Ling, Charles

22 publications

ICLR 2025 Event-Driven Online Vertical Federated Learning Ganyu Wang, Boyu Wang, Bin Gu, Charles Ling
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
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
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
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
ICLR 2024 Learning No-Regret Sparse Generalized Linear Models with Varying Observation(s) Diyang Li, Charles Ling, Zhiqiang Xu, Huan Xiong, Bin Gu
NeurIPS 2024 Towards Understanding Evolving Patterns in Sequential Data Qiuhao Zeng, Long-Kai Huang, Qi Chen, Charles Ling, Boyu Wang
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
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 2015 A New Generalized Error Path Algorithm for Model Selection Bin Gu, Charles Ling