Xiang Yu
44 papers · 2013–2026 · 13 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 (80) π Academic Marathon Β· Half π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Pioneer
π§¬
Topic Evolution
π€
Dynamic Duo
(22)
π
Renaissance Researcher
(8)
π₯
Unstoppable Β· Silver
β
The Questioner
β‘
Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
ποΈ
Keyword Collector
(173)
Venues
Top co-authors
Research topics
Machine Learning
(26)
Application Areas
(17)
Computer Vision
(16)
Deep Learning
(15)
Learning Types Β· Machine Learning
(13)
Analysis
(12)
Core Methods
(11)
Artificial Intelligence
(10)
Learning Types Β· Deep Learning
(10)
Natural Language Processing
(9)
Architectures
(7)
Applications
(5)
Core AI Β· Artificial Intelligence
(5)
Learning Paradigms
(5)
Core AI Β· Computer Vision
(4)
Keywords
domain generalization
(5)
domain adaptation
(5)
face recognition
(5)
data augmentation
(4)
dependency parsing
(4)
knowledge distillation
(4)
neural network
(4)
multi-task learning
(3)
transfer learning
(3)
convolutional neural network
(3)
morphological inflection
(2)
vision-language model
(2)
contrastive learning
(2)
transition system
(2)
transition-based parsing
(2)
surface realization
(2)
universal dependencies
(2)
unsupervised domain adaptation
(2)
representation learning
(2)
object detection
(2)
Papers
Linking Knowledge to Care: Knowledge Graph-Augmented Medical Follow-Up Question Generation
EACL 2026
Feedback Favors the Generalization of Neural ODEs
ICLR 2025
Multivariate Conformal Selection
ICML 2025
Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety
CVPR 2025
Augment the Pairs: Semantics-Preserving Image-Caption Pair Augmentation for Grounding-Based Vision and Language Models
WACV 2024
DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image
ICCV 2023
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters
ICCV 2023
Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain Transfer
ICLR 2023
Q: How To Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images!
CVPR 2023
Selective Structured State-Spaces for Long-Form Video Understanding
CVPR 2023
Split To Learn: Gradient Split for Multi-Task Human Image Analysis
WACV 2023
Controllable Dynamic Multi-Task Architectures
CVPR 2022
Learning Phase Mask for Privacy-Preserving Passive Depth Estimation
ECCV 2022
Learning To Learn Across Diverse Data Biases in Deep Face Recognition
CVPR 2022
On Generalizing Beyond Domains in Cross-Domain Continual Learning
CVPR 2022
Single-Stream Multi-level Alignment for Vision-Language Pretraining
ECCV 2022
Cross-Domain Similarity Learning for Face Recognition in Unseen Domains
CVPR 2021
Learning Cross-Modal Contrastive Features for Video Domain Adaptation
ICCV 2021
DAVID: Dual-Attentional Video Deblurring
WACV 2020
Ensemble Self-Training for Low-Resource Languages: Grapheme-to-Phoneme Conversion and Morphological Inflection
ACL 2020
Fast and Accurate Non-Projective Dependency Tree Linearization
ACL 2020
Identifying and Handling Cross-Treebank Inconsistencies in UD: A Pilot Study
COLING 2020
Improving Face Recognition by Clustering Unlabeled Faces in the Wild
ECCV 2020
IMSurReal Too: IMS in the Surface Realization Shared Task 2020
COLING 2020
Private-kNN: Practical Differential Privacy for Computer Vision
CVPR 2020
Real-Valued Logics for Typological Universals: Framework and Application
COLING 2020
Towards Universal Representation Learning for Deep Face Recognition
CVPR 2020
Feature Transfer Learning for Face Recognition With Under-Represented Data
CVPR 2019
GLoSH: Global-Local Spherical Harmonics for Intrinsic Image Decomposition
ICCV 2019
Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild
CVPR 2019
IMSurReal: IMS at the Surface Realization Shared Task 2019
EMNLP 2019
Learning the Dyck Language with Attention-based Seq2Seq Models
ACL 2019
Unsupervised Domain Adaptation for Distance Metric Learning
ICLR 2019
Approximate Dynamic Oracle for Dependency Parsing with Reinforcement Learning
EMNLP 2018
Comparing Attention-Based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension
CoNLL 2018
Character Composition Model with Convolutional Neural Networks for Dependency Parsing on Morphologically Rich Languages
ACL 2017
Deep Supervision With Shape Concepts for Occlusion-Aware 3D Object Parsing
CVPR 2017
IMS at the CoNLL 2017 UD Shared Task: CRFs and Perceptrons Meet Neural Networks
CoNLL 2017
Learning Efficient Object Detection Models with Knowledge Distillation
NeurIPS 2017
Reconstruction-Based Disentanglement for Pose-Invariant Face Recognition
ICCV 2017
Towards Large-Pose Face Frontalization in the Wild
ICCV 2017
Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos
ICCV 2017
Nonlinear Hierarchical Part-Based Regression for Unconstrained Face Alignment
IJCAI 2016
Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model
ICCV 2013