Xiaofeng Liu
26 papers · 2018–2026 · 11 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (11) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (7)
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(13)
🌍
Conference Polyglot
(11)
🤝
Dynamic Duo
(10)
💎
Century Club
(24)
🚀
Conference Pioneer
🗃️
Keyword Collector
(102)
⚡
Prolific Year
(7)
Conferences
AAAI (6)
ICCV (5)
CVPR (3)
ECCV (3)
ACL (2)
IJCAI (2)
EMNLP (1)
ICLR (1)
IJCNLP (1)
INTERSPEECH (1)
MICCAI (1)
Top co-authors
Keywords
semantic segmentation
(4)
domain adaptation
(3)
citing sentence generation
(2)
variational autoencoder
(2)
citation network
(2)
conditional shift
(2)
text generation
(2)
wasserstein distance
(2)
label shift
(2)
generative model
(2)
probabilistic modeling
(2)
medical diagnosis
(2)
joint training
(2)
salience estimation
(2)
face recognition
(2)
latent space
(2)
adversarial learning
(2)
medical imaging
(2)
unsupervised domain adaptation
(2)
wasserstein training
(2)
Papers
CoFact: Dynamic Coordination of Attention Heads for Improving Factual Consistency in LLMs
AAAI 2026
Explainable Depression Assessment from Face Videos by Weakly Supervised Learning
AAAI 2026
Fine-grained Video Dubbing Duration Alignment with Segment Supervised Preference Optimization
ACL 2025
Towards Robust Deterministic and Probabilistic Modeling for Predictive Learning
IJCAI 2025
Progressive Compositionality in Text-to-Image Generative Models
ICLR 2025
Domain Adaptive Diabetic Retinopathy Grading with Model Absence and Flowing Data
CVPR 2025
Contrastive Learning Approach for Assessment of Phonological Precision in Patients with Tongue Cancer Using MRI Data
INTERSPEECH 2024
Label-Efficient Few-Shot Semantic Segmentation with Unsupervised Meta-Training
AAAI 2024
Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models
EMNLP 2024
Tagged-to-Cine MRI Sequence Synthesis via Light Spatial-Temporal Transformer
MICCAI 2024
Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation
ICCV 2021
Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference
IJCAI 2021
BACO: A Background Knowledge- and Content-Based Framework for Citing Sentence Generation
ACL 2021
Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis
AAAI 2021
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models
AAAI 2021
BACO: A Background Knowledge- and Content-Based Framework for Citing Sentence Generation
IJCNLP 2021
Adversarial Unsupervised Domain Adaptation With Conditional and Label Shift: Infer, Align and Iterate
ICCV 2021
Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training
AAAI 2020
Severity-Aware Semantic Segmentation With Reinforced Wasserstein Training
CVPR 2020
AUTO3D: Novel view synthesis through unsupervisely learned variational viewpoint and global 3D representation
ECCV 2020
Conservative Wasserstein Training for Pose Estimation
ICCV 2019
Confidence Regularized Self-Training
ICCV 2019
Permutation-Invariant Feature Restructuring for Correlation-Aware Image Set-Based Recognition
ICCV 2019
Feature-Level Frankenstein: Eliminating Variations for Discriminative Recognition
CVPR 2019
Dependency-aware Attention Control for Unconstrained Face Recognition with Image Sets
ECCV 2018
Contextual-based Image Inpainting: Infer, Match, and Translate
ECCV 2018