sci.
Zhenyang Su, Jing Li, Jun Chang, Bo Du, Yafu Xiao
2020 J jnl
Robust Facial Landmark Detection by Multi-order Multi-constraint Deep Networks.
CoRR
Jun Wan, Zhihui Lai, Jing Li, Jie Zhou, Can Gao
2020 J jnl
Robust face alignment by cascaded regression and de-occlusion.
Neural Networks
Jun Wan, Jing Li, Zhihui Lai, Bo Du, Lefei Zhang
2020 J jnl
Siamese capsule networks with global and local features for text classification.
Neurocomputing
Yujia Wu, Jing Li, Jia Wu, Jun Chang
2020 B conf
Support Correlation Filters Tracking using Mask Matrix.
IJCNN
Zhenyang Su, Jing Li, Zhiquan Ding, Tianqi Qin, Yafu Xiao
2020 B conf
Text Classification using Triplet Capsule Networks.
IJCNN
Yujia Wu, Jing Li, Vincent Chen, Jun Chang, Zhiquan Ding, Zhi Wang
2019 B conf
Correlation Filter Tracking Method via Metric Learning and Adaptive Multi-stage Appearance.
IJCNN
Yan Hong, Jing Li, Yafu Xiao, Wenfan Zhang, Chengfang Song, Shan Xue
2019 A* conf
DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation.
KDD
Donghua Liu, Jing Li, Bo Du, Jun Chang, Rong Gao
2019 A* conf
DRCGR: Deep Reinforcement Learning Framework Incorporating CNN and GAN-Based for Interactive Recommendation.
ICDM
Rong Gao, Haifeng Xia, Jing Li, Donghua Liu, Shuai Chen, Gang Chun
2019 J jnl
Face alignment by Component Adaptive Mechanism.
Neurocomputing
Jun Wan, Jing Li, Jun Chang, Yujia Wu, Yafu Xiao, Xuefei Li, Hao Zheng
2019 J jnl
Robust correlation filter tracking with multi-scale spatial view.
Neurocomputing
Yafu Xiao, Jing Li, Bo Du, Jia Wu, Xuefei Li, Jun Chang, Yifei Zhou
2019 J jnl
SSSER: Spatiotemporal Sequential and Social Embedding Rank for Successive Point-of-Interest Recommendation.
IEEE Access
Yangyang Xu, Xuefei Li, Jing Li, Chunzhi Wang, Rong Gao, Yonghong Yu
2018 J jnl
A personalized point-of-interest recommendation model via fusion of geo-social information.
Neurocomputing
Rong Gao, Jing Li, Xuefei Li, Chengfang Song, Yifei Zhou
2018 B conf
Correlation Filter Tracking with Multiscale Spatial View.
IJCNN
Yafu Xiao, Jing Li, Jun Chang, Yifei Zhou, Wenfan Zhang
2018 J jnl
STSCR: Exploring spatial-temporal sequential influence and social information for location recommendation.
Neurocomputing
Rong Gao, Jing Li, Xuefei Li, Chengfang Song, Jun Chang, Donghua Liu, Chunzhi Wang
2018 J jnl
Structure-preserving texture filtering for adaptive image smoothing.
J. Vis. Lang. Comput.
Chengfang Song, Chunxia Xiao, Xuefei Li, Jing Li, Haigang Sui
2016 J jnl
Efficient compressive sensing tracking via mixed classifier decision.
Sci. China Inf. Sci.
Hang Sun, Jing Li, Jun Chang, Bo Du, Zhenyang Su
2016 — conf
On Combining Compressed Sensing and Sparse Representations for Object Tracking.
PCM (1)
Hang Sun, Jing Li, Bo Du, Dacheng Tao