Xiaoxi He

42 papers A* 6A 4B 3Misc 1Journal 17Unranked 10
YearRankTypeTitle / Venue / Authors
2025 — conf
Dynamic Localisation of Spatial-Temporal Graph Neural Network.
KDD (1)
Wenying Duan, Shujun Guo, Zimu Zhou, Wei Huang, Hong Rao, Xiaoxi He
2025 J jnl
Dynamic Localisation of Spatial-Temporal Graph Neural Network.
CoRR
Wenying Duan, Shujun Guo, Wei Huang, Hong Rao, Xiaoxi He
2025 — conf
FedMetro: Efficient Metro Passenger Flow Prediction via Federated Graph Learning.
KDD (2)
Tianlong Zhang, Xiaoxi He, Yuxiang Wang, Yi Xu, Rendi Wu, Zhifei Wang, Yongxin Tong
2024 A conf
A Weakly Supervised and Globally Explainable Learning Framework for Brain Tumor Segmentation.
ICME
Ruitao Xie, Limai Jiang, Xiaoxi He, Yi Pan, Yunpeng Cai
2024 J jnl
A Weakly Supervised and Globally Explainable Learning Framework for Brain Tumor Segmentation.
CoRR
Ruitao Xie, Limai Jiang, Xiaoxi He, Yi Pan, Yunpeng Cai
2024 A* conf
FedGTP: Exploiting Inter-Client Spatial Dependency in Federated Graph-based Traffic Prediction.
KDD
Linghua Yang, Wantong Chen, Xiaoxi He, Shuyue Wei, Yi Xu, Zimu Zhou, Yongxin Tong
2024 — conf
Novel UGA Homologous URL Recognition in Real-World Financial Cybercrimes: Self-supervised Deep Learning of URL Semantics.
DASFAA (7)
Guolin Shao, Zeshui Xu, Xiaoxi He, Hong Rao, Wei Huang, Wenying Duan
2024 A* conf
Pre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural Networks.
KDD
Wenying Duan, Tianxiang Fang, Hong Rao, Xiaoxi He
2024 J jnl
Pre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural Networks.
CoRR
Wenying Duan, Tianxiang Fang, Hong Rao, Xiaoxi He
2024 — conf
Research on 3D Cloud Modeling based on the Combination of Meteorological Data and Multiple Noises.
CIPAE
He Ren, Xiaoxi He, Liang Hu, Yunhui Guo, Jinwei Chen, Min Wang
2024 — conf
Subspace-Configurable Networks.
CoLLAs
Dong Wang, Olga Saukh, Xiaoxi He, Lothar Thiele
2023 B conf
Learning Dynamic Spatial Graphs and Spatial Patterns for Accurate Traffic Prediction.
ICPADS
Wenying Duan, Chen Lin, Jiayi Zhu, Xiaoxi He, Wei Huang, Hong Rao
2023 A* conf
Localised Adaptive Spatial-Temporal Graph Neural Network.
KDD
Wenying Duan, Xiaoxi He, Zimu Zhou, Lothar Thiele, Hong Rao
2023 J jnl
Localised Adaptive Spatial-Temporal Graph Neural Network.
CoRR
Wenying Duan, Xiaoxi He, Zimu Zhou, Lothar Thiele, Hong Rao
2023 J jnl
MIMONet: Multi-Input Multi-Output On-Device Deep Learning.
CoRR
Zexin Li, Xiaoxi He, Yufei Li, Shahab Nikkhoo, Wei Yang, Lothar Thiele, Cong Liu
2023 J jnl
Minimalist Traffic Prediction: Linear Layer Is All You Need.
CoRR
Wenying Duan, Hong Rao, Wei Huang, Xiaoxi He
2023 J jnl
On-Device Deep Multi-Task Inference via Multi-Task Zipping.
IEEE Trans. Mob. Comput.
Xiaoxi He, Xu Wang, Zimu Zhou, Jiahang Wu, Zheng Yang, Lothar Thiele
2023 A conf
RED: A Systematic Real-Time Scheduling Approach for Robotic Environmental Dynamics.
RTSS
Zexin Li, Tao Ren, Xiaoxi He, Cong Liu
2023 J jnl
RED: A Systematic Real-Time Scheduling Approach for Robotic Environmental Dynamics.
CoRR
Zexin Li, Tao Ren, Xiaoxi He, Cong Liu
2023 J jnl
Representing Input Transformations by Low-Dimensional Parameter Subspaces.
CoRR
Olga Saukh, Dong Wang, Xiaoxi He, Lothar Thiele
2022 B conf
Combating Distribution Shift for Accurate Time Series Forecasting via Hypernetworks.
ICPADS
Wenying Duan, Xiaoxi He, Lu Zhou, Lothar Thiele, Hong Rao
2022 J jnl
Hyper Attention Recurrent Neural Network: Tackling Temporal Covariate Shift in Time Series Analysis.
CoRR
Wenying Duan, Xiaoxi He, Lu Zhou, Zimu Zhou, Lothar Thiele, Hong Rao
2022 Misc conf
Passtrans: An Improved Password Reuse Model Based on Transformer.
ICASSP
Xiaoxi He, Haibo Cheng, Jiahong Xie, Ping Wang, Kaitai Liang
2022 B conf
Stitching Weight-Shared Deep Neural Networks for Efficient Multitask Inference on GPU.
SECON
Zeyu Wang, Xiaoxi He, Zimu Zhou, Xu Wang, Qiang Ma, Xin Miao, Zhuo Liu, Lothar Thiele, Zheng Yang
2022 J jnl
Toward Nonintrusive Camera-Based Heart Rate Variability Estimation in the Car Under Naturalistic Condition.
IEEE Internet Things J.
Shu Liu, Kevin Koch, Zimu Zhou, Martin Maritsch, Xiaoxi He, Elgar Fleisch, Felix Wortmann
2022 — —
Towards On-Device Intelligence.
Xiaoxi He
2021 A conf
Injecting Descriptive Meta-Information into Pre-Trained Language Models with Hypernetworks.
Interspeech
Wenying Duan, Xiaoxi He, Zimu Zhou, Hong Rao, Lothar Thiele
2021 A conf
Pruning Meta-Trained Networks for On-Device Adaptation.
CIKM
Dawei Gao, Xiaoxi He, Zimu Zhou, Yongxin Tong, Lothar Thiele
2021 A* conf
Pruning-Aware Merging for Efficient Multitask Inference.
KDD
Xiaoxi He, Dawei Gao, Zimu Zhou, Yongxin Tong, Lothar Thiele
2021 — conf
Research Summary of Recommendation System Based on Knowledge Graph.
BDE
Xiaoxi He, Xinsheng Ke
2021 J jnl
The Empathetic Car: Exploring Emotion Inference via Driver Behaviour and Traffic Context.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Shu Liu, Kevin Koch, Zimu Zhou, Simon Föll, Xiaoxi He, Tina Menke, Elgar Fleisch, Felix Wortmann
2020 — conf
An Improved RFID-based Authentication Protocol for Rail Transit.
BigDataSE
Rong Zhu, Xiaoxi He, Jiahong Xie, Zongjie Zhang, Ping Wang
2020 — conf
MapTransfer : Urban Air Quality Map Generation for Downscaled Sensor Deployments.
IoTDI
Yun Cheng, Xiaoxi He, Zimu Zhou, Lothar Thiele
2020 — conf
Research on the Current Situation and Trend of Internationalization Development of Management Science and Engineering.
ICCMB
Xiaoxi He
2020 A* conf
Rethinking Pruning for Accelerating Deep Inference At the Edge.
KDD
Dawei Gao, Xiaoxi He, Zimu Zhou, Yongxin Tong, Ke Xu, Lothar Thiele
2019 J jnl
Disentangling Redundancy for Multi-Task Pruning.
CoRR
Xiaoxi He, Dawei Gao, Zimu Zhou, Yongxin Tong, Lothar Thiele
2019 J jnl
ICT: In-field Calibration Transfer for Air Quality Sensor Deployments.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Yun Cheng, Xiaoxi He, Zimu Zhou, Lothar Thiele
2018 J jnl
Frequency Scaling As a Security Threat on Multicore Systems.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Philipp Miedl, Xiaoxi He, Matthias Meyer, Davide Basilio Bartolini, Lothar Thiele
2018 A* conf
Multi-Task Zipping via Layer-wise Neuron Sharing.
NeurIPS
Xiaoxi He, Zimu Zhou, Lothar Thiele
2018 J jnl
Multi-Task Zipping via Layer-wise Neuron Sharing.
CoRR
Xiaoxi He, Zimu Zhou, Lothar Thiele
2011 J jnl
A Novel Method for Large Crowd Flow.
Trans. Edutainment
Xiaoxi He, Leiting Chen, Qingxin Zhu
2008 — conf
Path Planning Based on Grid-Potential Fields.
CSSE (2)
Xiaoxi He, Leiting Chen