| 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 | 174 | 2021 |
| 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, 2021 | 137 | 2021 |
| Deep Fair Clustering for Visual Learning P Li, H Zhao, H Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 78 | 2020 |
| Achieving Fairness at No Utility Cost via Data Reweighing with Influence P Li, H Liu International Conference on Machine Learning, 2022 | 66 | 2022 |
| 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 | 46 | 2019 |
| Exploiting Temporal Relations on Radar Perception for Autonomous Driving P Li, P Wang, K Berntorp, H Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 43 | 2022 |
| Deep Clustering based Fair Outlier Detection H Song, P Li, H Liu Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 37 | 2021 |
| 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 | 36 | 2019 |
| Rich human feedback for text-to-image generation Y Liang, J He, G Li, P Li, A Klimovskiy, N Carolan, J Sun, J Pont-Tuset, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 33 | 2024 |
| Robust fair clustering: A novel fairness attack and defense framework A Chhabra, P Li, P Mohapatra, H Liu The Eleventh International Conference on Learning Representations, 2022 | 23 | 2022 |
| Characterizing the Influence of Graph Elements Z Chen, P Li, H Liu, P Hong arXiv preprint arXiv:2210.07441, 2022 | 19 | 2022 |
| Applications of AlphaFold beyond protein structure prediction Y Zhang, P Li, F Pan, H Liu, P Hong, X Liu, J Zhang bioRxiv, 2021.11. 03.467194, 2021 | 19 | 2021 |
| Learning Antidote Data to Individual Unfairness P Li, E Xia, H Liu International Conference on Machine Learning, 20168-20181, 2023 | 11 | 2023 |
| 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 | 11 | 2019 |
| " What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection A Chhabra, P Li, P Mohapatra, H Liu The Twelfth International Conference on Learning Representations, 2024 | 10 | 2024 |
| 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 | 9 | 2019 |
| UniAR: Unifying Human Attention and Response Prediction on Visual Content P Li, J He, G Li, R Bhargava, S Shen, N Valliappan, Y Liang, H Gu, ... arXiv preprint arXiv:2312.10175, 2023 | 3 | 2023 |
| Mining label distribution drift in unsupervised domain adaptation P Li, Z Ding, H Liu Australasian Joint Conference on Artificial Intelligence, 354-366, 2023 | 2 | 2023 |
| Dual Node and Edge Fairness-Aware Graph Partition T Liu, P Li, H Liu arXiv preprint arXiv:2306.10123, 2023 | 2 | 2023 |
| MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor Perception MM Rahman, R Yataka, S Kato, P Wang, P Li, A Cardace, P Boufounos European Conference on Computer Vision, 306-322, 2025 | | 2025 |