Xingjian Li
17 papers · 2019–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (11) π Conference Polyglot (8) π Academic Marathon (6) π Interdisciplinary Bridge π Renaissance Researcher (6)
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Academic Marathon
(6)
π
Cross-Pollinator
(11)
π
Renaissance Researcher
(6)
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Century Club
(16)
π₯
Unstoppable
(7)
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Keyword Collector
(77)
Conferences
AAAI (7)
CVPR (3)
ICLR (2)
ICCV (1)
ICML (1)
IJCAI (1)
JMLR (1)
NAACL (1)
Top co-authors
Keywords
domain adaptation
(3)
self-supervised learning
(2)
deep neural network
(2)
active learning
(2)
transfer learning
(2)
feature importance
(2)
cryo-electron tomography
(2)
noise stability
(2)
image segmentation
(1)
semantic segmentation
(1)
representation learning
(1)
temporal modeling
(1)
feature extraction
(1)
density estimation
(1)
adversarial robustness
(1)
3d reconstruction
(1)
knowledge distillation
(1)
vision transformer
(1)
video understanding
(1)
optimal transport
(1)
Papers
DiLO: Disentangled Latent Optimization for Learning Shape and Deformation in Grouped Deforming 3D Objects
AAAI 2026
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
BOE-ViT: Boosting Orientation Estimation with Equivariance in Self-Supervised 3D Subtomogram Alignment
CVPR 2025
GβLIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint)
AAAI 2024
Geometry-Guided Conditional Adaptation for Surrogate Models of Large-Scale 3D PDEs on Arbitrary Geometries
IJCAI 2024
Deep Active Learning with Noise Stability
AAAI 2024
Towards Inadequately Pre-trained Models in Transfer Learning
ICCV 2023
InterpretDL: Explaining Deep Models in PaddlePaddle
JMLR 2022
Boosting Active Learning via Improving Test Performance
AAAI 2022
OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport
AAAI 2021
Temporal Relational Modeling with Self-Supervision for Action Segmentation
AAAI 2021
Noise Stability Regularization for Improving BERT Fine-tuning
NAACL 2021
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
CVPR 2021
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr
ICML 2020
Pay Attention to Features, Transfer Learn Faster CNNs
ICLR 2020
DELTA: DEEP LEARNING TRANSFER USING FEATURE MAP WITH ATTENTION FOR CONVOLUTIONAL NETWORKS
ICLR 2019