Ming Zeng

Affiliations:
  • Carnegie Mellon University Silicon Valley, Moffett Field, CA, USA


According to our database1, Ming Zeng authored at least 26 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Customizing graph neural networks using path reweighting.
Inf. Sci., 2024

Corrigendum: SemNet: Learning semantic attributes for human activity recognition with deep belief networks.
Frontiers Big Data, 2024

Collaborative Multi-Task Representation for Natural Language Understanding.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
DC-FUDA: Improving deep clustering via fully unsupervised domain adaptation.
Neurocomputing, March, 2023

2022
SemNet: Learning semantic attributes for human activity recognition with deep belief networks.
Frontiers Big Data, 2022

2021
Graph Attention Networks with LSTM-based Path Reweighting.
CoRR, 2021

Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Stochastic Local Search and Machine Learning: From Theory to Applications and Vice Versa.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
Customized Graph Embedding: Tailoring the Embedding Vector to a Specific Application.
CoRR, 2019

AttriNet: learning mid-level features for human activity recognition with deep belief networks.
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

2018
Improving Bag-Of-Words: Capturing Local Information for Motion-Based Activity Recognition.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

Understanding and improving recurrent networks for human activity recognition by continuous attention.
Proceedings of the 2018 ACM International Symposium on Wearable Computers, 2018

Captioning with Language-Based Attention.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

2017
XRec: Behavior-Based User Recognition Across Mobile Devices.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Semi-supervised convolutional neural networks for human activity recognition.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
City-Identification of Flickr Videos Using Semantic Acoustic Features.
Proceedings of the IEEE Second International Conference on Multimedia Big Data, 2016

2015
Sound Shredding: Privacy Preserved Audio Sensing.
Proceedings of the 16th International Workshop on Mobile Computing Systems and Applications, 2015

Recognizing new activities with limited training data.
Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015

I did not smoke 100 cigarettes today!: avoiding false positives in real-world activity recognition.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015

SuperAD: supervised activity discovery.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015

2014
Adaptive activity recognition with dynamic heterogeneous sensor fusion.
Proceedings of the 6th International Conference on Mobile Computing, 2014

Convolutional Neural Networks for human activity recognition using mobile sensors.
Proceedings of the 6th International Conference on Mobile Computing, 2014

User exercise pattern prediction through mobile sensing.
Proceedings of the 6th International Conference on Mobile Computing, 2014

2013
Ranking Scientific Articles by Exploiting Citations, Authors, Journals, and Time Information.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Domain Transfer Dimensionality Reduction via Discriminant Kernel Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

2008
A Dynamic Scheduling Algorithm for Distributed Kahn Process Networks in a Cluster Environment.
Proceedings of the PACIIA 2008, 2008


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