Xiaoqiang Li
13 papers · 2019–2025 · 7 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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πΊοΈ Taxonomy Completionist (38) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π Grand Slam
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Topic Evolution
π
Grand Slam
ποΈ
Keyword Collector
(76)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(11)
Deep Learning
(8)
Learning Types Β· Machine Learning
(8)
Artificial Intelligence
(6)
Core AI
(6)
Computer Vision
(5)
Analysis
(4)
Core Methods
(4)
Learning Types Β· Deep Learning
(4)
Optimization & Theory
(3)
Natural Language Processing
(2)
Architectures
(2)
Models
(2)
Application Areas
(1)
Applications
(1)
Keywords
vision-language model
(3)
model robustness
(2)
weakly supervised semantic segmentation
(2)
knowledge distillation
(2)
weakly supervised learning
(2)
noisy label
(2)
class activation map
(2)
transfer learning
(1)
semantic segmentation
(1)
federated learning
(1)
self-supervised learning
(1)
noisy label learning
(1)
progressive learning
(1)
preference optimization
(1)
contrastive learning
(1)
neural network optimization
(1)
sharpness-aware minimization
(1)
visual question answering
(1)
instance segmentation
(1)
adversarial training
(1)
Papers
Antidote: A Unified Framework for Mitigating LVLM Hallucinations in Counterfactual Presupposition and Object Perception
CVPR 2025
One Arrow, Two Hawks: Sharpness-aware Minimization for Federated Learning via Global Model Trajectory
ICML 2025
Optimized Gradient Clipping for Noisy Label Learning
AAAI 2025
ToVE: Efficient Vision-Language Learning via Knowledge Transfer from Vision Experts
ICLR 2025
Towards Rationale-Answer Alignment of LVLMs via Self-Rationale Calibration
ICML 2025
DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation
CVPR 2024
Generating and Reweighting Dense Contrastive Patterns for Unsupervised Anomaly Detection
AAAI 2024
Active Negative Loss Functions for Learning with Noisy Labels
NeurIPS 2023
GradPU: Positive-Unlabeled Learning via Gradient Penalty and Positive Upweighting
AAAI 2023
Hierarchical Semantic Contrast for Weakly Supervised Semantic Segmentation
IJCAI 2023
Occlusion-Robust Face Alignment Using a Viewpoint-Invariant Hierarchical Network Architecture
CVPR 2022
Improving Robustness of Facial Landmark Detection by Defending Against Adversarial Attacks
ICCV 2021
Learning Segmentation Masks with the Independence Prior
AAAI 2019