Xiang Yu

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

Achievements

+12 more ↓

🐝 Cross-Pollinator (11) 🏃 Academic Marathon (12) 🌍 Conference Polyglot (12) 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (10)

🌈 Renaissance Researcher (10) 🗺️ Taxonomy Completionist (88) 🧭 Keyword Pioneer 🧬 Topic Evolution 🤝 Dynamic Duo (22) ❓ The Questioner ⚡ Prolific Year (6) 🚀 Conference Pioneer 🗃️ Keyword Collector (158) 📈 Trend Setter 💎 Century Club (43) 🔥 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