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)

[57] Ruiyi Fang, Jingyu Zhao, Shuo Wang, Ruizhi Pu, Bingheng Li, Jiale Cai, Zhihao Li, Zihao Jing, Jian Zhu, Song Tang, Charles Ling, and Boyu Wang. "SAGA: Structural Aggregation Guided Alignment with Dynamic View and Neighborhood Order Selection for Multiview Graph Domain Adaptation," International Conference on Learning Representations (ICLR), 2026.

[56] Zhihao Li, Gezheng Xu, Jiale Cai, Ruiyi Fang, Di Wu, Qicheng Lao, Charles Ling, and Boyu Wang. "When Priors Backfire: On the Vulnerability of Unlearnable Examples to Pretraining," International Conference on Learning Representations (ICLR), 2026.

[55] Zihao Jing, Qiuhao Zeng, Ruiyi Fang, Yan Sun, Boyu Wang, and Pingzhao Hu. "Entropy-Guided Dynamic Tokens for Graph-LLM Alignment in Molecular Understanding," International Conference on Learning Representations (ICLR), 2026.

[54] Song Tang, Peihao Gong, Kunyu Li, Kai Guo, Boyu Wang, Mao Ye, Jianwei Zhang, and Xiatian Zhu. "Consistent Text-to-Image Generation via Scene De-Contextualization," International Conference on Learning Representations (ICLR), 2026.

[53] Ruiyi Fang, Shuo Wang, Ruizhi Pu, Qiuhao Zeng, Hao Zheng, Ziyan Wang, Jiale Cai, Zhimin Mei, Song Tang, Charles Ling, and Boyu Wang. "Graph Domain Adaptation via Homophily-Agnostic Reconstructing Structure," AAAI Conference on Artificial Intelligence (AAAI), 2026 (oral).

[52] Hao Zheng, Shiyu Song, Zhigang Hu, Meiguang Zheng, Liu Yang, Aikun Xu, Rongchang Zhao, Ruizhi Pu, Ruiyi Fang, and Boyu Wang."Intra-Class Unbiased Prototype Aggregation and Classifier Collaboration for Personalized Federated Learning," AAAI Conference on Artificial Intelligence (AAAI), 2026.

[51] Hao Zheng, Zhigang Hu, Meiguang Zheng, Liu Yang, Aikun Xu, Tingxuan Chen, Rongchang Zhao, and Boyu Wang."HiFC-GAN: Hierarchical Feature-Constrained GAN for Optical-to-SAR Transfer in SAR Target Classification," AAAI Conference on Artificial Intelligence (AAAI), 2026.

[50] Zhihao Li*, Jiale Cai*, Gezheng Xu, Hao Zheng, Qiuyue Li, Fan Zhou, Shichun Yang, Charles Ling, and Boyu Wang. "Versatile Transferable Unlearnable Example Generator," Neural Information Processing Systems (NeurIPS), 2025.

[49] Ruiyi Fang, Bingheng Li, Jingyu Zhao, Ruizhi Pu, Qiuhao Zeng, Gezheng Xu, Charles Ling, and Boyu Wang. "Homophily Enhanced Graph Domain Adaptation," International Conference on Machine Learning (ICML), 2025.

[48] Ganyu Wang, Jinjie Fang, Maxwell Juncheng Yin, Bin Gu, Xi Chen, Boyu Wang, Yi Chang, and Charles Ling. "FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning," International Conference on Machine Learning (ICML), 2025.

[47] Pengcheng Guo, Yonghong Song, and Boyu Wang. "Towards Debiased Generalized Category Discovery," International Joint Conference on Artificial Intelligence (IJCAI), 2025.

[46] Hao Zheng, Zhigang Hu, Boyu Wang, Liu Yang, Meiguang Zheng, and Aikun Xu. "FedCALM: Conflict-aware Layer-wise Mitigation for Selective Aggregation in Deeper Personalized Federated Learning," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

[45] Pengcheng Xu, Boyuan Jiang, Xiaobin Hu, Donghao Luo, Qingdong He, Jiangning Zhang, Chengjie Wang, Yunsheng Wu, Charles Ling, and Boyu Wang. "Unveil Inversion and Invariance in Flow Transformer for Versatile Image Editing," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

[44] Ruiyi Fang, Bingheng Li, Zhao Kang, Qiuhao Zeng, Ruizhi Pu, Nima Hosseini Dashtbayaz, Charles Ling, and Boyu Wang. "On the Benefits of Attribute-Driven Graph Domain Adaptation," International Conference on Learning Representations (ICLR), 2025.

[43] Gezheng Xu*, Hui Guo*, Li Yi, Charles Ling, Boyu Wang, and Grace Yi. "Revisiting Source-Free Domain Adaptation: a New Perspective via Uncertainty Control," International Conference on Learning Representations (ICLR), 2025.

[42] Qiuhao Zeng, Jerry Huang, Peng Lu, Gezheng Xu, Boxing Chen, Charles Ling, and Boyu Wang. "ZETA: Leveraging Z-order Curves for Efficient Top-k Attention,"  International Conference on Learning Representations (ICLR), 2025.

[41] Ganyu Wang, Boyu Wang, Bin Gu, and Charles Ling. "Event-Driven Online Vertical Federated Learning," International Conference on Learning Representations (ICLR), 2025.

[40] Jianyuan Li, Xiong Luo, and Boyu Wang. "Active Learning for Lesion Segmentation Using Contrastive Learning With Strong Augmentation," IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025.

[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 (oral, acceptance rate ≈ 4.6%).

[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 (oral, acceptance rate ≈ 4.6%).

[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, acceptance rate ≈ 2.1%). 

[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 (spotlight) [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

[66] Hui Guo, Grace Yi, and Boyu Wang. "Addressing Both Variable Selection and Misclassified Responses with Parametric and Semiparametric Methods," Bernoulli, accepted. 

[65] Yi Yang, Ze Wang, Ziyu Jia, Boyu Wang, Shangen Zhang, Chi Man Wong, Xiaorong Gao, Tzyy-Ping Jung, and Feng Wan "Dual-Branch Attention-based Frequency Domain Network for Cross-subject SSVEP-BCIs," IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), accepted.

[64] Pengcheng Guo, Yonghong Song, Boyu Wang, Yankai Cao, Jiayang Ren, Chaojie Ji, Jiahao Liu, Qi Zhang, and Qiangqiang Mao. "Class-Missing Semi-Supervised Document Key Information Extraction via Synergistic Refinement Estimation," Information Processing & Management (IPM), vol. 62, no.1, 104335, 2026.

[63] Yan Sun, Lianghong Chen, Zihao Jing, Yan Yi Li, Dongkyu Kim, Jing-Yan Gao, Reza Noroozi, Grace Yi, Conrard Giresse Tetsassi Feugmo, Anna Klinkova, Kyla Sask, Agustinus Kristiadi, Boyu Wang, Elizabeth R Gillies, Kun Ping Lu, HaoTian Harvey Shi, Pingzhao Hu."Generative AI for the Design of Molecules: Advances and Challenges," Journal of Chemical Information and Modeling, vol. 65, no. 23, pp. 12668-12690. 2025.

[62] Yutang Xiao, Xiaoyong Zhu, Li Zhang, Lei Xu, Boyu Wang, Wen-hua Chen."Concatenation Contrastive Adversarial Learning for Fault Detection in Chemical Processes," Process Safety and Environmental Protection, vol. 203, no. 107788, 2025.

[61] Eric Liu, August Lin, Pramath Kakodkar, Yayuan Zhao, Boyu Wang, Charles Ling, and Qi Zhang. "A Deep Active Learning Framework for Mitotic Figure Detection with Minimal Manual Annotation and Labelling," Histopathology, vol. 87, no. 4, pp. 536-547, 2025. 

[60] Pengcheng Xu, Li Yi, Gezheng Xu, Xi Chen, Ian McLeod, Charles Ling, and Boyu Wang. "Uniform Noise Distribution and Compact Clusters: Unveil the Key to Self-Supervised Learning’s Success in Label Noise," Transactions on Machine Learning Research (TMLR), 2025.

[59] Yi Yang, Ze Wang, Yu Song, Ziyu Jia, Boyu Wang, Tzyy-Ping Jung, and Feng Wan. "Exploiting the Intrinsic Neighborhood Semantic Structure for Domain Adaptation in EEG-based Emotion Recognition,"  IEEE Transactions on Affective Computing (IEEE TAFFC), vol. 16, no. 3, pp. 2466-2478.  

[58] Ruizhi Pu, Lixing Yu, Shaojie Zhan, Gezheng Xu, Fan Zhou, Charles Ling, and Boyu Wang. "FedELR: When Federated Learning Meets Learning With Noisy Labels," Neural Networks, vol. 187, no. 107275, 2025. 

[57] Yuting He, Boyu Wang, Rongjun Ge, Yang Chen, Guanyu Yang, and Shuo Li. "Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation Learning," IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), vol. 47, no. 5, pp. 4122 - 4139, 2025.

[56] Gezheng Xu*, Li Yi*, Pengcheng Xu, Jiaqi Li, Ruizhi Pu, Changjian Shui, Charles Ling, Ian McLeod, and Boyu Wang. "Unraveling the Mysteries of Label Noise in Source-Free Domain Adaptation: Theory and Practice," IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), vol. 47, no. 5, pp. 4007 - 4023, 2025.

[55] Ghazal Farhani, Nima Hosseini Dashtbayaz, Alexander Kazachek, and Boyu Wang. "A Simple Remedy for Failure Modes in Physics Informed Neural Networks," Neural Networks, vol. 183, no. 106963, 2025.

[54] 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,  vol. 45, no. 4, e2214232024, 2025.

[53] Jian Zhu, Shuliu Wu, Yutang Xiao, Boyu Wang, and Ruichu Cai. "Dual-Contrastive Multiview Graph Attention Network for Industrial Fault Diagnosis Under Domain and Label Shift," IEEE Transactions on Instrumentation & Measurement (IEEE TIM), vol. 74, 2024. 

[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 (IEEE TKDE), vol. 36, no. 12, pp. 9025-9036, 2024.

[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 (IEEE TKDE), vol. 36, no. 11, pp. 6385-6396, 2024.

[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 (IEEE TAFFC), vol. 15, no. 4, pp. 2012-2024, 2024.

[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," NeuroImage, 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 (IEEE 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 (IEEE 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 (IEEE 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 (IEEE 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 (IEEE 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 (IEEE 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 (IEEE 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 (IEEE 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 (IEEE 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 (IEEE 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 (IEEE 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 (IEEE 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 (IEEE 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 (IEEE 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 (IEEE 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 (IEEE 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 (IEEE 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 (IEEE 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 (IEEE 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 (IEEE 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 (IEEE 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 (IEEE 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. 

[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 (IEEE TKDE), vol. 28, no. 12, pp. 3353-3366, 2016. 

Edited Books and Special Issues

[3] Jie Nie, Boyu Wang, Yuxin Ma, and Weizhi Nie. Multi‑modal Information Analysis and Applications Based on Chat‑GPT. Multimedia Tools and Applications, 2024.

[2] Mohammad Rostami, Boyu Wang, and Roozbeh Razavi-Far. Continual Machine Learning. Frontiers in Artificial Intelligence, 2024.

[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.