Lu, Yang

32 publications

AAAI 2025 Asynchronous Federated Clustering with Unknown Number of Clusters Yunfan Zhang, Yiqun Zhang, Yang Lu, Mengke Li, Xi Chen, Yiu-ming Cheung
MLJ 2025 FediOS: Decoupling Orthogonal Subspaces for Personalization in Feature-Skew Federated Learning Lingzhi Gao, Zexi Li, Xinyi Shang, Yang Lu, Chao Wu
AAAI 2025 MaskViM: Domain Generalized Semantic Segmentation with State Space Models Jiahao Li, Yang Lu, Yuan Xie, Yanyun Qu
CVPR 2025 Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch Yijie Liu, Xinyi Shang, Yiqun Zhang, Yang Lu, Chen Gong, Jing-Hao Xue, Hanzi Wang
NeurIPS 2025 NeurIPT: Foundation Model for Neural Interfaces Zitao Fang, Chenxuan Li, Zhou Hongting, Shuyang Yu, Guodong Du, Ashwaq Qasem, Yang Lu, Jing Li, Junsong Zhang, Sim Kuan Goh
ICCV 2025 PRO-VPT: Distribution-Adaptive Visual Prompt Tuning via Prompt Relocation Chikai Shang, Mengke Li, Yiqun Zhang, Zhen Chen, Jinlin Wu, Fangqing Gu, Yang Lu, Yiu-Ming Cheung
NeurIPS 2025 Progressive Data Dropout: An Embarrassingly Simple Approach to Train Faster M S Shriram, Xinyue Hao, Shihao Hou, Yang Lu, Laura Sevilla-Lara, Anurag Arnab, Shreyank N Gowda
CVPRW 2025 RGB Photo Enhancement on Mobile GPUs, Mobile AI 2025 Challenge: Report Andrey Ignatov, Georgy Perevozchikov, Radu Timofte, Wu Pan, Song Wang, Dong Zhang, Zhao Ran, Xiaochen Li, Shichang Ju, Diankai Zhang, Biao Wu, Shaoli Liu, Si Gao, Chengjian Zheng, Ning Wang, Yi Feng, Cailu Wan, Xiangji Wu, Hailong Yan, Ao Li, Xiangtao Zhang, Zhe Liu, Ce Zhu, Le Zhang, Jinjie Zhou, Yang Lu, Feng Duo, Runhua Deng, Xuanyu Chen, Shuhui Xie, Guojie Xiao, Zhifeng Wang, Long Peng, Aiwen Jiang
NeurIPS 2025 Unlocker: Disentangle the Deadlock of Learning Between Label-Noisy and Long-Tailed Data Chen Shu, HongJun Xu, Ruichi Zhang, Mengke Li, Yonggang Zhang, Yang Lu, Bo Han, Yiu-ming Cheung, Hanzi Wang
CVPR 2025 Wavelet and Prototype Augmented Query-Based Transformer for Pixel-Level Surface Defect Detection Feng Yan, Xiaoheng Jiang, Yang Lu, Jiale Cao, Dong Chen, Mingliang Xu
ICCV 2025 You Are Your Own Best Teacher: Achieving Centralized-Level Performance in Federated Learning Under Heterogeneous and Long-Tailed Data Shanshan Yan, Zexi Li, Chao Wu, Meng Pang, Yang Lu, Yan Yan, Hanzi Wang
AAAI 2024 CLIP-Guided Federated Learning on Heterogeneity and Long-Tailed Data Jiangming Shi, Shanshan Zheng, Xiangbo Yin, Yang Lu, Yuan Xie, Yanyun Qu
IJCAI 2024 Dynamically Anchored Prompting for Task-Imbalanced Continual Learning Chenxing Hong, Yan Jin, Zhiqi Kang, Yizhou Chen, Mengke Li, Yang Lu, Hanzi Wang
AAAI 2024 Feature Fusion from Head to Tail for Long-Tailed Visual Recognition Mengke Li, Zhikai Hu, Yang Lu, Weichao Lan, Yiu-ming Cheung, Hui Huang
AAAI 2024 Federated Learning with Extremely Noisy Clients via Negative Distillation Yang Lu, Lin Chen, Yonggang Zhang, Yiliang Zhang, Bo Han, Yiu-ming Cheung, Hanzi Wang
NeurIPS 2024 Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition Mengke Li, Ye Liu, Yang Lu, Yiqun Zhang, Yiu-ming Cheung, Hui Huang
NeurIPS 2024 Relationship Prompt Learning Is Enough for Open-Vocabulary Semantic Segmentation Jiahao Li, Yang Lu, Yuan Xie, Yanyun Qu
AAAI 2023 Fast and Accurate Binary Neural Networks Based on Depth-Width Reshaping Ping Xue, Yang Lu, Jingfei Chang, Xing Wei, Zhen Wei
ICCV 2023 Label-Noise Learning with Intrinsically Long-Tailed Data Yang Lu, Yiliang Zhang, Bo Han, Yiu-ming Cheung, Hanzi Wang
CVPR 2023 Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation Yan Jin, Mengke Li, Yang Lu, Yiu-ming Cheung, Hanzi Wang
ACML 2022 Embedding Adaptation Network with Transformer for Few-Shot Action Recognition Rongrong Jin, Xiao Wang, Guangge Wang, Yang Lu, Hai-Miao Hu, Hanzi Wang
IJCAI 2022 Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features Xinyi Shang, Yang Lu, Gang Huang, Hanzi Wang
CVPR 2022 Long-Tailed Visual Recognition via Gaussian Clouded Logit Adjustment Mengke Li, Yiu-ming Cheung, Yang Lu
ECML-PKDD 2021 Small-Vote Sample Selection for Label-Noise Learning Youze Xu, Yan Yan, Jing-Hao Xue, Yang Lu, Hanzi Wang
WACV 2019 Learning Generator Networks for Dynamic Patterns Tian Han, Yang Lu, Jiawen Wu, Xianglei Xing, Ying Nian Wu
AAAI 2018 Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching Jianwen Xie, Yang Lu, Ruiqi Gao, Ying Nian Wu
NeurIPS 2018 DeepPINK: Reproducible Feature Selection in Deep Neural Networks Yang Lu, Yingying Fan, Jinchi Lv, William Stafford Noble
AAAI 2017 Alternating Back-Propagation for Generator Network Tian Han, Yang Lu, Song-Chun Zhu, Ying Nian Wu
IJCAI 2017 Dynamic Weighted Majority for Incremental Learning of Imbalanced Data Streams with Concept Drift Yang Lu, Yiu-ming Cheung, Yuan Yan Tang
ICML 2016 A Theory of Generative ConvNet Jianwen Xie, Yang Lu, Song-Chun Zhu, Yingnian Wu
AAAI 2016 Learning FRAME Models Using CNN Filters Yang Lu, Song-Chun Zhu, Ying Nian Wu
CVPR 2014 Online Object Tracking, Learning and Parsing with And-or Graphs Yang Lu, Tianfu Wu, Song Chun Zhu