Yingying Zhang
27 papers · 2016–2026 · 14 conferences · across top CS/AI conferences
Achievements
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🐝 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)
Top co-authors
Keywords
foundation model
(3)
remote sensing
(3)
large language model
(3)
self-supervised learning
(2)
multi-modal learning
(2)
temporal modeling
(2)
semi-dense matching
(2)
knowledge graph
(2)
clinical decision support
(2)
contrastive learning
(2)
feature matching
(2)
vision-language model
(2)
conformal prediction
(1)
semantic segmentation
(1)
off-policy evaluation
(1)
feature learning
(1)
zero-shot learning
(1)
reinforcement learning
(1)
semi-supervised learning
(1)
uncertainty quantification
(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