Intent Recognition in Smart Living Through Deep Recurrent Neural Networks. - Xiang Zhang 012; Lina Yao 001; Chaoran Huang 001; Quan Z. Sheng; Xianzhi Wang 001 (ICONIP (2), 2017)

Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis. - Xiang Zhang 012; Lina Yao 001; Dalin Zhang 001; Xianzhi Wang 001; Quan Z. Sheng; Tao Gu 001 (MobiQuitous, 2017)

DeepKey: An EEG and Gait Based Dual-Authentication System. - Xiang Zhang 012; Lina Yao 001; Kaixuan Chen 001; Xianzhi Wang 001; Quan Z. Sheng; Tao Gu 001 (CoRR, 2017)

Enhancing Mind Controlled Smart Living Through Recurrent Neural Networks. - Xiang Zhang 012; Lina Yao 001; Chaoran Huang 001; Quan Z. Sheng; Xianzhi Wang 001 (CoRR, 2017)

EEG-based Intention Recognition from Spatio-Temporal Representations via Cascade and Parallel Convolutional Recurrent Neural Networks. - Dalin Zhang 001; Lina Yao 001; Xiang Zhang 012; Sen Wang 001; Weitong Chen 001; Robert Boots (CoRR, 2017)

Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface. - Dalin Zhang 001; Lina Yao 001; Xiang Zhang 012; Sen Wang 001; Weitong Chen 001; Robert Boots; Boualem Benatallah (AAAI, 2018)

Multi-modality Sensor Data Classification with Selective Attention. - Xiang Zhang 012; Lina Yao 001; Chaoran Huang 001; Sen Wang 001; Mingkui Tan; Guodong Long; Can Wang 004 (IJCAI, 2018)

Context-aware Human Intent Inference for Improving Human Machine Cooperation. - Xiang Zhang 012 (PerCom Workshops, 2018)

Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals. - Xiang Zhang 012; Lina Yao 001; Quan Z. Sheng; Salil S. Kanhere; Tao Gu 001; Dalin Zhang 001 (PerCom, 2018)

EEG-based Motion Intention Recognition via Multi-task RNNs. - Weitong Chen 001; Sen Wang 001; Xiang Zhang 012; Lina Yao 001; Lin Yue; Buyue Qian; Xue Li 001 (SDM, 2018)

Data-Augmented Regression with Generative Convolutional Network. - Xiaodong Ning; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Shuai Zhang 007; Xiang Zhang 012 (WISE (2), 2018)

Know Your Mind: Adaptive Brain Signal Classification with Reinforced Attentive Convolutional Neural Networks. - Xiang Zhang 012; Lina Yao 001; Xianzhi Wang 001; Wenjie Zhang 001; Zheng Yang 002; Yunhao Liu 001 (CoRR, 2018)

Brain2Object: Printing Your Mind from Brain Signals with Spatial Correlation Embedding. - Xiang Zhang 012; Lina Yao 001; Chaoran Huang 001; Salil S. Kanhere; Dalin Zhang 001 (CoRR, 2018)

MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network. - Xiang Zhang 012; Lina Yao 001; Salil S. Kanhere; Yunhao Liu 001; Tao Gu 001; Kaixuan Chen 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

Expert2Vec: Distributed Expert Representation Learning in Question Answering Community. - Xiaocong Chen; Chaoran Huang 001; Xiang Zhang 012; Xianzhi Wang 001; Wei Liu 101; Lina Yao 001 (ADMA, 2019)

Know Your Mind: Adaptive Cognitive Activity Recognition with Reinforced CNN. - Xiang Zhang 012; Lina Yao 001; Xianzhi Wang 001; Wenjie Zhang 001; Shuai Zhang 007; Yunhao Liu 001 (ICDM, 2019)

Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning. - Xiang Zhang 012; Xiaocong Chen; Lina Yao 001; Chang Ge 004; Manqing Dong (ICONIP (4), 2019)

Dual-stream Self-Attentive Random Forest for False Information Detection. - Manqing Dong; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Xiang Zhang 012; Quan Z. Sheng (IJCNN, 2019)

Adversarial Variational Embedding for Robust Semi-supervised Learning. - Xiang Zhang 012; Lina Yao 001; Feng Yuan (KDD, 2019)

Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals. - Xiang Zhang 012; Xiaocong Chen; Manqing Dong; Huan Liu 012; Chang Ge 004; Lina Yao 001 (Aust. J. Intell. Inf. Process. Syst., 2019)

A Survey on Deep Learning based Brain Computer Interface: Recent Advances and New Frontiers. - Xiang Zhang 012; Lina Yao 001; Xianzhi Wang 001; Jessica Monaghan; David McAlpine (CoRR, 2019)

Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity. - Xiang Zhang 012; Lina Yao 001; Shuai Zhang 007; Salil S. Kanhere; Michael Sheng 001; Yunhao Liu 001 (IEEE Internet Things J., 2019)

GNNGuard: Defending Graph Neural Networks against Adversarial Attacks. - Xiang Zhang 012; Marinka Zitnik (NeurIPS, 2020)

A multi-view CNN-based acoustic classification system for automatic animal species identification. - Weitao Xu; Xiang Zhang 012; Lina Yao 001; Wanli Xue; Bo Wei 003 (Ad Hoc Networks, 2020)

Software expert discovery via knowledge domain embeddings in a collaborative network. - Chaoran Huang 001; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Xiang Zhang 012 (Pattern Recognit. Lett., 2020)

Unraveling Metric Vector Spaces With Factorization for Recommendation. - Shuai Zhang 007; Lina Yao 001; Bin Wu 019; Xiwei Xu 001; Xiang Zhang 012; Liming Zhu 001 (IEEE Trans. Ind. Informatics, 2020)

DeepKey: A Multimodal Biometric Authentication System via Deep Decoding Gaits and Brainwaves. - Xiang Zhang 012; Lina Yao 001; Chaoran Huang 001; Tao Gu 001; Zheng Yang 002; Yunhao Liu 001 (ACM Trans. Intell. Syst. Technol., 2020)

Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection. - Xiang Zhang 012; Lina Yao 001; Manqing Dong; Zhe Liu 023; Yu Zhang 083; Yong Li 008 (IEEE J. Biomed. Health Informatics, 2020)

Data-Efficient Deep Representation Learning for Brain-Computer Interface and Its Applications. - Xiang Zhang 012 (2020)

Deep Learning for EEG-Based Brain-Computer Interfaces - Representations, Algorithms and Applications - Xiang Zhang 012; Lina Yao 001 (Deep Learning for EEG-Based Brain-Computer Interfaces, 2021)

ECG-Based Heart Arrhythmia Diagnosis Through Attentional Convolutional Neural Networks. - Ziyu Liu; Xiang Zhang 012 (IoTaIS, 2021)

Deep spatial-temporal sequence modeling for multi-step passenger demand prediction. - Lei Bai 001; Lina Yao 001; Xianzhi Wang 001; Can Li; Xiang Zhang 012 (Future Gener. Comput. Syst., 2021)

Population-scale identification of differential adverse events before and during a pandemic. - Xiang Zhang 012; Marissa Sumathipala; Marinka Zitnik (Nat. Comput. Sci., 2021)

Towards Fair Representation Learning in Knowledge Graph with Stable Adversarial Debiasing. - Yihe Wang; Mohammad Mahdi Khalili; Xiang Zhang 012 (ICDM (Workshops), 2022)

Graph-Guided Network for Irregularly Sampled Multivariate Time Series. - Xiang Zhang 012; Marko Zeman; Theodoros Tsiligkaridis; Marinka Zitnik (ICLR, 2022)

Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency. - Xiang Zhang 012; Ziyuan Zhao; Theodoros Tsiligkaridis; Marinka Zitnik (NeurIPS, 2022)

Contrastive Learning-Based Time Series Classification in Healthcare. - Zhihong Liu; Xiaofeng Liu 006; Xiang Zhang 012; Jie Li 009 (ISAIMS, 2023)

Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks. - Gaotang Li; Marlena Duda; Xiang Zhang 012; Danai Koutra; Yujun Yan (KDD, 2023)

Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series. - Yihe Wang; Yu Han; Haishuai Wang; Xiang Zhang 012 (NeurIPS, 2023)

Semi-Supervised End-To-End Contrastive Learning For Time Series Classification. - Huili Cai; Xiang Zhang 012; Xiaofeng Liu 006 (CoRR, 2023)

Self-Supervised Contrastive Learning for Medical Time Series: A Systematic Review. - Ziyu Liu; Azadeh Alavi; Minyi Li 001; Xiang Zhang 012 (Sensors, 2023)

Multimodal representation learning for predicting molecule-disease relations. - Jun Wen; Xiang Zhang 012; Everett Neil Rush; Vidul Ayakulangara Panickan; Xingyu Li; Tianrun Cai; Doudou Zhou; Yuk-Lam Ho; Lauren Costa; Edmon Begoli; Chuan Hong; J. Michael Gaziano; et al. (Bioinform., 2023)

Comparative Analysis of Channel Selection Methods for EEG-Based Emotion Recognition: Balancing Accuracy and Efficiency. - Xintong Li; Xiaofeng Liu 006; Xu Zhou 002; Xiang Zhang 012; Xiaoqin Zhou (BI (2), 2024)

Spatio-temporal Heterogeneous Federated Learning for Time Series Classification with Multi-view Orthogonal Training. - Chenrui Wu 002; Haishuai Wang; Xiang Zhang 012; Zhen Fang 001; Jiajun Bu (ACM Multimedia, 2024)

Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification. - Yihe Wang; Nan Huang 004; Taida Li; Yujun Yan; Xiang Zhang 012 (NeurIPS, 2024)

Self-Supervised Learning for Time Series: Contrastive or Generative? - Ziyu Liu; Azadeh Alavi; Minyi Li 001; Xiang Zhang 012 (CoRR, 2024)

UnitNorm: Rethinking Normalization for Transformers in Time Series. - Nan Huang 004; Christian Kümmerle; Xiang Zhang 012 (CoRR, 2024)

Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification. - Ziyu Liu; Azadeh Alavi; Minyi Li 001; Xiang Zhang 012 (CoRR, 2024)

ADformer: A Multi-Granularity Transformer for EEG-Based Alzheimer's Disease Assessment. - Yihe Wang; Nadia Mammone; Darina Petrovsky; Alexandros T. Tzallas; Francesco Carlo Morabito; Xiang Zhang 012 (CoRR, 2024)

How to evaluate your medical time series classification? - Yihe Wang; Taida Li; Yujun Yan; Wenzhan Song 001; Xiang Zhang 012 (CoRR, 2024)

Repurposing Foundation Model for Generalizable Medical Time Series Classification. - Nan Huang 004; Haishuai Wang; Zihuai He; Marinka Zitnik; Xiang Zhang 012 (CoRR, 2024)

EF-Net: Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN. - Aniqa Arif; Yihe Wang; Rui Yin 002; Xiang Zhang 012; Ahmed Helmy (Sensors, 2024)

Self-Supervised Representation Learning and Temporal-Spectral Feature Fusion for Bed Occupancy Detection. - Yingjian Song; Zaid Farooq Pitafi; Fei Dou; Jin Sun 011; Xiang Zhang 012; Bradley G. Phillips; Wen-Zhan Song 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

LEAD: Large Foundation Model for EEG-Based Alzheimer's Disease Detection. - Yihe Wang; Nan Huang 004; Nadia Mammone; Marco Cecchi; Xiang Zhang 012 (CoRR, 2025)

Semi-Supervised Contrastive Learning for Time Series Classification in Healthcare. - Xiaofeng Liu 006; Zhihong Liu; Jie Li 009; Xiang Zhang 012 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Stock price nowcasting and forecasting with deep learning. - Chuanzhi Fan; Xiang Zhang 012 (J. Intell. Inf. Syst., 2025)

Multi-granularity Supervised Contrastive Learning with Online Adaptation for Contactless In-bed Posture Classification. - Yingjian Song; Haotian Xiang; Zixuan Zeng; Jiayu Chen; Yida Zhang; Zaid Farooq Pitafi; He Yang; Qin Lu 002; Xiang Zhang 012; Bradley G. Phillips; Fei Dou; WenZhan Song 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2025)

A Unified Contrastive-Generative Framework for Time Series Classification. - Ziyu Liu; Azadeh Alavi; Minyi Li 001; Xiang Zhang 012 (CoRR, 2025)