| 2025 | COLING | An Efficient Retrieval-Based Method for Tabular Prediction with LLM. | Jie Wu, Mengshu Hou |
| 2025 | PAKDD | Faper: Join Tree with Uncertainty Awareness for Faster, More Precise and Robust Cardinality Estimation. | Zihan Yan, Junxin Zhu, Jincan Xiong, Rui Xi, Shuhuan Fan, Mengshu Hou |
| 2025 | SIGIR | Retrieving Tables via Inter- and Intra-Content Contrastive Representation Learning. | Jie Wu, Mengshu Hou |
| 2024 | CIKM | Precision Meets Resilience: Cross-Database Generalization with Uncertainty Quantification for Robust Cost Estimation. | Shuhuan Fan, Mengshu Hou, Rui Xi, Wenwen Ma |
| 2024 | ICPADS | MLETune: Streamlining Database Knob Tuning via Multi-LLMs Experts Guided Deep Reinforcement Learning. | Wenlong Dong, Wei Liu, Rui Xi, Mengshu Hou, Shuhuan Fan |
| 2024 | ICPADS | MIMO Based Uncertainty-aware Learning-to-Rank Query Optimizer. | Jincan Xiong, Rui Xi, Xue Chen, Zihan Yan, Junxin Zhu, Mengshu Hou |
| 2024 | IJCNN | Learning Latent Variable for Logical Reasoning in Table-Based Fact Verification. | Jie Wu, Mengshu Hou |
| 2024 | ISPA | DAUSK: A Transactional Graph Structure for Skewed Dynamic Graph Storage. | Anna Ding, Yujun Li, Yuening Feng, Sicong Hu, Mengshu Hou, Yueyang Zhan |
| 2024 | KSEM | A Joint Multi-task Learning Model for Web Table-to-Knowledge Graph Matching. | Jie Wu, Mengshu Hou |
| 2024 | WWW | Prompt-Eng: Healthcare Prompt Engineering: Revolutionizing Healthcare Applications with Precision Prompts. | Awais Ahmed, Mengshu Hou, Rui Xi, Xiaoyang Zeng, Syed Attique Shah |
| 2023 | ICPADS | Robust Listwise Learning-to-Rank Approach for Database Query Optimizer. | Xue Chen, Rui Xi, Yiheng Tang, Mengshu Hou |
| 2023 | ICPADS | Graph-Attention-Network-Based Cost Estimation Model in Materialized View Environment. | Daobing Zhu, Shu Huan Fan, Xiaoyang Zeng, Rui Xi, Mengshu Hou |
| 2023 | WISE | GADESQL: Graph Attention Diffusion Enhanced Text-To-SQL with Single and Multi-hop Relations. | Qinzhen Cao, Rui Xi, Jie Wu, Xiaowen Nie, Yubo Liu, Mengshu Hou |
| 2021 | DEXA | GACE: Graph-Attention-Network-Based Cardinality Estimator. | Daobing Zhu, Dongsheng He, Shu Huan Fan, Jianming Liao, Mengshu Hou |
| 2019 | EWSN | ALIGNER: Make the Utmost of Transmission Concurrency for Low Power Wireless Networks. | Daibo Liu, Zhichao Cao, Mengshu Hou |
| 2019 | EWSN | Poster: Attention-based Spatio-Temporal Model for HAR Using Multivariate Time Series. | Rui Xi, Ming Li, Daibo Liu, Mengshu Hou |
| 2019 | IJCNN | Generate Desired Images from Trained Generative Adversarial Networks. | Ming Li, Rui Xi, Beier Chen, Mengshu Hou, Daibo Liu, Lei Guo |
| 2018 | IJCNN | Generate Novel Image Styles using Weighted Hybrid Generative Adversarial Nets. | Ming Li, Rui Xi, Mengshu Hou |
| 2018 | IJCNN | Deep Dilated Convolution on Multimodality Time Series for Human Activity Recognition. | Rui Xi, Mengshu Hou, Mingsheng Fu, Hong Qu, Daibo Liu |
| 2016 | ICPADS | Bat with Good Eyesight: Using Acoustic Signal and Image to Achieve Accurate Indoor Localization. | Rui Xi, Yujun Li, Daibo Liu, Siwei Luo, Mengshu Hou |
| 2015 | ICDCS | Tele Adjusting: Using Path Coding and Opportunistic Forwarding for Remote Control in WSNs. | Daibo Liu, Zhichao Cao, Xiaopei Wu, Yuan He, Xiaoyu Ji, Mengshu Hou |
| 2015 | ICNP | COF: Exploiting Concurrency for Low Power Opportunistic Forwarding. | Daibo Liu, Mengshu Hou, Zhichao Cao, Yuan He, Xiaoyu Ji, Xiaolong Zheng |
| 2015 | SECON | CD-MAC: A contention detectable MAC for low duty-cycled wireless sensor networks. | Daibo Liu, Xiaopei Wu, Zhichao Cao, Mingyan Liu, Yujun Li, Mengshu Hou |
| 2014 | MOBIHOC | RxLayer: adaptive retransmission layer for low power wireless. | Daibo Liu, Zhichao Cao, Jiliang Wang, Mengshu Hou, Yujun Li |
| 2013 | ICNP | DOF: Duplicate Detectable Opportunistic Forwarding in duty-cycled wireless sensor networks. | Daibo Liu, Zhichao Cao, Jiliang Wang, Yuan He, Mengshu Hou, Yunhao Liu |
| 2011 | INFOCOM | Many-to-one deliverability of greedy routing in 2-D wireless sensor networks. | Yaling Yang, Yujun Li, Mengshu Hou |