Yuzhe Ma
14 papers · 2018–2025 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (29) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π
Grand Slam
π
Keyword Champion
π§
Keyword Pioneer
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(71)
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(12)
Learning Types
(10)
Artificial Intelligence
(9)
Core AI
(9)
Optimization & Theory
(7)
Reinforcement Learning
(6)
Methods
(6)
Mathematics & Optimization
(3)
Optimization
(3)
Application Areas
(2)
Core Methods
(2)
Computer Science
(1)
Deep Learning
(1)
Security & Privacy
(1)
Applications
(1)
Keywords
reinforcement learning
(7)
adversarial attack
(5)
adversarial learning
(4)
poisoning attack
(2)
regret bound
(2)
convex optimization
(1)
policy optimization
(1)
sample efficiency
(1)
neural architecture search
(1)
linear quadratic regulator
(1)
circuit design
(1)
model predictive control
(1)
neural network optimization
(1)
kalman filter
(1)
pac learning
(1)
maximum likelihood estimation
(1)
machine learning
(1)
sample complexity
(1)
batch reinforcement learning
(1)
large margin classifier
(1)
Papers
Computing Circuits Optimization via Model-Based Circuit Genetic Evolution
ICLR 2025
A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design
ICML 2024
BadRL: Sparse Targeted Backdoor Attack against Reinforcement Learning
AAAI 2024
Towards Automated RISC-V Microarchitecture Design with Reinforcement Learning
AAAI 2024
Adversarial Attacks on Adversarial Bandits
ICLR 2023
Game Redesign in No-regret Game Playing
IJCAI 2022
Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems
AAAI 2021
The Sample Complexity of Teaching by Reinforcement on Q-Learning
AAAI 2021
Adaptive Reward-Poisoning Attacks against Reinforcement Learning
ICML 2020
Task-agnostic Exploration in Reinforcement Learning
NeurIPS 2020
Data Poisoning against Differentially-Private Learners: Attacks and Defenses
IJCAI 2019
Policy Poisoning in Batch Reinforcement Learning and Control
NeurIPS 2019
Adversarial Attacks on Stochastic Bandits
NeurIPS 2018
Teacher Improves Learning by Selecting a Training Subset
AISTATS 2018