Xin Geng

DivControl: Knowledge Diversion for Controllable Image Generation AAAI 2026 Stratified Knowledge-Density Super-Network for Scalable Vision Transformers AAAI 2026 Learngene: Inheritable ‘Genes’ in Intelligent Agents (Abstract Reprint) AAAI 2026 Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge AAAI 2026 MageBench: Bridging Large Multimodal Models to Agents WACV 2026 Adaptive-Learngene: Continual Expansion and Task-Aware Selection of Learngenes for Dynamic Environments AAAI 2026 Redefining <Creative> in Dictionary: Towards an Enhanced Semantic Understanding of Creative Generation CVPR 2025 WAVE: Weight Templates for Adaptive Initialization of Variable-sized Models CVPR 2025 Learngene Tells You How to Customize: Task-Aware Parameter Initialization at Flexible Scales ICML 2025 KIND: Knowledge Integration and Diversion for Training Decomposable Models ICML 2025 Progressively Label Enhancement for Large Language Model Alignment ICML 2025 Fast Large Language Model Collaborative Decoding via Speculation ICML 2025 VADIS: Investigating Inter-View Representation Biases for Multi-View Partial Multi-Label Learning UAI 2025 Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning IJCAI 2025 Inheriting Generalized Learngene for Efficient Knowledge Transfer across Multiple Tasks AAAI 2025 Selective Label Enhancement Learning for Test-Time Adaptation ICLR 2025 One-Shot Knowledge Transfer for Scalable Person Re-Identification ICCV 2025 Improved Noise Schedule for Diffusion Training ICCV 2025 Mimic In-Context Learning for Multimodal Tasks CVPR 2025 What Makes Partial-Label Learning Algorithms Effective? NIPS 2024 LIVE: Learnable In-Context Vector for Visual Question Answering NIPS 2024 Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers NIPS 2024 Linearly Decomposing and Recomposing Vision Transformers for Diverse-Scale Models NIPS 2024 Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation NIPS 2024 Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms NIPS 2024 Building Variable-Sized Models via Learngene Pool AAAI 2024 Transformer as Linear Expansion of Learngene AAAI 2024 Learning with Partial-Label and Unlabeled Data: A Uniform Treatment for Supervision Redundancy and Insufficiency ICML 2024 Correlation-Induced Label Prior for Semi-Supervised Multi-Label Learning ICML 2024 ULAREF: A Unified Label Refinement Framework for Learning with Inaccurate Supervision ICML 2024 Vision Transformers as Probabilistic Expansion from Learngene ICML 2024 Aligned Objective for Soft-Pseudo-Label Generation in Supervised Learning ICML 2024 Exploiting Multi-Label Correlation in Label Distribution Learning IJCAI 2024 Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models IJCAI 2024 Unsupervised Graphic Layout Grouping With Transformers WACV 2024 Unreliable Partial Label Learning with Recursive Separation IJCAI 2023 FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning ICML 2023 Progressive Purification for Instance-Dependent Partial Label Learning ICML 2023 Decompositional Generation Process for Instance-Dependent Partial Label Learning ICLR 2023 Efficient Diffusion Training via Min-SNR Weighting Strategy ICCV 2023 Towards Effective Visual Representations for Partial-Label Learning CVPR 2023 Learning From Biased Soft Labels NIPS 2023 Imbalanced Label Distribution Learning AAAI 2023 Exploring Diverse In-Context Configurations for Image Captioning NIPS 2023 Revisiting Pseudo-Label for Single-Positive Multi-Label Learning ICML 2023 Learngene: From Open-World to Your Learning Task AAAI 2022 One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement NIPS 2022 Fusion Label Enhancement for Multi-Label Learning IJCAI 2022 Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning IJCAI 2022 Instance-Dependent Partial Label Learning NIPS 2021 Learn the Highest Label and Rest Label Description Degrees IJCAI 2021 Video Summarization via Label Distributions Dual-Reward IJCAI 2021 Label Distribution Learning Machine ICML 2021 Provably Consistent Partial-Label Learning NIPS 2020 Progressive Identification of True Labels for Partial-Label Learning ICML 2020 Variational Label Enhancement ICML 2020 Partial Multi-Label Learning with Label Distribution AAAI 2020 Label Distribution for Learning with Noisy Labels IJCAI 2020 Label Enhancement for Label Distribution Learning via Prior Knowledge IJCAI 2020 Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition CVPR 2020 Weakly Supervised Multi-Label Learning via Label Enhancement IJCAI 2019 Discrete Binary Coding based Label Distribution Learning IJCAI 2019 Partial Label Learning via Label Enhancement AAAI 2019 Hierarchical Classification Based on Label Distribution Learning AAAI 2019 Theoretical Analysis of Label Distribution Learning AAAI 2019 Multi-Person Pose Estimation With Enhanced Channel-Wise and Spatial Information CVPR 2019 Soft Facial Landmark Detection by Label Distribution Learning AAAI 2019 Classification with Label Distribution Learning IJCAI 2019 Binary Coding based Label Distribution Learning IJCAI 2018 Age Estimation Using Expectation of Label Distribution Learning IJCAI 2018 Label Embedding Based on Multi-Scale Locality Preservation IJCAI 2018 Label Enhancement for Label Distribution Learning IJCAI 2018 Ordinal Zero-Shot Learning IJCAI 2017 Sense Beauty by Label Distribution Learning IJCAI 2017 Logistic Boosting Regression for Label Distribution Learning CVPR 2016 Emotion Distribution Learning from Texts EMNLP 2016 Sparsity Conditional Energy Label Distribution Learning for Age Estimation IJCAI 2016 Pre-release Prediction of Crowd Opinion on Movies by Label Distribution Learning IJCAI 2015 Multilabel Ranking with Inconsistent Rankers CVPR 2014 Head Pose Estimation Based on Multivariate Label Distribution CVPR 2014