Siyue Wang
6 papers · 2019–2024 · 4 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
Jump to papers ↓+1 more ↓ Show less ↑
🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(6)
Deep Learning
(4)
Optimization & Theory · Machine Learning
(4)
Application Areas
(3)
Architectures
(3)
Artificial Intelligence
(2)
Core AI
(2)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory · Deep Learning
(2)
Reinforcement Learning
(1)
Robotics
(1)
Capabilities
(1)
Methods
(1)
Keywords
neural network optimization
(3)
adversarial robustness
(3)
model compression
(2)
trajectory prediction
(1)
query efficiency
(1)
inverse reinforcement learning
(1)
natural gradient descent
(1)
false positive rate
(1)
adversarial attack
(1)
black-box attack
(1)
memory efficiency
(1)
adversarial defense
(1)
reward model
(1)
zeroth-order optimization
(1)
data efficiency
(1)
edge computing
(1)
sparse training
(1)
neural network fingerprinting
(1)
hardware acceleration
(1)
stochastic method
(1)
Papers
EscIRL: Evolving Self-Contrastive IRL for Trajectory Prediction in Autonomous Driving
CoRL 2024
Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks
IJCAI 2021
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
NeurIPS 2021
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent
AAAI 2020
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses
IJCAI 2019
Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks
AAAI 2019