Hongliang Yan

Researcher, Guangzhou National Lab

Joined

July 2019

Names

Hongliang Yan

Emails

****@gmail.com (Confirmed)

****@pjlab.org.cn (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

Guangzhou National Lab (gzlab.ac.cn)

2024 – Present

Postdoc

Shanghai Artificial Intelligence Lab (pjlab.org.cn)

2022 – 2024

PhD student

Harbin Institute of Technology (hit.edu.cn)

2015 – 2022

Advisors, Relations & Conflicts

Postdoc Advisor

Ouyang Wanli

2022 – Present

PhD Advisor

Wangmeng Zuo

2015 – 2022

Expertise

domain adaptation

Present

transfer learning

Present

bioinformatics

Present

AI4Bio

Present

Publications

scMRDR: A scalable and flexible framework for unpaired single-cell multi-omics data integration
Jianle Sun, Chaoqi Liang, Ran Wei, Peng Zheng, LEI BAI, Wanli Ouyang, Hongliang Yan, Peng Ye
- NeurIPS 2025 spotlight
- Readers: Everyone
BEACON: Benchmark for Comprehensive RNA Tasks and Language Models
Yuchen Ren, Zhiyuan Chen, Lifeng Qiao, Hongtai Jing, Yuchen Cai, Sheng Xu, Peng Ye, Xinzhu Ma, Siqi Sun, Hongliang Yan, Dong Yuan, Wanli Ouyang, Xihui Liu
- NeurIPS 2024 Track Datasets and Benchmarks Poster
- Readers: Everyone
Rethinking cross-domain pedestrian detection: a background-focused distribution alignment framework for instance-free one-stage detectors
Yancheng Cai, Bo Zhang, Baopu Li, Tao Chen, Hongliang Yan, Jingdong Zhang
- 22 Oct 2023 (modified: 17 Nov 2023)
- OpenReview Archive Direct Upload
- Readers: Everyone
Rethinking the bert-like pretraining for dna sequences
chaoqi liang, Weiqiang Bai, Lifeng Qiao, Yuchen Ren, Jianle Sun, Peng Ye, Hongliang Yan, Xinzhu Ma, Wangmeng Zuo, Wanli Ouyang
- Submitted to ICLR 2024
- Readers: Everyone
Rethinking Cross-Domain Pedestrian Detection: A Background-Focused Distribution Alignment Framework for One-Stage Detectors
Yancheng Cai, Bo Zhang, Baopu Li, Tao Chen, Hongliang Yan, Jingdong Zhang
- 16 Nov 2022
- OpenReview Archive Direct Upload
- Readers: Everyone
Weighted and class-specific maximum mean discrepancy for unsupervised domain adaptation
Hongliang Yan
- 02 Nov 2022
- OpenReview Archive Direct Upload
- Readers: Everyone
Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation
Hongliang Yan, Yukang Ding, Peihua Li, Qilong Wang, Yong Xu, Wangmeng Zuo
- 2017 (modified: 10 Nov 2022)
- CVPR 2017
- Readers: Everyone

Co-Authors

View all 29 co-authors

Hongliang Yan

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

scMRDR: A scalable and flexible framework for unpaired single-cell multi-omics data integration

BEACON: Benchmark for Comprehensive RNA Tasks and Language Models

Rethinking cross-domain pedestrian detection: a background-focused distribution alignment framework for instance-free one-stage detectors

Rethinking the bert-like pretraining for dna sequences

Rethinking Cross-Domain Pedestrian Detection: A Background-Focused Distribution Alignment Framework for One-Stage Detectors

Weighted and class-specific maximum mean discrepancy for unsupervised domain adaptation

Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation

Co-Authors