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ORCIDXiang Zhang 0012
Person information
- affiliation: University of North Carolina at Charlotte, Department of Computer Science, NC, USA
- affiliation: Harvard University, Harvard Medical School, Boston, MA, USA
- affiliation (PhD 2020): University of New South Wales, School of Computer Science and Engineering, Sydney, Australia
Other persons with the same name
- Xiang Zhang — disambiguation page
- Xiang Zhang 0001
![[0000-0003-0940-6595]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-0940-6595")
— Pennsylvania State University, University Park, PA, USA (and 2 more) - Xiang Zhang 0002 — 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 — Tencent America, Media Laboratory, Palo Alto, CA, USA (and 1 more)
- 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
- Xiang Zhang 0015 — UC San Diego, CA, USA (and 1 more)
- Xiang Zhang 0016 — University of Wyoming, Department of Mechanical Engineering, Laramie, WY, USA
- Xiang Zhang 0017 — Dalian Maritime University, College of Transportation Engineering, Liaoning, China (and 1 more)
- Xiang Zhang 0018 — Northwest University, School of Information and Technology, Xi'an, China
- Xiang Zhang 0019 — University of Utah, Department of Electrical and Computer Engineering, Salt Lake City, UT, USA
- Xiang Zhang 0020 — University of California Berkeley, Department of Mechanical Engineering, CA, USA
- Xiang Zhang 0021 — LASAC, Land Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing, China (and 1 more)
- Xiang Zhang 0022 — Wuhan University, School of Electronic Information, China
- Xiang Zhang 0023 — Hunan University, College of Computer Science and Electronic Engineering, Changsha, China
- Xiang Zhang 0024 — Beijing University of Posts and Telecommunications, China Academy of Information and Communications Technology, Beijing, China
Other persons with a similar name
- Aoxiang Zhang (aka: Ao-Xiang Zhang)
- Chunxiang Zhang (aka: Chun-Xiang Zhang) — disambiguation page
- Huaxiang Zhang (aka: Hua-Xiang Zhang, Hua Xiang Zhang) — disambiguation page
- Shaoxiang Zhang (aka: Shao-Xiang Zhang)
- Su-Xiang Zhang
- Xiang-Sun Zhang
- Yuan-Xiang Zhang
- Yuxiang Zhang (aka: Yu-xiang Zhang, Yu-Xiang Zhang) — disambiguation page
- Zhaoxiang Zhang (aka: Zhao-Xiang Zhang) — disambiguation page
- Zhaoxiang Zhang 0001 (aka: Zhao-Xiang Zhang 0001) — Chinese Academy of Sciences, Institute of Automation, Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Beijing, China (and 4 more)
- show all similar names
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2020 – today
- 2025
[j15]Xiaofeng Liu, Zhihong Liu, Jie Li, Xiang Zhang:
Semi-Supervised Contrastive Learning for Time Series Classification in Healthcare. IEEE Trans. Emerg. Top. Comput. Intell. 9(1): 318-331 (2025)- 2024
- [j14]Yingjian Song, Zaid Farooq Pitafi, Fei Dou, Jin Sun, Xiang Zhang, Bradley G. Phillips, Wen-Zhan Song:
Self-Supervised Representation Learning and Temporal-Spectral Feature Fusion for Bed Occupancy Detection. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(3): 124:1-124:25 (2024) - [j13]Aniqa Arif, Yihe Wang, Rui Yin, Xiang Zhang, Ahmed Helmy:
EF-Net: Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN. Sensors 24(6): 1889 (2024) - [c23]Chenrui Wu, Haishuai Wang, Xiang Zhang, Zhen Fang, Jiajun Bu:
Spatio-temporal Heterogeneous Federated Learning for Time Series Classification with Multi-view Orthogonal Training. ACM Multimedia 2024: 2613-2622 - [c22]Yihe Wang, Nan Huang, Taida Li, Yujun Yan, Xiang Zhang:
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification. NeurIPS 2024 - [i30]Ziyu Liu, Azadeh Alavi, Minyi Li, Xiang Zhang:
Self-Supervised Learning for Time Series: Contrastive or Generative? CoRR abs/2403.09809 (2024) - [i29]Yihe Wang, Nan Huang, Taida Li, Yujun Yan, Xiang Zhang:
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification. CoRR abs/2405.19363 (2024) - [i28]Ziyu Liu, Azadeh Alavi, Minyi Li, Xiang Zhang:
Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification. CoRR abs/2407.09336 (2024) - [i27]Yihe Wang, Taida Li, Yujun Yan, Wenzhan Song, Xiang Zhang:
How to evaluate your medical time series classification? CoRR abs/2410.03057 (2024) - [i26]Nan Huang, Haishuai Wang, Zihuai He, Marinka Zitnik, Xiang Zhang:
Repurposing Foundation Model for Generalizable Medical Time Series Classification. CoRR abs/2410.03794 (2024) - 2023
- [j12]Jun Wen, Xiang Zhang, Everett Neil Rush, Vidul Ayakulangara Panickan, Xingyu Li, Tianrun Cai, Doudou Zhou, Yuk-Lam Ho, Lauren Costa, Edmon Begoli, Chuan Hong, J. Michael Gaziano, Kelly Cho, Junwei Lu, Katherine P. Liao, Marinka Zitnik, Tianxi Cai:
Multimodal representation learning for predicting molecule-disease relations. Bioinform. 39(2) (2023) - [j11]Ziyu Liu, Azadeh Alavi, Minyi Li, Xiang Zhang:
Self-Supervised Contrastive Learning for Medical Time Series: A Systematic Review. Sensors 23(9): 4221 (2023) - [c21]Zhihong Liu, Xiaofeng Liu, Xiang Zhang, Jie Li:
Contrastive Learning-Based Time Series Classification in Healthcare. ISAIMS 2023: 728-733 - [c20]Gaotang Li, Marlena Duda, Xiang Zhang, Danai Koutra, Yujun Yan:
Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks. KDD 2023: 1223-1234 - [c19]Yihe Wang, Yu Han, Haishuai Wang, Xiang Zhang:
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series. NeurIPS 2023 - [i25]Gaotang Li, Marlena Duda, Xiang Zhang, Danai Koutra, Yujun Yan:
Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks. CoRR abs/2306.14375 (2023) - [i24]Huili Cai, Xiang Zhang, Xiaofeng Liu:
Semi-Supervised End-To-End Contrastive Learning For Time Series Classification. CoRR abs/2310.08848 (2023) - [i23]Yihe Wang, Yu Han, Haishuai Wang, Xiang Zhang:
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series. CoRR abs/2310.14017 (2023) - 2022
- [c18]Yihe Wang, Mohammad Mahdi Khalili, Xiang Zhang:
Towards Fair Representation Learning in Knowledge Graph with Stable Adversarial Debiasing. ICDM (Workshops) 2022: 901-909 - [c17]Xiang Zhang, Marko Zeman, Theodoros Tsiligkaridis, Marinka Zitnik:
Graph-Guided Network for Irregularly Sampled Multivariate Time Series. ICLR 2022 - [c16]Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis, Marinka Zitnik:
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency. NeurIPS 2022 - [i22]Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis, Marinka Zitnik:
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency. CoRR abs/2206.08496 (2022) - 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) - [j9]Xiang Zhang, Marissa Sumathipala, Marinka Zitnik:
Population-scale identification of differential adverse events before and during a pandemic. Nat. Comput. Sci. 1(10): 666-677 (2021) - [c15]Ziyu Liu, Xiang Zhang:
ECG-Based Heart Arrhythmia Diagnosis Through Attentional Convolutional Neural Networks. IoTaIS 2021: 156-162 - [i21]Ziyu Liu, Xiang Zhang:
ECG-Based Heart Arrhythmia Diagnosis Through Attentional Convolutional Neural Networks. CoRR abs/2108.10226 (2021) - [i20]Xiang Zhang, Marko Zeman, Theodoros Tsiligkaridis, Marinka Zitnik:
Graph-Guided Network for Irregularly Sampled Multivariate Time Series. CoRR abs/2110.05357 (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 - [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) - [c14]Xiang Zhang, Marinka Zitnik:
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks. NeurIPS 2020 - [i19]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) - [i18]Xiang Zhang, Marinka Zitnik:
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks. CoRR abs/2006.08149 (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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