Yan Zhu
17 papers · 2013–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (8) π Interdisciplinary Bridge π Academic Marathon (12) π Conference Polyglot (9) πΊοΈ Taxonomy Completionist (38)
π£
Hot Topic Early Bird
π
Conference Polyglot
(9)
π
Academic Marathon
(12)
β‘
Prolific Year
(6)
π
Conference Pioneer
π
Century Club
(17)
ποΈ
Keyword Collector
(65)
β
The Questioner
Conferences
AAAI (3)
CVPR (3)
IJCAI (3)
MICCAI (2)
NAACL (2)
AISTATS (1)
EMNLP (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
semantic segmentation
(3)
probabilistic modeling
(1)
game theory
(1)
few-shot learning
(1)
probabilistic inference
(1)
domain generalization
(1)
feature learning
(1)
structured prediction
(1)
scene understanding
(1)
graph clustering
(1)
image classification
(1)
object detection
(1)
weakly supervised learning
(1)
knowledge distillation
(1)
question answering
(1)
named entity recognition
(1)
ancient chinese
(1)
3d vision
(1)
test-time adaptation
(1)
multi-agent reinforcement learning
(1)
Papers
Reinforced Learning Explicit Circuit Representations for Quantum State Characterization from Local Measurements
ICML 2025
Overview of EvaHan2025: The First International Evaluation on Ancient Chinese Named Entity Recognition
NAACL 2025
Exploring Task-Level Optimal Prompts for Visual In-Context Learning
AAAI 2025
Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model
AAAI 2025
Endo-CLIP: Progressive Self-Supervised Pre-training on Raw Colonoscopy Records
MICCAI 2025
Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation
CVPR 2025
MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation
CVPR 2024
MISA: MIning Saliency-Aware Semantic Prior for Box Supervised Instance Segmentation
IJCAI 2024
SportQA: A Benchmark for Sports Understanding in Large Language Models
NAACL 2024
EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis
MICCAI 2024
Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?
NIPS 2023
Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning
AAAI 2022
Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder
EMNLP 2020
Time Series Chains: A Novel Tool for Time Series Data Mining
IJCAI 2018
Semantic Amodal Segmentation
CVPR 2017
Semi-Universal Portfolios with Transaction Costs
IJCAI 2015
Computing the M Most Probable Modes of a Graphical Model
AISTATS 2013