Yang Shen

24 papers · 2013–2026 · 10 conferences · across top CS/AI conferences

Achievements

+12 more ↓

🌍 Conference Polyglot (9) 🏃 Academic Marathon (12) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (5)

🐝 Cross-Pollinator (5) 🌈 Renaissance Researcher (6) 🗺️ Taxonomy Completionist (36) 🏆 Grand Slam 🧬 Topic Evolution ⚡ Prolific Year (5) 🚀 Conference Pioneer ❓ The Questioner 📈 Trend Setter 💎 Century Club (23) 🗃️ Keyword Collector (92) 🔥 Unstoppable (8)

Conferences

NIPS (5) ECCV (4) ICML (4) CVPR (3) ICLR (3) AAAI (1) ACL (1) ICCV (1) IJCAI (1) IJCNLP (1)

Top co-authors

Zhangyang Wang (9) Tianlong Chen (8) Yuning You (8) Xiu-Shen Wei (6) Jian Yang (5) Jian Jin (3) Yue Cao (3) Xuhao Sun (3) Zhenyong Fu (2) Bo Lv (2)

Keywords

self-supervised learning (4) representation learning (4) metric learning (2) graph convolutional network (2) contrastive learning (2) graph contrastive learning (2) graph neural network (2) embedding learning (2) data augmentation (2) non-convex optimization (1) attention mechanism (1) efficient training (1) graph representation learning (1) text-to-image generation (1) event camera (1) adversarial training (1) person re-identification (1) uncertainty quantification (1) question answering (1) in-context learning (1)

Papers

HyCoRA: Hyper-Contrastive Role-Adaptive Learning for Role-Playing AAAI 2026 Whether LLMs Know If They Know: Identifying Knowledge Boundaries via Debiased Historical In-Context Learning ACL 2025 Explanatory Instructions: Towards Unified Vision Tasks Understanding and Zero-shot Generalization ICML 2025 LaTexBlend: Scaling Multi-concept Customized Generation with Latent Textual Blending CVPR 2025 Customized Generation Reimagined: Fidelity and Editability Harmonized ECCV 2024 Equivariant Blurring Diffusion for Hierarchical Molecular Conformer Generation NIPS 2024 Latent 3D Graph Diffusion ICLR 2024 Equiangular Basis Vectors CVPR 2023 Graph Domain Adaptation via Theory-Grounded Spectral Regularization ICLR 2023 Automatic Check-Out via Prototype-Based Classifier Learning from Single-Product Exemplars ECCV 2022 Webly-Supervised Fine-Grained Recognition with Partial Label Learning IJCAI 2022 Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How ICLR 2022 SEMICON: A Learning-to-Hash Solution for Large-Scale Fine-Grained Image Retrieval ECCV 2022 Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative NIPS 2022 Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design ICML 2021 Graph Contrastive Learning Automated ICML 2021 A$^2$-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval NIPS 2021 Graph Contrastive Learning with Augmentations NIPS 2020 L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks CVPR 2020 When Does Self-Supervision Help Graph Convolutional Networks? ICML 2020 Learning to Optimize in Swarms NIPS 2019 Egocentric Activity Prediction via Event Modulated Attention ECCV 2018 Person Re-Identification With Correspondence Structure Learning ICCV 2015 Chinese Short Text Classification Based on Domain Knowledge IJCNLP 2013