Peizhao Li

According to our database, Peizhao Li authored at least 23 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Patent lifetime prediction using LightGBM with a customized loss.

Jieming Liu, Peizhao Li, Xiaowei Liu

PeerJ Comput. Sci., 2024

Adaptive edge prior-based deep attention residual network for low-dose CT image denoising.

Tong Wu, Peizhao Li, Jie Sun, Binh P. Nguyen

Biomed. Signal Process. Control., 2024

"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection.

Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MMVR: Millimeter-Wave Multi-view Radar Dataset and Benchmark for Indoor Perception.

Mohammad Mahbubur Rahman, Ryoma Yataka, Sorachi Kato, Pu Wang, Peizhao Li, Adriano Cardace, Petros Boufounos

Proceedings of the Computer Vision - ECCV 2024, 2024

Rich Human Feedback for Text-to-Image Generation.

Youwei Liang, Junfeng He, Gang Li, Peizhao Li, Arseniy Klimovskiy, Nicholas Carolan, Jiao Sun, Jordi Pont-Tuset, Sarah Young, Feng Yang, Junjie Ke, Krishnamurthy Dj Dvijotham, Katherine M. Collins, Yiwen Luo, Yang Li, Kai J. Kohlhoff, Deepak Ramachandran, Vidhya Navalpakkam

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

UniAR: Unifying Human Attention and Response Prediction on Visual Content.

Peizhao Li, Junfeng He, Gang Li, Rachit Bhargava, Shaolei Shen, Nachiappan Valliappan, Youwei Liang, Hongxiang Gu, Venky Ramachandran, Golnaz Farhadi, Yang Li, Kai J. Kohlhoff, Vidhya Navalpakkam

CoRR, 2023

Dual Node and Edge Fairness-Aware Graph Partition.

Tingwei Liu, Peizhao Li, Hongfu Liu

CoRR, 2023

Learning Antidote Data to Individual Unfairness.

Peizhao Li, Ethan Xia, Hongfu Liu

Proceedings of the International Conference on Machine Learning, 2023

Robust Fair Clustering: A Novel Fairness Attack and Defense Framework.

Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Characterizing the Influence of Graph Elements.

Zizhang Chen, Peizhao Li, Hongfu Liu, Pengyu Hong

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Mining Label Distribution Drift in Unsupervised Domain Adaptation.

Peizhao Li, Zhengming Ding, Hongfu Liu

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022

Achieving Fairness at No Utility Cost via Data Reweighing.

Peizhao Li, Hongfu Liu

CoRR, 2022

Achieving Fairness at No Utility Cost via Data Reweighing with Influence.

Peizhao Li, Hongfu Liu

Proceedings of the International Conference on Machine Learning, 2022

Exploiting Temporal Relations on Radar Perception for Autonomous Driving.

Peizhao Li, Pu Wang, Karl Berntorp, Hongfu Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Deep Clustering based Fair Outlier Detection.

Hanyu Song, Peizhao Li, Hongfu Liu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections.

Peizhao Li, Yifei Wang, Han Zhao, Pengyu Hong, Hongfu Liu

Proceedings of the 9th International Conference on Learning Representations, 2021

SelfDoc: Self-Supervised Document Representation Learning.

Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Phase Shifter-Relaxed and Control-Relaxed Continuous Steering Multiple Beamforming 4 × 4 Butler Matrix Phased Array.

Han Ren, Peizhao Li, Yixin Gu, Bayaner Arigong

IEEE Trans. Circuits Syst., 2020

Deep Fair Clustering for Visual Learning.

Peizhao Li, Han Zhao, Hongfu Liu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking.

Xiaolong Jiang, Peizhao Li, Yanjing Li, Xiantong Zhen

CoRR, 2019

Multi-Scale Aggregation Network for Direct Face Alignment.

Peizhao Li, Anran Zhang, Lei Yue, Xiantong Zhen, Xianbin Cao

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Model-Free Tracking With Deep Appearance and Motion Features Integration.

Xiaolong Jiang, Peizhao Li, Xiantong Zhen, Xianbin Cao

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Two-Stream Multi-Task Network for Fashion Recognition.

Peizhao Li, Yanjing Li, Xiaolong Jiang, Xiantong Zhen

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019