Yang Lu

Break the Tie: Learning Cluster-Customized Category Relationships for Categorical Data Clustering AAAI 2026 CUE: Concept-Aware Multi-Label Expansion to Mitigate Concept Confusion in Long-Tailed Learning CVPR 2026 Decision Boundary-aware Generation for Long-tailed Learning CVPR 2026 Direct Segmentation without Logits Optimization for Training-Free Open-Vocabulary Semantic Segmentation CVPR 2026 Fine-Tuning Impairs the Balancedness of Foundation Models in Long-tailed Personalized Federated Learning CVPR 2026 Joint Implicit and Explicit Language Learning for Pedestrian Attribute Recognition AAAI 2026 Polarization State Tracing for Reflection Removal and Color-Consistent Reconstruction CVPR 2026 Putting Captions to the Test: Evaluating Video Caption Quality through Multiple-Choice Question Answering ACL 2026 SECOS: Semantic Capture for Rigorous Classification in Open-World Semi-Supervised Learning CVPR 2026 Target Refocusing via Attention Redistribution for Open-Vocabulary Semantic Segmentation: An Explainability Perspective AAAI 2026 Asynchronous Federated Clustering with Unknown Number of Clusters AAAI 2025 MaskViM: Domain Generalized Semantic Segmentation with State Space Models AAAI 2025 Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch CVPR 2025 PRO-VPT: Distribution-Adaptive Visual Prompt Tuning via Prompt Relocation ICCV 2025 Transparent Reference-free Automated Evaluation of Open-Ended User Survey Responses EMNLP 2025 Visual Evidence Prompting Mitigates Hallucinations in Large Vision-Language Models ACL 2025 Wavelet and Prototype Augmented Query-based Transformer for Pixel-level Surface Defect Detection CVPR 2025 You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data ICCV 2025 YuLan-Mini: Pushing the Limits of Open Data-efficient Language Model ACL 2025 CLIP-Guided Federated Learning on Heterogeneity and Long-Tailed Data AAAI 2024 Dynamically Anchored Prompting for Task-Imbalanced Continual Learning IJCAI 2024 Feature Fusion from Head to Tail for Long-Tailed Visual Recognition AAAI 2024 Federated Learning with Extremely Noisy Clients via Negative Distillation AAAI 2024 Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition NeurIPS 2024 Relationship Prompt Learning is Enough for Open-Vocabulary Semantic Segmentation NeurIPS 2024 Fast and Accurate Binary Neural Networks Based on Depth-Width Reshaping AAAI 2023 Label-Noise Learning with Intrinsically Long-Tailed Data ICCV 2023 Long-Tailed Visual Recognition via Self-Heterogeneous Integration With Knowledge Excavation CVPR 2023 Embedding Adaptation Network with Transformer for Few-Shot Action Recognition ACML 2022 Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features IJCAI 2022 Long-Tailed Visual Recognition via Gaussian Clouded Logit Adjustment CVPR 2022 Toward Corpus Size Requirements for Training and Evaluating Depression Risk Models Using Spoken Language Interspeech 2022 Optimizing Speech-Input Length for Speaker-Independent Depression Classification Interspeech 2019 DeepPINK: reproducible feature selection in deep neural networks NeurIPS 2018 Learning Generative ConvNets via Multi-Grid Modeling and Sampling CVPR 2018 Dynamic Weighted Majority for Incremental Learning of Imbalanced Data Streams with Concept Drift IJCAI 2017 A Theory of Generative ConvNet ICML 2016 Online Object Tracking, Learning and Parsing with And-Or Graphs CVPR 2014