| 2026 | ICDE | Efficient Traffic Forecasting on Large-Scale Road Network by Regularized Adaptive Graph Convolution. | Kaiqi Wu, Weiyang Kong, Sen Zhang, Zitong Chen, Yubao Liu |
| 2025 | APWEB | Reinforcement Learning-Enhanced Adaptive Buffer Replacement for Modern Databases. | Sen Zhang, Kaiqi Wu, Zitong Chen, Yubao Liu |
| 2025 | APWEB | Causal Inference for Alleviating Sequence Mutation in Sequential Recommendation. | Sen Zhang, Kaiqi Wu, Chenhao Hu, Mingxin Liu, Yubao Liu |
| 2024 | AAAI | Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting. | Weiyang Kong, Ziyu Guo, Yubao Liu |
| 2024 | IJCNN | Grouped Graph Neural Networks for Anomaly Detection in Time Series. | Ziyu Guo, Weiyang Kong, Yubao Liu |
| 2023 | DASFAA | Revisiting Positive and Negative Samples in Variational Autoencoders for Top-N Recommendation. | Wei Liu, Leong Hou U, Shangsong Liang, Huaijie Zhu, Jianxing Yu, Yubao Liu, Jian Yin |
| 2023 | ICONIP | Modeling User's Neutral Feedback in Conversational Recommendation. | Xizhe Li, Chenhao Hu, Weiyang Kong, Sen Zhang, Yubao Liu |
| 2022 | SIGIR | Learning to Infer User Implicit Preference in Conversational Recommendation. | Chenhao Hu, Shuhua Huang, Yansen Zhang, Yubao Liu |
| 2021 | CIKM | LTPHM: Long-term Traffic Prediction based on Hybrid Model. | Chuyin Huang, Weiyang Kong, Genan Dai, Yubao Liu |
| 2021 | IAS | RTS-vSLAM: Real-Time Visual Semantic Tracking and Mapping Under Dynamic Environments. | Yubao Liu, Jun Miura |
| 2021 | ICONIP | Self-adaptive Graph Neural Networks for Personalized Sequential Recommendation. | Yansen Zhang, Chenhao Hu, Genan Dai, Weiyang Kong, Yubao Liu |
| 2020 | IJCAI | LSGCN: Long Short-Term Traffic Prediction with Graph Convolutional Networks. | Rongzhou Huang, Chuyin Huang, Yubao Liu, Genan Dai, Weiyang Kong |
| 2019 | IJCAI | Neural Collective Entity Linking Based on Recurrent Random Walk Network Learning. | Mengge Xue, Weiming Cai, Jinsong Su, Linfeng Song, Yubin Ge, Yubao Liu, Bin Wang |
| 2019 | ISPA | Parallelized Top-k Route Search with User's Preferences. | Sen Zhang, Youming Ge, Qun Jiang, Haihang Li, Yubao Liu |
| 2019 | MDM | KOLQ in a Road Network. | Zitong Chen, Yubao Liu, Ada Wai-Chee Fu, Raymond Chi-Wing Wong, Genan Dai |
| 2019 | MDM | ORSUP: Optimal Route Search with Users' Preferences. | Qun Jiang, Wei Teng, Yubao Liu |
| 2018 | ICNC | An Improved Index Based on MapReduce for Path Queries in Public Transportation Networks. | Zhiqing Ning, Genan Dai, Yubao Liu, Youming Ge, Jiefeng Wu |
| 2017 | DASFAA | MinSum Based Optimal Location Query in Road Networks. | Lv Xu, Ganglin Mai, Zitong Chen, Yubao Liu, Genan Dai |
| 2014 | SIGMOD | Efficient algorithms for optimal location queries in road networks. | Zitong Chen, Yubao Liu, Raymond Chi-Wing Wong, Jiamin Xiong, Ganglin Mai, Cheng Long |
| 2013 | CIDR | Green Databases Through Integration of Renewable Energy. | Cheng Chen, Bingsheng He, Xueyan Tang, Changbing Chen, Yubao Liu |
| 2011 | CIS | Privacy Preserving Nave Bayesian Classifier Based on Transition Probability Matrix. | Xing Yang, Yubao Liu, Zhan Li, Jiajie Mo |
| 2010 | ADMA | Discord Region Based Analysis to Improve Data Utility of Privately Published Time Series. | Shuai Jin, Yubao Liu, Zhijie Li |
| 2010 | CIS | Online Segmentation Algorithm for Time Series Based on BIRCH Clustering Features. | Yu Tu, Yubao Liu, Zhijie Li |
| 2009 | IDEAL | Integrating Rough Set and Genetic Algorithm for Negative Rule Extraction. | Junyu Liu, Yubao Liu, Yan Long |
| 2007 | ADMA | Clustering Massive Text Data Streams by Semantic Smoothing Model. | Yubao Liu, Jiarong Cai, Jian Yin, Ada Wai-Chee Fu |
| 2007 | SNPD | An Improved Semantic Smoothing Model for Model-Based Document Clustering. | Jiarong Cai, Yubao Liu, Jian Yin |