Yaoqing Yang
23 papers · 2017–2026 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
π Academic Marathon (8) π Conference Polyglot (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (14)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(39)
π
Interdisciplinary Bridge
π
Triple Crown
β‘
Prolific Year
(7)
ποΈ
Keyword Collector
(83)
π₯
Unstoppable
(6)
π
Century Club
(21)
β
The Questioner
Conferences
NIPS (7)
ICML (6)
CVPR (3)
ACL (2)
EMNLP (2)
ICLR (2)
ALT (1)
Top co-authors
Research topics
Keywords
model compression
(3)
large language model
(3)
representation learning
(2)
transfer learning
(2)
point cloud
(2)
layer-wise learning rate
(2)
heavy-tailed self-regularization
(2)
neural network
(2)
spectral density
(2)
double descent
(1)
backdoor defense
(1)
ensemble learning
(1)
self-supervised learning
(1)
adversarial machine learning
(1)
3d reconstruction
(1)
unsupervised learning
(1)
line drawing
(1)
domain adaptation
(1)
network pruning
(1)
3d vision
(1)
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