Peizhao Li

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 32

Top Topics

Visual Learning

Temporal Relations

Image Generation

Top Venues

Publications

Tong Wu, Peizhao Li, Jie Sun, Binh P. Nguyen
Adaptive edge prior-based deep attention residual network for low-dose CT image denoising. Biomed. Signal Process. Control. 98 (2024)
Jieming Liu, Peizhao Li, Xiaowei Liu
Patent lifetime prediction using LightGBM with a customized loss. PeerJ Comput. Sci. 10 (2024)
M. Mahbubur Rahman, Ryoma Yataka, Sorachi Kato, Pu (Perry) Wang, Peizhao Li, Adriano Cardace, Petros Boufounos
MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor Perception. CoRR (2024)
Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu
"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection. ICLR (2024)
Peizhao Li, Ethan Xia, Hongfu Liu
Learning Antidote Data to Individual Unfairness. ICML (2023)
Peizhao Li, Zhengming Ding, Hongfu Liu
Mining Label Distribution Drift in Unsupervised Domain Adaptation. AI (1) (2023)
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, Katie Collins, Yiwen Luo, Yang Li, Kai J. Kohlhoff, Deepak Ramachandran, Vidhya Navalpakkam
Rich Human Feedback for Text-to-Image Generation. CoRR (2023)
Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework. ICLR (2023)
Tingwei Liu, Peizhao Li, Hongfu Liu
Dual Node and Edge Fairness-Aware Graph Partition. CoRR (2023)
Zizhang Chen, Peizhao Li, Hongfu Liu, Pengyu Hong
Characterizing the Influence of Graph Elements. ICLR (2023)
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
UniAR: Unifying Human Attention and Response Prediction on Visual Content. CoRR (2023)
Peizhao Li, Hongfu Liu
Achieving Fairness at No Utility Cost via Data Reweighing with Influence. ICML (2022)
Zizhang Chen, Peizhao Li, Hongfu Liu, Pengyu Hong
Characterizing the Influence of Graph Elements. CoRR (2022)
Peizhao Li, Pu Wang, Karl Berntorp, Hongfu Liu
Exploiting Temporal Relations on Radar Perception for Autonomous Driving. CoRR (2022)
Peizhao Li, Pu Wang, Karl Berntorp, Hongfu Liu
Exploiting Temporal Relations on Radar Perception for Autonomous Driving. CVPR (2022)
Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework. CoRR (2022)
Peizhao Li, Hongfu Liu
Achieving Fairness at No Utility Cost via Data Reweighing. CoRR (2022)
Peizhao Li, Ethan Xia, Hongfu Liu
Learning Antidote Data to Individual Unfairness. CoRR (2022)
Hanyu Song, Peizhao Li, Hongfu Liu
Deep Clustering based Fair Outlier Detection. KDD (2021)
Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu
SelfDoc: Self-Supervised Document Representation Learning. CVPR (2021)
Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu
SelfDoc: Self-Supervised Document Representation Learning. CoRR (2021)
Hanyu Song, Peizhao Li, Hongfu Liu
Deep Clustering based Fair Outlier Detection. CoRR (2021)
Peizhao Li, Yifei Wang, Han Zhao, Pengyu Hong, Hongfu Liu
On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections. ICLR (2021)
Peizhao Li, Zhengming Ding, Hongfu Liu
Mining Label Distribution Drift in Unsupervised Domain Adaptation. CoRR (2020)
Peizhao Li, Han Zhao, Hongfu Liu
Deep Fair Clustering for Visual Learning. CVPR (2020)
Han Ren, Peizhao Li, Yixin Gu, Bayaner Arigong
Phase Shifter-Relaxed and Control-Relaxed Continuous Steering Multiple Beamforming 4 × 4 Butler Matrix Phased Array. IEEE Trans. Circuits Syst. (12) (2020)
Peizhao Li, Anran Zhang, Lei Yue, Xiantong Zhen, Xianbin Cao
Multi-Scale Aggregation Network for Direct Face Alignment. WACV (2019)
Peizhao Li, Yanjing Li, Xiaolong Jiang, Xiantong Zhen
Two-Stream Multi-Task Network for Fashion Recognition. ICIP (2019)
Xiaolong Jiang, Peizhao Li, Xiantong Zhen, Xianbin Cao
Model-Free Tracking With Deep Appearance and Motion Features Integration. WACV (2019)
Xiaolong Jiang, Peizhao Li, Yanjing Li, Xiantong Zhen
Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking. CoRR (2019)
Peizhao Li, Yanjing Li, Xiaolong Jiang, Xiantong Zhen
Two-Stream Multi-Task Network for Fashion Recognition. CoRR (2019)
Xiaolong Jiang, Peizhao Li, Xiantong Zhen, Xianbin Cao
Model-free Tracking with Deep Appearance and Motion Features Integration. CoRR (2018)