Linyi Li
26 papers · 2019–2026 · 8 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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πΊοΈ Taxonomy Completionist (54) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
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Keyword Champion
(5)
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Dynamic Duo
(19)
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Triple Crown
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Grand Slam
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Renaissance Researcher
(6)
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Prolific Year Β· Prolific
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Century Club Β· Bronze
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Keyword Collector
(119)
Top co-authors
Research topics
Machine Learning
(20)
Artificial Intelligence
(17)
Core AI
(17)
Optimization & Theory Β· Machine Learning
(17)
Learning Types Β· Machine Learning
(11)
Deep Learning
(9)
Learning Types Β· Deep Learning
(5)
Computer Vision
(4)
Application Areas
(4)
Domain-Specific
(4)
Natural Language Processing
(3)
Analysis
(3)
Optimization & Theory Β· Deep Learning
(3)
Mathematics & Optimization
(2)
Reinforcement Learning
(2)
Keywords
adversarial robustness
(11)
certified robustness
(9)
robustness certification
(5)
randomized smoothing
(4)
adversarial attack
(3)
adversarial example
(3)
distributional robustness
(2)
large language model
(2)
neural network verification
(2)
benchmark evaluation
(2)
camera motion
(2)
black-box attack
(2)
query efficiency
(2)
curse of dimensionality
(2)
bayesian inference
(1)
computer vision
(1)
convex optimization
(1)
ensemble learning
(1)
semi-supervised learning
(1)
image classification
(1)
Papers
Benchmarking LLMsβ Mathematical Reasoning with Unseen Random Variables Questions
AAAI 2026
PR-XAI: PageRank-Based Feature Attribution for Transformers
ACL 2026
Certified Trustworthiness in the Era of Large Language Models
AAAI 2025
Collapsed Language Models Promote Fairness
ICLR 2025
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems Against Semantic Attacks
AAAI 2025
Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study
AAAI 2025
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits
ICLR 2024
Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing
ICML 2024
InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models
NeurIPS 2024
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations
AISTATS 2024
Certifying Out-of-Domain Generalization for Blackbox Functions
ICML 2022
Certifying Some Distributional Fairness with Subpopulation Decomposition
NeurIPS 2022
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks
ICLR 2022
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing
ICLR 2022
Double Sampling Randomized Smoothing
ICML 2022
Fairness in Federated Learning via Core-Stability
NeurIPS 2022
General Cutting Planes for Bound-Propagation-Based Neural Network Verification
NeurIPS 2022
Improving Certified Robustness via Statistical Learning with Logical Reasoning
NeurIPS 2022
LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness
NeurIPS 2022
On the Certified Robustness for Ensemble Models and Beyond
ICLR 2022
Robustness Certification of Visual Perception Models via Camera Motion Smoothing
CoRL 2022
TPC: Transformation-Specific Smoothing for Point Cloud Models
ICML 2022
Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks
AISTATS 2021
Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation
ICML 2021
TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness
NeurIPS 2021
Robustra: Training Provable Robust Neural Networks over Reference Adversarial Space
IJCAI 2019