| 2025 | AAAI | SpikingYOLOX: Improved YOLOX Object Detection with Fast Fourier Convolution and Spiking Neural Networks. | Wei Miao, Jiangrong Shen, Qi Xu, Timo Hmlinen, Yi Xu, Fengyu Cong |
| 2025 | CBMS | Distilling Genomic Knowledge into Whole Slide Imaging for Glioma Molecular Classification. | Qiao Chen, Hongming Xu, Xinyu Hao, Qibin Zhang, Huamin Qin, Tommi Krkkinen, Fengyu Cong |
| 2025 | CVPR | ODA-GAN: Orthogonal Decoupling Alignment GAN Assisted by Weakly-supervised Learning for Virtual Immunohistochemistry Staining. | Tong Wang, Mingkang Wang, Zhongze Wang, Hongkai Wang, Qi Xu, Fengyu Cong, Hongming Xu |
| 2025 | MICCAI | Dual Selective Gleason Pattern-Aware Multiple Instance Learning for Grade Group Prediction in Histopathology Images. | Xinyu Hao, Hongming Xu, Qibin Zhang, Qi Xu, Ilkka Plnen, Fengyu Cong |
| 2025 | MICCAI | Predicting Radiation Therapy Response Based on Dynamic Temporal Feature Difference Fusion from Longitudinal MRI. | Xinyu Hao, Hongming Xu, Qibin Zhang, Qi Xu, Xiaofeng Wang, Ilkka Plnen, Fengyu Cong |
| 2025 | MICCAI | Multi-modal Knowledge Decomposition Based Online Distillation for Biomarker Prediction in Breast Cancer Histopathology. | Qibin Zhang, Xinyu Hao, Qiao Chen, Rui Xu, Fengyu Cong, Cheng Lu, Hongming Xu |
| 2024 | MICCAI | Double-Tier Attention Based Multi-label Learning Network for Predicting Biomarkers from Whole Slide Images of Breast Cancer. | Mingkang Wang, Tong Wang, Fengyu Cong, Cheng Lu, Hongming Xu |
| 2022 | IJCNN | Convolutional Neural Network Based Sleep Stage Classification with Class Imbalance. | Qi Xu, Dongdong Zhou, Jian Wang, Jiangrong Shen, Lauri Kettunen, Fengyu Cong |
| 2021 | ICASSP | Tucker Decomposition for Extracting Shared and Individual Spatial Maps from Multi-Subject Resting-State fMRI Data. | Yue Han, Qiu-Hua Lin, Li-Dan Kuang, Xiao-Feng Gong, Fengyu Cong, Vince D. Calhoun |
| 2020 | ICONIP | Identifying Task-Based Dynamic Functional Connectivity Using Tensor Decomposition. | Wenya Liu, Xiulin Wang, Tapani Ristaniemi, Fengyu Cong |
| 2020 | ISNN | Multi-resolution Statistical Shape Models for Multi-organ Shape Modelling. | Zhonghua Chen, Tapani Ristaniemi, Fengyu Cong, Hongkai Wang |
| 2019 | ICASSP | Higher-order Nonnegative CANDECOMP/PARAFAC Tensor Decomposition Using Proximal Algorithm. | Deqing Wang, Fengyu Cong, Tapani Ristaniemi |
| 2019 | ICASSP | Fast Implementation of Double-coupled Nonnegative Canonical Polyadic Decomposition. | Xiulin Wang, Tapani Ristaniemi, Fengyu Cong |
| 2019 | ICASSP | Measuring the Task Induced Oscillatory Brain Activity Using Tensor Decomposition. | Yongjie Zhu, Xueqiao Li, Tapani Ristaniemi, Fengyu Cong |
| 2019 | ISNN | Classification of Schizophrenia Patients and Healthy Controls Using ICA of Complex-Valued fMRI Data and Convolutional Neural Networks. | Yue Qiu, Qiu-Hua Lin, Li-Dan Kuang, Wenda Zhao, Xiao-Feng Gong, Fengyu Cong, Vince D. Calhoun |
| 2019 | ISNN | Generalization of Linked Canonical Polyadic Tensor Decomposition for Group Analysis. | Xiulin Wang, Chi Zhang, Tapani Ristaniemi, Fengyu Cong |
| 2018 | ISNN | Increasing Stability of EEG Components Extraction Using Sparsity Regularized Tensor Decomposition. | Deqing Wang, Xiaoyu Wang, Yongjie Zhu, Petri Toiviainen, Minna Huotilainen, Tapani Ristaniemi, Fengyu Cong |
| 2017 | ICASSP | Post-ICA phase de-noising for resting-state complex-valued FMRI data. | Li-Dan Kuang, Qiu-Hua Lin, Xiao-Feng Gong, Fengyu Cong, Vince D. Calhoun |
| 2017 | ISNN | Cluster Aggregation for Analyzing Event-Related Potentials. | Reza Mahini, Tianyi Zhou, Peng Li, Asoke K. Nandi, Huanjie Li, Hong Li, Fengyu Cong |
| 2017 | ISNN | Comparison of Functional Network Connectivity and Granger Causality for Resting State fMRI Data. | Ce Zhang, Qiu-Hua Lin, Chao-Ying Zhang, Ying-Guang Hao, Xiao-Feng Gong, Fengyu Cong, Vince D. Calhoun |
| 2016 | ICASSP | An adaptive fixed-point IVA algorithm applied to multi-subject complex-valued FMRI data. | Li-Dan Kuang, Qiu-Hua Lin, Xiao-Feng Gong, Fengyu Cong, Vince D. Calhoun |
| 2016 | ICONIP | Nonnegative Tensor Train Decompositions for Multi-domain Feature Extraction and Clustering. | Namgil Lee, Anh Huy Phan, Fengyu Cong, Andrzej Cichocki |
| 2016 | ISNN | Individual Independent Component Analysis on EEG: Event-Related Responses Vs. Difference Wave of Deviant and Standard Responses. | Tiantian Yang, Fengyu Cong, Zheng Chang, Youyi Liu, Tapani Ristaniemi, Hong Li |
| 2015 | IJCNN | Combining PCA and multiset CCA for dimension reduction when group ICA is applied to decompose naturalistic fMRI data. | Valeri Tsatsishvili, Fengyu Cong, Petri Toiviainen, Tapani Ristaniemi |
| 2015 | ISNN | Wood Surface Quality Detection and Classification Using Gray Level and Texture Features. | Deqing Wang, Zengwu Liu, Fengyu Cong |
| 2013 | ESANN | Dimension reduction for individual ica to decompose FMRI during real-world experiences: principal component analysis vs. canonical correlation analysis. | Valeri Tsatsishvili, Fengyu Cong, Tuomas Puolivli, Vinoo Alluri, Petri Toiviainen, Asoke K. Nandi, Elvira Brattico, Tapani Ristaniemi |
| 2013 | ICASSP | Semi-blind independent component analysis of functional MRI elicited by continuous listening to music. | Tuomas Puolivli, Fengyu Cong, Vinoo Alluri, Qiu-Hua Lin, Petri Toiviainen, Asoke K. Nandi, Elvira Brattico, Tapani Ristaniemi |
| 2013 | ISNN | Applying Wavelet Packet Decomposition and One-Class Support Vector Machine on Vehicle Acceleration Traces for Road Anomaly Detection. | Fengyu Cong, Hannu Hautakangas, Jukka Nieminen, Oleksiy Mazhelis, Mikko Perttunen, Jukka Riekki, Tapani Ristaniemi |
| 2012 | ICONIP | Feature Extraction by Nonnegative Tucker Decomposition from EEG Data Including Testing and Training Observations. | Fengyu Cong, Anh Huy Phan, Qibin Zhao, Qiang Wu, Tapani Ristaniemi, Andrzej Cichocki |
| 2012 | ISNN | A Systematic Independent Component Analysis Approach to Extract Mismatch Negativity. | Fengyu Cong, Aleksandr Aleksandrov, Veronika Knyazeva, Tatyana Deinekina, Tapani Ristaniemi |
| 2011 | UIC | Distributed Road Surface Condition Monitoring Using Mobile Phones. | Mikko Perttunen, Oleksiy Mazhelis, Fengyu Cong, Mikko Kauppila, Teemu Leppnen, Jouni Kantola, Jussi Collin, Susanna Pirttikangas, Janne Haverinen, Tapani Ristaniemi, Jukka Riekki |
| 2010 | IJCNN | Identical fits of nonnegative matrix/tensor factorization may correspond to different extracted event-related potentials. | Fengyu Cong, Anh Huy Phan, Andrzej Cichocki, Heikki Lyytinen, Tapani Ristaniemi |
| 2010 | IJCNN | Concatenated trial based Hilbert-Huang transformation on event-related potentials. | Fengyu Cong, Tuomo Sipola, Xiaonan Xu, Tiina Huttunen-Scott, Heikki Lyytinen, Tapani Ristaniemi |
| 2010 | ISNN | Extract Mismatch Negativity and P3a through Two-Dimensional Nonnegative Decomposition on Time-Frequency Represented Event-Related Potentials. | Fengyu Cong, Igor Kalyakin, Anh Huy Phan, Andrzej Cichocki, Tiina Huttunen-Scott, Heikki Lyytinen, Tapani Ristaniemi |
| 2009 | IJCNN | Non-negative matrix factorization Vs. FastICA on mismatch negativity of children. | Fengyu Cong, Zhilin Zhang, Igor Kalyakin, Tiina Huttunen-Scott, Heikki Lyytinen, Tapani Ristaniemi |