Junjie Sun

According to our database1, Junjie Sun authored at least 12 papers between 2015 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Development of a High-Performance Microaccelerometer With Position Independent Pure-Axial Stressed Piezoresistive Beams.
IEEE Trans. Ind. Electron., August, 2023

Anterior cruciate ligament tear detection based on deep belief networks and improved honey badger algorithm.
Biomed. Signal Process. Control., July, 2023

BELT: Old-School Backdoor Attacks can Evade the State-of-the-Art Defense with Backdoor Exclusivity Lifting.
CoRR, 2023

2022
A Simple Meta-learning Paradigm for Zero-shot Intent Classification with Mixture Attention Mechanism.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
High Capacity Information Hiding Method Based on Pixel-value Adjustment with Modulus Operation.
KSII Trans. Internet Inf. Syst., 2021

Kyoto Sightseeing Map 2.0 for User-Experience Oriented Tourism.
Proceedings of the 4th IEEE International Conference on Multimedia Information Processing and Retrieval, 2021

Property Analysis of Stay Points for POI Recommendation.
Proceedings of the Database and Expert Systems Applications, 2021

2020
A City Adaptive Clustering Framework for Discovering POIs with Different Granularities.
Proceedings of the Database and Expert Systems Applications, 2020

2019
User Transition Pattern Analysis for Travel Route Recommendation.
IEICE Trans. Inf. Syst., 2019

2016
Vision-Based Human Tracking Control of a Wheeled Inverted Pendulum Robot.
IEEE Trans. Cybern., 2016

2015
Development and Implementation of a Wheeled Inverted Pendulum Vehicle Using Adaptive Neural Control with Extreme Learning Machines.
Cogn. Comput., 2015


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