Yunming Ye

21 papers · 2017–2026 · 6 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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🗺️ Taxonomy Completionist (50) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🧬 Topic Evolution 🤝 Dynamic Duo (16) ⚡ Prolific Year · Productive 🔥 Unstoppable · Bronze 💎 Century Club · Bronze 🗃️ Keyword Collector (114)

Venues

CVPR (8) AAAI (7) IJCAI (3) ACL (1) ICML (1) NeurIPS (1)

Top co-authors

Xutao Li (16) Baoquan Zhang (15) Chuyao Luo (7) Kenghong Lin (6) Guotao Liang (5) Demin Yu (5) Shanshan Feng (4) Lisai Zhang (3) Wenzhi Feng (3) Rui Ye (3)

Research topics

Deep Learning (18) Machine Learning (15) Artificial Intelligence (9) Architectures (8) Learning Types · Deep Learning (8) Models (8) Learning Types · Machine Learning (7) Core Methods (6) Learning Paradigms (6) Computer Vision (5) Core AI (4) Optimization & Theory (4) Generation (3) Processing (3) Data Science & Analytics (2)

Keywords

few-shot learning (4) prototype learning (3) precipitation nowcasting (3) spatio-temporal prediction (3) vector quantization (3) knowledge transfer (2) codebook learning (2) parameter-efficient fine-tuning (2) neural network (2) diffusion model (2) graph convolutional network (2) attention mechanism (1) catastrophic forgetting (1) feature extraction (1) continual learning (1) image classification (1) image restoration (1) class-incremental learning (1) online learning (1) contrastive learning (1)

Papers

Improved Masked Image Generation with Knowledge-Augmented Token Representations AAAI 2026 S2FT: Parameter-Efficient Fine-Tuning in Sparse Spectrum Domain CVPR 2026 Satellite-Text-Prompted Large Language Model for Photovoltaic Power Forecasting AAAI 2026 AlphaPre: Amplitude-Phase Disentanglement Model for Precipitation Nowcasting CVPR 2025 AsyncDSB: Schedule-Asynchronous Diffusion Schrödinger Bridge for Image Inpainting AAAI 2025 Integrating Multi-Source Data for Long Sequence Precipitation Forecasting AAAI 2025 Perceptually Constrained Precipitation Nowcasting Model ICML 2025 Sensitivity-Aware Efficient Fine-Tuning via Compact Dynamic-Rank Adaptation CVPR 2025 Towards Improved Text-Aligned Codebook Learning: Multi-Hierarchical Codebook-Text Alignment with Long Text CVPR 2025 Codebook Transfer with Part-of-Speech for Vector-Quantized Image Modeling CVPR 2024 DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting CVPR 2024 iTrendRNN: An Interpretable Trend-Aware RNN for Meteorological Spatiotemporal Prediction AAAI 2024 LG-VQ: Language-Guided Codebook Learning NeurIPS 2024 MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning AAAI 2024 PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual Learning CVPR 2023 Hyperbolic Knowledge Transfer with Class Hierarchy for Few-Shot Learning IJCAI 2022 MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning AAAI 2022 Prototype Completion With Primitive Knowledge for Few-Shot Learning CVPR 2021 Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion Knowledge ACL 2020 MR-GCN: Multi-Relational Graph Convolutional Networks based on Generalized Tensor Product IJCAI 2020 DeepFM: A Factorization-Machine based Neural Network for CTR Prediction IJCAI 2017