Selected Publications

See my Google Scholar profile for a full list of publications.

We are dedicated to building an open-source community. All source code from our research is (or will be) publicly available online. If you encounter any issues in accessing the code, please do not hesitate to contact the first author of the paper. 

Conference Papers (* indicates equal contributions)

[39] Hao Zheng, Zhigang Hu, Boyu Wang, Liu Yang, Meiguang Zheng, Aikun Xu "ConFREE: Conflict-free Client Update Aggregation for Personalized Federated Learning," AAAI Conference on Artificial Intelligence (AAAI), 2025.

[38] Ruizhi Pu, Gezheng Xu, Ruiyi Fang, Bingkun Bao, Charles Ling, and Boyu Wang. "Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression," AAAI Conference on Artificial Intelligence (AAAI), 2025.

[37] Pengcheng Xu, Qingnan Fan, Fei Kou, Shuai Qin, Hong Gu, Ruoyu Zhao, Charles Ling, and Boyu Wang. "Textualize Visual Prompt for Image Editing via Diffusion Bridge," AAAI Conference on Artificial Intelligence (AAAI), 2025.

[36] Maxwell Yin, Boyu Wang, and Charles Ling "MABR: Multilayer Adversarial Bias Removal Without Prior Bias Knowledge," AAAI Conference on Artificial Intelligence (AAAI), 2025.

[35] Qiuhao Zeng, Long-Kai Huang, Qi Chen, Charles Ling, and Boyu Wang. "Towards Understanding Evolving Patterns in Sequential Data," Neural Information Processing Systems (NeurIPS), 2024 (spotlight). 

[34] Hui Guo, Grace Yi, and  Boyu Wang. "Learning from Noisy Labels via Conditional Distributionally Robust Optimization," Neural Information Processing Systems (NeurIPS), 2024. 

[33] Gezheng Xu, Qi Chen, Charles Ling, Boyu Wang, and Changjian Shui. "Intersectional Unfairness Discovery," International Conference on Machine Learning (ICML), 2024 [code].

[32] Nima Hosseini Dashtbayaz, Ghazal Farhani, Boyu Wang, and Charles Ling. "Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations," International Joint Conference on Artificial Intelligence (IJCAI), 2024 [code].

[31] Maxwell Yin, Boyu Wang, and Charles X. Ling. "Source-Free Unsupervised Domain Adaptation for Question Answering via Prompt-Assisted Self-Learning," Findings of the Conference of the North American Chapter of the Association for Computational Linguistics (NAACL Findings), 2024.

[30] Qiuhao Zeng, Changjian Shui, Long-Kai Huang, Peng Liu, Xi Chen, Charles Ling, and Boyu Wang. "Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time," International Conference on Learning Representations (ICLR), 2024 (oral, acceptance rate ≈ 1.2%) [code]. 

[29] Chengming Hu, Haolun Wu, Xuan Li, Chen Ma, Xi Chen, Boyu Wang, Jun Yan, and Xue Liu. "Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation," International Conference on Learning Representations (ICLR), 2024.

[28] Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagné, Shichun Yang, Charles Ling, and Boyu Wang. "Generalizing Across Temporal Domains with Koopman Operators," AAAI Conference on Artificial Intelligence (AAAI), 2024 [code].

[27] Hui Guo, Boyu Wang, and Grace Yi. "Label Correction of Crowdsourced Noisy Annotations with an Instance-Dependent Noise Transition Model," Neural Information Processing Systems (NeurIPS), 2023. 

[26] Ganyu Wang, Qingsong Zhang, Xiang Li, Boyu Wang, Bin Gu, and Charles Ling. "A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning," Neural Information Processing Systems (NeurIPS), 2023. 

[25] Wei Wang, Zhun Zhong, Weijie Wang, Xi Chen, Charles Ling, Nicu Sebe, Boyu Wang. "Dynamically Instance-Guided Adaptation: A Backward-free Approach for Test-Time Domain Adaptive Semantic Segmentation," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 [code]. 

[24] Yuting He, Guanyu Yang, Rongjun Ge, Yang Chen, Jean-louis louis Coatrieux, Boyu Wang, and Shuo Li. "Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-training", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 [project page]. 

[23] Li Yi*, Gezheng Xu*, Pengcheng Xu, Jiaqi Li, Ruizhi Pu, Charles Ling, Ian McLeod, and Boyu Wang. "When Source-Free Domain Adaptation Meets Learning with Noisy Labels," International Conference on Learning Representations (ICLR), 2023 (spotlight, acceptance rate ≈ 5.7%) [code]. 

[22] Pengcheng Xu, Boyu Wang, and Charles Ling. "Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation," AAAI Conference on Artificial Intelligence (AAAI), 2023 (oral) [code]. 

[21] Qiuhao Zeng, Wei Wang, Fan Zhou, Charles Ling, and Boyu Wang. "Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-Stationary Environments," AAAI Conference on Artificial Intelligence (AAAI), 2023 [code].

[20] Meng Jiao, Shihao Yang, Boyu Wang, Xiaochen Xian, Yevgeniy R Semenov, Guihong Wan, and Feng Liu. "MMDF-ESI: Multi-Modal Deep Fusion of EEG and MEG for Brain Source Imaging," International Conference on Brain Informatics (BI), 2023 (Best Student Paper Award).

[19] Yujiao Hao, Boyu Wang, and Rong Zheng. "VALERIAN: Invariant Feature Learning for IMU Sensor-based Human Activity Recognition in the Wild," ACM/IEEE Conference on Internet of Things Design and Implementation (IoTDI), 2023.

[18] Changjian Shui*, Gezheng Xu*, Qi Chen, Jiaqi Li, Charles Ling, Tal Arbel, Boyu Wang, and Christian Gagné. "On Learning Fairness and Accuracy on Multiple Subgroups," Neural Information Processing Systems (NeurIPS), 2022 [code].

[17] Changjian Shui, Qi Chen, Jiaqi Li, Boyu Wang, and Christian Gagné. "Fair Representation Learning through Implicit Path Alignment," International Conference on Machine Learning (ICML), 2022 [code, blog].

[16] Li Yi, Sheng Liu, Qi She, Ian McLeod, and Boyu Wang. "On Learning Contrastive Representations for Learning with Noisy Labels," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 [code].

[15] Lei Zhu, Qi She, Qian Chen, Yunfei You, Boyu Wang, and Yanye Lu. "Weakly Supervised Object Localization as Domain Adaption," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 [code].

[14] Changjian Shui, Zijian Li, Jiaqi Li, Christian Gagné, Charles Ling, and Boyu Wang. "Aggregating From Multiple Target-Shifted Sources," International Conference on Machine Learning (ICML), 2021 [code].

[13] Fan Zhou, Boyu Wang, and Brahim Chaib-draa. "Multi-task Learning by Leveraging the Semantic Information," AAAI Conference on Artificial Intelligence (AAAI), 2021 [code].

[12] Zhiyuan Zhu, Boyu Wang, and Shuo Li. "A Triple-Pooling Graph Neural Network for Multi-scale Topological Learning of Brain Functional Connectivity: Application to ASD Diagnosis". CAAI International Conference on Artificial Intelligence (CICAI), 2021 (Best Student Paper Award, 1/307).

[11] Jorge Mendez, Boyu Wang, and Eric Eaton. "Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting," Neural Information Processing Systems (NeurIPS), 2020 [code].

[10] Changjian Shui, Fan Zhou, Christian Gagné, and Boyu Wang. "Deep Active Learning: Unified and Principled Method for Query and Training," International Conference on Artificial Intelligence and Statistics (AISTATS), 2020 [code].

[9] Jiahao Xie, Zebang Shen, Chao Zhang, Boyu Wang, and Hui Qian. "Efficient Projection-Free Online Methods with Stochastic Recursive Gradient," AAAI Conference on Artificial Intelligence (AAAI), 2020.

[8] Boyu Wang, Jorge Mendez, Ming Bo Cai, and Eric Eaton. "Transfer Learning via Minimizing the Performance Gap Between Domains," Neural Information Processing Systems (NeurIPS), 2019 [code].

[7] Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, and Christian Gagné. "A Principled Approach for Learning Task Similarity in Multitask Learning," International Joint Conference on Artificial Intelligence (IJCAI), 2019 [code]. 

[6] Boyu Wang, Hejia Zhang, Peng Liu, Zebang Shen, and Joelle Pineau. "Multitask Metric Learning: Theory and Algorithm," International Conference on Artificial Intelligence and Statistics (AISTATS), 2019 (oral, acceptance rate = 28/1111 ≈ 2.5%). 

[5] Qicheng Lao, Thomas Fevens, and Boyu Wang. "Leveraging Disease Progression Learning for Medical Image Recognition," International Conference on Bioinformatics and Biomedicine (BIBM), 2018. 

 [4] Di Wu, Boyu Wang, Doina Precup, and Benoit Boulet. "Boosting Based Multiple Kernel Learning and Transfer Regression for Electricity Load Forecasting," Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), 2017.

 [3] Boyu Wang,  and Joelle Pineau. “Generalized Dictionary for Multitask Learning with Boosting,” International Joint Conference on Artificial Intelligence (IJCAI), 2016. 

 [2] Boyu Wang, Borja Balle, and Joelle Pineau, “Multitask Generalized Eigenvalue Program,” AAAI Conference on Artificial Intelligence (AAAI), 2016.

 [1] Boyu Wang, and Joelle Pineau, “Online Boosting Algorithms for Anytime Transfer and Multitask Learning,” AAAI Conference on Artificial Intelligence (AAAI), 2015. 

Journal Publications

[54] Ghazal Farhani, Nima Hosseini Dashtbayaz, Alexander Kazachek, and Boyu Wang. "A Simple Remedy for Failure Modes in Physics Informed Neural Networks," Neural Networks, accepted.

[53] Mansoure Jahanian, Marc Joanisse, Boyu Wang, Yalda Mohsenzadeh, "Multivariate Pattern Analysis of EEG Reveals Neural Mechanism of Naturalistic Target Processing in Attentional Blink," Journal of Neuroscience,  accepted.

[52] Pengcheng Guo, Yonghong Song, Boyu Wang, Jiaohao Liu, and Qi Zhang. "PLBR: A Semi-supervised Document Key Information Extraction via Pseudo-labeling Bias Rectification," IEEE Transactions on Knowledge and Data Engineering (TKDE), accepted.

[51] Jiaqi Li, Yuanhao Lai, Rui Wang, Changjian Shui, Sabyasachi Sahoo, Charles X. Ling, Shichun Yang, Boyu Wang, Christian Gagne, and Fan Zhou."Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning," IEEE Transactions on Knowledge and Data Engineering (TKDE), accepted.

[50] Yi Yang, Ze Wang, Wei Tao, Xucheng Liu, Ziyu Jia, Boyu Wang, and Feng Wan. "Spectral-Spatial Attention Alignment for Multi-Source Domain Adaptation in EEG-based Emotion Recognition," IEEE Transactions on Affective Computing (TAFFC), accepted.

[49] Charles X. Ling, Ganyu Wang, and Boyu Wang. Sparse and Expandable Network (SEN) for Google’s Pathways. Frontiers in Big Data, vol. 7, no. 1348030, 2024.

[48] Xiaoxiao Cui, Boyu Wang, Shanzhi Jiang, Zhi Liu, Hongji Xu, Lizhen Cui, and Shuo Li. "Unified Bi-encoder Bispace-discriminator Disentanglement for Cross-domain Echocardiography Segmentation," Knowledge-Based Systems, vol. 303, no. 112394, 2024.

[47] Meng Jiao, Xiaochen Xian, Boyu Wang, Yu Zhang, Shihao Yang, Spencer Chen, Hai Sun, and Feng Liu. "XDL-ESI: Electrophysiological Sources Imaging via Explainable Deep Learning Framework with Validation on Simultaneous EEG and iEEG," vol. 299, no. 120802, 2024. 

[46] Saba Charmi, Motlagh Marc Joanisse, Boyu Wang, and Yalda Mohsenzadeh "Unveiling the Neural Dynamics of Conscious Perception in Rapid Object Recognition," NeuroImage, vol. 296, no. 120668, 2024. 

[45] Yuan Zhou, Songyu Fang, Shuoshi Li, Boyu Wang, and Sun-Yuan Kung "Contrastive Learning based Open-Set Recognition with Unknown Score," Knowledge-Based Systems, vol. 296, no. 111926, 2024.

[44] Ganyu Wang, Qingsong Zhang, Li Xiang, Boyu Wang, Bin Gu, and Charles Ling. "Secure and Fast Asynchronous Vertical Federated Learning via Cascaded Hybrid Optimization," Machine Learning, vol. 113, pp. 6413–6451, 2024. 

[43] Jian Zhu, Xinyu Chen, Qintai Hu, Yutang Xiao, Boyu Wang, Bin Sheng, and C. L. Philip Chen. "Clustering Environment Aware Learning for Active Domain Adaptation," IEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMC), vol. 54, no. 6, pp. 3891-3904, 2024..

[42] Maxwell Yin, Boyu Wang, Yue Dong, and Charles X. Ling. "Source-Free Domain Adaptation for Question Answering with Masked Self-training," Transactions of the Association for Computational Linguistics (TACL), vol. 12, pp. 721-737, 2024 [code].

[41] Yuan Zhou, Jieke Hao, Shuwei Huo, Boyu Wang, Leijiao Ge, and Sun-Yuan Kung. "Automatic Metric Search for Few-shot Learning," IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 35, no. 7, pp. 10098-10109, 2024.

[40] Ehsan Hallaji, Roozbeh Razavi-Far,  Mehrdad Saif, Boyu Wang, and Qiang Yang. "Decentralized Federated Learning: A Survey on Security and Privacy," IEEE Transactions on Big Data (TBD), vol. 10, no. 2, pp. 194-213, 2024. 

[39] Sepehr Asgarian, Ze Wang, Feng Wan, Chi Man Wong, Feng Liu, Yalda Mohsenzadeh, Boyu Wang, and Charles X. Ling. "Multi-view Contrastive Learning for Unsupervised Domain Adaptation in Brain-Computer Interfaces," IEEE Transactions on Instrumentation & Measurement (TIM), vol. 73, 2024. 

[38] Yutang Xiao, Hongbo Shi, Bing Song, Yang Tao, Shuai Tan, and Boyu Wang. "Temporal Attention Source-Free Adaptation for Chemical Processes Fault Diagnosis," IEEE Transactions on Industrial Informatics (TII), vol. 20, no. 3, pp. 4773-4783, 2024. 

[37] Joe Yang, Lina Chen, Eric Liu, Boyu Wang, David K. Driman, Qi Zhang, and Charles X. Ling. "Deep Learning System for True- and Pseudo-Invasion in Colorectal Polyps," Nature Scientific Reports, vol. 14, no. 426, 2024.

[36] Yujiao Hao, Xijian Lou, Rong Zheng, and Boyu Wang."CROMOSim: A Deep Learning-based Cross-modality Inertial Measurement Simulator," IEEE Transactions on Mobile Computing (TMC), vol. 23, no. 1, pp. 302-312, 2024.

[35] Maxwell Yin, Boyu Wang, and Charles X. Ling. "A Fast Local Citation Recommendation Algorithm Scalable to Multi Topics," Expert Systems With Applications, vol. 238, Part C, 2024.

[34] Jian Zhu, Ganxi Xu, Qintai Hu, Boyu Wang, Teng Zhou, and Jing Qin. "Dual Contrastive Training and Transferability Aware Adaptation for Multi-Source Privacy-Preserving Motor Imagery Classification," IEEE Transactions on Instrumentation & Measurement (TIM), vol. 73, 2024.

[33] Boyu Wang, Jorge Mendez, Changjian Shui, Fan Zhou, Di Wu, Gezheng Xu, Christian Gagné, and Eric Eaton. "Gap Minimization for Knowledge Sharing and Transfer," Journal of Machine Learning Research (JMLR), vol. 24, no. 33, pp. 1-57, 2023. [demo].

[32] Changjian Shui*, Ruizhi Pu*, Gezheng Xu, Jun Wen, Fan Zhou, Christian Gagné, Charles X. Ling, and Boyu Wang. "Towards More General Loss and Setting in Unsupervised Domain Adaptation," IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 35, no. 10, pp. 10140-10150, 2023. 

[31] Fan Zhou, Yuyi Chen, Shichun Yang, Boyu Wang, and Brahim Chaib-draa. "On the Value of Label and Semantic Information in Domain Generalization," Neural Networks, vol. 163, pp. 244-255, 2023.

[30] Fan Zhou, Yuyi Chen, Jun Wen, Qiuhao Zeng, Changjian Shui, Charles Ling, Shichun Yang, and Boyu Wang. "Episodic Task Agnostic Contrastive Training for Multi-task Learning," Neural Networks, vol. 162, pp. 34-45, 2023.

[29] Ze Wang, Chi Man Wong, Boyu Wang, Zhao Feng, Chitin Hon, Feng Wan. "Compact Artificial Neural Network Based on Task Attention for Individual SSVEP Recognition with Less Calibration," IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), vol. 31, pp. 2525-2534, 2023. 

[28] Chi Man Wong, Ze Wang, Boyu Wang, Agostinho Rosa, Tzyy-Ping Jung, Feng Wan. "Enhancing Detection of Multi-Frequency-Modulated SSVEP using Phase Difference Constrained Canonical Correlation Analysis," IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), vol. 31, pp. 1343-1352, 2023.

[27] Changjian Shui, Wei Wang, Ihsen Hedhli, Chi Man Wong, Feng Wang, Boyu Wang, and Christian Gagné. "Lifelong Online Learning from Accumulated Knowledge," ACM Transactions on Knowledge Discovery from Data (TKDD), vol. 17, no. 4, pp. 1-23, 2023. [showcase].

[26] Di Wu*, Fan Zhou*, Boyu Wang, Qicheng Lao, Chi Man Wong, Changjian Shui, Yuan Zhou, and Feng Wan, “On the Benefits of Two Dimensional Metric Learning,”  IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 35, no. 2, pp. 1909-1921, 2023.

[25] Yutang Xiao, Hongbo Shi, Boyu Wang, Yang Tao, Shuai Tan, and Bing Song. "Fault diagnosis of Unseen Modes in Chemical Processes based on Labeling and Class Progressive Adversarial Learning," IEEE Transactions on Instrumentation & Measurement (TIM), vol. 72, 2023.

[24] Zhiyuan Zhu, Taicheng Huang, Zonglei Zhen, Boyu Wang, Xia Wu, and Shuo Li. "From sMRI to Task-fMRI: A Unified Geometric Deep Learning Framework for Cross-modal Brain Anatomo-functional Mapping," Medical Image Analysis (MedIA), vol. 83, 2023.

[23] Jiaqi Li*, Haojia Kong*, Gezheng Xu, Changjian Shui, Ruizhi Pu, Zhao Kang, Charles X. Ling, and Boyu Wang. "Label Shift Conditioned Hybrid Querying for Deep Active Learning," Knowledge-Based Systems, vol. 274, 2023.

[22] Yuan Zhou, Haiyang Wang, Shuwei Huo, and Boyu Wang. "Hierarchical Full-Attention Neural Architecture Search based on Search Space Compression," Knowledge-Based Systems, vol. 269, 2023.

[21] Changjian Shui, Qi Chen, Jun Wen, Fan Zhou, Christian Gagné, and Boyu Wang. "A Novel Domain Adaptation Theory With Jensen-Shannon Divergence," Knowledge-Based Systems, vol. 257, 2022.

[20] Yujiao Hao, Rong Zheng, and Boyu Wang. "Invariant Feature Learning for Sensor-based Human Activity Recognition," IEEE Transactions on Mobile Computing (TMC), vol. 21, no. 11, pp. 4013 - 4024, 2022.

[19] Yutang Xiao, Hongbo Shi, Boyu Wang, Yang Tao, Shuai Tan, and Bing Song. "Weighted Conditional Discriminant Analysis for Unseen Operating Modes Fault Diagnosis in Chemical Processes," IEEE Transactions on Instrumentation & Measurement (TIM), vol. 71, pp. 1-14, 2022.

[18] Chi Man Wong, Ze Wang, Masaki Nakanishi, Boyu Wang, Agostinho Rosa, C. L. Philip Chen, Tzyy-Ping Jung, and Feng Wan. "Online Adaptation Boosts SSVEP-Based BCI Performance," IEEE Transactions on Biomedical Engineering (TBME), vol. 69, no. 6, pp. 2018-2028, 2022.

[17] Changjian Shui, Boyu Wang, and Christian Gagné. "On the Benefits of Representation Regularization in Invariance based Domain Generalization" Machine Learning, vol.111, no. 3, pp. 895-915, 2022 [demo].

[16] Yutang Xiao, Hongbo Shi, Boyu Wang, Yang Tao, Shuai Tan, and Bing Song, "Adaptive Manifold Discriminative Distribution Alignment for Fault Diagnosis of Chemical Processes," Industrial & Engineering Chemistry Research, vol. 60, no.27, pp. 9860–9870, 2021. 

[15] Fan Zhou, Changjian Shui, Shichun Yang, Bincheng Huang, Boyu Wang, and Brahim Chaib-draa. "Discriminative Active Learning for Domain Adaptation," Knowledge-Based Systems, vol. 222, 2021. 

[14] Juncheng Lv, Zhao Kang, Boyu Wang, Luping Ji,  and Zenglin Xu. "Multi-view Subspace Clustering via Partition Fusion," Information Sciences, vol. 560, pp 410-423, 2021. 

[13] Boyu Wang*, Chi Man Wong*, Zhao Kang, Feng Liu, Changjian Shui, Feng Wan, and C. L. Philip Chen. "Common Spatial Pattern Reformulated for Regularizations in Brain-Computer Interfaces," IEEE Transactions on Cybernetics (TCYB), vol. 51, no. 10, pp. 5008 - 5020, 2021.  

[12] Fan Zhou, Zhuqing Jiang, Changjian Shui, Boyu Wang, and Brahim Chaib-draa. "Domain Generalization via Optimal Transport with Metric Similarity Learning," Neurocomputing, vol. 456, pp. 469-480, 2021. 

[11] Fan Zhou, Boyu Wang, Mahdieh Abbasi, Louis-Emile Robitaille, Christian Gagné, and Changjian Shui."Task Similarity Estimation through Adversarial Multitask Neural Network," IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 32, no. 2, pp. 466-480, 2021. 

[10] Jingmei Yang, Feng Liu, Boyu Wang, Chaoyang Chen, Tim Church, Lee Dukes, and Jeff Smith. "Blood Pressure States Transition Inference Based on Multi-state Markov Model," IEEE Journal of Biomedical and Health Informatics (JBHI), vol. 25, no. 1, pp. 237-246, 2021. 

[9] Roozbeh Razavi-Far, Maryam Farajzadeh-Zanajni, Boyu Wang, Mehrdad Saif, and Shiladitya Chakrabarti. "Imputation-based Ensemble Techniques for Class Imbalance Learning," IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 33, no. 5,  pp. 1988-2001, 2021.

[8] Chi Man Wong, Ze Wang, Boyu Wang, Ka Fai Lao, Agostinho Rosa, Peng Xu, Tzyy-Ping Jung, C. L. Philip Chen, and Feng Wan. "Inter- and Intra-Subject Transfer Reduces Calibration Effort for High-Speed SSVEP-based BCIs," IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), vol. 28, no. 10, pp. 2123-2135, 2020. 

[7] Chi Man Wong, Boyu Wang, Feng Wan, Ze Wang, Ka Fai Lao, and Agostinho Rosa. "Spatial Filtering in SSVEP-based BCIs: Unified Framework and New Improvements," IEEE Transactions on Biomedical Engineering (TBME), vol. 67, no. 11, pp. 3057-3072, 2020. 

[6] Di Wu, Boyu Wang, Doina Precup, and Benoit Boulet. "Multiple Kernel Learning-based Transfer Regression for Electric Load Forecasting," IEEE Transactions on Smart Grid (TSG), vol. 11, no. 2, pp. 1183-1192, 2020.

[5] Chi Man Wong, Feng Wan, Boyu Wang, Ze Wang, Wenya Nan, Ka Fai Lao, Peng Un Mak, Mang I Vai, and Agostinho Rosa. "Learning Across Multi-Stimulus Enhances Target Recognition Methods in SSVEP-based BCIs," Journal of Neural Engineering, vol. 17, no. 1, 2020.  

[4] Boyu Wang*, James Antony*, Sarah Lurie, Paula Brooks, Ken Paller, and Kenneth Norman. "Targeted Memory Reactivation during Sleep Elicits Neural Signals Related to Learning Content," Journal of Neuroscience,  vol. 39, no. 34, pp. 6728-6736, 2019 (* indicates equal contribution). 

[3] Zhao Kang, Honghui Xu, Boyu Wang, Hongyuan Zhu, and Zenglin Xu. "Clustering with Similarity Preserving," Neurocomputing, vol. 365, no. 6, pp. 211-218, 2019.

[2] Wenya Nan, Feng Wan, Qi Tang, Chi Man Wong, Boyu Wang, and Agostinho Rosa. "Eyes-Closed Resting EEG Predicts the Learning of Alpha Down-Regulation in Neurofeedback Training," Frontiers in Psychology, vol. 9, 2018.

[1] Boyu Wang, and Joelle Pineau. “Online Bagging and Boosting for Imbalanced Data Streams,” IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 28, no. 12, pp. 3353-3366, 2016. 

Books

[1] Roozbeh Razavi-Far, Boyu Wang, Matthew E. Taylor, and Qiang Yang (Eds.). Federated and Transfer Learning, Springer, 2023.

Workshop Papers and Abstracts

[4] Changjian Shui, Fan Zhou, Christian Gagné, and Boyu Wang. "Deep Active Learning: Unified and Principled Method for Query and Training," ICML Workshop on Human in the Loop Learning, 2020.  

[3] Boyu Wang, James Antony, Sarah Lurie, Ken Paller, and Kenneth Norman. "Detecting Content-Specific Patterns using Targeted Memory Reactivation," Annual Meeting of the Society for Neuroscience, 2017.

[2] James Antony, Larry Cheng, Paula Pacheco, Boyu Wang, Ken Paller, and Kenneth Norman. "Competition Between Items During Learning Influences Targeted Memory Reactivation During Sleep," Annual Meeting of the Society for Neuroscience, 2017.

[1] Boyu Wang, Borja Balle, and Joelle Pineau. "Multitask Generalized Eigenvalue Program," NIPS Workshop on Transfer and Multi-Task Learning, 2015.