Yuesheng Zhu

20 papers · 2016–2026 · 11 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 (43) 🌍 Conference Polyglot · Gold 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🏆 Grand Slam 🌈 Renaissance Researcher (6) ⚡ Prolific Year · Productive 🚀 Conference Pioneer 💎 Century Club · Bronze 📈 Trend Setter 🗃️ Keyword Collector (97)

Venues

AAAI (6) CVPR (2) ICML (2) IJCAI (2) MICCAI (2) ECCV (1) ICCV (1) ICLR (1) MIDL (1) NeurIPS (1) WACV (1)

Top co-authors

Guibo Luo (9) Zhenyu Weng (6) Zhaokun Zhou (2) Jie Ruan (2) Li Yuan (2) Hanwen Zhang (2) Xiyao Liu (2) Yuxi Liu (2) Hanwen Liu (2) Xiaojun Wan (2)

Research topics

Machine Learning (9) Computer Vision (8) Deep Learning (8) Architectures (7) Artificial Intelligence (5) Analysis (5) Application Areas (5) Optimization & Theory (5) Core AI (4) Learning Types (4) Computer Science (3) Applications (3) Generation (3) Core Methods (2) Domain-Specific (2)

Keywords

federated learning (2) sparse computation (2) spiking neural network (2) knowledge distillation (2) intellectual property (2) adversarial robustness (1) vision transformer (1) transformer architecture (1) deformable convolution (1) feature quantization (1) contrastive learning (1) natural language generation (1) text generation (1) information retrieval (1) conditional computation (1) image retrieval (1) adversarial training (1) image captioning (1) medical image segmentation (1) self-attention mechanism (1)

Papers

DSFedMed: Dual-Scale Federated Medical Image Segmentation via Mutual Distillation Between Foundation and Lightweight Models AAAI 2026 Feature-Aware One-Shot Federated Learning via Hierarchical Token Sequences AAAI 2026 MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis MICCAI 2025 Optical Model-Driven Sharpness Mapping for Autofocus in Small Depth-of-Field and Severe Defocus Scenarios ICCV 2025 Robust Image Hashing Based on Contrastive Masked Autoencoder with Weak-Strong Augmentation Alignment AAAI 2025 AdaIFL: Adaptive Image Forgery Localization via a Dynamic and Importance-aware Transformer Network ECCV 2024 Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling AAAI 2024 Describe Images in a Boring Way: Towards Cross-Modal Sarcasm Generation WACV 2024 FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation MICCAI 2024 PAAN: Pyramid Attention Augmented Network for polyp segmentation MIDL 2024 Spiking Transformer with Experts Mixture NeurIPS 2024 DeepVecFont-v2: Exploiting Transformers To Synthesize Vector Fonts With Higher Quality CVPR 2023 Robust Steganography without Embedding Based on Secure Container Synthesis and Iterative Message Recovery IJCAI 2023 Spikformer: When Spiking Neural Network Meets Transformer ICLR 2023 Trapdoor Normalization with Irreversible Ownership Verification ICML 2023 Watermarking Deep Neural Networks with Greedy Residuals ICML 2021 Efficient Querying from Weighted Binary Codes AAAI 2020 Online Hashing with Efficient Updating of Binary Codes AAAI 2020 Temporal Adaptive Alignment Network for Deep Video Inpainting IJCAI 2020 A Hole Filling Approach Based on Background Reconstruction for View Synthesis in 3D Video CVPR 2016