Zhihua Wang

According to our database, Zhihua Wang authored at least 11 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

EHR-KnowGen: Knowledge-enhanced multimodal learning for disease diagnosis generation.

Shuai Niu, Jing Ma, Liang Bai, Zhihua Wang, Li Guo, Xian Yang

Inf. Fusion, February, 2024

RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction.

Yemin Yu, Luotian Yuan, Ying Wei, Hanyu Gao, Fei Wu, Zhihua Wang, Xinhai Ye

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

PTADisc: A Cross-Course Dataset Supporting Personalized Learning in Cold-Start Scenarios.

Liya Hu, Zhiang Dong, Jingyuan Chen, Guifeng Wang, Zhihua Wang, Zhou Zhao, Fei Wu

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.

Qimeng Cao, Qing Yin, Yunya Song, Zhihua Wang, Yujun Chen, Richard Yi Da Xu, Xian Yang

Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

Attention-Based RNA Secondary Structure Prediction.

Liya Hu, Xinyi Yang, Yuxuan Si, Jingyuan Chen, Xinhai Ye, Zhihua Wang, Fei Wu

Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation.

Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Learning Chemical Rules of Retrosynthesis with Pre-training.

Yinjie Jiang, Ying Wei, Fei Wu, Zhengxing Huang, Kun Kuang, Zhihua Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Treatment Effect Estimation with Unmeasured Confounders in Data Fusion.

Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu

CoRR, 2022

ConfounderGAN: Protecting Image Data Privacy with Causal Confounder.

Qi Tian, Kun Kuang, Kelu Jiang, Furui Liu, Zhihua Wang, Fei Wu

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.

Yinjie Jiang, Zhengyu Chen, Kun Kuang, Luotian Yuan, Xinhai Ye, Zhihua Wang, Fei Wu, Ying Wei

Proceedings of the International Conference on Machine Learning, 2022

Improving Deep Embedded Clustering via Learning Cluster-level Representations.

Qing Yin, Zhihua Wang, Yunya Song, Richard Yida Xu, Shuai Niu, Liang Bai, Yike Guo, Xian Yang

Proceedings of the 29th International Conference on Computational Linguistics, 2022