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Lu Yin

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

Achievements

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+11 more ↓ πŸƒ Academic Marathon (7) 🐝 Cross-Pollinator (10) 🌍 Conference Polyglot (11) πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (8)
🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (38) 🧭 Keyword Pioneer πŸ‘‘ Triple Crown πŸ† Grand Slam 🀝 Dynamic Duo (18) πŸ”₯ Unstoppable (6) πŸ’Ž Century Club (26) πŸ—ƒοΈ Keyword Collector (81) ❓ The Questioner (3) ⚑ Prolific Year (10)

Conferences

ICML (7) ICLR (4) NIPS (4) INTERSPEECH (3) AAAI (2) EMNLP (2) ACL (1) ACML (1) ICCV (1) IJCAI (1) UAI (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 β€œDifficult" 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