| 2026 | AAAI | GS-Checker: Tampering Localization for 3D Gaussian Splatting. | Haoliang Han, Ziyuan Luo, Jun Qi, Anderson Rocha, Renjie Wan |
| 2025 | ECAI | FTCFormer: Fuzzy Token Clustering Transformer for Image Classification. | Muyi Bao, Changyu Zeng, Yifan Wang, Zhengni Yang, Zimu Wang, Guangliang Cheng, Jun Qi, Wei Wang |
| 2025 | ICASSP | Projection Valued-based Quantum Machine Learning Adapting to Differential Privacy Algorithm for Word-level Lipreading. | Hang Chen, Chang Wang, Jun Du, Chao-Han Huck Yang, Jun Qi |
| 2025 | INDIN | Self-Supervised Anomaly Detection for Parkinson's Disease in Free-Living Environment. | Chuxiong Huang, Xulong Wang, Xiyang Peng, Peng Yue, Jun Qi, Yun Yang, Po Yang |
| 2025 | INDIN | EEG-TBSANet: Temporal-Spectral Fusion Network for Robust Epilepsy Diagnosis from EEG. | Shenming Ji, Wei Wang, Jianjun Chen, Jun Qi |
| 2025 | INDIN | RH-GNN: Regional Heterogeneity Enabled GNN for Agricultural Fertilization Prediction. | Jiaqi Qian, Yu Zhang, Gaoshan Bi, Jun Qi, Yun Yang, Po Yang |
| 2025 | INDIN | A Multi-view Hybrid Vision Transformer for Diagnosis of Breast Cancer in Automated Breast Ultrasound. | Jingzhou Xu, Yifeng Zhang, Hui Shi, Xiang Li, Jiangang Chen, Jun Qi |
| 2025 | INDIN | Attention-Guided Time-Channel Masking for Self-Supervised Human Activity Recognition via Masked Sensor Data Reconstruction. | Long Yang, Po Yang, Xiyang Peng, Xulong Wang, Jun Qi |
| 2025 | INDIN | Integrating Large Language Models with Computer Vision for Automated Pest Management in Precision Agriculture. | Yuzhu Zheng, Zhipeng Yuan, Jun Qi, Po Yang |
| 2025 | ISCAS | Quantum Machine Learning: An Interplay Between Quantum Computing and Machine Learning. | Jun Qi, Chao-Han Huck Yang, Samuel Yen-Chi Chen, Pin-Yu Chen |
| 2024 | ICASSP | Exploiting A Quantum Multiple Kernel Learning Approach For Low-Resource Spoken Command Recognition. | Xianyan Fu, Xiao-Lei Zhang, Chao-Han Huck Yang, Jun Qi |
| 2024 | IJCNN | A multi-target multi-task approach based on correlated multiple cognitive scores for AD progression prediction. | Xuanhan Fan, Menghui Zhou, Jun Qi, Yun Yang, Po Yang |
| 2024 | INDIN | A Data-Driven Truck Dispatching Algorithm for a Sequence-Constrained Less-Than-Truckload Container Transshipment Problem. | Jiahui Gong, Jianjun Chen, Jun Qi, Haiyang Zhang |
| 2024 | ISPA | GANs-based Signal Quality Assessment for Heart Rate Estimation with Ballistocardiograph. | Ruilin Cai, Jun Qi, Jiayi Li, Jianjun Chen, Wei Wang, Haiyang Zhang |
| 2024 | ISPA | Sound-based Bee Colony State Analysis Using Compact MFCC Patterns. | Weihai Huang, Weize Yang, Zhicong Luo, Jun Qi, Tingting Zhang, Xiangzeng Kong |
| 2024 | ISPA | Depression Detection with EEG Based on Mutual Information Regularization. | Haoyu Lin, Tianyuan Ma, Chen Zhao, Jun Qi, Tingting Zhang, Xiangzeng Kong |
| 2024 | ISPA | ST-GCN: A Spatiotemporal Graph Convolution Neural Network for EEG Motor Imagery Signal Decoding. | Jingzhou Xu, Jun Qi, Junqing Zhang, Yong Yue, Tingting Zhang, Jianjun Chen |
| 2024 | ISPA | Toward Multi-Agent Coordination in IoT via Prompt Pool-based Continual Reinforcement Learning. | Chenhang Xu, Jia Wang, Xiaohui Zhu, Yong Yue, Jun Qi, Jieming Ma |
| 2023 | CIKM | IoTBDH-2023: The 5th International Workshop on Internet of Things of Big Data for Healthcare. | Jun Qi, Hongqing Yu, Po Yang, Yun Yang, Zhibo Pang |
| 2023 | ICASSP | Optimizing Quantum Federated Learning Based on Federated Quantum Natural Gradient Descent. | Jun Qi, Xiao-Lei Zhang, Javier Tejedor |
| 2023 | ICPADS | Effective Severity Assessment of Parkinson's Disease using Wearable Sensors in Free-living IoT Environment. | Ziheng Li, Yuting Zhao, Jun Qi, Xulong Wang, Yun Yang, Po Yang |
| 2023 | ICPADS | Modeling Parkinson's Disease Aided Diagnosis with Multi-Instance Learning: An Effective Approach to Mitigate Label Noise. | Zheyuan Xu, Fengtao Nan, Jun Qi, Yun Yang, Xulong Wang, Po Yang |
| 2022 | ICASSP | Exploiting Hybrid Models of Tensor-Train Networks For Spoken Command Recognition. | Jun Qi, Javier Tejedor |
| 2022 | ICASSP | Classical-To-Quantum Transfer Learning for Spoken Command Recognition Based on Quantum Neural Networks. | Jun Qi, Javier Tejedor |
| 2022 | ICASSP | When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing. | Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Yu Tsao, Pin-Yu Chen |
| 2021 | ICASSP | Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition. | Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Pin-Yu Chen, Sabato Marco Siniscalchi, Xiaoli Ma, Chin-Hui Lee |
| 2021 | INDIN | Automatic classification of EEG signals via deep learning. | Tao Wu, Xiangzeng Kong, Yiwen Wang, Xue Yang, Jingxuan Liu, Jun Qi |
| 2020 | CISS | Performance Analysis for Tensor-Train Decomposition to Deep Neural Network Based Vector-to-Vector Regression. | Jun Qi, Xiaoli Ma, Chin-Hui Lee, Jun Du, Sabato Marco Siniscalchi |
| 2020 | ICASSP | Tensor-To-Vector Regression for Multi-Channel Speech Enhancement Based on Tensor-Train Network. | Jun Qi, Hu Hu, Yannan Wang, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Chin-Hui Lee |
| 2020 | ICASSP | Submodular Rank Aggregation on Score-Based Permutations for Distributed Automatic Speech Recognition. | Jun Qi, Chao-Han Huck Yang, Javier Tejedor |
| 2020 | ICASSP | Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement. | Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Xiaoli Ma, Chin-Hui Lee |
| 2020 | ICASSP | Enhanced Adversarial Strategically-Timed Attacks Against Deep Reinforcement Learning. | Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Yi Ouyang, I-Te Danny Hung, Chin-Hui Lee, Xiaoli Ma |
| 2020 | Interspeech | Exploring Deep Hybrid Tensor-to-Vector Network Architectures for Regression Based Speech Enhancement. | Jun Qi, Hu Hu, Yannan Wang, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Chin-Hui Lee |
| 2020 | ISPA | Interoperable Multi-Modal Data Analysis Platform for Alzheimer's Disease Management. | Zhen Pang, Shuhao Zhang, Yun Yang, Jun Qi, Po Yang |
| 2020 | ISPA | Experimental Analysis of Artificial Neural Networks Performance for Accessing Physical Activity Recognition in Daily Life. | Xiyang Peng, Xiang Wang, Jun Qi, Yun Yang, Jie Li, Po Yang |
| 2020 | ISPA | A Hybrid Hierarchical Model for Accessing Physical Activity Recognition towards Free-living Environments. | Jun Qi, Hai-Ning Liang, Jianjun Chen, Xiyang Peng, Lee Newcombe, Po Yang |
| 2020 | ISPA | Visual Analysis of Biomarkers Selected via Multi-Task Learning for Modeling Alzheimer's Disease Progression. | Xulong Wang, Gaoshan Bi, Yu Zhang, Jun Qi, Yun Yang, Po Yang |
| 2020 | IWCMC | Self-Service Analysis Tools Based on Open Sharing. | Ran Ran, Dapeng Zhou, Jue Bo, Pan Hu, Jun Qi, Qiang Gao, Junwei Sun |
| 2019 | ICNC | Research on Wine Analysis Based on Data Preprocessing. | Xinfei Meng, Xiaolan Zhu, Shenghao Yang, Lu Wang, Jun Qi, Pei Yang |
| 2019 | INDIN | A Survey of Disease Progression Modeling Techniques for Alzheimer's Diseases. | Xulong Wang, Jun Qi, Yun Yang, Po Yang |
| 2018 | HPCC | Experimental Analysis of Cost-Effective Mobile Sensing Technologies for Activity Analytics in Elderly Care. | Lee Newcombe, Po Yang, Chris Carter, Martin Hanneghan, Jun Qi |
| 2018 | ICASSP | Distributed Submodular Maximization for Large Vocabulary Continuous Speech Recognition. | Jun Qi, Xu Liu, Shunsuke Kamijo, Javier Tejedor |
| 2016 | DICTA | Foreign Object Debris Detection on Airfield Pavement Using Region Based Convolution Neural Network. | Xiaoguang Cao, Guoping Gong, Miaoming Liu, Jun Qi |
| 2016 | ICASSP | Deep multi-view representation learning for multi-modal features of the schizophrenia and schizo-affective disorder. | Jun Qi, Javier Tejedor |
| 2016 | ICASSP | Robust submodular data partitioning for distributed speech recognition. | Jun Qi, Javier Tejedor |
| 2015 | UIC | Towards Knowledge Driven Decision Support for Personalized Home-Based Self-Management of Chronic Diseases. | Jun Qi, Liming Chen, Wolfgang Leister, Shengxiang Yang |
| 2013 | Interspeech | Subspace models for bottleneck features. | Jun Qi, Dong Wang, Javier Tejedor |
| 2013 | Interspeech | Bottleneck features based on gammatone frequency cepstral coefficients. | Jun Qi, Dong Wang, Ji Xu, Javier Tejedor |
| 2013 | ISCAS | Auditory features based on Gammatone filters for robust speech recognition. | Jun Qi, Dong Wang, Yi Jiang, Runsheng Liu |