Xin Geng
86 papers · 2014–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+17 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (98) π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Gold π Academic Marathon Β· Half π£ Hot Topic Early Bird
π
Conference Loyalist
(21)
π
Grand Slam
π
Triple Crown
π¬
Deep Specialist
(31)
π€
Dynamic Duo
(28)
π§¬
Topic Evolution
π
Keyword Trendsetter Combo
(6)
π§
Keyword Pioneer
π
Keyword Champion
(3)
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Silver
β
The Questioner
β‘
Prolific Year Β· Prolific
π
Conference Pioneer
π
Century Club Β· Silver
π
Trend Setter
ποΈ
Keyword Collector
(327)
Venues
Top co-authors
Research topics
Machine Learning
(72)
Learning Types Β· Machine Learning
(48)
Core Methods
(37)
Deep Learning
(34)
Artificial Intelligence
(21)
Computer Vision
(19)
Application Areas
(19)
Learning Types Β· Deep Learning
(18)
Architectures
(15)
Core AI
(14)
Optimization & Theory
(10)
Analysis
(9)
Learning Paradigms
(9)
Models
(7)
Techniques
(7)
Keywords
label distribution learning
(19)
knowledge distillation
(14)
model compression
(11)
partial label learning
(11)
label enhancement
(10)
transfer learning
(9)
model initialization
(8)
weakly supervised learning
(7)
label distribution
(7)
multi-label classification
(6)
multi-label learning
(6)
vision transformer
(6)
diffusion model
(6)
knowledge transfer
(5)
representation learning
(5)
label disambiguation
(4)
reinforcement learning
(4)
label correlation
(4)
variable-sized model
(4)
few-shot learning
(3)
Papers
Adaptive-Learngene: Continual Expansion and Task-Aware Selection of Learngenes for Dynamic Environments
AAAI 2026
A Unified Framework for Knowledge Transfer in Bidirectional Model Scaling
CVPR 2026
Breaking Semantic Boundaries: Distribution-Guided Semantic Exploration for Creative Generation
CVPR 2026
DivControl: Knowledge Diversion for Controllable Image Generation
AAAI 2026
Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge
AAAI 2026
FedHarmony: Harmonizing Heterogeneous Label Correlations in Federated Multi-Label Learning
CVPR 2026
FINE: Factorizing Knowledge for Initialization of Variable-sized Diffusion Models
CVPR 2026
Learngene: Inheritable βGenesβ in Intelligent Agents (Abstract Reprint)
AAAI 2026
MageBench: Bridging Large Multimodal Models to Agents
WACV 2026
Model Merging in the Essential Subspace
CVPR 2026
Stratified Knowledge-Density Super-Network for Scalable Vision Transformers
AAAI 2026
Unlocking Pre-trained Weights: Parameter Inheritance for Zero-Shot Initialization
CVPR 2026
Fast Large Language Model Collaborative Decoding via Speculation
ICML 2025
Improved Noise Schedule for Diffusion Training
ICCV 2025
Inheriting Generalized Learngene for Efficient Knowledge Transfer across Multiple Tasks
AAAI 2025
KIND: Knowledge Integration and Diversion for Training Decomposable Models
ICML 2025
Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning
IJCAI 2025
Learngene Tells You How to Customize: Task-Aware Parameter Initialization at Flexible Scales
ICML 2025
Mimic In-Context Learning for Multimodal Tasks
CVPR 2025
One-Shot Knowledge Transfer for Scalable Person Re-Identification
ICCV 2025
Progressively Label Enhancement for Large Language Model Alignment
ICML 2025
Redefining <Creative> in Dictionary: Towards an Enhanced Semantic Understanding of Creative Generation
CVPR 2025
Selective Label Enhancement Learning for Test-Time Adaptation
ICLR 2025
VADIS: Investigating Inter-View Representation Biases for Multi-View Partial Multi-Label Learning
UAI 2025
WAVE: Weight Templates for Adaptive Initialization of Variable-sized Models
CVPR 2025
Aligned Objective for Soft-Pseudo-Label Generation in Supervised Learning
ICML 2024
Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms
NeurIPS 2024
Building Variable-Sized Models via Learngene Pool
AAAI 2024
Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers
NeurIPS 2024
Correlation-Induced Label Prior for Semi-Supervised Multi-Label 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
Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation
NeurIPS 2024
Learning with Partial-Label and Unlabeled Data: A Uniform Treatment for Supervision Redundancy and Insufficiency
ICML 2024
Linearly Decomposing and Recomposing Vision Transformers for Diverse-Scale Models
NeurIPS 2024
LIVE: Learnable In-Context Vector for Visual Question Answering
NeurIPS 2024
Transformer as Linear Expansion of Learngene
AAAI 2024
ULAREF: A Unified Label Refinement Framework for Learning with Inaccurate Supervision
ICML 2024
Unsupervised Graphic Layout Grouping With Transformers
WACV 2024
Vision Transformers as Probabilistic Expansion from Learngene
ICML 2024
What Makes Partial-Label Learning Algorithms Effective?
NeurIPS 2024
Decompositional Generation Process for Instance-Dependent Partial Label Learning
ICLR 2023
Efficient Diffusion Training via Min-SNR Weighting Strategy
ICCV 2023
Exploring Diverse In-Context Configurations for Image Captioning
NeurIPS 2023
FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning
ICML 2023
Imbalanced Label Distribution Learning
AAAI 2023
Learning From Biased Soft Labels
NeurIPS 2023
Progressive Purification for Instance-Dependent Partial Label Learning
ICML 2023
Revisiting Pseudo-Label for Single-Positive Multi-Label Learning
ICML 2023
Towards Effective Visual Representations for Partial-Label Learning
CVPR 2023
Unreliable Partial Label Learning with Recursive Separation
IJCAI 2023
Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning
IJCAI 2022
Fusion Label Enhancement for Multi-Label Learning
IJCAI 2022
Learngene: From Open-World to Your Learning Task
AAAI 2022
One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement
NeurIPS 2022
Instance-Dependent Partial Label Learning
NeurIPS 2021
Label Distribution Learning Machine
ICML 2021
Learn the Highest Label and Rest Label Description Degrees
IJCAI 2021
Video Summarization via Label Distributions Dual-Reward
IJCAI 2021
Label Distribution for Learning with Noisy Labels
IJCAI 2020
Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition
CVPR 2020
Label Enhancement for Label Distribution Learning via Prior Knowledge
IJCAI 2020
Partial Multi-Label Learning with Label Distribution
AAAI 2020
Progressive Identification of True Labels for Partial-Label Learning
ICML 2020
Provably Consistent Partial-Label Learning
NeurIPS 2020
Variational Label Enhancement
ICML 2020
Classification with Label Distribution Learning
IJCAI 2019
Discrete Binary Coding based Label Distribution Learning
IJCAI 2019
Hierarchical Classification Based on Label Distribution Learning
AAAI 2019
Multi-Person Pose Estimation With Enhanced Channel-Wise and Spatial Information
CVPR 2019
Partial Label Learning via Label Enhancement
AAAI 2019
Soft Facial Landmark Detection by Label Distribution Learning
AAAI 2019
Theoretical Analysis of Label Distribution Learning
AAAI 2019
Weakly Supervised Multi-Label Learning via Label Enhancement
IJCAI 2019
Age Estimation Using Expectation of Label Distribution Learning
IJCAI 2018
Binary Coding based 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
Emotion Distribution Learning from Texts
EMNLP 2016
Logistic Boosting Regression for Label Distribution Learning
CVPR 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
Head Pose Estimation Based on Multivariate Label Distribution
CVPR 2014
Multilabel Ranking with Inconsistent Rankers
CVPR 2014