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Yaoqing Yang

23 papers · 2017–2026 · 7 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ πŸƒ Academic Marathon (8) 🌍 Conference Polyglot (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14)
🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (39) πŸŒ‰ Interdisciplinary Bridge πŸ‘‘ Triple Crown ⚑ Prolific Year (7) πŸ—ƒοΈ Keyword Collector (83) πŸ”₯ Unstoppable (6) πŸ’Ž Century Club (21) ❓ The Questioner

Conferences

NIPS (7) ICML (6) CVPR (3) ACL (2) EMNLP (2) ICLR (2) ALT (1)

Research topics

Papers

Why LLM Safety Guardrails Collapse After Fine-tuning: A Similarity Analysis Between Alignment and Fine-tuning Datasets ACL 2026 Suspicious Alignment of SGD:A Fine-Grained Step Size Condition Analysis ALT 2026 Spectral Insights into Data-Oblivious Critical Layers in Large Language Models ACL 2025 Mitigating Memorization in Language Models ICLR 2025 LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning ICML 2025 Eigenspectrum Analysis of Neural Networks without Aspect Ratio Bias ICML 2025 Model Balancing Helps Low-data Training and Fine-tuning EMNLP 2024 AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models NIPS 2024 Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance NIPS 2024 AlphaLoRA: Assigning LoRA Experts Based on Layer Training Quality EMNLP 2024 Teach LLMs to Phish: Stealing Private Information from Language Models ICLR 2024 EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs ICML 2024 MD tree: a model-diagnostic tree grown on loss landscape ICML 2024 When are ensembles really effective? NIPS 2023 A Three-regime Model of Network Pruning ICML 2023 Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training NIPS 2023 Self-Supervised Spatial Reasoning on Multi-View Line Drawings CVPR 2022 Neurotoxin: Durable Backdoors in Federated Learning ICML 2022 Taxonomizing local versus global structure in neural network loss landscapes NIPS 2021 Boundary thickness and robustness in learning models NIPS 2020 Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling CVPR 2018 FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation CVPR 2018 Coded Distributed Computing for Inverse Problems NIPS 2017