Shengyu Zhu
11 papers · 2019–2026 · 8 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(8)
Core AI
(7)
Machine Learning
(6)
Application Areas
(4)
Deep Learning
(3)
Optimization & Theory
(3)
Reinforcement Learning
(2)
Methods
(2)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Bayesian & Probabilistic
(1)
Learning Paradigms
(1)
Learning Types Β· Machine Learning
(1)
Learning Types Β· Deep Learning
(1)
Mathematics
(1)
Keywords
causal discovery
(3)
directed acyclic graph
(2)
domain generalization
(2)
causal mechanism
(2)
out-of-distribution generalization
(2)
reinforcement learning
(2)
model safety
(1)
hypothesis testing
(1)
variable selection
(1)
markov decision process
(1)
surrogate model
(1)
causal structure
(1)
conditional dependence
(1)
maximum mean discrepancy
(1)
safety alignment
(1)
neural combinatorial optimization
(1)
goodness-of-fit testing
(1)
score function
(1)
bayesian optimization
(1)
minimax optimization
(1)
Papers
RaPA: Enhancing Transferable Targeted Attacks via Random Parameter Pruning
CVPR 2026
Speculative Safety-Aware Decoding
EMNLP 2025
Conditional counterfactual causal effect for individual attribution
UAI 2023
Provably Invariant Learning without Domain Information
ICML 2023
Out-of-Distribution Generalization With Causal Invariant Transformations
CVPR 2022
Para-CFlows: C^k-universal diffeomorphism approximators as superior neural surrogates
NeurIPS 2022
Reframed GES with a neural conditional dependence measure
UAI 2022
ZIN: When and How to Learn Invariance Without Environment Partition?
NeurIPS 2022
Ordering-Based Causal Discovery with Reinforcement Learning
IJCAI 2021
Causal Discovery with Reinforcement Learning
ICLR 2020
Universal Hypothesis Testing with Kernels: Asymptotically Optimal Tests for Goodness of Fit
AISTATS 2019