Yuzhe Yang

19 papers · 2019–2025 · 9 conferences · across top CS/AI conferences

Achievements

+8 more ↓

🌍 Conference Polyglot (9) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (6)

🌈 Renaissance Researcher (7) 🌍 Conference Polyglot (9) 🏃 Academic Marathon (6) 👑 Triple Crown 🔥 Unstoppable (7) 💎 Century Club (19) ⚡ Prolific Year (5) 🗃️ Keyword Collector (80)

Conferences

CVPR (4) ICML (4) ICLR (3) NIPS (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)

Keywords

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

Papers

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