Jing Li

According to our database1, Jing Li authored at least 17 papers between 2016 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 



On csauthors.net:


MeMu: Metric correlation Siamese network and multi-class negative sampling for visual tracking.
Pattern Recognit., 2020

Robust face alignment by cascaded regression and de-occlusion.
Neural Networks, 2020

Learning spatial-temporally regularized complementary kernelized correlation filters for visual tracking.
Multim. Tools Appl., 2020

Siamese capsule networks with global and local features for text classification.
Neurocomputing, 2020

Real-time visual tracking using complementary kernel support correlation filters.
Frontiers Comput. Sci., 2020

Robust correlation filter tracking with multi-scale spatial view.
Neurocomputing, 2019

Face alignment by Component Adaptive Mechanism.
Neurocomputing, 2019

SSSER: Spatiotemporal Sequential and Social Embedding Rank for Successive Point-of-Interest Recommendation.
IEEE Access, 2019

DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Correlation Filter Tracking Method via Metric Learning and Adaptive Multi-stage Appearance.
Proceedings of the International Joint Conference on Neural Networks, 2019

DRCGR: Deep Reinforcement Learning Framework Incorporating CNN and GAN-Based for Interactive Recommendation.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Structure-preserving texture filtering for adaptive image smoothing.
J. Vis. Lang. Comput., 2018

A personalized point-of-interest recommendation model via fusion of geo-social information.
Neurocomputing, 2018

STSCR: Exploring spatial-temporal sequential influence and social information for location recommendation.
Neurocomputing, 2018

Correlation Filter Tracking with Multiscale Spatial View.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Efficient compressive sensing tracking via mixed classifier decision.
Sci. China Inf. Sci., 2016

On Combining Compressed Sensing and Sparse Representations for Object Tracking.
Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016