Path Planning Based on Grid-Potential Fields. - Xiaoxi He; Leiting Chen (CSSE (2), 2008)

A Novel Method for Large Crowd Flow. - Xiaoxi He; Leiting Chen; Qingxin Zhu (Trans. Edutainment, 2011)

Multi-Task Zipping via Layer-wise Neuron Sharing. - Xiaoxi He; Zimu Zhou; Lothar Thiele (NeurIPS, 2018)

Frequency Scaling As a Security Threat on Multicore Systems. - Philipp Miedl; Xiaoxi He; Matthias Meyer 005; Davide Basilio Bartolini; Lothar Thiele (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

Disentangling Redundancy for Multi-Task Pruning. - Xiaoxi He; Dawei Gao; Zimu Zhou; Yongxin Tong; Lothar Thiele (CoRR, 2019)

ICT: In-field Calibration Transfer for Air Quality Sensor Deployments. - Yun Cheng; Xiaoxi He; Zimu Zhou; Lothar Thiele (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

An Improved RFID-based Authentication Protocol for Rail Transit. - Rong Zhu; Xiaoxi He; Jiahong Xie; Zongjie Zhang; Ping Wang 003 (BigDataSE, 2020)

Research on the Current Situation and Trend of Internationalization Development of Management Science and Engineering. - Xiaoxi He (ICCMB, 2020)

MapTransfer : Urban Air Quality Map Generation for Downscaled Sensor Deployments. - Yun Cheng; Xiaoxi He; Zimu Zhou; Lothar Thiele (IoTDI, 2020)

Rethinking Pruning for Accelerating Deep Inference At the Edge. - Dawei Gao; Xiaoxi He; Zimu Zhou; Yongxin Tong; Ke Xu 001; Lothar Thiele (KDD, 2020)

Research Summary of Recommendation System Based on Knowledge Graph. - Xiaoxi He; Xinsheng Ke (BDE, 2021)

Pruning Meta-Trained Networks for On-Device Adaptation. - Dawei Gao; Xiaoxi He; Zimu Zhou; Yongxin Tong; Lothar Thiele (CIKM, 2021)

Injecting Descriptive Meta-Information into Pre-Trained Language Models with Hypernetworks. - Wenying Duan; Xiaoxi He; Zimu Zhou; Hong Rao; Lothar Thiele (Interspeech, 2021)

Pruning-Aware Merging for Efficient Multitask Inference. - Xiaoxi He; Dawei Gao; Zimu Zhou; Yongxin Tong; Lothar Thiele (KDD, 2021)

The Empathetic Car: Exploring Emotion Inference via Driver Behaviour and Traffic Context. - Shu Liu; Kevin Koch 001; Zimu Zhou; Simon Föll; Xiaoxi He; Tina Menke; Elgar Fleisch; Felix Wortmann (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

Passtrans: An Improved Password Reuse Model Based on Transformer. - Xiaoxi He; Haibo Cheng; Jiahong Xie; Ping Wang 003; Kaitai Liang (ICASSP, 2022)

Combating Distribution Shift for Accurate Time Series Forecasting via Hypernetworks. - Wenying Duan; Xiaoxi He; Lu Zhou; Lothar Thiele; Hong Rao (ICPADS, 2022)

Stitching Weight-Shared Deep Neural Networks for Efficient Multitask Inference on GPU. - Zeyu Wang; Xiaoxi He; Zimu Zhou; Xu Wang 018; Qiang Ma 007; Xin Miao; Zhuo Liu; Lothar Thiele; Zheng Yang 002 (SECON, 2022)

Hyper Attention Recurrent Neural Network: Tackling Temporal Covariate Shift in Time Series Analysis. - Wenying Duan; Xiaoxi He; Lu Zhou; Zimu Zhou; Lothar Thiele; Hong Rao (CoRR, 2022)

Toward Nonintrusive Camera-Based Heart Rate Variability Estimation in the Car Under Naturalistic Condition. - Shu Liu; Kevin Koch 001; Zimu Zhou; Martin Maritsch; Xiaoxi He; Elgar Fleisch; Felix Wortmann (IEEE Internet Things J., 2022)

Towards On-Device Intelligence. - Xiaoxi He (2022)

Learning Dynamic Spatial Graphs and Spatial Patterns for Accurate Traffic Prediction. - Wenying Duan; Chen Lin; Jiayi Zhu; Xiaoxi He; Wei Huang; Hong Rao (ICPADS, 2023)

Localised Adaptive Spatial-Temporal Graph Neural Network. - Wenying Duan; Xiaoxi He; Zimu Zhou; Lothar Thiele; Hong Rao (KDD, 2023)

RED: A Systematic Real-Time Scheduling Approach for Robotic Environmental Dynamics. - Zexin Li 001; Tao Ren; Xiaoxi He; Cong Liu 005 (RTSS, 2023)

Representing Input Transformations by Low-Dimensional Parameter Subspaces. - Olga Saukh; Dong Wang; Xiaoxi He; Lothar Thiele (CoRR, 2023)

MIMONet: Multi-Input Multi-Output On-Device Deep Learning. - Zexin Li 001; Xiaoxi He; Yufei Li 001; Shahab Nikkhoo; Wei Yang 013; Lothar Thiele; Cong Liu 005 (CoRR, 2023)

Minimalist Traffic Prediction: Linear Layer Is All You Need. - Wenying Duan; Hong Rao; Wei Huang; Xiaoxi He (CoRR, 2023)

On-Device Deep Multi-Task Inference via Multi-Task Zipping. - Xiaoxi He; Xu Wang 018; Zimu Zhou; Jiahang Wu; Zheng Yang 002; Lothar Thiele (IEEE Trans. Mob. Comput., 2023)

Research on 3D Cloud Modeling based on the Combination of Meteorological Data and Multiple Noises. - He Ren; Xiaoxi He; Liang Hu; Yunhui Guo; Jinwei Chen; Min Wang (CIPAE, 2024)

Subspace-Configurable Networks. - Dong Wang; Olga Saukh; Xiaoxi He; Lothar Thiele (CoLLAs, 2024)

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 (DASFAA (7), 2024)

A Weakly Supervised and Globally Explainable Learning Framework for Brain Tumor Segmentation. - Ruitao Xie; Limai Jiang; Xiaoxi He; Yi Pan; Yunpeng Cai (ICME, 2024)

Pre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural Networks. - Wenying Duan; Tianxiang Fang; Hong Rao; Xiaoxi He (KDD, 2024)

FedGTP: Exploiting Inter-Client Spatial Dependency in Federated Graph-based Traffic Prediction. - Linghua Yang; Wantong Chen; Xiaoxi He; Shuyue Wei; Yi Xu 013; Zimu Zhou; Yongxin Tong (KDD, 2024)

Dynamic Localisation of Spatial-Temporal Graph Neural Network. - Wenying Duan; Shujun Guo; Zimu Zhou; Wei Huang 013; Hong Rao; Xiaoxi He (KDD (1), 2025)

Dynamic Localisation of Spatial-Temporal Graph Neural Network. - Wenying Duan; Shujun Guo; Wei Huang; Hong Rao; Xiaoxi He (CoRR, 2025)