Lu Yu
29 papers · 2018–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (11) π Cross-Pollinator (6)
π
Cross-Pollinator
(6)
π
Renaissance Researcher
(10)
πΊοΈ
Taxonomy Completionist
(65)
π
Keyword Champion
(2)
π
Grand Slam
π
Conference Pioneer
ποΈ
Keyword Collector
(135)
β‘
Prolific Year
(5)
π
Century Club
(28)
π₯
Unstoppable
(8)
Conferences
CVPR (7)
NIPS (5)
AAAI (3)
IJCAI (3)
ACL (2)
ICCV (2)
ICLR (2)
ICML (2)
AISTATS (1)
COLT (1)
EMNLP (1)
Top co-authors
Keywords
neural radiance field
(4)
knowledge distillation
(4)
novel view synthesis
(3)
continual learning
(3)
generative adversarial network
(2)
concept bottleneck
(2)
3d generation
(2)
transfer learning
(2)
catastrophic forgetting
(2)
volume rendering
(2)
adversarial robustness
(2)
concept alignment
(2)
feature learning
(1)
vision transformer
(1)
contrastive learning
(1)
semi-supervised learning
(1)
metric learning
(1)
3d reconstruction
(1)
neural network pruning
(1)
non-convex optimization
(1)
Papers
Improving Autoformalization Using Direct Dependency Retrieval
ACL 2026
Language Guided Concept Bottleneck Models for Interpretable Continual Learning
CVPR 2025
Semi-supervised Concept Bottleneck Models
ICCV 2025
Locality Preserving Markovian Transition for Instance Retrieval
ICML 2025
MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models
ICML 2025
GIFStream: 4D Gaussian-based Immersive Video with Feature Stream
CVPR 2025
Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited
ICLR 2024
Fine-Grained Knowledge Selection and Restoration for Non-exemplar Class Incremental Learning
AAAI 2024
NeRFCodec: Neural Feature Compression Meets Neural Radiance Fields for Memory-Efficient Scene Representation
CVPR 2024
Towards Multi-dimensional Explanation Alignment for Medical Classification
NIPS 2024
Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models
NIPS 2024
SteerNeRF: Accelerating NeRF Rendering via Smooth Viewpoint Trajectory
CVPR 2023
Volume Feature Rendering for Fast Neural Radiance Field Reconstruction
NIPS 2023
Adversarial Textual Robustness on Visual Dialog
ACL 2023
X-Pruner: eXplainable Pruning for Vision Transformers
CVPR 2023
VeRi3D: Generative Vertex-based Radiance Fields for 3D Controllable Human Image Synthesis
ICCV 2023
Quality-agnostic Image Captioning to Safely Assist People with Vision Impairment
IJCAI 2023
SAIL: Self-Augmented Graph Contrastive Learning
AAAI 2022
Mirror Descent Strikes Again: Optimal Stochastic Convex Optimization under Infinite Noise Variance
COLT 2022
Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data
ICLR 2022
False Discovery Rates in Biological Networks
AISTATS 2021
An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias
NIPS 2021
Semantic Drift Compensation for Class-Incremental Learning
CVPR 2020
Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases
EMNLP 2020
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs
NIPS 2020
Improving Cross-lingual Entity Alignment via Optimal Transport
IJCAI 2019
Learning Metrics From Teachers: Compact Networks for Image Embedding
CVPR 2019
Multi-Order Attentive Ranking Model for Sequential Recommendation
AAAI 2019
Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference
IJCAI 2018