Tianwei Xing

According to our database, Tianwei Xing authored at least 18 papers between 2012 and 2024.

Collaborative distances:

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

2024

Confidence-based interactable neural-symbolic visual question answering.

Yajie Bao, Tianwei Xing, Xun Chen

Neurocomputing, January, 2024

Learning to Compress Prompt in Natural Language Formats.

Yu-Neng Chuang, Tianwei Xing, Chia-Yuan Chang, Zirui Liu, Xun Chen, Xia Hu

CoRR, 2024

2023

DeepProbCEP: A neuro-symbolic approach for complex event processing in adversarial settings.

Marc Roig Vilamala, Tianwei Xing, Harrison Taylor, Luis Garcia, Mani Srivastava, Lance M. Kaplan, Alun D. Preece, Angelika Kimmig, Federico Cerutti

Expert Syst. Appl., April, 2023

2021

Deep Learning for Sensing in Complex and Dynamic Environments.

Tianwei Xing

PhD thesis, 2021

Using DeepProbLog to perform Complex Event Processing on an Audio Stream.

Marc Roig Vilamala, Tianwei Xing, Harrison Taylor, Luis Garcia, Mani B. Srivastava, Lance M. Kaplan, Alun D. Preece, Angelika Kimmig, Federico Cerutti

CoRR, 2021

DeepSQA: Understanding Sensor Data via Question Answering.

Tianwei Xing, Luis Garcia, Federico Cerutti, Lance M. Kaplan, Alun D. Preece, Mani B. Srivastava

Proceedings of the IoTDI '21: International Conference on Internet-of-Things Design and Implementation, 2021

2020

An Experimentation Platform for Explainable Coalition Situational Understanding.

Katie Barrett-Powell, Jack Furby, Liam Hiley, Marc Roig Vilamala, Harrison Taylor, Federico Cerutti, Alun D. Preece, Tianwei Xing, Luis Garcia, Mani B. Srivastava, Dave Braines

CoRR, 2020

A Hybrid Neuro-Symbolic Approach for Complex Event Processing.

Marc Roig Vilamala, Harrison Taylor, Tianwei Xing, Luis Garcia, Mani B. Srivastava, Lance M. Kaplan, Alun D. Preece, Angelika Kimmig, Federico Cerutti

CoRR, 2020

Neuroplex: learning to detect complex events in sensor networks through knowledge injection.

Tianwei Xing, Luis Garcia, Marc Roig Vilamala, Federico Cerutti, Lance M. Kaplan, Alun D. Preece, Mani B. Srivastava

Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

2019

DeepCEP: Deep Complex Event Processing Using Distributed Multimodal Information.

Tianwei Xing, Marc Roig Vilamala, Luis Garcia, Federico Cerutti, Lance M. Kaplan, Alun D. Preece, Mani B. Srivastava

Proceedings of the IEEE International Conference on Smart Computing, 2019

2018

Enabling Edge Devices that Learn from Each Other: Cross Modal Training for Activity Recognition.

Tianwei Xing, Sandeep Singh Sandha, Bharathan Balaji, Supriyo Chakraborty, Mani B. Srivastava

Proceedings of the 1st International Workshop on Edge Systems, Analytics and Networking, 2018

Why the Failure? How Adversarial Examples Can Provide Insights for Interpretable Machine Learning.

Richard Tomsett, Amy Widdicombe, Tianwei Xing, Supriyo Chakraborty, Simon Julier, Prudhvi Gurram, Raghuveer M. Rao, Mani B. Srivastava

Proceedings of the 21st International Conference on Information Fusion, 2018

Learning and Reasoning in Complex Coalition Information Environments: A Critical Analysis.

Federico Cerutti, Moustafa Alzantot, Tianwei Xing, Daniel Harborne, Jonathan Z. Bakdash, Dave Braines, Supriyo Chakraborty, Lance M. Kaplan, Angelika Kimmig, Alun D. Preece, Ramya Raghavendra, Murat Sensoy, Mani B. Srivastava

Proceedings of the 21st International Conference on Information Fusion, 2018

2017

Deep learning for situational understanding.

Supriyo Chakraborty, Alun D. Preece, Moustafa Alzantot, Tianwei Xing, Dave Braines, Mani B. Srivastava

Proceedings of the 20th International Conference on Information Fusion, 2017

Accelerating Binarized Convolutional Neural Networks with Software-Programmable FPGAs.

Ritchie Zhao, Weinan Song, Wentao Zhang, Tianwei Xing, Jeng-Hau Lin, Mani B. Srivastava, Rajesh Gupta, Zhiru Zhang

Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2017

Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration.

Jeng-Hau Lin, Tianwei Xing, Ritchie Zhao, Zhiru Zhang, Mani B. Srivastava, Zhuowen Tu, Rajesh K. Gupta

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Personalized Course Sequence Recommendations.

Jie Xu, Tianwei Xing, Mihaela van der Schaar

IEEE Trans. Signal Process., 2016

2012

Markerless Motion Capture of Human Body Using PSO with Single Depth Camera.

Tianwei Xing, Yao Yu, Yu Zhou, Sidan Du

Proceedings of the 2012 Second International Conference on 3D Imaging, 2012