← Authors

Xiang Yu

44 papers · 2013–2026 · 13 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (12) πŸƒ Academic Marathon (12) 🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (10) πŸ—ΊοΈ Taxonomy Completionist (88) 🧭 Keyword Pioneer 🧬 Topic Evolution 🀝 Dynamic Duo (22) ❓ The Questioner ⚑ Prolific Year (6) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (158) πŸ“ˆ Trend Setter πŸ’Ž Century Club (43) πŸ”₯ Unstoppable (10)

Conferences

CVPR (12) ICCV (8) ACL (4) COLING (3) ECCV (3) ICLR (3) WACV (3) CONLL (2) EMNLP (2) EACL (1) ICML (1) IJCAI (1) NIPS (1)

Top co-authors

Manmohan Chandraker (22) Jonas Kuhn (9) Kihyuk Sohn (8) Ngoc Thang Vu (8) Masoud Faraki (6) Yi-Hsuan Tsai (5) Yumin Suh (4) Samuel Schulter (4) Dimitris N. Metaxas (4) Xiaoming Liu (3)

Research topics

Computer Vision (1) Differential Privacy (1)

Keywords

face recognition (5) domain adaptation (4) data augmentation (4) neural network (4) domain generalization (4) dependency parsing (4) knowledge distillation (4) multi-task learning (3) convolutional neural network (3) surface realization (2) transition system (2) contrastive learning (2) morphological inflection (2) universal dependencies (2) object detection (2) transfer learning (2) representation learning (2) transition-based parsing (2) action recognition (1) reinforcement learning (1)

Papers

Linking Knowledge to Care: Knowledge Graph-Augmented Medical Follow-Up Question Generation EACL 2026
Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety CVPR 2025
Multivariate Conformal Selection ICML 2025
Feedback Favors the Generalization of Neural ODEs ICLR 2025
Augment the Pairs: Semantics-Preserving Image-Caption Pair Augmentation for Grounding-Based Vision and Language Models WACV 2024
Split To Learn: Gradient Split for Multi-Task Human Image Analysis WACV 2023
Q: How To Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images! CVPR 2023
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters ICCV 2023
DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image ICCV 2023
Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain Transfer ICLR 2023
Selective Structured State-Spaces for Long-Form Video Understanding CVPR 2023
Learning To Learn Across Diverse Data Biases in Deep Face Recognition CVPR 2022
Learning Phase Mask for Privacy-Preserving Passive Depth Estimation ECCV 2022
Single-Stream Multi-level Alignment for Vision-Language Pretraining ECCV 2022
Controllable Dynamic Multi-Task Architectures CVPR 2022
On Generalizing Beyond Domains in Cross-Domain Continual Learning CVPR 2022
Learning Cross-Modal Contrastive Features for Video Domain Adaptation ICCV 2021
Cross-Domain Similarity Learning for Face Recognition in Unseen Domains CVPR 2021
Improving Face Recognition by Clustering Unlabeled Faces in the Wild ECCV 2020
Fast and Accurate Non-Projective Dependency Tree Linearization ACL 2020
Ensemble Self-Training for Low-Resource Languages: Grapheme-to-Phoneme Conversion and Morphological Inflection ACL 2020
Real-Valued Logics for Typological Universals: Framework and Application COLING 2020
IMSurReal Too: IMS in the Surface Realization Shared Task 2020 COLING 2020
Identifying and Handling Cross-Treebank Inconsistencies in UD: A Pilot Study COLING 2020
Towards Universal Representation Learning for Deep Face Recognition CVPR 2020
Private-kNN: Practical Differential Privacy for Computer Vision CVPR 2020
DAVID: Dual-Attentional Video Deblurring WACV 2020
IMSurReal: IMS at the Surface Realization Shared Task 2019 EMNLP 2019
GLoSH: Global-Local Spherical Harmonics for Intrinsic Image Decomposition ICCV 2019
Feature Transfer Learning for Face Recognition With Under-Represented Data CVPR 2019
Unsupervised Domain Adaptation for Distance Metric Learning ICLR 2019
Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild CVPR 2019
Learning the Dyck Language with Attention-based Seq2Seq Models ACL 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
Towards Large-Pose Face Frontalization in the Wild ICCV 2017
IMS at the CoNLL 2017 UD Shared Task: CRFs and Perceptrons Meet Neural Networks CONLL 2017
Deep Supervision With Shape Concepts for Occlusion-Aware 3D Object Parsing CVPR 2017
Learning Efficient Object Detection Models with Knowledge Distillation NIPS 2017
Reconstruction-Based Disentanglement for Pose-Invariant Face Recognition 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