Ping He
10 papers · 2001–2026 · 8 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver π Academic Marathon Β· Ultra πΊοΈ Taxonomy Completionist (24) π Conference Polyglot Β· Silver π Renaissance Researcher (5)
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Century Club Β· Bronze
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Trend Setter
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Research topics
Machine Learning
(5)
Artificial Intelligence
(4)
Deep Learning
(4)
Core AI
(4)
Optimization & Theory
(3)
Computer Vision
(2)
Natural Language Processing
(2)
Application Areas
(2)
Architectures
(2)
Core Methods
(2)
Processing
(2)
Mathematics & Optimization
(1)
Security & Privacy
(1)
Bayesian & Probabilistic
(1)
Generation
(1)
Keywords
code generation
(2)
large language model
(2)
stochastic gradient descent
(1)
kl divergence
(1)
question answering
(1)
model unlearning
(1)
covariance matrix
(1)
natural gradient
(1)
adversarial training
(1)
llm evaluation
(1)
intellectual property
(1)
spatio-temporal modeling
(1)
deep learning
(1)
constrained optimization
(1)
dynamic vision sensor
(1)
expectation maximization
(1)
data augmentation
(1)
feature invariance
(1)
backdoor attack
(1)
image classification
(1)
Papers
Better Datasets Start from RefineLab: Automatic Optimization for High-Quality Dataset Refinement
AAAI 2026
Compiling Activation Steering into Weights via Null-Space Constraints for Stealthy Backdoors
ACL 2026
HogVul: Black-box Adversarial Code Generation Framework Against LM-based Vulnerability Detectors
AAAI 2026
S3Net: Spatiotemporally Separated Sparse Network for Neuromorphic Vision Processing
AAAI 2026
ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis
MICCAI 2025
CLMTracing: Black-box User-level Watermarking for Code Language Model Tracing
EMNLP 2025
BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection
ICLR 2024
Logarithmic Lenses: Exploring Log RGB Data for Image Classification
CVPR 2024
Adaptive Riemannian stochastic gradient descent and reparameterization for Gaussian mixture model fitting
ACML 2023
Partial orientation and local structural learning of causal networks for prediction
AISTATS 2001