Yaqian Zhang

Orcid: 0000-0002-8594-4697

Affiliations:
  • University of Waikato, Artificial Intelligence Institute, Hamilton, New Zealand
  • Nanyang Technological University, School of Computer Science and Engineering, Singapore (PhD 2020)
  • Shanghai Jiao Tong University, Department of Electronic Engineering, Shanghai, China (2011 - 2015)


According to our database1, Yaqian Zhang authored at least 13 papers between 2015 and 2026.

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Timeline

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Bibliography

2026
Policy Gradient with Adaptive Entropy Annealing for Continual Fine-Tuning.
CoRR, February, 2026

2025
Rethinking Memory in Continual Learning: Beyond a Monolithic Store of the Past.
Trans. Mach. Learn. Res., 2025

Interpretable inverse iteration mean shift networks for clustering tasks.
Neural Networks, 2025

Kolmogorov-Arnold Networks Still Catastrophically Forget but Differently from MLP.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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 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

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

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

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


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