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Peizhao Li
Peizhao Li
Ph.D. Candidate, Brandeis University
Verified email at brandeis.edu - Homepage
Title
Cited by
Cited by
Year
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
1042021
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
982021
Deep Fair Clustering for Visual Learning
P Li, H Zhao, H Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
702020
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
402019
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
302019
Achieving Fairness at No Utility Cost via Data Reweighing with Influence
P Li, H Liu
International Conference on Machine Learning, 2022
29*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
252021
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
232022
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
112021
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
112019
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
92019
Characterizing the Influence of Graph Elements
Z Chen, P Li, H Liu, P Hong
arXiv preprint arXiv:2210.07441, 2022
82022
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework
A Chhabra, P Li, P Mohapatra, H Liu
arXiv preprint arXiv:2210.01953, 2022
72022
Mining label distribution drift in unsupervised domain adaptation
P Li, Z Ding, H Liu
Australasian Joint Conference on Artificial Intelligence, 354-366, 2023
22023
Learning Antidote Data to Individual Unfairness
P Li, E Xia, H Liu
International Conference on Machine Learning, 20168-20181, 2023
22023
Dual Node and Edge Fairness-Aware Graph Partition
T Liu, P Li, H Liu
arXiv preprint arXiv:2306.10123, 2023
2023
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
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Articles 1–17