IR
Anthology
Community
Kun
Zhang
2025
doi
dblp
Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals.
Ruichu Cai
|
Zhifan Jiang
|
Kaitao Zheng
|
Zijian Li
|
Weilin Chen
|
Xuexin Chen
|
Yifan Shen
|
Guangyi Chen
|
Zhifeng Hao
|
Kun Zhang
Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025
2024
doi
dblp
MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification.
Tianjun Yao
|
Jiaqi Sun
|
Defu Cao
|
Kun Zhang
|
Guangyi Chen
Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024
2021
doi
dblp
Causal Discovery with Confounding Cascade Nonlinear Additive Noise Models.
Jie Qiao
|
Ruichu Cai
|
Kun Zhang
|
Zhenjie Zhang
|
Zhifeng Hao
ACM Transactions on Intelligent Systems and Technology (TIST) 2021 Volume 12 Issue 6
2019
doi
dblp
Introduction to the Special Section on Advances in Causal Discovery and Inference.
Jiuyong Li
|
Kun Zhang
|
Emre Kiciman
|
Peng Cui
ACM Transactions on Intelligent Systems and Technology (TIST) 2019 Volume 10 Issue 5
doi
dblp
PRNet: Outdoor Position Recovery for Heterogenous Telco Data by Deep Neural Network.
Yige Zhang
|
Weixiong Rao
|
Kun Zhang
|
Mingxuan Yuan
|
Jia Zeng
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019.
2016
doi
dblp
Preface to the ACM TIST Special Issue on Causal Discovery and Inference.
Kun Zhang
|
Jiuyong Li
|
Elias Bareinboim
|
Bernhard Schölkopf
|
Judea Pearl
ACM Transactions on Intelligent Systems and Technology (TIST) 2016 Volume 7 Issue 2
doi
dblp
On Estimation of Functional Causal Models: General Results and Application to the Post-Nonlinear Causal Model.
Kun Zhang
|
Zhikun Wang
|
Jiji Zhang
|
Bernhard Schölkopf
ACM Transactions on Intelligent Systems and Technology (TIST) 2016 Volume 7 Issue 2