| 2026 | DASFAA | Beyond Residuals: A Progressive Semantic-Preserving Quantization Approach for Recommendation. | Liwen Xiao, Shijia Wang, Songpei Xu, Qiang Xiao, Da Guo, Yintao Ren, Dongjing Wang, Chuanjiang Luo |
| 2026 | INFOCOM | Multi-Scale Transformer Diffusion Model for Realistic Wireless Network Traffic Synthesis. | Zhongxu Si, Yong Zhang, Lei Yao, Da Guo, Yinglei Teng, Xiaolei Hua, Renkai Yu, Lin Zhu |
| 2025 | CIKM | Progressive Semantic Residual Quantization for Multimodal-Joint Interest Modeling in Music Recommendation. | Shijia Wang, Tianpei Ouyang, Qiang Xiao, Dongjing Wang, Yintao Ren, Songpei Xu, Da Guo, Chuanjiang Luo |
| 2025 | CIKM | Climber: Toward Efficient Scaling Laws for Large Recommendation Models. | Songpei Xu, Shijia Wang, Da Guo, Xianwen Guo, Qiang Xiao, Bin Huang, Guanlin Wu, Chuanjiang Luo |
| 2025 | IJCNN | PefNet: Injecting Pre-learned Channel Dependence for Time Series Forecasting with Missing Data. | Chenyang He, Zilong Yan, Tianmu Sha, Lei Yao, Qi Li, Zhenyu Zhang, Yong Zhang, Da Guo |
| 2025 | VTC | ELinear: An Efficient Linear Architecture for Edge Intelligence Time Series Forecasting. | Chenyang He, Zilong Yan, Tianmu Sha, Lei Yao, Qi Li, Zhenyu Zhang, Yong Zhang, Yinglei Teng, Da Guo |
| 2024 | ICDM | Cascading Multimodal Feature Enhanced Contrast Learning for Music Recommendation. | Qimeng Yang, Shijia Wang, Da Guo, Dongjin Yu, Qiang Xiao, Dongjing Wang, Chuanjiang Luo |
| 2022 | INFOCOM | Interpretability Evaluation of Botnet Detection Model based on Graph Neural Network. | Xiaolin Zhu, Yong Zhang, Zhao Zhang, Da Guo, Qi Li, Zhao Li |
| 2021 | DSN | Network Intrusion Detection Based on Active Semi-supervised Learning. | Yong Zhang, Jie Niu, Guojian He, Lin Zhu, Da Guo |
| 2019 | ICMI | Exploring Regularizations with Face, Body and Image Cues for Group Cohesion Prediction. | Da Guo, Kai Wang, Jianfei Yang, Kaipeng Zhang, Xiaojiang Peng, Yu Qiao |
| 2019 | ICMI | Bootstrap Model Ensemble and Rank Loss for Engagement Intensity Regression. | Kai Wang, Jianfei Yang, Da Guo, Kaipeng Zhang, Xiaojiang Peng, Yu Qiao |
| 2018 | VTC | Power Allocation in Multi-Cell Networks Using Deep Reinforcement Learning. | Yong Zhang, Canping Kang, Tengteng Ma, Yinglei Teng, Da Guo |
| 2016 | VTC | An Energy-Saving Algorithm Based on Base Station Sleeping in Multi-Hop D2D Communication. | Yanan Zhang, Yong Zhang, Da Guo, Mei Song |
| 2015 | ICNC | A green smart topology management system based on network situation awareness. | Ke Bi, Yifei Wei, Mei Song, Da Guo |
| 2004 | CGI | Flow Feature Extraction in Oceanographic Visualization. | Da Guo, Constantinos Evangelinos, Nicholas M. Patrikalakis |