Xingjian Li
19 papers · 2019–2026 · 9 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
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (36)
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(85)
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Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
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Renaissance Researcher
(5)
Top co-authors
Research topics
Deep Learning
(15)
Machine Learning
(13)
Learning Types Β· Machine Learning
(8)
Artificial Intelligence
(6)
Architectures
(6)
Learning Types Β· Deep Learning
(6)
Application Areas
(5)
Core Methods
(5)
Computer Vision
(4)
Learning Paradigms
(4)
Techniques
(4)
Analysis
(3)
Optimization & Theory
(3)
Core AI
(2)
Healthcare & Medicine
(1)
Keywords
transfer learning
(4)
convolutional neural network
(3)
self-supervised learning
(3)
domain adaptation
(3)
knowledge distillation
(2)
active learning
(2)
noise stability
(2)
deep neural network
(2)
pre-trained model
(2)
cryo-electron tomography
(2)
feature importance
(2)
neural ordinary differential equation
(2)
image classification
(2)
feature extraction
(1)
semantic segmentation
(1)
temporal modeling
(1)
3d reconstruction
(1)
generative modeling
(1)
adversarial robustness
(1)
attention mechanism
(1)
Papers
DiLO: Disentangled Latent Optimization for Learning Shape and Deformation in Grouped Deforming 3D Objects
AAAI 2026
MedLIME: A Distribution-Aligned and Evidence-Supported Framework for Medical Saliency Explanations
CVPR 2026
Zero-Shot Function Encoder-Based Differentiable Predictive Control
L4DC 2026
BOE-ViT: Boosting Orientation Estimation with Equivariance in Self-Supervised 3D Subtomogram Alignment
CVPR 2025
DiffCAM: Data-Driven Saliency Maps by Capturing Feature Differences
CVPR 2025
Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling
AAAI 2025
Deep Active Learning with Noise Stability
AAAI 2024
Geometry-Guided Conditional Adaptation for Surrogate Models of Large-Scale 3D PDEs on Arbitrary Geometries
IJCAI 2024
GβLIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint)
AAAI 2024
Towards Inadequately Pre-trained Models in Transfer Learning
ICCV 2023
Boosting Active Learning via Improving Test Performance
AAAI 2022
InterpretDL: Explaining Deep Models in PaddlePaddle
JMLR 2022
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
CVPR 2021
Noise Stability Regularization for Improving BERT Fine-tuning
NAACL 2021
OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport
AAAI 2021
Temporal Relational Modeling with Self-Supervision for Action Segmentation
AAAI 2021
Pay Attention to Features, Transfer Learn Faster CNNs
ICLR 2020
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr
ICML 2020
DELTA: DEEP LEARNING TRANSFER USING FEATURE MAP WITH ATTENTION FOR CONVOLUTIONAL NETWORKS
ICLR 2019