Chen Ye

8 papers · 2023–2026 · 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

Jump to papers ↓

🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (24)

Venues

AAAI (2) NeurIPS (2) ACL (1) CVPR (1) ICML (1) WACV (1)

Top co-authors

Junqiao Zhao (4) Hai Zhang (3) Hongtu Zhou (3) Haolong Li (3) Di Zhang (3) Chang Huang (2) Hang Yu (2) changjun jiang (2) Jiawei Ma (2) Bowen Lv (1)

Research topics

Artificial Intelligence (5) Deep Learning (4) Machine Learning (4) Core AI (4) Computer Vision (2) Natural Language Processing (2) Reinforcement Learning (2) Learning Types (2) Methods (2) Models (2) Optimization & Theory (2) Analysis (1) Application Areas (1) Applications (1) Architectures (1)

Keywords

large language model (2) representation learning (2) policy optimization (1) image restoration (1) uncertainty quantification (1) mathematical reasoning (1) scene reconstruction (1) performance guarantee (1) visual reinforcement learning (1) model-based reinforcement learning (1) document analysis (1) model shift (1) diffusion model (1) synthetic data (1) neural radiance field (1) image reconstruction (1) model learning (1) character recognition (1) heterophilic graph (1) domain generalization (1)

Papers

Know Your Neighbors: Subgraph Importance Sampling for Heterophilic Graph Active Learning AAAI 2026 MU-GeNeRF: Multi-view Uncertainty-guided Generalizable Neural Radiance Fields for Distractor-aware Scene CVPR 2026 Stroke Modeling Enables Vectorized Character Generation with Large Vectorized Glyph Model WACV 2026 CERTAIN: Context Uncertainty-aware One-Shot Adaptation for Context-based Offline Meta Reinforcement Learning ICML 2025 Exploring Mathematical Extrapolation of Large Language Models with Synthetic Data ACL 2024 Focus On What Matters: Separated Models For Visual-Based RL Generalization NeurIPS 2024 Towards Automated Chinese Ancient Character Restoration: A Diffusion-Based Method with a New Dataset AAAI 2024 How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization NeurIPS 2023