Lu Yin
27 papers · 2018–2026 · 11 conferences · across top CS/AI conferences
Achievements
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(38)
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Keyword Pioneer
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Triple Crown
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Dynamic Duo
(18)
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Unstoppable
(6)
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Century Club
(26)
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Keyword Collector
(81)
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The Questioner
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Prolific Year
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Conferences
ICML (7)
ICLR (4)
NIPS (4)
INTERSPEECH (3)
AAAI (2)
EMNLP (2)
ACL (1)
ACML (1)
ICCV (1)
IJCAI (1)
UAI (1)
Top co-authors
Keywords
model compression
(6)
neural network pruning
(3)
motion capture
(3)
sparse training
(2)
dynamic sparse training
(2)
deep metric learning
(2)
dynamic sparsity
(2)
inference acceleration
(2)
active learning
(2)
vision transformer
(1)
knowledge distillation
(1)
motion estimation
(1)
in-context learning
(1)
network pruning
(1)
semantic segmentation
(1)
speech separation
(1)
neural network sparsification
(1)
pose estimation
(1)
medical image segmentation
(1)
sensor fusion
(1)
Papers
Improving Sparse IMU-based Motion Capture with Motion Label Smoothing
AAAI 2026
TODO: Enhancing LLM Alignment with Ternary Preferences
ICLR 2025
Outlier-weighed Layerwise Sampling for LLM Fine-tuning
ACL 2025
MagShield: Towards Better Robustness in Sparse Inertial Motion Capture Under Magnetic Disturbances
ICCV 2025
SEBRA : Debiasing through Self-Guided Bias Ranking
ICLR 2025
Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN
ICLR 2025
From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications
ICML 2025
LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning
ICML 2025
FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping
EMNLP 2024
NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization
ICLR 2024
MSRS: Training Multimodal Speech Recognition Models from Scratch with Sparse Mask Optimization
INTERSPEECH 2024
Dynamic Data Pruning for Automatic Speech Recognition
INTERSPEECH 2024
Advancing Dynamic Sparse Training by Exploring Optimization Opportunities
ICML 2024
Junk DNA Hypothesis: Pruning Small Pre-Trained Weights $\textitIrreversibly$ and $\textitMonotonically$ Impairs βDifficult" Downstream Tasks in LLMs
ICML 2024
Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity
ICML 2024
Accurate and Steady Inertial Pose Estimation through Sequence Structure Learning and Modulation
NIPS 2024
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation
NIPS 2024
Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning
EMNLP 2024
Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost
AAAI 2023
Are Large Kernels Better Teachers than Transformers for ConvNets?
ICML 2023
Dynamic Sparsity Is Channel-Level Sparsity Learner
NIPS 2023
Superposing many tickets into one: A performance booster for sparse neural network training
UAI 2022
Hierarchical Semantic Segmentation using Psychometric Learning
ACML 2021
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
NIPS 2021
Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training
ICML 2021
Beyond Labels: Knowledge Elicitation using Deep Metric Learning and Psychometric Testing
IJCAI 2020
Multi-talker Speech Separation Based on Permutation Invariant Training and Beamforming
INTERSPEECH 2018