Yaqian Zhang

Orcid: 0000-0002-8594-4697

According to our database1, Yaqian Zhang authored at least 30 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Skeleton-RGB integrated highly similar human action prediction in human-robot collaborative assembly.
Robotics Comput. Integr. Manuf., April, 2024

Statistical A2G Coverage Characteristics in Dynamic Fixed-Wing UAV Networks.
IEEE Wirel. Commun. Lett., March, 2024

New Centralized MSR Codes With Small Sub-packetization.
CoRR, 2024

2023
Folded Polynomial Codes for Coded Distributed AA<sup>⊤</sup>-Type Matrix Multiplication.
IEEE Trans. Commun., September, 2023

Codes with Biochemical Constraints and Single Error Correction for DNA-Based Data Storage.
CoRR, 2023

Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
A hybrid tensor factorization approach for QoS prediction in time-aware mobile edge computing.
Appl. Intell., 2022

Lot-sizing decisions for material requirements planning with hybrid uncertainties in a smart factory.
Adv. Eng. Informatics, 2022

Human-object integrated assembly intention recognition for context-aware human-robot collaborative assembly.
Adv. Eng. Informatics, 2022

A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Balancing the Stability-Plasticity Dilemma with Online Stability Tuning for Continual Learning.
Proceedings of the International Joint Conference on Neural Networks, 2022

A non-invasive Fault Location Method for Modular Multilevel Converters under Light Load Conditions.
Proceedings of the IECON 2022, 2022

2021
Personalized task difficulty adaptation based on reinforcement learning.
User Model. User Adapt. Interact., 2021

Leveraging the Coupling of Radio Access Network and mmWave Backhaul Network: Modeling and Optimization.
IEEE Trans. Veh. Technol., 2021

Maize and soybean heights estimation from unmanned aerial vehicle (UAV) LiDAR data.
Comput. Electron. Agric., 2021

Adaptive Dynamic Surface Control for a Class of Dead-Zone Nonlinear Systems via Output Feedback.
IEEE Access, 2021

2020
Understanding and improving interactive systems design with human-in-the-loop machine learning
PhD thesis, 2020

Scalar MSCR Codes via the Product Matrix Construction.
IEEE Trans. Inf. Theory, 2020

Fault Diagnosis and Monitoring of Modular Multilevel Converter With Fast Response of Voltage Sensors.
IEEE Trans. Ind. Electron., 2020

Explicit Constructions of Optimal-Access MSCR Codes for All Parameters.
IEEE Commun. Lett., 2020

2019
A Capacity-Achieving T-PIR Scheme Based On MDS Array Codes.
Proceedings of the IEEE International Symposium on Information Theory, 2019

An Improved Cooperative Repair Scheme for Reed-Solomon Codes.
Proceedings of the 19th International Symposium on Communications and Information Technologies, 2019

Effect of Interference Correlation on the Performance of Ultra-Dense Networks.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Wireless Backhaul: Intrinsic Bottleneck of Ultra-Dense Networks?
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Bootstrapped Policy Gradient for Difficulty Adaptation in Intelligent Tutoring Systems.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
The influence of peer accountability on attention during gameplay.
Comput. Hum. Behav., 2018

A Resonant Gate Driver for Silicon Carbide MOSFETs.
IEEE Access, 2018

2017
Curvature-based method for determining the number of clusters.
Inf. Sci., 2017

2016
A graph-based semi-supervised k nearest-neighbor method for nonlinear manifold distributed data classification.
Inf. Sci., 2016

2015
Posterior Distribution Learning (PDL): A novel supervised learning framework using unlabeled samples to improve classification performance.
Neurocomputing, 2015


  Loading...