Improving Deep Embedded Clustering via Learning Cluster-level Representations. - Qing Yin; Zhihua Wang 008; Yunya Song; Richard Yida Xu; Shuai Niu; Liang Bai; Yike Guo; Xian Yang 001 (COLING, 2022)

The Role of Deconfounding in Meta-learning. - Yinjie Jiang; Zhengyu Chen 001; Kun Kuang; Luotian Yuan; Xinhai Ye; Zhihua Wang 008; Fei Wu 001; Ying Wei 001 (ICML, 2022)

ConfounderGAN: Protecting Image Data Privacy with Causal Confounder. - Qi Tian 001; Kun Kuang; Kelu Jiang; Furui Liu; Zhihua Wang 008; Fei Wu 001 (NeurIPS, 2022)

Treatment Effect Estimation with Unmeasured Confounders in Data Fusion. - Anpeng Wu; Kun Kuang; Ruoxuan Xiong; Minqing Zhu; Yuxuan Liu; Bo Li 064; Furui Liu; Zhihua Wang 008; Fei Wu 001 (CoRR, 2022)

Learning Chemical Rules of Retrosynthesis with Pre-training. - Yinjie Jiang; Ying Wei 001; Fei Wu 001; Zhengxing Huang; Kun Kuang; Zhihua Wang 008 (AAAI, 2023)

Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation. - Anpeng Wu; Kun Kuang; Ruoxuan Xiong; Minqing Zhu; Yuxuan Liu; Bo Li 064; Furui Liu; Zhihua Wang 008; Fei Wu 001 (AAAI, 2023)

Attention-Based RNA Secondary Structure Prediction. - Liya Hu; Xinyi Yang; Yuxuan Si; Jingyuan Chen; Xinhai Ye; Zhihua Wang 008; Fei Wu 001 (CICAI (2), 2023)

RTANet: Recommendation Target-Aware Network Embedding. - Qimeng Cao; Qing Yin; Yunya Song; Zhihua Wang 008; Yujun Chen; Richard Yi Da Xu; Xian Yang 001 (ICWSM, 2023)

PTADisc: A Cross-Course Dataset Supporting Personalized Learning in Cold-Start Scenarios. - Liya Hu; Zhiang Dong; Jingyuan Chen; Guifeng Wang; Zhihua Wang 008; Zhou Zhao 001; Fei Wu 001 (NeurIPS, 2023)

RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction. - Yemin Yu; Luotian Yuan; Ying Wei 001; Hanyu Gao; Fei Wu 001; Zhihua Wang 008; Xinhai Ye (AAAI, 2024)

Active Retrosynthetic Planning Aware of Route Quality. - Luotian Yuan; Yemin Yu; Ying Wei 001; Yongwei Wang; Zhihua Wang 008; Fei Wu 001 (ICLR, 2024)

EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis. - Ruijie Yang; Yan Zhu; Peiyao Fu; Yizhe Zhang 001; Zhihua Wang 008; Quanlin Li; Pinghong Zhou; Xian Yang 001; Shuo Wang 011 (MICCAI (10), 2024)

Multimodal Clinical Reasoning through Knowledge-augmented Rationale Generation. - Shuai Niu; Jing Ma 004; Liang Bai; Zhihua Wang 008; Yida Xu; Yunya Song; Xian Yang 001 (CoRR, 2024)

EHR-KnowGen: Knowledge-enhanced multimodal learning for disease diagnosis generation. - Shuai Niu; Jing Ma 004; Liang Bai; Zhihua Wang 008; Li Guo 002; Xian Yang 001 (Inf. Fusion, 2024)

ProMedTS: A Self-Supervised, Prompt-Guided Multimodal Approach for Integrating Medical Text and Time Series. - Shuai Niu; Jing Ma 004; Hongzhan Lin 001; Liang Bai; Zhihua Wang 008; Wei Bi; Richard Yi Da Xu; Guo Li 002; Xian Yang 001 (ACL (Findings), 2025)

Knowledge-Augmented Multimodal Clinical Rationale Generation for Disease Diagnosis with Small Language Models. - Shuai Niu; Jing Ma 004; Hongzhan Lin 001; Liang Bai; Zhihua Wang 008; Richard Yi Da Xu; Yunya Song; Xian Yang 001 (ACL (1), 2025)

Unlocking Multimodal Integration in EHRs: A Prompt Learning Framework for Language and Time Series Fusion. - Shuai Niu; Jing Ma 004; Hongzhan Lin 001; Liang Bai; Zhihua Wang 008; Wei Bi; Yida Xu; Guo Li 002; Xian Yang 001 (CoRR, 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 008; Fei Wu 001; Shuo Wang 011; Xian Yang 001 (CoRR, 2025)

Networked Instrumental Variable for Treatment Effect Estimation With Unobserved Confounders. - Ziyu Zhao 001; Anpeng Wu; Kun Kuang; Ruoxuan Xiong; Bo Li 064; Zhihua Wang 008; Fei Wu 001 (IEEE Trans. Knowl. Data Eng., 2025)

Modelling Patient Longitudinal Data for Clinical Decision Support: A Case Study on Emerging AI Healthcare Technologies. - Shuai Niu; Jing Ma 004; Qing Yin; Zhihua Wang 008; Liang Bai; Xian Yang 001 (Inf. Syst. Frontiers, 2025)

A decision support system in precision medicine: contrastive multimodal learning for patient stratification. - Qing Yin; Linda Zhong; Yunya Song; Liang Bai; Zhihua Wang 008; Chen Li; Yida Xu; Xian Yang 001 (Ann. Oper. Res., 2025)

Endo-CLIP: Progressive Self-Supervised Pre-training on Raw Colonoscopy Records. - Yili He; Yan Zhu; Peiyao Fu; Ruijie Yang; Tianyi Chen; Zhihua Wang 008; Quanlin Li; Pinghong Zhou; Xian Yang 001; Shuo Wang 011 (CoRR, 2025)

EndoFinder: Online Lesion Retrieval for Explainable Colorectal Polyp Diagnosis Leveraging Latent Scene Representations. - Ruijie Yang; Yan Zhu; Peiyao Fu; Yizhe Zhang 001; Zhihua Wang 008; Quanlin Li; Pinghong Zhou; Xian Yang 001; Shuo Wang 011 (CoRR, 2025)

Comprehend Then Predict: Prompting Large Language Models for Recommendation with Semantic and Collaborative Data. - Zhiang Dong; Liya Hu; Jingyuan Chen; Zhihua Wang 008; Fei Wu 001 (ACM Trans. Inf. Syst., 2025)