Xiang Zhang

88 papers A* 13A 1B 3C 2Journal 59Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
HarmonyCell: Automating Single-Cell Perturbation Modeling under Semantic and Distribution Shifts.
CoRR
Wenxuan Huang, Mingyu Tsoi, Yanhao Huang, Xinjie Mao, Xue Xia, Hao Wu, Jiaqi Wei, Yuejin Yang, Lang Yu, Cheng Tan, Xiang Zhang, Zhangyang Gao, Siqi Sun
2025 J jnl
A Unified Contrastive-Generative Framework for Time Series Classification.
CoRR
Ziyu Liu, Azadeh Alavi, Minyi Li, Xiang Zhang
2025 J jnl
Accurate de novo sequencing of the modified proteome with OmniNovo.
CoRR
Yuhan Chen, Shang Qu, Zhiqiang Gao, Yuejin Yang, Xiang Zhang, Sheng Xu, Xinjie Mao, Liujia Qian, Jiaqi Wei, Zijie Qiu, Chenyu You, Lei Bai, Ning Ding, Tiannan Guo, Bowen Zhou, Siqi Sun
2025 B conf
Blood Pressure Estimation from Vibration Signals via Coarse-to-Fine Contrastive Learning, Feature Selection and Synthesis.
CHASE
Yida Zhang, Jiayu Chen, Yingjian Song, Zixuan Zeng, Xiang Zhang, Qin Lu, Bradley G. Phillips, Zaipeng Xie, Wenzhan Song
2025 J jnl
Bootstrapping BI-RADS classification using large language models and transformers in breast magnetic resonance imaging reports.
Vis. Comput. Ind. Biomed. Art
Yuxin Liu, Xiang Zhang, Weiwei Cao, Wenju Cui, Tao Tan, Yuqin Peng, Jiayi Huang, Zhen Lei, Jun Shen, Jian Zheng
2025 B conf
Comparative Analysis of Foundation Models for EEG-Based Alzheimer's Disease Detection.
IJCNN
Nan Huang, Alexandros Tzallas, Zihuai He, Xiang Zhang
2025 A* conf
Efficient Personalized Adaptation for Physiological Signal Foundation Model.
ICML
Chenrui Wu, Haishuai Wang, Xiang Zhang, Chengqi Zhang, Jiajun Bu
2025 J jnl
From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery.
CoRR
Jiaqi Wei, Yuejin Yang, Xiang Zhang, Yuhan Chen, Xiang Zhuang, Zhangyang Gao, Dongzhan Zhou, Guangshuai Wang, Zhiqiang Gao, Juntai Cao, Zijie Qiu, Xuming He, Qiang Zhang, Chenyu You, Shuangjia Zheng, Ning Ding, Wanli Ouyang, Nanqing Dong, Yu Cheng, Siqi Sun, Lei Bai, Bowen Zhou
2025 J jnl
LEAD: Large Foundation Model for EEG-Based Alzheimer's Disease Detection.
CoRR
Yihe Wang, Nan Huang, Nadia Mammone, Marco Cecchi, Xiang Zhang
2025 J jnl
Multi-granularity Supervised Contrastive Learning with Online Adaptation for Contactless In-bed Posture Classification.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Yingjian Song, Haotian Xiang, Zixuan Zeng, Jiayu Chen, Yida Zhang, Zaid Farooq Pitafi, He Yang, Qin Lu, Xiang Zhang, Bradley G. Phillips, Fei Dou, Wenzhan Song
2025 J jnl
Seeing Through the Brain: New Insights from Decoding Visual Stimuli with fMRI.
CoRR
Zheng Huang, Enpei Zhang, Yinghao Cai, Weikang Qiu, Carl Yang, Elynn Chen, Xiang Zhang, Rex Ying, Dawei Zhou, Yujun Yan
2025 J jnl
SelfDenoiser: Self-supervised Seismic Signal Denoiser for Continuous and Contactless Cardiac Monitoring.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Jiayu Chen, Yingjian Song, Yida Zhang, Zixuan Zeng, Xiang Zhang, Zaid Farooq Pitafi, Zaipeng Xie, Deepak Kumar Das, Nishan Dong, Junjie Lu, Xiao Yin, Wen-Zhan Song
2025 J jnl
Semi-Supervised Contrastive Learning for Time Series Classification in Healthcare.
IEEE Trans. Emerg. Top. Comput. Intell.
Xiaofeng Liu, Zhihong Liu, Jie Li, Xiang Zhang
2025 J jnl
Stock price nowcasting and forecasting with deep learning.
J. Intell. Inf. Syst.
Chuanzhi Fan, Xiang Zhang
2024 J jnl
ADformer: A Multi-Granularity Transformer for EEG-Based Alzheimer's Disease Assessment.
CoRR
Yihe Wang, Nadia Mammone, Darina Petrovsky, Alexandros T. Tzallas, Francesco Carlo Morabito, Xiang Zhang
2024 — conf
Comparative Analysis of Channel Selection Methods for EEG-Based Emotion Recognition: Balancing Accuracy and Efficiency.
BI (2)
Xintong Li, Xiaofeng Liu, Xu Zhou, Xiang Zhang, Xiaoqin Zhou
2024 J jnl
EF-Net: Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN.
Sensors
Aniqa Arif, Yihe Wang, Rui Yin, Xiang Zhang, Ahmed Helmy
2024 J jnl
Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification.
CoRR
Ziyu Liu, Azadeh Alavi, Minyi Li, Xiang Zhang
2024 J jnl
How to evaluate your medical time series classification?
CoRR
Yihe Wang, Taida Li, Yujun Yan, Wenzhan Song, Xiang Zhang
2024 A* conf
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification.
NeurIPS
Yihe Wang, Nan Huang, Taida Li, Yujun Yan, Xiang Zhang
2024 J jnl
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification.
CoRR
Yihe Wang, Nan Huang, Taida Li, Yujun Yan, Xiang Zhang
2024 J jnl
Repurposing Foundation Model for Generalizable Medical Time Series Classification.
CoRR
Nan Huang, Haishuai Wang, Zihuai He, Marinka Zitnik, Xiang Zhang
2024 J jnl
Self-Supervised Learning for Time Series: Contrastive or Generative?
CoRR
Ziyu Liu, Azadeh Alavi, Minyi Li, Xiang Zhang
2024 J jnl
Self-Supervised Representation Learning and Temporal-Spectral Feature Fusion for Bed Occupancy Detection.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Yingjian Song, Zaid Farooq Pitafi, Fei Dou, Jin Sun, Xiang Zhang, Bradley G. Phillips, Wen-Zhan Song
2024 A* conf
Spatio-temporal Heterogeneous Federated Learning for Time Series Classification with Multi-view Orthogonal Training.
ACM Multimedia
Chenrui Wu, Haishuai Wang, Xiang Zhang, Zhen Fang, Jiajun Bu
2024 J jnl
UnitNorm: Rethinking Normalization for Transformers in Time Series.
CoRR
Nan Huang, Christian Kümmerle, Xiang Zhang
2023 A* conf
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series.
NeurIPS
Yihe Wang, Yu Han, Haishuai Wang, Xiang Zhang
2023 J jnl
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series.
CoRR
Yihe Wang, Yu Han, Haishuai Wang, Xiang Zhang
2023 — conf
Contrastive Learning-Based Time Series Classification in Healthcare.
ISAIMS
Zhihong Liu, Xiaofeng Liu, Xiang Zhang, Jie Li
2023 A* conf
Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks.
KDD
Gaotang Li, Marlena Duda, Xiang Zhang, Danai Koutra, Yujun Yan
2023 J jnl
Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks.
CoRR
Gaotang Li, Marlena Duda, Xiang Zhang, Danai Koutra, Yujun Yan
2023 J jnl
Multimodal representation learning for predicting molecule-disease relations.
Bioinform.
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, John Michael Gaziano, Kelly Cho, Junwei Lu, Katherine P. Liao, Marinka Zitnik, Tianxi Cai
2023 J jnl
Self-Supervised Contrastive Learning for Medical Time Series: A Systematic Review.
Sensors
Ziyu Liu, Azadeh Alavi, Minyi Li, Xiang Zhang
2023 J jnl
Semi-Supervised End-To-End Contrastive Learning For Time Series Classification.
CoRR
Huili Cai, Xiang Zhang, Xiaofeng Liu
2022 J jnl
A coarse-refine segmentation network for COVID-19 CT images.
IET Image Process.
Ziwang Huang, Liang Li, Xiang Zhang, Ying Song, Jianwen Chen, Huiying Zhao, Yutian Chong, Hejun Wu, Yuedong Yang, Jun Shen, Yunfei Zha
2022 A* conf
Graph-Guided Network for Irregularly Sampled Multivariate Time Series.
ICLR
Xiang Zhang, Marko Zeman, Theodoros Tsiligkaridis, Marinka Zitnik
2022 A* conf
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency.
NeurIPS
Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis, Marinka Zitnik
2022 J jnl
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency.
CoRR
Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis, Marinka Zitnik
2022 — conf
Towards Fair Representation Learning in Knowledge Graph with Stable Adversarial Debiasing.
ICDM (Workshops)
Yihe Wang, Mohammad Mahdi Khalili, Xiang Zhang
2021 J jnl
Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ying Song, Shuangjia Zheng, Liang Li, Xiang Zhang, Xiaodong Zhang, Ziwang Huang, Jianwen Chen, Ruixuan Wang, Huiying Zhao, Yutian Chong, Jun Shen, Yunfei Zha, Yuedong Yang
2021 — book
Deep Learning for EEG-Based Brain-Computer Interfaces - Representations, Algorithms and Applications
Deep Learning for EEG-Based Brain-Computer Interfaces
Xiang Zhang, Lina Yao
2021 J jnl
Deep spatial-temporal sequence modeling for multi-step passenger demand prediction.
Future Gener. Comput. Syst.
Lei Bai, Lina Yao, Xianzhi Wang, Can Li, Xiang Zhang
2021 — conf
ECG-Based Heart Arrhythmia Diagnosis Through Attentional Convolutional Neural Networks.
IoTaIS
Ziyu Liu, Xiang Zhang
2021 J jnl
ECG-Based Heart Arrhythmia Diagnosis Through Attentional Convolutional Neural Networks.
CoRR
Ziyu Liu, Xiang Zhang
2021 J jnl
Graph-Guided Network for Irregularly Sampled Multivariate Time Series.
CoRR
Xiang Zhang, Marko Zeman, Theodoros Tsiligkaridis, Marinka Zitnik
2021 J jnl
Population-scale identification of differential adverse events before and during a pandemic.
Nat. Comput. Sci.
Xiang Zhang, Marissa Sumathipala, Marinka Zitnik
2020 J jnl
A Multi-view CNN-based Acoustic Classification System for Automatic Animal Species Identification.
CoRR
Weitao Xu, Xiang Zhang, Lina Yao, Wanli Xue, Bo Wei
2020 J jnl
A multi-view CNN-based acoustic classification system for automatic animal species identification.
Ad Hoc Networks
Weitao Xu, Xiang Zhang, Lina Yao, Wanli Xue, Bo Wei
2020 J jnl
Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection.
IEEE J. Biomed. Health Informatics
Xiang Zhang, Lina Yao, Manqing Dong, Zhe Liu, Yu Zhang, Yong Li
2020 — —
Data-Efficient Deep Representation Learning for Brain-Computer Interface and Its Applications.
Xiang Zhang
2020 J jnl
DeepKey: A Multimodal Biometric Authentication System via Deep Decoding Gaits and Brainwaves.
ACM Trans. Intell. Syst. Technol.
Xiang Zhang, Lina Yao, Chaoran Huang, Tao Gu, Zheng Yang, Yunhao Liu
2020 A* conf
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks.
NeurIPS
Xiang Zhang, Marinka Zitnik
2020 J jnl
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks.
CoRR
Xiang Zhang, Marinka Zitnik
2020 J jnl
Software expert discovery via knowledge domain embeddings in a collaborative network.
Pattern Recognit. Lett.
Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Xiang Zhang
2020 J jnl
Unraveling Metric Vector Spaces With Factorization for Recommendation.
IEEE Trans. Ind. Informatics
Shuai Zhang, Lina Yao, Bin Wu, Xiwei Xu, Xiang Zhang, Liming Zhu
2019 J jnl
A Survey on Deep Learning based Brain Computer Interface: Recent Advances and New Frontiers.
CoRR
Xiang Zhang, Lina Yao, Xianzhi Wang, Jessica Monaghan, David McAlpine
2019 J jnl
Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection.
CoRR
Xiang Zhang, Lina Yao, Manqing Dong, Zhe Liu, Yu Zhang, Yong Li
2019 A* conf
Adversarial Variational Embedding for Robust Semi-supervised Learning.
KDD
Xiang Zhang, Lina Yao, Feng Yuan
2019 J jnl
Adversarial Variational Embedding for Robust Semi-supervised Learning.
CoRR
Xiang Zhang, Lina Yao, Feng Yuan
2019 — conf
Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning.
ICONIP (4)
Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, Manqing Dong
2019 J jnl
Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning.
CoRR
Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, Manqing Dong
2019 B conf
Dual-stream Self-Attentive Random Forest for False Information Detection.
IJCNN
Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Xiang Zhang, Quan Z. Sheng
2019 C conf
Expert2Vec: Distributed Expert Representation Learning in Question Answering Community.
ADMA
Xiaocong Chen, Chaoran Huang, Xiang Zhang, Xianzhi Wang, Wei Liu, Lina Yao
2019 J jnl
Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity.
IEEE Internet Things J.
Xiang Zhang, Lina Yao, Shuai Zhang, Salil S. Kanhere, Michael Sheng, Yunhao Liu
2019 A* conf
Know Your Mind: Adaptive Cognitive Activity Recognition with Reinforced CNN.
ICDM
Xiang Zhang, Lina Yao, Xianzhi Wang, Wenjie Zhang, Shuai Zhang, Yunhao Liu
2019 J jnl
Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals.
Aust. J. Intell. Inf. Process. Syst.
Xiang Zhang, Xiaocong Chen, Manqing Dong, Huan Liu, Chang Ge, Lina Yao
2019 J jnl
Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals.
CoRR
Xiang Zhang, Xiaocong Chen, Manqing Dong, Huan Liu, Chang Ge, Lina Yao
2018 J jnl
Brain2Object: Printing Your Mind from Brain Signals with Spatial Correlation Embedding.
CoRR
Xiang Zhang, Lina Yao, Chaoran Huang, Salil S. Kanhere, Dalin Zhang
2018 A* conf
Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface.
AAAI
Dalin Zhang, Lina Yao, Xiang Zhang, Sen Wang, Weitong Chen, Robert Boots, Boualem Benatallah
2018 — conf
Context-aware Human Intent Inference for Improving Human Machine Cooperation.
PerCom Workshops
Xiang Zhang
2018 J jnl
Context-aware Human Intent Inference for Improving Human Machine Cooperation.
CoRR
Xiang Zhang
2018 A* conf
Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals.
PerCom
Xiang Zhang, Lina Yao, Quan Z. Sheng, Salil S. Kanhere, Tao Gu, Dalin Zhang
2018 — conf
Data-Augmented Regression with Generative Convolutional Network.
WISE (2)
Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Xiang Zhang
2018 A conf
EEG-based Motion Intention Recognition via Multi-task RNNs.
SDM
Weitong Chen, Sen Wang, Xiang Zhang, Lina Yao, Lin Yue, Buyue Qian, Xue Li
2018 J jnl
Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity.
CoRR
Xiang Zhang, Lina Yao, Shuai Zhang, Salil S. Kanhere, Quan Z. Sheng, Yunhao Liu
2018 J jnl
Know Your Mind: Adaptive Brain Signal Classification with Reinforced Attentive Convolutional Neural Networks.
CoRR
Xiang Zhang, Lina Yao, Xianzhi Wang, Wenjie Zhang, Zheng Yang, Yunhao Liu
2018 J jnl
MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Xiang Zhang, Lina Yao, Salil S. Kanhere, Yunhao Liu, Tao Gu, Kaixuan Chen
2018 A* conf
Multi-modality Sensor Data Classification with Selective Attention.
IJCAI
Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang
2018 J jnl
Multi-modality Sensor Data Classification with Selective Attention.
CoRR
Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang
2018 J jnl
Software Expert Discovery via Knowledge Domain Embeddings in a Collaborative Network.
CoRR
Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Xiang Zhang
2017 J jnl
Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals.
CoRR
Xiang Zhang, Lina Yao, Quan Z. Sheng, Salil S. Kanhere, Tao Gu, Dalin Zhang
2017 J jnl
DeepKey: An EEG and Gait Based Dual-Authentication System.
CoRR
Xiang Zhang, Lina Yao, Kaixuan Chen, Xianzhi Wang, Quan Z. Sheng, Tao Gu
2017 J jnl
EEG-based Intention Recognition from Spatio-Temporal Representations via Cascade and Parallel Convolutional Recurrent Neural Networks.
CoRR
Dalin Zhang, Lina Yao, Xiang Zhang, Sen Wang, Weitong Chen, Robert Boots
2017 J jnl
Enhancing Mind Controlled Smart Living Through Recurrent Neural Networks.
CoRR
Xiang Zhang, Lina Yao, Chaoran Huang, Quan Z. Sheng, Xianzhi Wang
2017 — conf
Intent Recognition in Smart Living Through Deep Recurrent Neural Networks.
ICONIP (2)
Xiang Zhang, Lina Yao, Chaoran Huang, Quan Z. Sheng, Xianzhi Wang
2017 J jnl
MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network.
CoRR
Xiang Zhang, Lina Yao, Salil S. Kanhere, Yunhao Liu, Tao Gu, Kaixuan Chen
2017 C conf
Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis.
MobiQuitous
Xiang Zhang, Lina Yao, Dalin Zhang, Xianzhi Wang, Quan Z. Sheng, Tao Gu
2017 J jnl
Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis.
CoRR
Xiang Zhang, Lina Yao, Dalin Zhang, Xianzhi Wang, Quan Z. Sheng, Tao Gu