Linyi Li
26 papers · 2019–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (11)
π
Cross-Pollinator
(11)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(44)
π€
Dynamic Duo
(19)
π
Triple Crown
π
Keyword Champion
(3)
π
Grand Slam
π§¬
Topic Evolution
β‘
Prolific Year
(12)
π
Century Club
(24)
ποΈ
Keyword Collector
(88)
Conferences
NIPS (7)
ICLR (5)
ICML (5)
AAAI (4)
AISTATS (2)
ACL (1)
CORL (1)
IJCAI (1)
Top co-authors
Keywords
adversarial robustness
(10)
certified robustness
(7)
robustness certification
(3)
randomized smoothing
(3)
query efficiency
(2)
benchmark evaluation
(2)
blackbox attack
(2)
adversarial attack
(2)
adversarial example
(2)
large language model
(2)
distributional robustness
(2)
neural network verification
(2)
camera motion
(2)
logical reasoning
(1)
object detection
(1)
text classification
(1)
visual perception
(1)
image classification
(1)
computer vision
(1)
code generation
(1)
Papers
PR-XAI: PageRank-Based Feature Attribution for Transformers
ACL 2026
Benchmarking LLMsβ Mathematical Reasoning with Unseen Random Variables Questions
AAAI 2026
Collapsed Language Models Promote Fairness
ICLR 2025
Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study
AAAI 2025
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems Against Semantic Attacks
AAAI 2025
Certified Trustworthiness in the Era of Large Language Models
AAAI 2025
Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing
ICML 2024
InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models
NIPS 2024
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits
ICLR 2024
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations
AISTATS 2024
Double Sampling Randomized Smoothing
ICML 2022
Certifying Out-of-Domain Generalization for Blackbox Functions
ICML 2022
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing
ICLR 2022
General Cutting Planes for Bound-Propagation-Based Neural Network Verification
NIPS 2022
Fairness in Federated Learning via Core-Stability
NIPS 2022
LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness
NIPS 2022
Certifying Some Distributional Fairness with Subpopulation Decomposition
NIPS 2022
Improving Certified Robustness via Statistical Learning with Logical Reasoning
NIPS 2022
Robustness Certification of Visual Perception Models via Camera Motion Smoothing
CORL 2022
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks
ICLR 2022
On the Certified Robustness for Ensemble Models and Beyond
ICLR 2022
TPC: Transformation-Specific Smoothing for Point Cloud Models
ICML 2022
Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation
ICML 2021
TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness
NIPS 2021
Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks
AISTATS 2021
Robustra: Training Provable Robust Neural Networks over Reference Adversarial Space
IJCAI 2019