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Yuzhe Yang

20 papers · 2019–2026 · 9 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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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (48) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ† Keyword Champion (3) πŸ‘‘ Triple Crown 🧬 Topic Evolution 🌈 Renaissance Researcher (6) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (102)

Venues

CVPR (5) ICML (4) ICLR (3) NeurIPS (3) ECCV (1) EMNLP (1) ICCV (1) NAACL (1) WACV (1)

Top co-authors

Dina Katabi (8) Zhi Xu (4) Daniel McDuff (3) Xin Liu (3) Yandong Guo (2) Kaiwen Zha (2) Shwetak Patel (2) Guo Zhang (2) Yaqian Li (2) Girish Narayanswamy (2)

Research topics

Machine Learning (17) Artificial Intelligence (11) Core AI (10) Application Areas (8) Deep Learning (7) Core Methods (7) Learning Types Β· Machine Learning (7) Learning Types Β· Deep Learning (4) Computer Vision (3) Optimization & Theory (3) Reinforcement Learning (2) Analysis (2) Learning Paradigms (2) Models (2) Techniques (2)

Keywords

contrastive learning (3) matrix estimation (3) reinforcement learning (2) feature distribution (2) adversarial robustness (2) representation learning (2) self-supervised learning (2) semi-supervised learning (1) domain generalization (1) benchmark evaluation (1) network architecture (1) feature extraction (1) model robustness (1) sample complexity (1) temporal modeling (1) multimodal learning (1) chain-of-thought reasoning (1) knowledge distillation (1) multi-task learning (1) federated learning (1)

Papers

MANSION: Multi-floor lANguage-to-3D Scene generatIOn for loNg-horizon tasks CVPR 2026 FDPT: Federated Discrete Prompt Tuning for Black-Box Visual-Language Models ICCV 2025 Feature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language Models EMNLP 2025 Raptor: Scalable Train-Free Embeddings for 3D Medical Volumes Leveraging Pretrained 2D Foundation Models ICML 2025 Scaling Wearable Foundation Models ICLR 2025 UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models NAACL 2025 BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements WACV 2024 Change is Hard: A Closer Look at Subpopulation Shift ICML 2023 Rank-N-Contrast: Learning Continuous Representations for Regression NeurIPS 2023 SimPer: Simple Self-Supervised Learning of Periodic Targets ICLR 2023 "On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond" ECCV 2022 Personalized Image Aesthetics Assessment With Rich Attributes CVPR 2022 Self-Distillation From the Last Mini-Batch for Consistency Regularization CVPR 2022 Targeted Supervised Contrastive Learning for Long-Tailed Recognition CVPR 2022 Delving into Deep Imbalanced Regression ICML 2021 Harnessing Structures for Value-Based Planning and Reinforcement Learning ICLR 2020 Rethinking the Value of Labels for Improving Class-Imbalanced Learning NeurIPS 2020 Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation NeurIPS 2020 When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks CVPR 2020 ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation ICML 2019