| 2026 | AAAI | Medical Vision-Language Pretraining with LLM-Guided Temporal Supervision. | Liang Bai, Zhi Wang, Huimin Yan, Xian Yang |
| 2026 | AAAI | Attribute-guided Dynamic Prompt Learning for Graph Neural Networks. | Zhuomin Liang, Liang Bai, Xian Yang |
| 2026 | AAAI | CauVQ: Causal Vector Quantization for Graph OOD Generalization. | Weihong Zhang, Liang Bai, Hangyuan Du, Xian Yang |
| 2026 | AAAI | Adaptive Evolutionary Fusion for Multi-View Clustering. | Yunxiao Zhao, Liang Bai, Xian Yang |
| 2025 | ACL | 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 |
| 2025 | ACL | 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 |
| 2025 | ICONIP | PFMF-Net: Progressive Feedback Network with Multi-feature for Image Tampering Localization. | Shihao Lu, De Li, Xun Jin, Xian Yang |
| 2025 | IROS | Underwater Target Tracking with Unknown Maneuver by Remotely Operated Vehicles: A Digital Twin-Driven Strategy. | Tianyi Zhang, Jing Yan, Xian Yang, Cailian Chen, Xinping Guan |
| 2025 | MICCAI | 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 |
| 2025 | UAI | MSCGrapher: Learning Multi-Scale Dynamic Correlations for Multivariate Time Series Forecasting. | Xian Yang, Zhenguo Zhang, Shihao Lu |
| 2024 | MICCAI | 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 |
| 2023 | ICWSM | RTANet: Recommendation Target-Aware Network Embedding. | Qimeng Cao, Qing Yin, Yunya Song, Zhihua Wang, Yujun Chen, Richard Yi Da Xu, Xian Yang |
| 2022 | COLING | 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 |
| 2022 | ICDCS | Toward Cleansing Backdoored Neural Networks in Federated Learning. | Chen Wu, Xian Yang, Sencun Zhu, Prasenjit Mitra |
| 2022 | ICMLA | Multi-stream Deep Residual Network for Cloud Imputation Using Multi-resolution Remote Sensing Imagery. | Yifan Zhao, Xian Yang, Ranga Raju Vatsavai |
| 2022 | ICPR | Deep Residual Network with Multi-Image Attention for Imputing Under Clouds in Satellite Imagery. | Xian Yang, Yifan Zhao, Ranga Raju Vatsavai |
| 2021 | EMNLP | Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case. | Jingqing Zhang, Luis Bolanos, Tong Li, Ashwani Tanwar, Guilherme Freire, Xian Yang, Julia Ive, Vibhor Gupta, Yike Guo |
| 2021 | ICDM | Label Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health Records. | Shuai Niu, Qing Yin, Yunya Song, Yike Guo, Xian Yang |
| 2019 | WWW | Outage Prediction and Diagnosis for Cloud Service Systems. | Yujun Chen, Xian Yang, Qingwei Lin, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang |
| 2017 | CEC | Accelerating artificial bee colony algorithm with neighborhood search. | Xianneng Li, Huiyan Yang, Meihua Yang, Xian Yang, Guangfei Yang |
| 2016 | QRS | A Product Recommendation Approach Based on the Latent Social Trust Network Model for Collaborative Filtering. | Xian Yang, Jiangning Wu, Yanzhong Dang, Lili Rong |
| 2014 | ICPR | Real-Time Tracking via Deformable Structure Regression Learning. | Xian Yang, Quan Xiao, Shoujue Wang, Peizhong Liu |
| 2012 | CIBCB | Developing a novel integrated model of p38 MAPK and glucocorticoid signalling pathways. | Alex Holehouse, Xian Yang, Ian M. Adcock, Yike Guo |