Shengyu Zhu

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 16

Top Topics

Multiagent Reinforcement Learning

Causal Discovery

Directed Acyclic Graph

Top Venues

IEEE Trans. Cybern.

Publications

Tim Tse, Zhitang Chen, Shengyu Zhu, Yue Liu
Causal Discovery by Kernel Deviance Measures with Heterogeneous Transforms. CoRR (2024)
Zhuangyan Fang, Shengyu Zhu, Jiji Zhang, Yue Liu, Zhitang Chen, Yangbo He
On Low-Rank Directed Acyclic Graphs and Causal Structure Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Shaokang Dong, Hangyu Mao, Shangdong Yang, Shengyu Zhu, Wenbin Li, Jianye Hao, Yang Gao
WToE: Learning When to Explore in Multiagent Reinforcement Learning. IEEE Trans. Cybern. 54 (8) (2024)
Ran Chen, Shoubo Hu, Zhitang Chen, Shengyu Zhu, Bei Yu, Pengyun Li, Cheng Chen, Yu Huang, Jianye Hao
A Unified Framework for Layout Pattern Analysis With Deep Causal Estimation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (4) (2023)
Ruiqi Zhao, Lei Zhang, Shengyu Zhu, Zitong Lu, Zhenhua Dong, Chaoliang Zhang, Jun Xu, Zhi Geng, Yangbo He
Conditional counterfactual causal effect for individual attribution. UAI (2023)
Zhuangyan Fang, Yue Liu, Zhi Geng, Shengyu Zhu, Yangbo He
A local method for identifying causal relations under Markov equivalence. Artif. Intell. 305 (2022)
Xinwei Shen, Shengyu Zhu, Jiji Zhang, Shoubo Hu, Zhitang Chen
Reframed GES with a neural conditional dependence measure. UAI (2022)
Xinwei Shen, Shengyu Zhu, Jiji Zhang, Shoubo Hu, Zhitang Chen
Reframed GES with a Neural Conditional Dependence Measure. CoRR (2022)
Ignavier Ng, Shengyu Zhu, Zhuangyan Fang, Haoyang Li, Zhitang Chen, Jun Wang
Masked Gradient-Based Causal Structure Learning. SDM (2022)
Xiaopeng Zhang, Shoubo Hu, Zhitang Chen, Shengyu Zhu, Evangeline F. Y. Young, Pengyun Li, Cheng Chen, Yu Huang, Jianye Hao
RCANet: Root Cause Analysis via Latent Variable Interaction Modeling for Yield Improvement. ITC (2022)
Junlong Lyu, Zhitang Chen, Chang Feng, Wenjing Cun, Shengyu Zhu, Yanhui Geng, Zhijie Xu, Chen Yongwei
Para-CFlows: $C^k$-universal diffeomorphism approximators as superior neural surrogates. NeurIPS (2022)
Ruoyu Wang, Mingyang Yi, Zhitang Chen, Shengyu Zhu
Out-of-distribution Generalization with Causal Invariant Transformations. CVPR (2022)
Wenqian Li, Yinchuan Li, Shengyu Zhu, Yunfeng Shao, Jianye Hao, Yan Pang
GFlowCausal: Generative Flow Networks for Causal Discovery. CoRR (2022)
Ruoyu Wang, Mingyang Yi, Zhitang Chen, Shengyu Zhu
Out-of-distribution Generalization with Causal Invariant Transformations. CoRR (2022)
Yong Lin, Shengyu Zhu, Peng Cui
ZIN: When and How to Learn Invariance by Environment Inference? CoRR (2022)
Yong Lin, Shengyu Zhu, Lu Tan, Peng Cui
ZIN: When and How to Learn Invariance Without Environment Partition? NeurIPS (2022)