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Yaoqing Yang

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

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (40) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
🧭 Keyword Pioneer πŸ‘‘ Triple Crown ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (5) πŸ—ƒοΈ Keyword Collector (116)

Venues

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

Top co-authors

Michael W. Mahoney (8) Yefan Zhou (7) Tianyu Pang (5) Yujun Yan (3) Chen Feng (3) Joseph E Gonzalez (2) Lei Hsiung (2) Prateek Mittal (2) Haiquan Lu (2) Kurt Keutzer (2)

Research topics

Machine Learning (22) Artificial Intelligence (14) Optimization & Theory Β· Machine Learning (14) Core AI (12) Deep Learning (10) Application Areas (8) Core Methods (5) Learning Types Β· Machine Learning (4) Architectures (3) Learning Types Β· Deep Learning (3) Optimization & Theory Β· Deep Learning (3) Computer Vision (2) Analysis (2) Learning Paradigms (2) Mathematics & Optimization (1)

Keywords

large language model (4) model compression (3) point cloud (2) transfer learning (2) neural network (2) spectral density (2) loss landscape (2) layer-wise learning rate (2) heavy-tailed self-regularization (2) representation learning (2) double descent (1) backdoor defense (1) self-supervised learning (1) adversarial machine learning (1) ensemble learning (1) 3d reconstruction (1) unsupervised learning (1) machine unlearning (1) domain adaptation (1) network pruning (1)

Papers

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