| 2025 | ADMA | TraffiX-MoE: A Traffic-Aware Neural VRP Solver. | Wenhao Liang, Wei Emma Zhang, Lin Yue, Joy Rathjen, Peter Oloughlin, Weitong Chen |
| 2025 | ADMA | Graph Attention-Based Multi-head Voting Strategy for Unsupervised Ranking in Medication Recommendation. | Yanda Wang, Lin Yue, Ying Li |
| 2025 | CIKM | Calibrating on Kolmogorov-Arnold Network. | Wenhao Liang, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen |
| 2025 | CIKM | Calibrating on Medical Segmentation Model through Signed Distance. | Wenhao Liang, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen |
| 2025 | CIKM | Adaptive Spline Networks in the Kolmogorov-Arnold Framework: Knot Analysis and Stability Enhancement. | Liangwei Nathan Zheng, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen |
| 2025 | DICTA | AWF: Adaptive Weight Fusion for Enhanced Class Incremental Semantic Segmentation. | Zechao Sun, Shuying Piao, Haolin Jin, Chang Dong, Lin Yue, Weitong Chen, Luping Zhou |
| 2025 | KDD | Understanding Why Large Language Models Can Be Ineffective in Time Series Analysis: The Impact of Modality Alignment. | Liangwei Nathan Zheng, Chang George Dong, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen |
| 2024 | ADMA | Topological Knowledge Enhanced Personalized Ranking Model for Sequential Medication Recommendation. | Yanda Wang, Lin Yue, Ying Li |
| 2024 | CIKM | Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction Prediction in Long Tail Distinction. | Liangwei Nathan Zheng, Chang George Dong, Wei Emma Zhang, Xin Chen, Lin Yue, Weitong Chen |
| 2024 | CIKM | Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics. | Liangwei Nathan Zheng, Zhengyang Li, Chang George Dong, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen |
| 2023 | ADMA | Learning Knowledge Representation with Entity Concept Information. | Yuanbo Xu, Lin Yue, Hangtong Xu, Yongjian Yang |
| 2023 | ADMA | Duet Representation Learning with Entity Multi-attribute Information in Knowledge Graphs. | Yuanbo Xu, Yuanbo Zhang, Yongjian Yang, Hangtong Xu, Lin Yue |
| 2022 | ADMA | ESTD: Empathy Style Transformer with Discriminative Mechanism. | Mingzhe Zhang, Lin Yue, Miao Xu |
| 2022 | ADMA | A Boosting Algorithm for Training from Only Unlabeled Data. | Yawen Zhao, Lin Yue, Miao Xu |
| 2022 | APWEB | Death Comes But Why: An Interpretable Illness Severity Predictions in ICU. | Shaofei Shen, Miao Xu, Lin Yue, Robert Boots, Weitong Chen |
| 2022 | APWEB | AOPSS: A Joint Learning Framework for Aspect-Opinion Pair Extraction as Semantic Segmentation. | Chengwei Wang, Tao Peng, Yue Zhang, Lin Yue, Lu Liu |
| 2022 | APWEB | Improving Motor Imagery Intention Recognition via Local Relation Networks. | Lin Yue, Yuxuan Zhang, Xiaowei Zhao, Zhe Zhang, Weitong Chen |
| 2022 | DASFAA | GISDCN: A Graph-Based Interpolation Sequential Recommender with Deformable Convolutional Network. | Yalei Zang, Yi Liu, Weitong Chen, Bohan Li, Aoran Li, Lin Yue, Weihua Ma |
| 2022 | PAKDD | Towards Better Generalization for Neural Network-Based SAT Solvers. | Chenhao Zhang, Yanjun Zhang, Jeff Mao, Weitong Chen, Lin Yue, Guangdong Bai, Miao Xu |
| 2021 | ADC | Intention Recognition from Spatio-Temporal Representation of EEG Signals. | Lin Yue, Dongyuan Tian, Jing Jiang, Lina Yao, Weitong Chen, Xiaowei Zhao |
| 2021 | ADMA | Augmenting Personalized Question Recommendation with Hierarchical Information for Online Test Platform. | Lu Jiang, Wanfei Zhang, Yibin Wang, Na Luo, Lin Yue |
| 2021 | ADMA | STCT: Spatial-Temporal Conv-Transformer Network for Cardiac Arrhythmias Recognition. | Yixuan Qiu, Weitong Chen, Lin Yue, Miao Xu, Baofeng Zhu |
| 2021 | CIKM | Discovering Urban Functions of High-Definition Zoning with Continuous Human Traces. | Chunyu Liu, Yongjian Yang, Zijun Yao, Yuanbo Xu, Weitong Chen, Lin Yue, Haomeng Wu |
| 2021 | CIKM | Multi-hop Reading on Memory Neural Network with Selective Coverage for Medication Recommendation. | Yanda Wang, Weitong Chen, Dechang Pi, Lin Yue, Miao Xu, Xue Li |
| 2021 | IJCAI | Self-Supervised Adversarial Distribution Regularization for Medication Recommendation. | Yanda Wang, Weitong Chen, Dechang Pi, Lin Yue, Sen Wang, Miao Xu |
| 2019 | ADMA | DAMTRNN: A Delta Attention-Based Multi-task RNN for Intention Recognition. | Weitong Chen, Lin Yue, Bohan Li, Can Wang, Quan Z. Sheng |
| 2019 | ADMA | Deep Interpretable Mortality Model for Intensive Care Unit Risk Prediction. | Zhenkun Shi, Weitong Chen, Shining Liang, Wanli Zuo, Lin Yue, Sen Wang |
| 2019 | DASFAA | DMMAM: Deep Multi-source Multi-task Attention Model for Intensive Care Unit Diagnosis. | Zhenkun Shi, Wanli Zuo, Weitong Chen, Lin Yue, Yuwei Hao, Shining Liang |
| 2019 | DASFAA | A Mimic Learning Method for Disease Risk Prediction with Incomplete Initial Data. | Lin Yue, Haonan Zhao, Yiqin Yang, Dongyuan Tian, Xiaowei Zhao, Minghao Yin |
| 2018 | KSEM | Prognosis of Thyroid Disease Using MS-Apriori Improved Decision Tree. | Yuwei Hao, Wanli Zuo, Zhenkun Shi, Lin Yue, Shuai Xue, Fengling He |
| 2018 | KSEM | Social Bayesian Personal Ranking for Missing Data in Implicit Feedback Recommendation. | Yijia Zhang, Wanli Zuo, Zhenkun Shi, Lin Yue, Shining Liang |
| 2018 | SDM | EEG-based Motion Intention Recognition via Multi-task RNNs. | Weitong Chen, Sen Wang, Xiang Zhang, Lina Yao, Lin Yue, Buyue Qian, Xue Li |
| 2017 | WWW | User Relation Prediction Based on Matrix Factorization and Hybrid Particle Swarm Optimization. | Zhenkun Shi, Wanli Zuo, Weitong Chen, Lin Yue, Jiayu Han, Lizhou Feng |
| 2016 | ICIS | The Development, Enactment and Social Implications of Digital Entrepreneurship: Insights from a Rural Chinese Village. | Lin Yue, Barney Tan, Lili Cui |
| 2015 | ICIS | Digitally Enabled Social Innovation: A Case Study of Community Empowerment in Rural China. | Lin Yue, Shan Ling Pan, Barney Tan, Lili Cui |
| 1998 | ICASSP | Adaptive reception of wireless CDMA signals using empirical detection. | Lin Yue, Don H. Johnson |
| 1997 | ICASSP | Type-based detection in macro-diversity reception for mobile radio signals. | Lin Yue, Don H. Johnson |
| 1997 | ICIP | Texture Image Retrieval by Universal Classification for Wavelet Transform Coefficients. | Lin Yue, Haitao Guo |