Ruoming Jin
11 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
🌍 Conference Polyglot (5) 🏃 Academic Marathon (6) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (14)
🌍
Conference Polyglot
(5)
🏃
Academic Marathon
(6)
🐝
Cross-Pollinator
(14)
🗃️
Keyword Collector
(58)
📈
Trend Setter
💎
Century Club
(11)
❓
The Questioner
Conferences
ICML (5)
AAAI (2)
NIPS (2)
EMNLP (1)
IJCAI (1)
Top co-authors
Research topics
Keywords
differential privacy
(2)
top-k metrics
(2)
adversarial robustness
(2)
adversarial attack
(2)
graph matching
(2)
evaluation metric
(2)
recommender system
(2)
robust optimization
(1)
graph learning
(1)
adversarial learning
(1)
statistical analysis
(1)
curriculum learning
(1)
expectation maximization
(1)
privacy preservation
(1)
stochastic gradient descent
(1)
fisher information
(1)
adaptive sampling
(1)
neural network optimization
(1)
kernel density estimation
(1)
network pruning
(1)
Papers
Can Large Language Models Understand Intermediate Representations in Compilers?
ICML 2025
Flexible, Efficient, and Stable Adversarial Attacks on Machine Unlearning
ICML 2025
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models
EMNLP 2024
Towards Reliable Item Sampling for Recommendation Evaluation
AAAI 2023
On Estimating Recommendation Evaluation Metrics under Sampling
AAAI 2021
Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory
NIPS 2021
Integrated Defense for Resilient Graph Matching
ICML 2021
Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks
ICML 2021
Adversarial Attacks on Deep Graph Matching
NIPS 2020
Scalable Differential Privacy with Certified Robustness in Adversarial Learning
ICML 2020
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness
IJCAI 2019