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2020 – today
- 2024
[j4]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: 120739 (2024)- [j3]Yiliang Zhang, Yang Lu, Hanzi Wang:
Label-noise learning via uncertainty-aware neighborhood sample selection. Pattern Recognit. Lett. 186: 191-197 (2024) - [c8]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: 14184-14192 - 2023
- [j2]Chi Zhang, Yiliang Zhang, Yunxuan Zhang, Hongyu Zhao:
Benchmarking of local genetic correlation estimation methods using summary statistics from genome-wide association studies. Briefings Bioinform. 24(6) (2023) - [c7]Yang Lu, Yiliang Zhang, Bo Han, Yiu-Ming Cheung, Hanzi Wang:
Label-Noise Learning with Intrinsically Long-Tailed Data. ICCV 2023: 1369-1378 - [c6]Zhiqi Bu, Zongyu Dai, Yiliang Zhang, Qi Long:
MISNN: Multiple Imputation via Semi-parametric Neural Networks. PAKDD (1) 2023: 430-442 - [i8]Zhiqi Bu, Zongyu Dai, Yiliang Zhang, Qi Long:
MISNN: Multiple Imputation via Semi-parametric Neural Networks. CoRR abs/2305.01794 (2023) - [i7]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 abs/2312.12703 (2023) - 2022
- [c5]Li Zeng, Zhaolong Yu, Yiliang Zhang, Hongyu Zhao:
A general kernel boosting framework integrating pathways for predictive modeling based on genomic data. BCB 2022: 48:1-48:8 - [c4]Wenlong Ji, Yiping Lu, Yiliang Zhang, Zhun Deng, Weijie J. Su:
An Unconstrained Layer-Peeled Perspective on Neural Collapse. ICLR 2022 - [i6]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 abs/2208.09833 (2022) - 2021
- [j1]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) - [c3]Yiliang Zhang, Zhiqi Bu:
Efficient Designs Of SLOPE Penalty Sequences In Finite Dimension. AISTATS 2021: 3277-3285 - [c2]Yiliang Zhang, Qi Long:
Assessing Fairness in the Presence of Missing Data. NeurIPS 2021: 16007-16019 - [i5]Yiliang Zhang, Zhiqi Bu:
Efficient Designs of SLOPE Penalty Sequences in Finite Dimension. CoRR abs/2102.07211 (2021) - [i4]Wenlong Ji, Yiping Lu, Yiliang Zhang, Zhun Deng, Weijie J. Su:
An Unconstrained Layer-Peeled Perspective on Neural Collapse. CoRR abs/2110.02796 (2021) - [i3]Yiliang Zhang, Qi Long:
Fairness in Missing Data Imputation. CoRR abs/2110.12002 (2021) - [i2]Yiliang Zhang, Qi Long:
Assessing Fairness in the Presence of Missing Data. CoRR abs/2112.04899 (2021) - 2020
- [c1]Dingjue Ji, Junwei Lu, Yiliang Zhang, Siyuan Gao, Hongyu Zhao:
Inference of Dynamic Graph Changes for Functional Connectome. AISTATS 2020: 3230-3240 - [i1]Li Zeng, Zhaolong Yu, Yiliang Zhang, Hongyu Zhao:
A general kernel boosting framework integrating pathways for predictive modeling based on genomic data. CoRR abs/2008.11384 (2020)
Coauthor Index
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