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Lu Yu

29 papers · 2018–2026 · 11 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ πŸƒ Academic Marathon (7) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) 🐝 Cross-Pollinator (6)
🐝 Cross-Pollinator (6) 🌈 Renaissance Researcher (10) πŸ—ΊοΈ Taxonomy Completionist (65) πŸ† Keyword Champion (2) πŸ† Grand Slam πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (135) ⚑ Prolific Year (5) πŸ’Ž Century Club (28) πŸ”₯ 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)

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