| 2025 | DASFAA | Meta Relation Assisted Explanatory Model for Heterogeneous Graph Neural Networks. | Yibowen Zhao, Yonghui Xu, Yu Zhang, Qingzhong Li, Xudong Lu, Wei He, Lizhen Cui |
| 2025 | HCI | An Efficient Interaction Human-AI Synergy System Bridging Visual Awareness and Large Language Model for Intensive Care Units. | Yibowen Zhao, Yiming Cao, Zhiqi Shen, Juan Du, Yonghui Xu, Lizhen Cui, Cyril Leung |
| 2025 | INDIN | A Multiple-instance Learning Framework under Multi-sensor Data for Mechanical Fault Diagnosis. | Yue Yu, Chengzhu Cui, Yonghui Xu, Qian Zhao, Youqian He |
| 2025 | PRICAI | Test-Time Recommendation for Safe Medication Combination. | Xiaoyu Han, Yonghui Xu, Haotian Chen, Lizhen Cui |
| 2025 | PRICAI | EDGM: Efficient and Dynamic Generative Model for Dataset Distillation. | Gaoyuan Ma, Yonghui Xu, Wei He, Lizhen Cui |
| 2025 | SMC | Diffusion-based Data Augmentation via Noise Concatenation for Chest X-Ray Classification. | Xinran Chen, Yujing Xin, Ning Liu, Yanyu Xu, Yonghui Xu, Lizhen Cui |
| 2024 | CIKM | Multi-modal Food Recommendation with Health-aware Knowledge Distillation. | Yixin Zhang, Xin Zhou, Fanglin Zhu, Ning Liu, Wei Guo, Yonghui Xu, Zhiqi Shen, Lizhen Cui |
| 2024 | CLUSTER | vBoost: A Lock-free Distributed Index Based on vEB Tree for Disaggregated Memory. | Yuting Li, Yun Xu, Pengcheng Wang, Yonghui Xu, Weiguang Wang |
| 2024 | DASFAA | SP-Aug: Towards Efficient Semantic-Preserving Augmentations in Contrastive Learning via Hierarchical Outlier Factor. | Qianwen Meng, Hangwei Qian, Yonghui Xu, Lizhen Cui |
| 2024 | DASFAA | Multi-scale Residual Graph Attention Network for Major Depressive Disorder Recognition. | Xiaofang Sun, Yonghui Xu, Ning Liu, Yongqing Zheng, Lizhen Cui |
| 2024 | DASFAA | Multi-objective Graph Neural Network Explanatory Model with Local and Global Information Preservation. | Yibowen Zhao, Yonghui Xu, Yixin Zhang, Wei He, Lizhen Cui |
| 2024 | ICARCV | Counterfactual Reasoning and Cognitive Intelligence for Rational Robots. | Xuehong Tao, YuXin Miao, Yuan Miao, Guanhua Wang, Neda Azizi, Bruce Gu, Gongqi Lin, Lizhen Cui, Yonghui Xu, Wei Guo |
| 2024 | IJCAI | Personalized Federated Learning for Cross-City Traffic Prediction. | Yu Zhang, Hua Lu, Ning Liu, Yonghui Xu, Qingzhong Li, Lizhen Cui |
| 2024 | ISPA | AutoMP: A Tool to Automate Performance Testing for Model Placement on GPUs. | Zhe Yang, Wei He, Fenglong Cai, Yonghui Xu, Wei Guo, Lizhen Cui |
| 2024 | PRICAI | Multi-modal Food Recommendation Using Clustering and Self-supervised Learning. | Yixin Zhang, Xin Zhou, Qianwen Meng, Fanglin Zhu, Yonghui Xu, Zhiqi Shen, Lizhen Cui |
| 2023 | AAAI | MMTN: Multi-Modal Memory Transformer Network for Image-Report Consistent Medical Report Generation. | Yiming Cao, Lizhen Cui, Lei Zhang, Fuqiang Yu, Zhen Li, Yonghui Xu |
| 2023 | AAAI | MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series. | Qianwen Meng, Hangwei Qian, Yong Liu, Lizhen Cui, Yonghui Xu, Zhiqi Shen |
| 2023 | CSCWD | Logic Event Graph Enhanced Narrative Generation. | Caiyan Li, Lizhen Cui, Yonghui Xu, Ning Liu |
| 2023 | DASFAA | CMT: Cross-modal Memory Transformer for Medical Image Report Generation. | Yiming Cao, Lizhen Cui, Lei Zhang, Fuqiang Yu, Ziheng Cheng, Zhen Li, Yonghui Xu, Chunyan Miao |
| 2023 | DASFAA | DP-MHAN: A Disease Prediction Method Based on Metapath Aggregated Heterogeneous Graph Attention Networks. | Zhe Qu, Lizhen Cui, Yonghui Xu |
| 2023 | DASFAA | Dual Graph Multitask Framework for Imbalanced Delivery Time Estimation. | Lei Zhang, Mingliang Wang, Xin Zhou, Xingyu Wu, Yiming Cao, Yonghui Xu, Lizhen Cui, Zhiqi Shen |
| 2023 | DASFAA | Sample and Feature Enhanced Few-Shot Knowledge Graph Completion. | Kai Zhang, Daokun Zhang, Ning Liu, Yonghua Yang, Yonghui Xu, Zhongmin Yan, Hui Li, Lizhen Cui |
| 2023 | ICDE | Cross-Domain Disentangled Learning for E-Commerce Live Streaming Recommendation. | Yixin Zhang, Yong Liu, Hao Xiong, Yi Liu, Fuqiang Yu, Wei He, Yonghui Xu, Lizhen Cui, Chunyan Miao |
| 2023 | ICDE | Delivery Time Prediction Using Large-Scale Graph Structure Learning Based on Quantile Regression. | Lei Zhang, Xin Zhou, Zhiwei Zeng, Yiming Cao, Yonghui Xu, Mingliang Wang, Xingyu Wu, Yong Liu, Lizhen Cui, Zhiqi Shen |
| 2023 | IJCNN | Multi-View Graph Contrastive Learning for Urban Region Representation. | Yu Zhang, Yonghui Xu, Lizhen Cui, Zhongmin Yan |
| 2023 | IPCCC | iWriter: An Offloading Method for Indirectly Writing Remote Data. | Yuting Li, Yang Yi, Yun Xu, Pengcheng Wang, Yonghui Xu, Weiguang Wang |
| 2022 | DASFAA | KdTNet: Medical Image Report Generation via Knowledge-Driven Transformer. | Yiming Cao, Lizhen Cui, Fuqiang Yu, Lei Zhang, Zhen Li, Ning Liu, Yonghui Xu |
| 2022 | DASFAA | Similarity-Aware Collaborative Learning for Patient Outcome Prediction. | Fuqiang Yu, Lizhen Cui, Yiming Cao, Ning Liu, Weiming Huang, Yonghui Xu |
| 2022 | DASFAA | SAER: Sentiment-Opinion Alignment Explainable Recommendation. | Xiaoning Zong, Yong Liu, Yonghui Xu, Yixin Zhang, Zhiqi Shen, Yonghua Yang, Lizhen Cui |
| 2022 | IJCAI | Enhancing Sequential Recommendation with Graph Contrastive Learning. | Yixin Zhang, Yong Liu, Yonghui Xu, Hao Xiong, Chenyi Lei, Wei He, Lizhen Cui, Chunyan Miao |
| 2022 | ICSOC | Balancing Supply and Demand for Mobile Crowdsourcing Services. | Zhaoming Li, Wei He, Ning Liu, Yonghui Xu, Lizhen Cui, Kaiyuan Qi |
| 2021 | CoNEXT | Floodgate: taming incast in datacenter networks. | Kexin Liu, Chen Tian, Qingyue Wang, Hao Zheng, Peiwen Yu, Wenhao Sun, Yonghui Xu, Ke Meng, Lei Han, Jie Fu, Wanchun Dou, Guihai Chen |
| 2020 | HOTI | Optimizing Packet Dropping by Efficient Congesting-Flow Isolation in Lossy Data-Center Networks. | Cristina Olmedilla, Jess Escudero-Sahuquillo, Pedro Javier Garca, Francisco J. Alfaro-Corts, Francisco J. Quiles, Jos L. Snchez, Wenhao Sun, Xiang Yu, Yonghui Xu, Jos Duato |