| 2024 | CVPR | GenN2N: Generative NeRF2NeRF Translation. | Xiangyue Liu, Han Xue, Kunming Luo, Ping Tan, Li Yi |
| 2023 | SSDBM | TGSLN : Time-aware Graph Structure Learning Network for Multi-variates Stock Sector Ranking Recommendation. | Quan Wan, Shuo Yin, Xiangyue Liu, Jianliang Gao, Yuhui Zhong |
| 2022 | CIKM | Memory Augmented Graph Learning Networks for Multivariate Time Series Forecasting. | Xiangyue Liu, Xinqi Lyu, Xiangchi Zhang, Jianliang Gao, Jiamin Chen |
| 2022 | CVPR | TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers. | Yikang Ding, Wentao Yuan, Qingtian Zhu, Haotian Zhang, Xiangyue Liu, Yuanjiang Wang, Xiao Liu |
| 2022 | ECCV | KD-MVS: Knowledge Distillation Based Self-supervised Learning for Multi-view Stereo. | Yikang Ding, Qingtian Zhu, Xiangyue Liu, Wentao Yuan, Haotian Zhang, Chi Zhang |
| 2022 | ECCV | Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives. | Wentao Yuan, Qingtian Zhu, Xiangyue Liu, Yikang Ding, Haotian Zhang, Chi Zhang |
| 2021 | HPCC | TAGCN: Typed Attention Graph Convolutional Networks for Entity Alignment in Cross-lingual Knowledge Graphs. | Jianliang Gao, Zhao Li, Fan Xiong, Xiangyue Liu, Jie Xiao, Biao Wang, Ji Zhang |
| 2021 | ICRA | Structure Reconstruction Using Ray-Point-Ray Features: Representation and Camera Pose Estimation. | Yijia He, Xiangyue Liu, Xiao Liu, Ji Zhao |
| 2016 | SNPD | Exploring topic models in software engineering data analysis: A survey. | Xiaobing Sun, Xiangyue Liu, Bin Li, Yucong Duan, Hui Yang, Jiajun Hu |