Yaqian Zhang

16 papers A* 2A 2B 1Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Policy Gradient with Adaptive Entropy Annealing for Continual Fine-Tuning.
CoRR
Yaqian Zhang, Bernhard Pfahringer, Eibe Frank, Albert Bifet
2025 J jnl
Interpretable inverse iteration mean shift networks for clustering tasks.
Neural Networks
Bingjie Zhang, Zihan Yu, Jian Wang, Maciej Zelaszczyk, Yaqian Zhang, Jacek Mandziuk, Chao Zhang, Witold Pedrycz
2025 A* conf
Kolmogorov-Arnold Networks Still Catastrophically Forget but Differently from MLP.
AAAI
Anton Lee, Heitor Murilo Gomes, Yaqian Zhang, W. Bastiaan Kleijn
2025 J jnl
Rethinking Memory in Continual Learning: Beyond a Monolithic Store of the Past.
Trans. Mach. Learn. Res.
Yaqian Zhang, Bernhard Pfahringer, Eibe Frank, Albert Bifet
2023 A conf
Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning.
CIKM
Anton Lee, Yaqian Zhang, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
2023 J jnl
Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning.
CoRR
Anton Lee, Yaqian Zhang, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
2022 A* conf
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal.
NeurIPS
Yaqian Zhang, Bernhard Pfahringer, Eibe Frank, Albert Bifet, Nick Jin Sean Lim, Yunzhe Jia
2022 J jnl
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal.
CoRR
Yaqian Zhang, Bernhard Pfahringer, Eibe Frank, Albert Bifet, Nick Jin Sean Lim, Yunzhe Jia
2022 B conf
Balancing the Stability-Plasticity Dilemma with Online Stability Tuning for Continual Learning.
IJCNN
Anton Lee, Heitor Murilo Gomes, Yaqian Zhang
2021 J jnl
Personalized task difficulty adaptation based on reinforcement learning.
User Model. User Adapt. Interact.
Yaqian Zhang, Wooi-Boon Goh
2019 A conf
Bootstrapped Policy Gradient for Difficulty Adaptation in Intelligent Tutoring Systems.
AAMAS
Yaqian Zhang, Wooi-Boon Goh
2018 J jnl
The influence of peer accountability on attention during gameplay.
Comput. Hum. Behav.
Yaqian Zhang, Wooi-Boon Goh
2017 J jnl
Curvature-based method for determining the number of clusters.
Inf. Sci.
Yaqian Zhang, Jacek Mandziuk, Hiok Chai Quek, Wooi-Boon Goh
2016 J jnl
A Graph-Based Semi-Supervised k Nearest-Neighbor Method for Nonlinear Manifold Distributed Data Classification.
CoRR
Enmei Tu, Yaqian Zhang, Lin Zhu, Jie Yang, Nikola K. Kasabov
2016 J jnl
A graph-based semi-supervised k nearest-neighbor method for nonlinear manifold distributed data classification.
Inf. Sci.
Enmei Tu, Yaqian Zhang, Lin Zhu, Jie Yang, Nikola K. Kasabov
2015 J jnl
Posterior Distribution Learning (PDL): A novel supervised learning framework using unlabeled samples to improve classification performance.
Neurocomputing
Enmei Tu, Jie Yang, Nikola K. Kasabov, Yaqian Zhang