Xiang Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 50

Top Venues

University of New South Wales, Sydney, Australia (PHD)

Education History

University of New South Wales, Sydney, Australia

PHD

Publications

Yihe Wang, Nan Huang, Taida Li, Yujun Yan, Xiang Zhang
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification. CoRR (2024)
Ziyu Liu, Azadeh Alavi, Minyi Li, Xiang Zhang
Self-Supervised Learning for Time Series: Contrastive or Generative? CoRR (2024)
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) (2024)
Zhihong Liu, Xiaofeng Liu, Xiang Zhang, Jie Li
Contrastive Learning-Based Time Series Classification in Healthcare. ISAIMS (2023)
Ziyu Liu, Azadeh Alavi, Minyi Li, Xiang Zhang
Self-Supervised Contrastive Learning for Medical Time Series: A Systematic Review. Sensors 23 (9) (2023)
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 (2023)
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)
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)
Xiang Zhang, Marissa Sumathipala, Marinka Zitnik
Population-scale identification of differential adverse events before and during a pandemic. Nat. Comput. Sci. 1 (10) (2021)
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 (2021)
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 (2020)
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) (2020)
Lijian Xin, Yong Li, Shitong Zhe, Xiang Zhang
On Over-the-Air Testing for Devices With Directional Antennas. IEEE Access 8 (2020)
Weitao Xu, Xiang Zhang, Lina Yao, Wanli Xue, Bo Wei
A Multi-view CNN-based Acoustic Classification System for Automatic Animal Species Identification. CoRR (2020)
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) (2020)
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) (2020)
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 (2020)
Xiaocong Chen, Chaoran Huang, Xiang Zhang, Xianzhi Wang, Wei Liu, Lina Yao
Expert2Vec: Distributed Expert Representation Learning in Question Answering Community. ADMA (2019)
Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, Manqing Dong
Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning. CoRR (2019)
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) (2019)
Xiang Zhang, Lina Yao, Feng Yuan
Adversarial Variational Embedding for Robust Semi-supervised Learning. KDD (2019)
Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, Manqing Dong
Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning. ICONIP (4) (2019)
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) (2019)
Xiang Zhang, Lina Yao, Feng Yuan
Adversarial Variational Embedding for Robust Semi-supervised Learning. CoRR (2019)
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 (2019)
Xiang Zhang, Lina Yao, Manqing Dong, Zhe Liu, Yu Zhang, Yong Li
Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection. CoRR (2019)
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)
Xiang Zhang, Lina Yao, Xianzhi Wang, Wenjie Zhang, Shuai Zhang, Yunhao Liu
Know Your Mind: Adaptive Cognitive Activity Recognition with Reinforced CNN. ICDM (2019)
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 (2019)
Xiang Zhang
Context-aware Human Intent Inference for Improving Human Machine Cooperation. PerCom Workshops (2018)
Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang
Multi-modality Sensor Data Classification with Selective Attention. IJCAI (2018)
Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang
Multi-modality Sensor Data Classification with Selective Attention. CoRR (2018)
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)
Xiang Zhang, Lina Yao, Chaoran Huang, Salil S. Kanhere, Dalin Zhang
Brain2Object: Printing Your Mind from Brain Signals with Spatial Correlation Embedding. CoRR (2018)
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)
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 (2018)
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) (2018)
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 (2018)
Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Xiang Zhang
Data-Augmented Regression with Generative Convolutional Network. WISE (2) (2018)
Xiang Zhang
Context-aware Human Intent Inference for Improving Human Machine Cooperation. CoRR (2018)
Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Xiang Zhang
Software Expert Discovery via Knowledge Domain Embeddings in a Collaborative Network. CoRR (2018)
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)
Xiang Zhang, Lina Yao, Dalin Zhang, Xianzhi Wang, Quan Z. Sheng, Tao Gu
Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis. CoRR (2017)
Xiang Zhang, Lina Yao, Chaoran Huang, Quan Z. Sheng, Xianzhi Wang
Intent Recognition in Smart Living Through Deep Recurrent Neural Networks. ICONIP (2) (2017)
Xiang Zhang, Lina Yao, Kaixuan Chen, Xianzhi Wang, Quan Z. Sheng, Tao Gu
DeepKey: An EEG and Gait Based Dual-Authentication System. CoRR (2017)
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)
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 (2017)
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 (2017)
Xiang Zhang, Lina Yao, Chaoran Huang, Quan Z. Sheng, Xianzhi Wang
Enhancing Mind Controlled Smart Living Through Recurrent Neural Networks. CoRR (2017)
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 (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xiang Zhang