| 2025 | KDD | Dynamic Localisation of Spatial-Temporal Graph Neural Network. | Wenying Duan, Shujun Guo, Zimu Zhou, Wei Huang, Hong Rao, Xiaoxi He |
| 2025 | KDD | FedMetro: Efficient Metro Passenger Flow Prediction via Federated Graph Learning. | Tianlong Zhang, Xiaoxi He, Yuxiang Wang, Yi Xu, Rendi Wu, Zhifei Wang, Yongxin Tong |
| 2024 | DASFAA | Novel UGA Homologous URL Recognition in Real-World Financial Cybercrimes: Self-supervised Deep Learning of URL Semantics. | Guolin Shao, Zeshui Xu, Xiaoxi He, Hong Rao, Wei Huang, Wenying Duan |
| 2024 | KDD | Pre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural Networks. | Wenying Duan, Tianxiang Fang, Hong Rao, Xiaoxi He |
| 2024 | KDD | FedGTP: Exploiting Inter-Client Spatial Dependency in Federated Graph-based Traffic Prediction. | Linghua Yang, Wantong Chen, Xiaoxi He, Shuyue Wei, Yi Xu, Zimu Zhou, Yongxin Tong |
| 2023 | ICPADS | Learning Dynamic Spatial Graphs and Spatial Patterns for Accurate Traffic Prediction. | Wenying Duan, Chen Lin, Jiayi Zhu, Xiaoxi He, Wei Huang, Hong Rao |
| 2023 | KDD | Localised Adaptive Spatial-Temporal Graph Neural Network. | Wenying Duan, Xiaoxi He, Zimu Zhou, Lothar Thiele, Hong Rao |
| 2023 | RTSS | RED: A Systematic Real-Time Scheduling Approach for Robotic Environmental Dynamics. | Zexin Li, Tao Ren, Xiaoxi He, Cong Liu |
| 2022 | ICASSP | Passtrans: An Improved Password Reuse Model Based on Transformer. | Xiaoxi He, Haibo Cheng, Jiahong Xie, Ping Wang, Kaitai Liang |
| 2022 | ICPADS | Combating Distribution Shift for Accurate Time Series Forecasting via Hypernetworks. | Wenying Duan, Xiaoxi He, Lu Zhou, Lothar Thiele, Hong Rao |
| 2022 | SECON | Stitching Weight-Shared Deep Neural Networks for Efficient Multitask Inference on GPU. | Zeyu Wang, Xiaoxi He, Zimu Zhou, Xu Wang, Qiang Ma, Xin Miao, Zhuo Liu, Lothar Thiele, Zheng Yang |
| 2021 | CIKM | Pruning Meta-Trained Networks for On-Device Adaptation. | Dawei Gao, Xiaoxi He, Zimu Zhou, Yongxin Tong, Lothar Thiele |
| 2021 | Interspeech | Injecting Descriptive Meta-Information into Pre-Trained Language Models with Hypernetworks. | Wenying Duan, Xiaoxi He, Zimu Zhou, Hong Rao, Lothar Thiele |
| 2021 | KDD | Pruning-Aware Merging for Efficient Multitask Inference. | Xiaoxi He, Dawei Gao, Zimu Zhou, Yongxin Tong, Lothar Thiele |
| 2020 | KDD | Rethinking Pruning for Accelerating Deep Inference At the Edge. | Dawei Gao, Xiaoxi He, Zimu Zhou, Yongxin Tong, Ke Xu, Lothar Thiele |