| 2026 | ACL | SWE-AGILE: A Software Agent Framework for Efficiently Managing Dynamic Reasoning Context. | Shuquan Lian, Juncheng Liu, Yazhe Chen, Yuhong Chen, Hui Li |
| 2025 | EuroSys | Comprehensive Deadlock Prevention for GPU Collective Communication. | Lichen Pan, Juncheng Liu, Yongquan Fu, Jinhui Yuan, Rongkai Zhang, Pengze Li, Zhen Xiao |
| 2025 | ICML | Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts. | Xu Liu, Juncheng Liu, Gerald Woo, Taha Aksu, Yuxuan Liang, Roger Zimmermann, Chenghao Liu, Junnan Li, Silvio Savarese, Caiming Xiong, Doyen Sahoo |
| 2024 | DASFAA | EGNN-AD: An Effective Graph Neural Network-Based Approach for Anomaly Detection on Edge-Attributed Graphs. | Hewen Wang, Bryan Hooi, Dan He, Juncheng Liu, Xiaokui Xiao |
| 2024 | ICLR | Scalable and Effective Implicit Graph Neural Networks on Large Graphs. | Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Yiwei Wang, Chaosheng Dong, Xiaokui Xiao |
| 2023 | PPoPP | Swift: Expedited Failure Recovery for Large-Scale DNN Training. | Yuchen Zhong, Guangming Sheng, Juncheng Liu, Jinhui Yuan, Chuan Wu |
| 2023 | WWW | Node-wise Diffusion for Scalable Graph Learning. | Keke Huang, Jing Tang, Juncheng Liu, Renchi Yang, Xiaokui Xiao |
| 2022 | AAAI | A Fusion-Denoising Attack on InstaHide with Data Augmentation. | Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi |
| 2022 | HCI | Analysis of the Development Trend of Artificial Intelligence Technology Application in the Field of Sports-Based on Patent Measurement. | Ti Hu, Jianghao Guo, Tao Zhang, Juncheng Liu, Xuezhang Sun, Zhaohe Chang |
| 2022 | NAACL | Dangling-Aware Entity Alignment with Mixed High-Order Proximities. | Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, Muhao Chen |
| 2022 | NAACL | Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis. | Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi |
| 2020 | IVCNZ | Variational Autoencoder for 3D Voxel Compression. | Juncheng Liu, Steven Mills, Brendan McCane |
| 2020 | KDD | NodeAug: Semi-Supervised Node Classification with Data Augmentation. | Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Juncheng Liu, Bryan Hooi |
| 2019 | HPCC | PrivStream: Enabling Privacy-Preserving Inferences on IoT Data Stream at the Edge. | Dan Wang, Ju Ren, Chugui Xu, Juncheng Liu, Zhibo Wang, Yaoxue Zhang, Xuemin Shen |
| 2018 | WWW | Multi-task Learning for Author Profiling with Hierarchical Features. | Zhile Jiang, Shuai Yu, Qiang Qu, Min Yang, Junyu Luo, Juncheng Liu |
| 2017 | CVPR | Incremental Kernel Null Space Discriminant Analysis for Novelty Detection. | Juncheng Liu, Zhouhui Lian, Yi Wang, Jianguo Xiao |
| 2017 | SiggraphA | Auto-colorization of 3D models from images. | Juncheng Liu, Zhouhui Lian, Jianguo Xiao |
| 2015 | SIGGRAPH | Sketch based modeling via manifold regularization. | Juncheng Liu, Zhouhui Lian, Jie Feng, Bingfeng Zhou |