Xueying Zhan

According to our database, Xueying Zhan authored at least 14 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

AutoAL: Automated Active Learning with Differentiable Query Strategy Search.

Yifeng Wang, Xueying Zhan, Siyu Huang

CoRR, 2024

CryoMAE: Few-Shot Cryo-EM Particle Picking with Masked Autoencoders.

Chentianye Xu, Xueying Zhan, Min Xu

CoRR, 2024

Deep Active Learning with Noise Stability.

Xingjian Li, Pengkun Yang, Yangcheng Gu, Xueying Zhan, Tianyang Wang, Min Xu, Chengzhong Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Near-infrared optoelectronic synapses based on a Te/α-In2Se3 heterojunction for neuromorphic computing.

Tao Yan, Yuchen Cai, Yanrong Wang, Jia Yang, Shuhui Li, Xueying Zhan, Fengmei Wang, Ruiqing Cheng, Feng Wang, Jun He, Zhenxing Wang

Sci. China Inf. Sci., June, 2023

Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios.

Xueying Zhan, Zeyu Dai, Qingzhong Wang, Qing Li, Haoyi Xiong, Dejing Dou, Antoni B. Chan

Trans. Mach. Learn. Res., 2023

2022

Deep Active Learning with Noise Stability.

Xingjian Li, Pengkun Yang, Tianyang Wang, Xueying Zhan, Min Xu, Dejing Dou, Chengzhong Xu

CoRR, 2022

A Comparative Survey of Deep Active Learning.

Xueying Zhan, Qingzhong Wang, Kuan-Hao Huang, Haoyi Xiong, Dejing Dou, Antoni B. Chan

CoRR, 2022

Asymptotic optimality for active learning processes.

Xueying Zhan, Yaowei Wang, Antoni B. Chan

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

Multiple-criteria Based Active Learning with Fixed-size Determinantal Point Processes.

Xueying Zhan, Qing Li, Antoni B. Chan

CoRR, 2021

A Comparative Survey: Benchmarking for Pool-based Active Learning.

Xueying Zhan, Huan Liu, Qing Li, Antoni B. Chan

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

ALdataset: a benchmark for pool-based active learning.

Xueying Zhan, Antoni Bert Chan

CoRR, 2020

2019

Learning from Multi-annotator Data: A Noise-aware Classification Framework.

Xueying Zhan, Yaowei Wang, Yanghui Rao, Qing Li

ACM Trans. Inf. Syst., 2019

2017

A Network Framework for Noisy Label Aggregation in Social Media.

Xueying Zhan, Yaowei Wang, Yanghui Rao, Haoran Xie, Qing Li, Fu Lee Wang, Tak-Lam Wong

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Sentiment and emotion classification over noisy labels.

Yaowei Wang, Yanghui Rao, Xueying Zhan, Huijun Chen, Maoquan Luo, Jian Yin

Knowl. Based Syst., 2016