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ORCIDMing Zeng 0009
Person information
- affiliation: Carnegie Mellon University Silicon Valley, Moffett Field, CA, USA
Other persons with the same name
- Ming Zeng — disambiguation page
- Ming Zeng 0001
![[0000-0002-4364-7192]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-4364-7192")
— Tianjin University, School of Electrical Engineering and Automation, Tianjin, China - Ming Zeng 0002 — Laval University, Quebec City, Canada (and 3 more)
- Ming Zeng 0004 — Beijing Institute of Technology, Beijing, China
- Ming Zeng 0005 — China University of Geosciences, Wuhan, China
- Ming Zeng 0006 — East China Normal University, School of Computer Science and Technology, Shanghai, China (and 1 more)
- Ming Zeng 0007 — Harbin Institute of Technology, School of Astronautics, Research Center of Space Control and Inertial Technology, Harbin, China
- Ming Zeng 0008 — Xiamen University, Software School, Xiamen, China (and 1 more)
- Ming Zeng 0010 — Tsinghua University,Beijing, China (and 1 more)
- Ming Zeng 0011 — North China Electric Power University, School of Business Administration, Research Centre of Energy and Electricity Economics, Beijing, China
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2020 – today
- 2024
[j5]Shanmuga Venkatachalam, Harideep Nair, Ming Zeng, Cathy Tan, Ole J. Mengshoel, John Paul Shen:
Corrigendum: SemNet: Learning semantic attributes for human activity recognition with deep belief networks. Frontiers Big Data 6 (2024)- [j4]Jianpeng Chen, Yujing Wang, Ming Zeng, Zongyi Xiang, Bitan Hou, Tong Yu, Ole J. Mengshoel, Yazhou Ren:
Customizing graph neural networks using path reweighting. Inf. Sci. 674: 120681 (2024) - [c19]Yaming Yang, Defu Cao, Ming Zeng, Jing Yu, Xiang Ren, Yunhai Tong, Yujing Wang:
Collaborative Multi-Task Representation for Natural Language Understanding. IJCNN 2024: 1-8 - 2023
- [j3]Zhimeng Yang, Yazhou Ren, Zirui Wu, Ming Zeng, Jie Xu, Yang Yang, Xiaorong Pu, Philip S. Yu, Lifang He:
DC-FUDA: Improving deep clustering via fully unsupervised domain adaptation. Neurocomputing 526: 109-120 (2023) - 2022
- [j2]Shanmuga Venkatachalam, Harideep Nair, Ming Zeng, Cathy Tan, Ole J. Mengshoel, John Paul Shen:
SemNet: Learning semantic attributes for human activity recognition with deep belief networks. Frontiers Big Data 5 (2022) - 2021
- [c18]Jie Xu, Yazhou Ren, Huayi Tang, Xiaorong Pu, Xiaofeng Zhu, Ming Zeng, Lifang He:
Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering. ICCV 2021: 9214-9223 - [i5]Jianpeng Chen, Yujing Wang, Ming Zeng, Zongyi Xiang, Yazhou Ren:
Graph Attention Networks with LSTM-based Path Reweighting. CoRR abs/2106.10866 (2021) - 2020
- [c17]Ole Jakob Mengshoel, Tong Yu, Ming Zeng:
Stochastic Local Search and Machine Learning: From Theory to Applications and Vice Versa. ECAI 2020: 2919-2920
2010 – 2019
- 2019
- [c16]Harideep Nair, Cathy Tan, Ming Zeng, Ole J. Mengshoel, John Paul Shen:
AttriNet: learning mid-level features for human activity recognition with deep belief networks. UbiComp/ISWC Adjunct 2019: 510-517 - [i4]Bitan Hou, Yujing Wang, Ming Zeng, Shan Jiang, Ole J. Mengshoel, Yunhai Tong, Jing Bai:
Customized Graph Embedding: Tailoring the Embedding Vector to a Specific Application. CoRR abs/1911.09454 (2019) - 2018
- [c15]Anshu Rajendra, Ritwik Rajendra, Ole J. Mengshoel, Ming Zeng, Momina Haider:
Captioning with Language-Based Attention. DSAA 2018: 415-423 - [c14]Ming Zeng, Haoxiang Gao, Tong Yu, Ole J. Mengshoel, Helge Langseth, Ian R. Lane, Xiaobing Liu:
Understanding and improving recurrent networks for human activity recognition by continuous attention. UbiComp 2018: 56-63 - [c13]Ming Zeng, Tong Yu, Ole J. Mengshoel, Helen Qin, Chris Lee, John Paul Shen:
Improving Bag-Of-Words: Capturing Local Information for Motion-Based Activity Recognition. UbiComp/ISWC Adjunct 2018: 1345-1354 - [i3]Ming Zeng, Tong Yu, Xiao Wang, Le T. Nguyen, Ole J. Mengshoel, Ian R. Lane:
Semi-Supervised Convolutional Neural Networks for Human Activity Recognition. CoRR abs/1801.07827 (2018) - [i2]Ming Zeng, Haoxiang Gao, Tong Yu, Ole J. Mengshoel, Helge Langseth, Ian R. Lane, Xiaobing Liu:
Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention. CoRR abs/1810.04038 (2018) - 2017
- [j1]Xiao Wang, Tong Yu, Ming Zeng, Patrick Tague:
XRec: Behavior-Based User Recognition Across Mobile Devices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(3): 111:1-111:26 (2017) - [c12]Ming Zeng, Tong Yu, Xiao Wang, Le T. Nguyen, Ole J. Mengshoel, Ian R. Lane:
Semi-supervised convolutional neural networks for human activity recognition. IEEE BigData 2017: 522-529 - 2016
- [c11]Benjamin Elizalde, Guan-Lin Chao, Ming Zeng, Ian R. Lane:
City-Identification of Flickr Videos Using Semantic Acoustic Features. BigMM 2016: 303-306 - [i1]Benjamin Elizalde, Guan-Lin Chao, Ming Zeng, Ian R. Lane:
City-Identification of Flickr Videos Using Semantic Acoustic Features. CoRR abs/1607.03257 (2016) - 2015
- [c10]Le T. Nguyen, Ming Zeng, Patrick Tague, Joy Zhang:
I did not smoke 100 cigarettes today!: avoiding false positives in real-world activity recognition. UbiComp 2015: 1053-1063 - [c9]Le T. Nguyen, Patrick Tague, Ming Zeng, Joy Zhang:
SuperAD: supervised activity discovery. UbiComp/ISWC Adjunct 2015: 1463-1472 - [c8]Le T. Nguyen, Ming Zeng, Patrick Tague, Joy Zhang:
Recognizing new activities with limited training data. ISWC 2015: 67-74 - [c7]Sumeet Kumar, Le T. Nguyen, Ming Zeng, Kate Liu, Joy Zhang:
Sound Shredding: Privacy Preserved Audio Sensing. HotMobile 2015: 135-140 - 2014
- [c6]Georgi Kotsev, Le T. Nguyen, Ming Zeng, Joy Zhang:
User exercise pattern prediction through mobile sensing. MobiCASE 2014: 182-188 - [c5]Ming Zeng, Xiao Wang, Le T. Nguyen, Pang Wu, Ole J. Mengshoel, Joy Zhang:
Adaptive activity recognition with dynamic heterogeneous sensor fusion. MobiCASE 2014: 189-196 - [c4]Ming Zeng, Le T. Nguyen, Bo Yu, Ole J. Mengshoel, Jiang Zhu, Pang Wu, Joy Zhang:
Convolutional Neural Networks for human activity recognition using mobile sensors. MobiCASE 2014: 197-205 - 2013
- [c3]Yujing Wang, Yunhai Tong, Ming Zeng:
Ranking Scientific Articles by Exploiting Citations, Authors, Journals, and Time Information. AAAI 2013: 933-939 - 2012
- [c2]Ming Zeng, Jiangtao Ren:
Domain Transfer Dimensionality Reduction via Discriminant Kernel Learning. PAKDD (2) 2012: 280-291
2000 – 2009
- 2008
- [c1]Zhengping Qian, Ming Zeng, Deyu Qi, Kefu Xu:
A Dynamic Scheduling Algorithm for Distributed Kahn Process Networks in a Cluster Environment. PACIIA (2) 2008: 36-42
Coauthor Index
aka: Ole Jakob Mengshoel
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