Zhihua Wang

Affiliations:
  • Zhejiang University, Shanghai Institute for Advanced Study, China


According to our database1, Zhihua Wang authored at least 13 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
EHR-KnowGen: Knowledge-enhanced multimodal learning for disease diagnosis generation.
Inf. Fusion, February, 2024

EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Active Retrosynthetic Planning Aware of Route Quality.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
PTADisc: A Cross-Course Dataset Supporting Personalized Learning in Cold-Start Scenarios.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RTANet: Recommendation Target-Aware Network Embedding.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

Attention-Based RNA Secondary Structure Prediction.
Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Learning Chemical Rules of Retrosynthesis with Pre-training.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Treatment Effect Estimation with Unmeasured Confounders in Data Fusion.
CoRR, 2022

ConfounderGAN: Protecting Image Data Privacy with Causal Confounder.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Role of Deconfounding in Meta-learning.
Proceedings of the International Conference on Machine Learning, 2022

Improving Deep Embedded Clustering via Learning Cluster-level Representations.
Proceedings of the 29th International Conference on Computational Linguistics, 2022


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