Wang, Boyu

53 publications

AAAI 2025 ConFREE: Conflict-Free Client Update Aggregation for Personalized Federated Learning Hao Zheng, Zhigang Hu, Liu Yang, Meiguang Zheng, Aikun Xu, Boyu Wang

ICLR 2025 Event-Driven Online Vertical Federated Learning Ganyu Wang, Boyu Wang, Bin Gu, Charles Ling

CVPR 2025 FedCALM: Conflict-Aware Layer-Wise Mitigation for Selective Aggregation in Deeper Personalized Federated Learning Hao Zheng, Zhigang Hu, Liu Yang, Meiguang Zheng, Aikun Xu, Boyu Wang

ICML 2025 FedOne: Query-Efficient Federated Learning for Black-Box Discrete Prompt Learning Ganyu Wang, Jinjie Fang, Maxwell Juncheng Yin, Bin Gu, Xi Chen, Boyu Wang, Yi Chang, Charles Ling

ICML 2025 Homophily Enhanced Graph Domain Adaptation Ruiyi Fang, Bingheng Li, Jingyu Zhao, Ruizhi Pu, Qiuhao Zeng, Gezheng Xu, Charles Ling, Boyu Wang

CVPRW 2025 LVP-CLIP: Revisiting CLIP for Continual Learning with Label Vector Pool Yue Ma, Huantao Ren, Boyu Wang, Jingang Jin, Senem Velipasalar, Qinru Qiu

AAAI 2025 Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression Ruizhi Pu, Gezheng Xu, Ruiyi Fang, Bingkun Bao, Charles Ling, Boyu Wang

AAAI 2025 MABR: Multilayer Adversarial Bias Removal Without Prior Bias Knowledge Maxwell J. Yin, Boyu Wang, Charles Ling

ICLR 2025 On the Benefits of Attribute-Driven Graph Domain Adaptation Ruiyi Fang, Bingheng Li, Zhao Kang, Qiuhao Zeng, Nima Hosseini Dashtbayaz, Ruizhi Pu, Boyu Wang, Charles Ling

ICLR 2025 Revisiting Source-Free Domain Adaptation: A New Perspective via Uncertainty Control Gezheng Xu, Hui Guo, Li Yi, Charles Ling, Boyu Wang, Grace Yi

AAAI 2025 Textualize Visual Prompt for Image Editing via Diffusion Bridge Pengcheng Xu, Qingnan Fan, Fei Kou, Shuai Qin, Hong Gu, Ruoyu Zhao, Charles Ling, Boyu Wang

IJCAI 2025 Towards Debiased Generalized Category Discovery Pengcheng Guo, Yonghong Song, Boyu Wang

TMLR 2025 Uniform Noise Distribution and Compact Clusters: Unveiling the Success of Self-Supervised Learning in Label Noise Pengcheng Xu, Li Yi, Gezheng Xu, Xi Chen, Ian McLeod, Charles Ling, Boyu Wang

CVPR 2025 Unveil Inversion and Invariance in Flow Transformer for Versatile Image Editing Pengcheng Xu, Boyuan Jiang, Xiaobin Hu, Donghao Luo, Qingdong He, Jiangning Zhang, Chengjie Wang, Yunsheng Wu, Charles Ling, Boyu Wang

NeurIPS 2025 Versatile Transferable Unlearnable Example Generator Zhihao Li, Jiale Cai, Gezheng Xu, Hao Zheng, Qiuyue Li, Fan Zhou, Shichun Yang, Charles Ling, Boyu Wang

ICLR 2025 ZETA: Leveraging $z$-Order Curves for Efficient Top-$k$ Attention Qiuhao Zeng, Jerry Huang, Peng Lu, Gezheng Xu, Boxing Chen, Charles Ling, Boyu Wang

AAAI 2024 Generalizing Across Temporal Domains with Koopman Operators Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagné, Shichun Yang, Charles X. Ling, Boyu Wang

ICML 2024 Intersectional Unfairness Discovery Gezheng Xu, Qi Chen, Charles Ling, Boyu Wang, Changjian Shui

ICLR 2024 Latent Trajectory Learning for Limited Timestamps Under Distribution Shift over Time Qiuhao Zeng, Changjian Shui, Long-Kai Huang, Peng Liu, Xi Chen, Charles Ling, Boyu Wang

NeurIPS 2024 Learning from Noisy Labels via Conditional Distributionally Robust Optimization Hui Guo, Grace Y. Yi, Boyu Wang

ICLR 2024 Less or More from Teacher: Exploiting Trilateral Geometry for Knowledge Distillation Chengming Hu, Haolun Wu, Xuan Li, Chen Ma, Xi Chen, Boyu Wang, Jun Yan, Xue Liu

IJCAI 2024 Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations Nima Hosseini Dashtbayaz, Ghazal Farhani, Boyu Wang, Charles X. Ling

MLJ 2024 Secure and Fast Asynchronous Vertical Federated Learning via Cascaded Hybrid Optimization Ganyu Wang, Qingsong Zhang, Xiang Li, Boyu Wang, Bin Gu, Charles X. Ling

NeurIPS 2024 Towards Understanding Evolving Patterns in Sequential Data Qiuhao Zeng, Long-Kai Huang, Qi Chen, Charles Ling, Boyu Wang

NeurIPS 2023 A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning Ganyu Wang, Bin Gu, Qingsong Zhang, Xiang Li, Boyu Wang, Charles X. Ling

AAAI 2023 Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation Pengcheng Xu, Boyu Wang, Charles Ling

CVPR 2023 Dynamically Instance-Guided Adaptation: A Backward-Free Approach for Test-Time Domain Adaptive Semantic Segmentation Wei Wang, Zhun Zhong, Weijie Wang, Xi Chen, Charles Ling, Boyu Wang, Nicu Sebe

AAAI 2023 Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-Stationary Environment Qiuhao Zeng, Wei Wang, Fan Zhou, Charles Ling, Boyu Wang

JMLR 2023 Gap Minimization for Knowledge Sharing and Transfer Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Gezheng Xu, Christian Gagné, Eric Eaton

CVPR 2023 Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-Training Yuting He, Guanyu Yang, Rongjun Ge, Yang Chen, Jean-Louis Coatrieux, Boyu Wang, Shuo Li

NeurIPS 2023 Label Correction of Crowdsourced Noisy Annotations with an Instance-Dependent Noise Transition Model Hui Guo, Boyu Wang, Grace Yi

NeurIPSW 2023 Toward Open-Ended Embodied Tasks Solving Wei Wang, Dongqi Han, Xufang Luo, Yifei Shen, Charles Ling, Boyu Wang, Dongsheng Li

ICLR 2023 When Source-Free Domain Adaptation Meets Learning with Noisy Labels Li Yi, Gezheng Xu, Pengcheng Xu, Jiaqi Li, Ruizhi Pu, Charles Ling, Ian McLeod, Boyu Wang

ICML 2022 Fair Representation Learning Through Implicit Path Alignment Changjian Shui, Qi Chen, Jiaqi Li, Boyu Wang, Christian Gagné

CVPR 2022 On Learning Contrastive Representations for Learning with Noisy Labels Li Yi, Sheng Liu, Qi She, A. Ian McLeod, Boyu Wang

NeurIPS 2022 On Learning Fairness and Accuracy on Multiple Subgroups Changjian Shui, Gezheng Xu, Qi Chen, Jiaqi Li, Charles X. Ling, Tal Arbel, Boyu Wang, Christian Gagné

MLJ 2022 On the Benefits of Representation Regularization in Invariance Based Domain Generalization Changjian Shui, Boyu Wang, Christian Gagné

CVPR 2022 Weakly Supervised Object Localization as Domain Adaption Lei Zhu, Qi She, Qian Chen, Yunfei You, Boyu Wang, Yanye Lu

ICML 2021 Aggregating from Multiple Target-Shifted Sources Changjian Shui, Zijian Li, Jiaqi Li, Christian Gagné, Charles X Ling, Boyu Wang

AAAI 2021 Multi-Task Learning by Leveraging the Semantic Information Fan Zhou, Brahim Chaib-draa, Boyu Wang

AISTATS 2020 Deep Active Learning: Unified and Principled Method for Query and Training Changjian Shui, Fan Zhou, Christian Gagné, Boyu Wang

NeurIPS 2020 Distribution Matching for Crowd Counting Boyu Wang, Huidong Liu, Dimitris Samaras, Minh Hoai Nguyen

AAAI 2020 Efficient Projection-Free Online Methods with Stochastic Recursive Gradient Jiahao Xie, Zebang Shen, Chao Zhang, Boyu Wang, Hui Qian

NeurIPS 2020 Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting Jorge Mendez, Boyu Wang, Eric Eaton

IJCAI 2019 A Principled Approach for Learning Task Similarity in Multitask Learning Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné

AISTATS 2019 Multitask Metric Learning: Theory and Algorithm Boyu Wang, Hejia Zhang, Peng Liu, Zebang Shen, Joelle Pineau

NeurIPS 2019 Transfer Learning via Minimizing the Performance Gap Between Domains Boyu Wang, Jorge Mendez, Mingbo Cai, Eric Eaton

NeurIPS 2018 Sequence-to-Segment Networks for Segment Detection Zijun Wei, Boyu Wang, Minh Hoai Nguyen, Jianming Zhang, Zhe Lin, Xiaohui Shen, Radomir Mech, Dimitris Samaras

ECML-PKDD 2017 Boosting Based Multiple Kernel Learning and Transfer Regression for Electricity Load Forecasting Di Wu, Boyu Wang, Doina Precup, Benoit Boulet

WACV 2017 X-Ray Scattering Image Classification Using Deep Learning Boyu Wang, Kevin G. Yager, Dantong Yu, Minh Hoai

IJCAI 2016 Generalized Dictionary for Multitask Learning with Boosting Boyu Wang, Joelle Pineau

AAAI 2016 Multitask Generalized Eigenvalue Program Boyu Wang, Joelle Pineau, Borja Balle

AAAI 2015 Online Boosting Algorithms for Anytime Transfer and Multitask Learning Boyu Wang, Joelle Pineau