Shengyu Zhu

Publication Activity (10 Years)

Years Active: 2013-2022
Publications (10 Years): 26

Top Topics

Causal Discovery

Structure Learning

Directed Acyclic Graph

Top Venues

IEEE Trans. Signal Process.

IEEE Trans. Inf. Theory

Publications

Junlong Lyu, Zhitang Chen, Chang Feng, Wenjing Cun, Shengyu Zhu, Yanhui Geng, Zhijie Xu, Yongwei Chen
Universality of parametric Coupling Flows over parametric diffeomorphisms. CoRR (2022)
Qingle Guo, Junping Zhang, Shengyu Zhu, Chongxiao Zhong, Ye Zhang
Deep Multiscale Siamese Network With Parallel Convolutional Structure and Self-Attention for Change Detection. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Yan Lyu, Sunhao Dai, Peng Wu, Quanyu Dai, Yuhao Deng, Wenjie Hu, Zhenhua Dong, Jun Xu, Shengyu Zhu, Xiao-Hua Zhou
A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems. CoRR (2022)
Shengyu Zhu, Junping Zhang, Xuejian Liang, Qingle Guo
Multiscale Semantic Guidance Network for Object Detection in VHR Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang
Ordering-Based Causal Discovery with Reinforcement Learning. IJCAI (2021)
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. ICCAD (2021)
Keli Zhang, Shengyu Zhu, Marcus Kalander, Ignavier Ng, Junjian Ye, Zhitang Chen, Lujia Pan
gCastle: A Python Toolbox for Causal Discovery. CoRR (2021)
Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang
Ordering-Based Causal Discovery with Reinforcement Learning. CoRR (2021)
Shengyu Zhu, Biao Chen, Zhitang Chen, Pengfei Yang
Asymptotically Optimal One- and Two-Sample Testing With Kernels. IEEE Trans. Inf. Theory 67 (4) (2021)
Zhuangyan Fang, Shengyu Zhu, Jiji Zhang, Yue Liu, Zhitang Chen, Yangbo He
Low Rank Directed Acyclic Graphs and Causal Structure Learning. CoRR (2020)
Shengyu Zhu, Ignavier Ng, Zhitang Chen
Causal Discovery with Reinforcement Learning. ICLR (2020)
Ignavier Ng, Zhuangyan Fang, Shengyu Zhu, Zhitang Chen
Masked Gradient-Based Causal Structure Learning. CoRR (2019)
Ignavier Ng, Shengyu Zhu, Zhitang Chen, Zhuangyan Fang
A Graph Autoencoder Approach to Causal Structure Learning. CoRR (2019)
Shengyu Zhu, Zhitang Chen
Causal Discovery with Reinforcement Learning. CoRR (2019)
Shengyu Zhu, Biao Chen, Zhitang Chen, Pengfei Yang
Asymptotically Optimal One- and Two-Sample Testing with Kernels. CoRR (2019)
Shengyu Zhu, Biao Chen, Pengfei Yang, Zhitang Chen
Universal Hypothesis Testing with Kernels: Asymptotically Optimal Tests for Goodness of Fit. AISTATS (2019)
Zhitang Chen, Shengyu Zhu, Yue Liu, Tim Tse
Causal Discovery by Kernel Intrinsic Invariance Measure. CoRR (2019)
Shengyu Zhu, Biao Chen, Zhitang Chen
Exponentially Consistent Kernel Two-Sample Tests. CoRR (2018)
Shengyu Zhu, Biao Chen
Distributed Detection in Ad Hoc Networks Through Quantized Consensus. IEEE Trans. Inf. Theory 64 (11) (2018)
Shengyu Zhu, Biao Chen, Pengfei Yang, Zhitang Chen
Universal Hypothesis Testing with Kernels: Asymptotically Optimal Tests for Goodness of Fit. CoRR (2018)
Shengyu Zhu, Biao Chen
Corrections to "Quantized Consensus by the ADMM: Probabilistic Versus Deterministic Quantizers". IEEE Trans. Signal Process. 65 (6) (2017)
Shengyu Zhu, Mingyi Hong, Biao Chen
Quantized consensus ADMM for multi-agent distributed optimization. ICASSP (2016)
Shengyu Zhu, Biao Chen
Distributed detection over connected networks via one-bit quantizer. ISIT (2016)
Shengyu Zhu, Biao Chen
Quantized Consensus by the ADMM: Probabilistic Versus Deterministic Quantizers. IEEE Trans. Signal Process. 64 (7) (2016)
Shengyu Zhu, Biao Chen
Distributed Detection in Ad Hoc Networks Through Quantized Consensus-Part II: Asymptotically Optimal Detection via One-Bit Communications. CoRR (2016)
Shengyu Zhu, Biao Chen
Distributed average consensus with bounded quantization. SPAWC (2016)
Shengyu Zhu, Biao Chen
Distributed average consensus with deterministic quantization: An ADMM approach. GlobalSIP (2015)
Shengyu Zhu, Biao Chen
Quantized Consensus by the ADMM: Probabilistic versus Deterministic Quantizers. CoRR (2015)
Ge Xu, Shengyu Zhu, Biao Chen
Decentralized Data Reduction With Quantization Constraints. IEEE Trans. Signal Process. 62 (7) (2014)
Shengyu Zhu, Ge Xu, Biao Chen
Are global sufficient statistics always sufficient: The impact of quantization on decentralized data reduction. ACSSC (2013)
Shengyu Zhu, Earnest Akofor, Biao Chen
Interactive distributed detection with conditionally independent observations. WCNC (2013)
Ge Xu, Shengyu Zhu, Biao Chen
Decentralized Data Reduction with Quantization Constraints. CoRR (2013)
Shengyu Zhu, Biao Chen
Data reduction in tandem fusion systems. ChinaSIP (2013)