Convolutional neural networks for human activity recognition using mobile sensors M Zeng, LT Nguyen, B Yu, OJ Mengshoel, J Zhu, P Wu, J Zhang 6th International Conference on Mobile Computing, Applications and Services …, 2014 | 1023 | 2014 |
Understanding and improving recurrent networks for human activity recognition by continuous attention M Zeng, H Gao, T Yu, OJ Mengshoel, H Langseth, I Lane, X Liu Proceedings of the 2018 ACM International Symposium on Wearable Computers, 56-63, 2018 | 194 | 2018 |
Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering J Xu, Y Ren, H Tang, X Pu, X Zhu, M Zeng, L He International Conference on Computer Vision (ICCV), 2021 | 127 | 2021 |
Ranking scientific articles by exploiting citations, authors, journals, and time information Y Wang, Y Tong, M Zeng Twenty-seventh AAAI conference on artificial intelligence, 2013 | 93 | 2013 |
Semi-supervised convolutional neural networks for human activity recognition M Zeng, T Yu, X Wang, LT Nguyen, OJ Mengshoel, I Lane 2017 IEEE International Conference on Big Data (Big Data), 522-529, 2017 | 90 | 2017 |
Recognizing new activities with limited training data LT Nguyen, M Zeng, P Tague, J Zhang Proceedings of the 2015 ACM International Symposium on Wearable Computers, 67-74, 2015 | 89 | 2015 |
Understanding the effects of carboxylated groups of functionalized graphene oxide on the curing behavior and intermolecular interactions of benzoxazine nanocomposites Q Xu, M Zeng, Z Feng, D Yin, Y Huang, Y Chen, C Yan, R Li, Y Gu RSC advances 6 (37), 31484-31496, 2016 | 63 | 2016 |
Improving Demand Prediction in Bike Sharing System by Learning Global Features M Zeng, T Yu, X Wang, V Su, LT Nguyen, OJ Mengshoel Machine Learning for Large Scale Transportation Systems (LSTS)@ KDD-16, 2016 | 38 | 2016 |
I did not smoke 100 cigarettes today!: avoiding false positives in real-world activity recognition LT Nguyen, M Zeng, P Tague, J Zhang Proceedings of the 2015 ACM International Joint Conference on Pervasive and …, 2015 | 33 | 2015 |
Sound Shredding: Privacy Preserved Audio Sensing S Kumar, LT Nguyen, M Zeng, K Liu, J Zhang Proceedings of the 16th International Workshop on Mobile Computing Systems …, 2015 | 22 | 2015 |
Superad: Supervised activity discovery LT Nguyen, P Tague, M Zeng, J Zhang Adjunct Proceedings of the 2015 ACM International Joint Conference on …, 2015 | 18 | 2015 |
Adaptive activity recognition with dynamic heterogeneous sensor fusion M Zeng, X Wang, LT Nguyen, P Wu, OJ Mengshoel, J Zhang 6th International Conference on Mobile Computing, Applications and Services …, 2014 | 18 | 2014 |
Xrec: Behavior-based user recognition across mobile devices X Wang, T Yu, M Zeng, P Tague Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2017 | 16 | 2017 |
AttriNet: learning mid-level features for human activity recognition with deep belief networks H Nair, C Tan, M Zeng, OJ Mengshoel, JP Shen Adjunct Proceedings of the 2019 ACM International Joint Conference on …, 2019 | 12 | 2019 |
City-identification of flickr videos using semantic acoustic features B Elizalde, GL Chao, M Zeng, I Lane 2016 IEEE Second International Conference on Multimedia Big Data (BigMM …, 2016 | 9 | 2016 |
DC-FUDA: Improving deep clustering via fully unsupervised domain adaptation Z Yang, Y Ren, Z Wu, M Zeng, J Xu, Y Yang, X Pu, SY Philip, L He Neurocomputing, 2023 | 6 | 2023 |
SemNet: Learning semantic attributes for human activity recognition with deep belief networks S Venkatachalam, H Nair, M Zeng, CS Tan, OJ Mengshoel, JP Shen Frontiers in big Data 5, 81, 2022 | 5 | 2022 |
Graph attention networks with lstm-based path reweighting J Chen, Y Wang, M Zeng, Z Xiang, Y Ren arXiv preprint arXiv:2106.10866, 2021 | 4 | 2021 |
Customized Graph Embedding: Tailoring Embedding Vectors to different Applications B Hou, Y Wang, M Zeng, S Jiang, OJ Mengshoel, Y Tong, J Bai arXiv, arXiv: 1911.09454, 2019 | 4 | 2019 |
A dynamic scheduling algorithm for distributed kahn process networks in a cluster environment Z Qian, M Zeng, D Qi, K Xu 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial …, 2008 | 4 | 2008 |