Xiaoxi He

According to our database, Xiaoxi He authored at least 32 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Pre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural Networks.

Wenying Duan, Tianxiang Fang, Hong Rao, Xiaoxi He

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Weakly Supervised and Globally Explainable Learning Framework for Brain Tumor Segmentation.

Ruitao Xie, Limai Jiang, Xiaoxi He, Yi Pan, Yunpeng Cai

Proceedings of the IEEE International Conference on Multimedia and Expo, 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

Proceedings of the Database Systems for Advanced Applications, 2024

2023

On-Device Deep Multi-Task Inference via Multi-Task Zipping.

Xiaoxi He, Xu Wang, Zimu Zhou, Jiahang Wu, Zheng Yang, Lothar Thiele

IEEE Trans. Mob. Comput., May, 2023

Minimalist Traffic Prediction: Linear Layer Is All You Need.

Wenying Duan, Hong Rao, Wei Huang, Xiaoxi He

CoRR, 2023

MIMONet: Multi-Input Multi-Output On-Device Deep Learning.

Zexin Li, Xiaoxi He, Yufei Li, Shahab Nikkhoo, Wei Yang, Lothar Thiele, Cong Liu

CoRR, 2023

Representing Input Transformations by Low-Dimensional Parameter Subspaces.

Olga Saukh, Dong Wang, Xiaoxi He, Lothar Thiele

CoRR, 2023

RED: A Systematic Real-Time Scheduling Approach for Robotic Environmental Dynamics.

Zexin Li, Tao Ren, Xiaoxi He, Cong Liu

Proceedings of the IEEE Real-Time Systems Symposium, 2023

Localised Adaptive Spatial-Temporal Graph Neural Network.

Wenying Duan, Xiaoxi He, Zimu Zhou, Lothar Thiele, Hong Rao

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learning Dynamic Spatial Graphs and Spatial Patterns for Accurate Traffic Prediction.

Wenying Duan, Chen Lin, Jiayi Zhu, Xiaoxi He, Wei Huang, Hong Rao

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

2022

Towards On-Device Intelligence.

Xiaoxi He

PhD thesis, 2022

Toward Nonintrusive Camera-Based Heart Rate Variability Estimation in the Car Under Naturalistic Condition.

Shu Liu, Kevin Koch, Zimu Zhou, Martin Maritsch, Xiaoxi He, Elgar Fleisch, Felix Wortmann

IEEE Internet Things J., 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

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

Proceedings of the 19th Annual IEEE International Conference on Sensing, 2022

Combating Distribution Shift for Accurate Time Series Forecasting via Hypernetworks.

Wenying Duan, Xiaoxi He, Lu Zhou, Lothar Thiele, Hong Rao

Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022

Passtrans: An Improved Password Reuse Model Based on Transformer.

Xiaoxi He, Haibo Cheng, Jiahong Xie, Ping Wang, Kaitai Liang

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

The Empathetic Car: Exploring Emotion Inference via Driver Behaviour and Traffic Context.

Shu Liu, Kevin Koch, Zimu Zhou, Simon Föll, Xiaoxi He, Tina Menke, Elgar Fleisch, Felix Wortmann

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Pruning-Aware Merging for Efficient Multitask Inference.

Xiaoxi He, Dawei Gao, Zimu Zhou, Yongxin Tong, Lothar Thiele

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Injecting Descriptive Meta-Information into Pre-Trained Language Models with Hypernetworks.

Wenying Duan, Xiaoxi He, Zimu Zhou, Hong Rao, Lothar Thiele

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Pruning Meta-Trained Networks for On-Device Adaptation.

Dawei Gao, Xiaoxi He, Zimu Zhou, Yongxin Tong, Lothar Thiele

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Research Summary of Recommendation System Based on Knowledge Graph.

Xiaoxi He, Xinsheng Ke

Proceedings of the BDE 2021: The 3rd International Conference on Big Data Engineering, Shanghai, China, May 29, 2021

2020

Rethinking Pruning for Accelerating Deep Inference At the Edge.

Dawei Gao, Xiaoxi He, Zimu Zhou, Yongxin Tong, Ke Xu, Lothar Thiele

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

MapTransfer : Urban Air Quality Map Generation for Downscaled Sensor Deployments.

Yun Cheng, Xiaoxi He, Zimu Zhou, Lothar Thiele

Proceedings of the Fifth IEEE/ACM International Conference on Internet-of-Things Design and Implementation, 2020

Research on the Current Situation and Trend of Internationalization Development of Management Science and Engineering.

Xiaoxi He

Proceedings of the ICCMB 2020: The 3rd International Conference on Computers in Management and Business, Tokyo, Japan, January 31, 2020

An Improved RFID-based Authentication Protocol for Rail Transit.

Rong Zhu, Xiaoxi He, Jiahong Xie, Zongjie Zhang, Ping Wang

Proceedings of the 14th IEEE International Conference on Big Data Science and Engineering, 2020

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

Disentangling Redundancy for Multi-Task Pruning.

Xiaoxi He, Dawei Gao, Zimu Zhou, Yongxin Tong, Lothar Thiele

CoRR, 2019

2018

Frequency Scaling As a Security Threat on Multicore Systems.

Philipp Miedl, Xiaoxi He, Matthias Meyer, Davide Basilio Bartolini, Lothar Thiele

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018

Multi-Task Zipping via Layer-wise Neuron Sharing.

Xiaoxi He, Zimu Zhou, Lothar Thiele

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2011

A Novel Method for Large Crowd Flow.

Xiaoxi He, Leiting Chen, Qingxin Zhu

Trans. Edutainment, 2011

2008

Path Planning Based on Grid-Potential Fields.

Xiaoxi He, Leiting Chen

Proceedings of the International Conference on Computer Science and Software Engineering, 2008