On dyadic fairness: Exploring and mitigating bias in graph connections P Li, Y Wang, H Zhao, P Hong, H Liu International Conference on Learning Representations, 2020 | 24 | 2020 |
Deep Fair Clustering for Visual Learning P Li, H Zhao, H Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 24 | 2020 |
Two-Stream Multi-Task Network for Fashion Recognition P Li, Y Li, X Jiang, X Zhen 2019 IEEE International Conference on Image Processing (ICIP), 3038-3042, 2019 | 23 | 2019 |
Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking X Jiang, P Li, Y Li, X Zhen arXiv preprint arXiv:1907.05315, 2019 | 17 | 2019 |
SelfDoc: Self-Supervised Document Representation Learning P Li, J Gu, J Kuen, VI Morariu, H Zhao, R Jain, V Manjunatha, H Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 12 | 2021 |
Model-free Tracking with Deep Appearance and Motion Features Integration X Jiang, P Li, X Zhen, X Cao 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 101-110, 2019 | 9 | 2019 |
Multi-Scale Aggregation Network for Direct Face Alignment P Li, A Zhang, L Yue, X Zhen, X Cao 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 2156-2165, 2019 | 7 | 2019 |
Deep Clustering based Fair Outlier Detection H Song, P Li, H Liu Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 4 | 2021 |
Applications of AlphaFold beyond Protein Structure Prediction Y Zhang, P Li, F Pan, H Liu, P Hong, X Liu, J Zhang bioRxiv, 2021 | 4 | 2021 |
Mining Label Distribution Drift in Unsupervised Domain Adaptation P Li, Z Ding, H Liu arXiv preprint arXiv:2006.09565, 2020 | 1 | 2020 |
Code Editing from Few Exemplars by Adaptive Multi-Extent Composition P Li, X Zhang, Z Yao, W Cheng, H Chen, H Liu Deep Learning for Code Workshop, 2022 | | 2022 |
Achieving Fairness at No Utility Cost via Data Reweighing P Li, H Liu arXiv preprint arXiv:2202.00787, 2022 | | 2022 |