← Authors

Xin Geng

80 papers · 2014–2026 · 10 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌍 Conference Polyglot (10) πŸ—ΊοΈ Taxonomy Completionist (18) πŸƒ Academic Marathon (12) 🌈 Renaissance Researcher (6) 🐝 Cross-Pollinator (12) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🏠 Conference Loyalist (21) 🌟 Keyword Trendsetter Combo (6) 🀝 Dynamic Duo (28) πŸ‘‘ Triple Crown πŸ† Keyword Champion (3) πŸ† Grand Slam πŸ”¬ Deep Specialist (26) 🧬 Topic Evolution πŸ”₯ Unstoppable (13) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer ⚑ Prolific Year (16) ❓ The Questioner πŸ’Ž Century Club (75) πŸ—ƒοΈ Keyword Collector (59)

Conferences

IJCAI (21) AAAI (15) ICML (15) NIPS (11) CVPR (9) ICCV (3) ICLR (2) WACV (2) EMNLP (1) UAI (1)

Top co-authors

Ning Xu (28) Xu Yang (19) Jing Wang (13) Jiaqi Lv (13) Shiyu Xia (8) Congyu Qiao (8) Fu Feng (6) Baining Guo (5) Qiufeng Wang (5) Yucheng Xie (4)

Keywords

label distribution learning (19) knowledge distillation (13) model compression (11) transfer learning (9) label enhancement (9) label distribution (7) model initialization (7) partial label learning (7) weakly supervised learning (6) multi-label classification (6) multi-label learning (6) representation learning (5) vision transformer (5) partial-label learning (4) reinforcement learning (4) diffusion model (4) variable-sized model (4) multi-class classification (3) knowledge transfer (3) multi-output regression (3)

Papers

DivControl: Knowledge Diversion for Controllable Image Generation AAAI 2026
Stratified Knowledge-Density Super-Network for Scalable Vision Transformers AAAI 2026
Learngene: Inheritable β€˜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