Yiliang Zhang

21 papers A* 4A 2Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Hessian-informed hyperparameter optimization for differential learning rate.
CoRR
Shiyun Xu, Zhiqi Bu, Yiliang Zhang, Ian J. Barnett
2024 A* conf
Federated Learning with Extremely Noisy Clients via Negative Distillation.
AAAI
Yang Lu, Lin Chen, Yonggang Zhang, Yiliang Zhang, Bo Han, Yiu-ming Cheung, Hanzi Wang
2024 J jnl
Joint modeling of human cortical structure: Genetic correlation network and composite-trait genetic correlation.
NeuroImage
Jiangnan Shen, Yiliang Zhang, Zhaohan Zhu, Youshu Cheng, Biao Cai, Yize Zhao, Hongyu Zhao
2024 J jnl
Label-noise learning via uncertainty-aware neighborhood sample selection.
Pattern Recognit. Lett.
Yiliang Zhang, Yang Lu, Hanzi Wang
2023 J jnl
Benchmarking of local genetic correlation estimation methods using summary statistics from genome-wide association studies.
Briefings Bioinform.
Chi Zhang, Yiliang Zhang, Yunxuan Zhang, Hongyu Zhao
2023 J jnl
Federated Learning with Extremely Noisy Clients via Negative Distillation.
CoRR
Yang Lu, Lin Chen, Yonggang Zhang, Yiliang Zhang, Bo Han, Yiu-ming Cheung, Hanzi Wang
2023 A* conf
Label-Noise Learning with Intrinsically Long-Tailed Data.
ICCV
Yang Lu, Yiliang Zhang, Bo Han, Yiu-ming Cheung, Hanzi Wang
2023 — conf
MISNN: Multiple Imputation via Semi-parametric Neural Networks.
PAKDD (1)
Zhiqi Bu, Zongyu Dai, Yiliang Zhang, Qi Long
2023 J jnl
MISNN: Multiple Imputation via Semi-parametric Neural Networks.
CoRR
Zhiqi Bu, Zongyu Dai, Yiliang Zhang, Qi Long
2022 — conf
A general kernel boosting framework integrating pathways for predictive modeling based on genomic data.
BCB
Li Zeng, Zhaolong Yu, Yiliang Zhang, Hongyu Zhao
2022 A* conf
An Unconstrained Layer-Peeled Perspective on Neural Collapse.
ICLR
Wenlong Ji, Yiping Lu, Yiliang Zhang, Zhun Deng, Weijie J. Su
2022 J jnl
Combating Noisy-Labeled and Imbalanced Data by Two Stage Bi-Dimensional Sample Selection.
CoRR
Yiliang Zhang, Yang Lu, Bo Han, Yiu-ming Cheung, Hanzi Wang
2021 J jnl
An Unconstrained Layer-Peeled Perspective on Neural Collapse.
CoRR
Wenlong Ji, Yiping Lu, Yiliang Zhang, Zhun Deng, Weijie J. Su
2021 A* conf
Assessing Fairness in the Presence of Missing Data.
NeurIPS
Yiliang Zhang, Qi Long
2021 J jnl
Assessing Fairness in the Presence of Missing Data.
CoRR
Yiliang Zhang, Qi Long
2021 J jnl
Comparison of methods for estimating genetic correlation between complex traits using GWAS summary statistics.
Briefings Bioinform.
Yiliang Zhang, Youshu Cheng, Wei Jiang, Yixuan Ye, Qiongshi Lu, Hongyu Zhao
2021 A conf
Efficient Designs Of SLOPE Penalty Sequences In Finite Dimension.
AISTATS
Yiliang Zhang, Zhiqi Bu
2021 J jnl
Efficient Designs of SLOPE Penalty Sequences in Finite Dimension.
CoRR
Yiliang Zhang, Zhiqi Bu
2021 J jnl
Fairness in Missing Data Imputation.
CoRR
Yiliang Zhang, Qi Long
2020 J jnl
A general kernel boosting framework integrating pathways for predictive modeling based on genomic data.
CoRR
Li Zeng, Zhaolong Yu, Yiliang Zhang, Hongyu Zhao
2020 A conf
Inference of Dynamic Graph Changes for Functional Connectome.
AISTATS
Dingjue Ji, Junwei Lu, Yiliang Zhang, Siyuan Gao, Hongyu Zhao