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Peizhao Li
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2020 – today
- 2024
- [j3]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: 106773 (2024) - [j2]Jieming Liu, Peizhao Li, Xiaowei Liu:
Patent lifetime prediction using LightGBM with a customized loss. PeerJ Comput. Sci. 10: e2044 (2024) - [c16]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:
Rich Human Feedback for Text-to-Image Generation. CVPR 2024: 19401-19411 - [c15]Mohammad Mahbubur Rahman, Ryoma Yataka, Sorachi Kato, Pu Wang, Peizhao Li, Adriano Cardace, Petros Boufounos:
MMVR: Millimeter-Wave Multi-view Radar Dataset and Benchmark for Indoor Perception. ECCV (79) 2024: 306-322 - [c14]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 - [i15]Mohammad 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 abs/2406.10708 (2024) - 2023
- [c13]Peizhao Li, Zhengming Ding, Hongfu Liu:
Mining Label Distribution Drift in Unsupervised Domain Adaptation. AI (1) 2023: 354-366 - [c12]Zizhang Chen, Peizhao Li, Hongfu Liu, Pengyu Hong:
Characterizing the Influence of Graph Elements. ICLR 2023 - [c11]Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu:
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework. ICLR 2023 - [c10]Peizhao Li, Ethan Xia, Hongfu Liu:
Learning Antidote Data to Individual Unfairness. ICML 2023: 20168-20181 - [i14]Tingwei Liu, Peizhao Li, Hongfu Liu:
Dual Node and Edge Fairness-Aware Graph Partition. CoRR abs/2306.10123 (2023) - [i13]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 abs/2312.10175 (2023) - [i12]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 abs/2312.10240 (2023) - 2022
- [c9]Peizhao Li, Pu Wang, Karl Berntorp, Hongfu Liu:
Exploiting Temporal Relations on Radar Perception for Autonomous Driving. CVPR 2022: 17050-17059 - [c8]Peizhao Li, Hongfu Liu:
Achieving Fairness at No Utility Cost via Data Reweighing with Influence. ICML 2022: 12917-12930 - [i11]Peizhao Li, Hongfu Liu:
Achieving Fairness at No Utility Cost via Data Reweighing. CoRR abs/2202.00787 (2022) - [i10]Peizhao Li, Pu Wang, Karl Berntorp, Hongfu Liu:
Exploiting Temporal Relations on Radar Perception for Autonomous Driving. CoRR abs/2204.01184 (2022) - [i9]Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu:
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework. CoRR abs/2210.01953 (2022) - [i8]Zizhang Chen, Peizhao Li, Hongfu Liu, Pengyu Hong:
Characterizing the Influence of Graph Elements. CoRR abs/2210.07441 (2022) - [i7]Peizhao Li, Ethan Xia, Hongfu Liu:
Learning Antidote Data to Individual Unfairness. CoRR abs/2211.15897 (2022) - 2021
- [c7]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: 5652-5660 - [c6]Peizhao Li, Yifei Wang, Han Zhao, Pengyu Hong, Hongfu Liu:
On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections. ICLR 2021 - [c5]Hanyu Song, Peizhao Li, Hongfu Liu:
Deep Clustering based Fair Outlier Detection. KDD 2021: 1481-1489 - [i6]Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu:
SelfDoc: Self-Supervised Document Representation Learning. CoRR abs/2106.03331 (2021) - [i5]Hanyu Song, Peizhao Li, Hongfu Liu:
Deep Clustering based Fair Outlier Detection. CoRR abs/2106.05127 (2021) - 2020
- [j1]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. 67-I(12): 5031-5039 (2020) - [c4]Peizhao Li, Han Zhao, Hongfu Liu:
Deep Fair Clustering for Visual Learning. CVPR 2020: 9067-9076 - [i4]Peizhao Li, Zhengming Ding, Hongfu Liu:
Mining Label Distribution Drift in Unsupervised Domain Adaptation. CoRR abs/2006.09565 (2020)
2010 – 2019
- 2019
- [c3]Peizhao Li, Yanjing Li, Xiaolong Jiang, Xiantong Zhen:
Two-Stream Multi-Task Network for Fashion Recognition. ICIP 2019: 3038-3042 - [c2]Xiaolong Jiang, Peizhao Li, Xiantong Zhen, Xianbin Cao:
Model-Free Tracking With Deep Appearance and Motion Features Integration. WACV 2019: 101-110 - [c1]Peizhao Li, Anran Zhang, Lei Yue, Xiantong Zhen, Xianbin Cao:
Multi-Scale Aggregation Network for Direct Face Alignment. WACV 2019: 2156-2165 - [i3]Peizhao Li, Yanjing Li, Xiaolong Jiang, Xiantong Zhen:
Two-Stream Multi-Task Network for Fashion Recognition. CoRR abs/1901.10172 (2019) - [i2]Xiaolong Jiang, Peizhao Li, Yanjing Li, Xiantong Zhen:
Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking. CoRR abs/1907.05315 (2019) - 2018
- [i1]Xiaolong Jiang, Peizhao Li, Xiantong Zhen, Xianbin Cao:
Model-free Tracking with Deep Appearance and Motion Features Integration. CoRR abs/1812.06418 (2018)
Coauthor Index
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last updated on 2024-12-23 19:27 CET by the dblp team
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