Zhihua Wang
25 papers · 2018–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (10) π Cross-Pollinator (10)
π
Cross-Pollinator
(10)
π
Renaissance Researcher
(9)
πΊοΈ
Taxonomy Completionist
(58)
π
Grand Slam
π§¬
Topic Evolution
β‘
Prolific Year
(8)
π
Conference Pioneer
ποΈ
Keyword Collector
(116)
π
Century Club
(24)
π₯
Unstoppable
(6)
Conferences
AAAI (6)
ACL (4)
CVPR (3)
IJCAI (3)
ECCV (2)
MICCAI (2)
NIPS (2)
COLING (1)
ICLR (1)
ICML (1)
Top co-authors
Research topics
Keywords
multimodal learning
(3)
domain adaptation
(3)
causal inference
(2)
blind image quality assessment
(2)
representation learning
(2)
semantic segmentation
(2)
large language model
(2)
disease diagnosis
(2)
neural network
(2)
medical image segmentation
(2)
contrastive learning
(2)
optimal transport
(1)
uncertainty quantification
(1)
feature distribution
(1)
ensemble learning
(1)
image restoration
(1)
point cloud
(1)
image classification
(1)
data augmentation
(1)
domain generalization
(1)
Papers
PUPPET: Neural-Symbolic Standardized Patients for Mental Health
ACL 2026
ProMedTS: A Self-Supervised, Prompt-Guided Multimodal Approach for Integrating Medical Text and Time Series
ACL 2025
Endo-CLIP: Progressive Self-Supervised Pre-training on Raw Colonoscopy Records
MICCAI 2025
Deep Opinion-Unaware Blind Image Quality Assessment by Learning and Adapting from Multiple Annotators
IJCAI 2025
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance
AAAI 2025
Enhancing Low-Light Images: A Synthetic Data Perspective on Practical and Generalizable Solutions
AAAI 2025
Multi-view Evidential Learning-based Medical Image Segmentation
AAAI 2025
Knowledge-Augmented Multimodal Clinical Rationale Generation for Disease Diagnosis with Small Language Models
ACL 2025
Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition
ACL 2025
EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis
MICCAI 2024
Multimodal Representation Distribution Learning for Medical Image Segmentation
IJCAI 2024
RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction
AAAI 2024
Attention Beats Linear for Fast Implicit Neural Representation Generation
ECCV 2024
Multiscale Sliced Wasserstein Distances as Perceptual Color Difference Measures
ECCV 2024
Active Retrosynthetic Planning Aware of Route Quality
ICLR 2024
Learning Chemical Rules of Retrosynthesis with Pre-training
AAAI 2023
PTADisc: A Cross-Course Dataset Supporting Personalized Learning in Cold-Start Scenarios
NIPS 2023
Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation
AAAI 2023
Learning a Deep Color Difference Metric for Photographic Images
CVPR 2023
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder
NIPS 2022
Improving Deep Embedded Clustering via Learning Cluster-level Representations
COLING 2022
The Role of Deconfounding in Meta-learning
ICML 2022
Troubleshooting Blind Image Quality Models in the Wild
CVPR 2021
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
CVPR 2020
3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations
IJCAI 2018