Yuxing Han

12 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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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (30) 🐣 Hot Topic Early Bird

💎 Century Club · Bronze 🗃️ Keyword Collector (65)

Venues

CVPR (3) AAAI (2) ACL (1) ECCV (1) EMNLP (1) ICCV (1) ICML (1) IJCAI (1) NeurIPS (1)

Top co-authors

Jiangtao Wen (5) Hanlin Gu (4) Lixin Fan (4) Gongxi Zhu (4) Jisheng Li (2) Yuze He (2) Bichuan Guo (2) Yubin Hu (2) Qiang Yang (2) Xinyuan Zhao (2)

Research topics

Machine Learning (9) Artificial Intelligence (6) Application Areas (6) Core AI (5) Deep Learning (4) Optimization & Theory (4) Computer Vision (3) Analysis (3) Learning Paradigms (3) Security & Privacy (2) Core Methods (2) Learning Types (2) Models (2) Privacy (2) Processing (2)

Keywords

federated learning (3) image denoising (2) privacy attack (1) bayesian inference (1) video segmentation (1) metropolis-hastings sampling (1) efficient computing (1) linear inverse problem (1) privacy-utility trade-off (1) synthetic data generation (1) optimal control (1) privacy preserving (1) noise robustness (1) diffusion model (1) denoising autoencoder (1) visual reasoning (1) foundation model (1) gradient norm (1) semantic segmentation (1) 3d reconstruction (1)

Papers

Beyond Ranking: Fine-Grained Diagnostics and Self-Improvement for MLLMs ACL 2026 FedGRPO: Privately Optimizing Foundation Models with Group-Relative Rewards from Domain Clients AAAI 2026 PrivSynth: Alternating and Control-Based Optimization for Privacy and Utility in Synthetic Data CVPR 2026 ArchiSet: Benchmarking Editable and Consistent Single-View 3D Reconstruction of Buildings with Specific Window-to-Wall Ratios ICCV 2025 BackSlash: Rate Constrained Optimized Training of Large Language Models ICML 2025 FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning CVPR 2025 Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval EMNLP 2024 Unlearning during Learning: An Efficient Federated Machine Unlearning Method IJCAI 2024 DarkFeat: Noise-Robust Feature Detector and Descriptor for Extremely Low-Light RAW Images AAAI 2023 Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos CVPR 2023 Deep Material Recognition in Light-Fields via Disentanglement of Spatial and Angular Information ECCV 2020 AGEM: Solving Linear Inverse Problems via Deep Priors and Sampling NeurIPS 2019