Yiliang Zhang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 18

Top Topics

Weighted Least Squares

Multiple Imputation

Data Imputation

Top Venues

Briefings Bioinform.

Publications

Yang Lu, Lin Chen, Yonggang Zhang, Yiliang Zhang, Bo Han, Yiu-ming Cheung, Hanzi Wang
Federated Learning with Extremely Noisy Clients via Negative Distillation. AAAI (2024)
Jiangnan Shen, Yiliang Zhang, Zhaohan Zhu, Youshu Cheng, Biao Cai, Yize Zhao, Hongyu Zhao
Joint modeling of human cortical structure: Genetic correlation network and composite-trait genetic correlation. NeuroImage 297 (2024)
Zhiqi Bu, Zongyu Dai, Yiliang Zhang, Qi Long
MISNN: Multiple Imputation via Semi-parametric Neural Networks. CoRR (2023)
Zhiqi Bu, Zongyu Dai, Yiliang Zhang, Qi Long
MISNN: Multiple Imputation via Semi-parametric Neural Networks. PAKDD (1) (2023)
Yang Lu, Yiliang Zhang, Bo Han, Yiu-Ming Cheung, Hanzi Wang
Label-Noise Learning with Intrinsically Long-Tailed Data. ICCV (2023)
Yang Lu, Lin Chen, Yonggang Zhang, Yiliang Zhang, Bo Han, Yiu-ming Cheung, Hanzi Wang
Federated Learning with Extremely Noisy Clients via Negative Distillation. CoRR (2023)
Li Zeng, Zhaolong Yu, Yiliang Zhang, Hongyu Zhao
A general kernel boosting framework integrating pathways for predictive modeling based on genomic data. BCB (2022)
Wenlong Ji, Yiping Lu, Yiliang Zhang, Zhun Deng, Weijie J. Su
An Unconstrained Layer-Peeled Perspective on Neural Collapse. ICLR (2022)
Yiliang Zhang, Yang Lu, Bo Han, Yiu-ming Cheung, Hanzi Wang
Combating Noisy-Labeled and Imbalanced Data by Two Stage Bi-Dimensional Sample Selection. CoRR (2022)
Yiliang Zhang, Qi Long
Assessing Fairness in the Presence of Missing Data. CoRR (2021)
Yiliang Zhang, Zhiqi Bu
Efficient Designs Of SLOPE Penalty Sequences In Finite Dimension. AISTATS (2021)
Yiliang Zhang, Zhiqi Bu
Efficient Designs of SLOPE Penalty Sequences in Finite Dimension. CoRR (2021)
Wenlong Ji, Yiping Lu, Yiliang Zhang, Zhun Deng, Weijie J. Su
An Unconstrained Layer-Peeled Perspective on Neural Collapse. CoRR (2021)
Yiliang Zhang, Youshu Cheng, Wei Jiang, Yixuan Ye, Qiongshi Lu, Hongyu Zhao
Comparison of methods for estimating genetic correlation between complex traits using GWAS summary statistics. Briefings Bioinform. 22 (5) (2021)
Yiliang Zhang, Qi Long
Fairness in Missing Data Imputation. CoRR (2021)
Yiliang Zhang, Qi Long
Assessing Fairness in the Presence of Missing Data. NeurIPS (2021)
Li Zeng, Zhaolong Yu, Yiliang Zhang, Hongyu Zhao
A general kernel boosting framework integrating pathways for predictive modeling based on genomic data. CoRR (2020)
Dingjue Ji, Junwei Lu, Yiliang Zhang, Siyuan Gao, Hongyu Zhao
Inference of Dynamic Graph Changes for Functional Connectome. AISTATS (2020)