Peizhao Li
13 papers · 2020–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (35) π Academic Marathon Β· Sprint π£ Hot Topic Early Bird
π
Renaissance Researcher
(6)
π₯
Unstoppable Β· Bronze
β
The Questioner
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(78)
Top co-authors
Research topics
Machine Learning
(11)
Artificial Intelligence
(9)
Core AI
(9)
Deep Learning
(6)
Application Areas
(6)
Learning Types Β· Machine Learning
(6)
Computer Vision
(4)
Core Methods
(4)
Learning Types Β· Deep Learning
(4)
Architectures
(3)
Analysis
(2)
Computer Science
(1)
Healthcare & Medicine
(1)
Reinforcement Learning
(1)
Robotics
(1)
Keywords
adversarial attack
(2)
fair clustering
(2)
influence function
(2)
multimodal learning
(2)
multimodal transformer
(2)
cluster analysis
(1)
probabilistic modeling
(1)
link prediction
(1)
self-supervised learning
(1)
model robustness
(1)
algorithmic fairness
(1)
document understanding
(1)
autonomous driving
(1)
bird's eye view
(1)
instance segmentation
(1)
object detection
(1)
deep clustering
(1)
graph structure
(1)
document representation
(1)
text-to-image generation
(1)
Papers
Uncertainty Quantification for Clinical Outcome Predictions with (Large) Language Models
NAACL 2025
MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor Perception
ECCV 2024
Rich Human Feedback for Text-to-Image Generation
CVPR 2024
UniAR: A Unified model for predicting human Attention and Responses on visual content
NeurIPS 2024
"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection
ICLR 2024
Characterizing the Influence of Graph Elements
ICLR 2023
Learning Antidote Data to Individual Unfairness
ICML 2023
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework
ICLR 2023
Achieving Fairness at No Utility Cost via Data Reweighing with Influence
ICML 2022
Exploiting Temporal Relations on Radar Perception for Autonomous Driving
CVPR 2022
On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections
ICLR 2021
SelfDoc: Self-Supervised Document Representation Learning
CVPR 2021
Deep Fair Clustering for Visual Learning
CVPR 2020