Zhihua Wang

According to our database, Zhihua Wang authored at least 24 papers between 2022 and 2025.

Collaborative distances:

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

2025

Comprehend Then Predict: Prompting Large Language Models for Recommendation with Semantic and Collaborative Data.

Zhiang Dong, Liya Hu, Jingyuan Chen, Zhihua Wang, Fei Wu

ACM Trans. Inf. Syst., September, 2025

EndoFinder: Online Lesion Retrieval for Explainable Colorectal Polyp Diagnosis Leveraging Latent Scene Representations.

Ruijie Yang, Yan Zhu, Peiyao Fu, Yizhe Zhang, Zhihua Wang, Quanlin Li, Pinghong Zhou, Xian Yang, Shuo Wang

CoRR, July, 2025

Endo-CLIP: Progressive Self-Supervised Pre-training on Raw Colonoscopy Records.

Yili He, Yan Zhu, Peiyao Fu, Ruijie Yang, Tianyi Chen, Zhihua Wang, Quanlin Li, Pinghong Zhou, Xian Yang, Shuo Wang

CoRR, May, 2025

A decision support system in precision medicine: contrastive multimodal learning for patient stratification.

Qing Yin, Linda Zhong, Yunya Song, Liang Bai, Zhihua Wang, Chen Li, Yida Xu, Xian Yang

Ann. Oper. Res., May, 2025

Modelling Patient Longitudinal Data for Clinical Decision Support: A Case Study on Emerging AI Healthcare Technologies.

Shuai Niu, Jing Ma, Qing Yin, Zhihua Wang, Liang Bai, Xian Yang

Inf. Syst. Frontiers, April, 2025

Networked Instrumental Variable for Treatment Effect Estimation With Unobserved Confounders.

Ziyu Zhao, Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Zhihua Wang, Fei Wu

IEEE Trans. Knowl. Data Eng., February, 2025

Robust Polyp Detection and Diagnosis through Compositional Prompt-Guided Diffusion Models.

Jia Yu, Yan Zhu, Peiyao Fu, Tianyi Chen, Junbo Huang, Quanlin Li, Pinghong Zhou, Zhihua Wang, Fei Wu, Shuo Wang, Xian Yang

CoRR, February, 2025

Unlocking Multimodal Integration in EHRs: A Prompt Learning Framework for Language and Time Series Fusion.

Shuai Niu, Jing Ma, Hongzhan Lin, Liang Bai, Zhihua Wang, Wei Bi, Yida Xu, Guo Li, Xian Yang

CoRR, February, 2025

Knowledge-Augmented Multimodal Clinical Rationale Generation for Disease Diagnosis with Small Language Models.

Shuai Niu, Jing Ma, Hongzhan Lin, Liang Bai, Zhihua Wang, Richard Yi Da Xu, Yunya Song, Xian Yang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

ProMedTS: A Self-Supervised, Prompt-Guided Multimodal Approach for Integrating Medical Text and Time Series.

Shuai Niu, Jing Ma, Hongzhan Lin, Liang Bai, Zhihua Wang, Wei Bi, Richard Yi Da Xu, Guo Li, Xian Yang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

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

Multimodal Clinical Reasoning through Knowledge-augmented Rationale Generation.

Shuai Niu, Jing Ma, Liang Bai, Zhihua Wang, Yida Xu, Yunya Song, Xian Yang

CoRR, 2024

EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis.

Ruijie Yang, Yan Zhu, Peiyao Fu, Yizhe Zhang, Zhihua Wang, Quanlin Li, Pinghong Zhou, Xian Yang, Shuo Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Active Retrosynthetic Planning Aware of Route Quality.

Luotian Yuan, Yemin Yu, Ying Wei, Yongwei Wang, Zhihua Wang, Fei Wu

Proceedings of the Twelfth International Conference on Learning Representations, 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