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Yingying Zhang

27 papers · 2016–2026 · 14 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ 🐝 Cross-Pollinator (12) 🧭 Keyword Pioneer 🌍 Conference Polyglot (14) 🏃 Academic Marathon (9) 🌈 Renaissance Researcher (8)
🌍 Conference Polyglot (14) 🏃 Academic Marathon (9) 🧭 Keyword Pioneer 🧬 Topic Evolution 🏆 Grand Slam 🔥 Unstoppable (7) 🚀 Conference Pioneer 💎 Century Club (26) Prolific Year (9) 🗃️ Keyword Collector (135)

Conferences

AAAI (5) CVPR (4) ICCV (4) ACL (3) ICLR (2) AISTATS (1) COLING (1) EACL (1) ECCV (1) ICML (1) IJCAI (1) JMLR (1) MICCAI (1) NIPS (1)

Papers

Inflated Excellence or True Performance? Rethinking Medical Diagnostic Benchmarks with Dynamic Evaluation ACL 2026 SkySense-O: Towards Open-World Remote Sensing Interpretation with Vision-Centric Visual-Language Modeling CVPR 2025 Perturbating, Tuning, and Collaborating: Harnessing Vision Foundation Models for Single Domain Generalization on Medical Imaging AAAI 2025 HomoMatcher: Achieving Dense Feature Matching with Semi-Dense Efficiency by Homography Estimation AAAI 2025 Model Merging for Knowledge Editing ACL 2025 AnchorCoT: Anchors Pave the Way for Multi-hop Reasoning ACL 2025 When Large Vision-Language Model Meets Large Remote Sensing Imagery: Coarse-to-Fine Text-Guided Token Pruning ICCV 2025 SkySense V2: A Unified Foundation Model for Multi-modal Remote Sensing ICCV 2025 CasP: Improving Semi-Dense Feature Matching Pipeline Leveraging Cascaded Correspondence Priors for Guidance ICCV 2025 DLP: Dynamic Layerwise Pruning in Large Language Models ICML 2025 Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting ICLR 2024 Real-world Visual Navigation for Cardiac Ultrasound View Planning MICCAI 2024 SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery CVPR 2024 MedJourney: Benchmark and Evaluation of Large Language Models over Patient Clinical Journey NIPS 2024 POA: Pre-training Once for Models of All Sizes ECCV 2024 Knowledge-aware Attention Network for Medication Effectiveness Prediction COLING 2024 Explaining Time Series via Contrastive and Locally Sparse Perturbations ICLR 2024 Triple-Hybrid Energy-based Model Makes Better Calibrated Natural Language Understanding Models EACL 2023 Simultaneously Short- and Long-Term Temporal Modeling for Semi-Supervised Video Semantic Segmentation CVPR 2023 Conformal Off-Policy Prediction AISTATS 2023 Statistical Rates of Convergence for Functional Partially Linear Support Vector Machines for Classification JMLR 2022 Ridgeless Regression with Random Features IJCAI 2022 Knowledge-aware Dialogue Generation with Hybrid Attention (Student Abstract) AAAI 2021 Divide-and-Assemble: Learning Block-Wise Memory for Unsupervised Anomaly Detection ICCV 2021 Find Objects and Focus on Highlights: Mining Object Semantics for Video Highlight Detection via Graph Neural Networks AAAI 2020 Learning Incremental Triplet Margin for Person Re-Identification AAAI 2019 Single-Image Crowd Counting via Multi-Column Convolutional Neural Network CVPR 2016