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ORCIDXiang Zhang 0012
Person information
- affiliation: University of New South Wales, Sydney, Australia
Other persons with the same name
- Xiang Zhang — disambiguation page
- Xiang Zhang 0001 — Pennsylvania State University, University Park, PA, USA (and 2 more)
- Xiang Zhang 0002
![[0000-0002-1017-742X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-1017-742X")
— Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, China (and 1 more) - Xiang Zhang 0003 — University of Louisville, Department of Chemistry, KY, USA
- Xiang Zhang 0004 — Peking University, Institute of Digital Media, Beijing, China
- Xiang Zhang 0005 — Arizona State University, School of Computing, Informatics, and Decision Systems Engineering, Tempe, AZ, USA
- Xiang Zhang 0006 — University of Electronic Science and Technology of China, School of Electronic Engineering, Chengdu, China (and 1 more)
- Xiang Zhang 0007 — Nanyang Technological University, School of Electrical and Electronic Engineering, Centre of Excellence in IC Design, Singapore
- Xiang Zhang 0008 — National University of Defense Technology, College of Computer, Science and Technology on Parallel and Distributed Processing Laboratory, Changsha, China
- Xiang Zhang 0009 — Shanghai Jiao Tong University, School of Mathematical Sciences, Key Laboratory of Scientific and Engineering Computing, Shanghai, China
- Xiang Zhang 0010 — Wuhan University, School of Resource and Environmental Sciences, Wuhan, China
- Xiang Zhang 0011 — Hefei University of Technology, China
- Xiang Zhang 0013 — New York University, NY, USA (and 1 more)
- Xiang Zhang 0014 — Chinese Academy of Sciences, Key Laboratory of Speech Acoustics and Content Understanding, China
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2020 – today
- 2021
[b2]Xiang Zhang, Lina Yao:
Deep Learning for EEG-Based Brain-Computer Interfaces - Representations, Algorithms and Applications. WorldScientific 2021, ISBN 9781786349583, pp. 1-296- [j10]Lei Bai, Lina Yao, Xianzhi Wang, Can Li, Xiang Zhang:
Deep spatial-temporal sequence modeling for multi-step passenger demand prediction. Future Gener. Comput. Syst. 121: 25-34 (2021) - 2020
- [b1]Xiang Zhang:
Data-Efficient Deep Representation Learning for Brain-Computer Interface and Its Applications. University of New South Wales, Sydney, Australia, 2020 - [j9]Lijian Xin, Yong Li, Shitong Zhe, Xiang Zhang:
On Over-the-Air Testing for Devices With Directional Antennas. IEEE Access 8: 121821-121832 (2020) - [j8]Weitao Xu, Xiang Zhang, Lina Yao, Wanli Xue, Bo Wei:
A multi-view CNN-based acoustic classification system for automatic animal species identification. Ad Hoc Networks 102: 102115 (2020) - [j7]Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Xiang Zhang:
Software expert discovery via knowledge domain embeddings in a collaborative network. Pattern Recognit. Lett. 130: 46-53 (2020) - [j6]Shuai Zhang, Lina Yao, Bin Wu, Xiwei Xu, Xiang Zhang, Liming Zhu:
Unraveling Metric Vector Spaces With Factorization for Recommendation. IEEE Trans. Ind. Informatics 16(2): 732-742 (2020) - [j5]Xiang Zhang, Lina Yao, Chaoran Huang, Tao Gu, Zheng Yang, Yunhao Liu:
DeepKey: A Multimodal Biometric Authentication System via Deep Decoding Gaits and Brainwaves. ACM Trans. Intell. Syst. Technol. 11(4): 49:1-49:24 (2020) - [j4]Xiang Zhang, Lina Yao, Manqing Dong, Zhe Liu, Yu Zhang, Yong Li:
Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection. IEEE J. Biomed. Health Informatics 24(10): 2852-2859 (2020) - [i18]Weitao Xu, Xiang Zhang, Lina Yao, Wanli Xue, Bo Wei:
A Multi-view CNN-based Acoustic Classification System for Automatic Animal Species Identification. CoRR abs/2002.09821 (2020)
2010 – 2019
- 2019
- [j3]Xiang Zhang, Xiaocong Chen, Manqing Dong, Huan Liu, Chang Ge, Lina Yao:
Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals. Aust. J. Intell. Inf. Process. Syst. 15(2): 36-43 (2019) - [j2]Xiang Zhang, Lina Yao, Shuai Zhang, Salil S. Kanhere, Michael Sheng, Yunhao Liu:
Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity. IEEE Internet Things J. 6(2): 2084-2092 (2019) - [c13]Xiaocong Chen, Chaoran Huang, Xiang Zhang, Xianzhi Wang, Wei Liu, Lina Yao:
Expert2Vec: Distributed Expert Representation Learning in Question Answering Community. ADMA 2019: 288-301 - [c12]Xiang Zhang, Lina Yao, Xianzhi Wang, Wenjie Zhang, Shuai Zhang, Yunhao Liu:
Know Your Mind: Adaptive Cognitive Activity Recognition with Reinforced CNN. ICDM 2019: 896-905 - [c11]Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, Manqing Dong:
Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning. ICONIP (4) 2019: 287-295 - [c10]Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Xiang Zhang, Quan Z. Sheng:
Dual-stream Self-Attentive Random Forest for False Information Detection. IJCNN 2019: 1-8 - [c9]Xiang Zhang, Lina Yao, Feng Yuan:
Adversarial Variational Embedding for Robust Semi-supervised Learning. KDD 2019: 139-147 - [i17]Xiang Zhang, Lina Yao, Feng Yuan:
Adversarial Variational Embedding for Robust Semi-supervised Learning. CoRR abs/1905.02361 (2019) - [i16]Xiang Zhang, Lina Yao, Xianzhi Wang, Jessica Monaghan, David McAlpine:
A Survey on Deep Learning based Brain Computer Interface: Recent Advances and New Frontiers. CoRR abs/1905.04149 (2019) - [i15]Xiang Zhang, Xiaocong Chen, Manqing Dong, Huan Liu, Chang Ge, Lina Yao:
Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals. CoRR abs/1907.13351 (2019) - [i14]Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, Manqing Dong:
Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning. CoRR abs/1907.13359 (2019) - [i13]Xiang Zhang, Lina Yao, Manqing Dong, Zhe Liu, Yu Zhang, Yong Li:
Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection. CoRR abs/1909.10868 (2019) - 2018
- [j1]Xiang Zhang, Lina Yao, Salil S. Kanhere, Yunhao Liu, Tao Gu, Kaixuan Chen:
MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(3): 149:1-149:23 (2018) - [c8]Dalin Zhang, Lina Yao, Xiang Zhang, Sen Wang, Weitong Chen, Robert Boots, Boualem Benatallah:
Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface. AAAI 2018: 1703-1710 - [c7]Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang:
Multi-modality Sensor Data Classification with Selective Attention. IJCAI 2018: 3111-3117 - [c6]Xiang Zhang, Lina Yao, Quan Z. Sheng, Salil S. Kanhere, Tao Gu, Dalin Zhang:
Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals. PerCom 2018: 1-10 - [c5]Xiang Zhang:
Context-aware Human Intent Inference for Improving Human Machine Cooperation. PerCom Workshops 2018: 456-457 - [c4]Weitong Chen, Sen Wang, Xiang Zhang, Lina Yao, Lin Yue, Buyue Qian, Xue Li:
EEG-based Motion Intention Recognition via Multi-task RNNs. SDM 2018: 279-287 - [c3]Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Xiang Zhang:
Data-Augmented Regression with Generative Convolutional Network. WISE (2) 2018: 301-311 - [i12]Xiang Zhang, Lina Yao, Xianzhi Wang, Wenjie Zhang, Zheng Yang, Yunhao Liu:
Know Your Mind: Adaptive Brain Signal Classification with Reinforced Attentive Convolutional Neural Networks. CoRR abs/1802.03996 (2018) - [i11]Xiang Zhang:
Context-aware Human Intent Inference for Improving Human Machine Cooperation. CoRR abs/1803.04099 (2018) - [i10]Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang:
Multi-modality Sensor Data Classification with Selective Attention. CoRR abs/1804.05493 (2018) - [i9]Xiang Zhang, Lina Yao, Shuai Zhang, Salil S. Kanhere, Quan Z. Sheng, Yunhao Liu:
Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity. CoRR abs/1805.00789 (2018) - [i8]Xiang Zhang, Lina Yao, Chaoran Huang, Salil S. Kanhere, Dalin Zhang:
Brain2Object: Printing Your Mind from Brain Signals with Spatial Correlation Embedding. CoRR abs/1810.02223 (2018) - [i7]Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Xiang Zhang:
Software Expert Discovery via Knowledge Domain Embeddings in a Collaborative Network. CoRR abs/1810.11305 (2018) - 2017
- [c2]Xiang Zhang, Lina Yao, Chaoran Huang, Quan Z. Sheng, Xianzhi Wang:
Intent Recognition in Smart Living Through Deep Recurrent Neural Networks. ICONIP (2) 2017: 748-758 - [c1]Xiang Zhang, Lina Yao, Dalin Zhang, Xianzhi Wang, Quan Z. Sheng, Tao Gu:
Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis. MobiQuitous 2017: 28-37 - [i6]Xiang Zhang, Lina Yao, Chaoran Huang, Quan Z. Sheng, Xianzhi Wang:
Enhancing Mind Controlled Smart Living Through Recurrent Neural Networks. CoRR abs/1702.06830 (2017) - [i5]Xiang Zhang, Lina Yao, Kaixuan Chen, Xianzhi Wang, Quan Z. Sheng, Tao Gu:
DeepKey: An EEG and Gait Based Dual-Authentication System. CoRR abs/1706.01606 (2017) - [i4]Dalin Zhang, Lina Yao, Xiang Zhang, Sen Wang, Weitong Chen, Robert Boots:
EEG-based Intention Recognition from Spatio-Temporal Representations via Cascade and Parallel Convolutional Recurrent Neural Networks. CoRR abs/1708.06578 (2017) - [i3]Xiang Zhang, Lina Yao, Quan Z. Sheng, Salil S. Kanhere, Tao Gu, Dalin Zhang:
Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals. CoRR abs/1709.08820 (2017) - [i2]Xiang Zhang, Lina Yao, Dalin Zhang, Xianzhi Wang, Quan Z. Sheng, Tao Gu:
Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis. CoRR abs/1709.09077 (2017) - [i1]Xiang Zhang, Lina Yao, Salil S. Kanhere, Yunhao Liu, Tao Gu, Kaixuan Chen:
MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network. CoRR abs/1711.06149 (2017)
Coauthor Index
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