Nanyang Ye

22 papers · 2017–2025 · 9 conferences · across top CS/AI conferences

Achievements

+9 more ↓

🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (9) 🏃 Academic Marathon (8) 🗺️ Taxonomy Completionist (54)

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) 🏆 Grand Slam 💎 Century Club (22) ⚡ Prolific Year (5) 📈 Trend Setter 🔥 Unstoppable (5) 🗃️ Keyword Collector (96)

Conferences

AAAI (8) CVPR (5) ICML (2) NIPS (2) COLING (1) EMNLP (1) ICCV (1) ICLR (1) IJCAI (1)

Top co-authors

Qinying Gu (8) Xinbing Wang (6) Chenghu Zhou (6) Lin Zhu (5) Lanqing Hong (5) Zhanxing Zhu (5) Zhenguo Li (4) Haoyue Bai (3) Fengwei Zhou (3) Kaican Li (3)

Keywords

out-of-distribution generalization (9) domain generalization (4) invariant risk minimization (3) distribution shift (3) adversarial training (3) neural network (3) domain adaptation (2) few-shot learning (2) markov chain monte carlo (2) neural architecture search (2) stochastic optimization (2) bayesian learning (1) contrastive learning (1) self-attention mechanism (1) sequence modeling (1) transformer architecture (1) offline reinforcement learning (1) text classification (1) learning theory (1) sentiment analysis (1)

Papers

Enhancing Nursing and Elderly Care with Large Language Models: An AI-Driven Framework COLING 2025 Generalizable Multi-Camera 3D Object Detection from a Single Source via Fourier Cross-View Learning ICML 2025 Less is More: Masking Elements in Image Condition Features Avoids Content Leakages in Style Transfer Diffusion Models ICLR 2025 Decision SpikeFormer: Spike-Driven Transformer for Decision Making CVPR 2025 OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary CVPR 2025 Domain Invariant Learning for Gaussian Processes and Bayesian Exploration AAAI 2024 G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection AAAI 2024 CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection ICML 2024 MiniConGTS: A Near Ultimate Minimalist Contrastive Grid Tagging Scheme for Aspect Sentiment Triplet Extraction EMNLP 2024 Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization AAAI 2023 Certifiable Out-of-Distribution Generalization AAAI 2023 OoDHDR-Codec: Out-of-Distribution Generalization for HDR Image Compression AAAI 2022 Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms AAAI 2022 OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization CVPR 2022 DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation AAAI 2021 Adversarial Invariant Learning CVPR 2021 Amata: An Annealing Mechanism for Adversarial Training Acceleration AAAI 2021 NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization ICCV 2021 Predicting Visible Image Differences Under Varying Display Brightness and Viewing Distance CVPR 2019 Stochastic Fractional Hamiltonian Monte Carlo IJCAI 2018 Bayesian Adversarial Learning NIPS 2018 Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks NIPS 2017