Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Kun Zhang

Kun Zhang

Causality-Based Multivariate Time Series Anomaly Detection



Wenzhuo Yang , Kun Zhang , Steven C. H. Hoi

* 10 pages, 5 figures 
   Access Paper or Ask Questions

On the Identifiability of Nonlinear ICA: Sparsity and Beyond



Yujia Zheng , Ignavier Ng , Kun Zhang

Figure 1 for On the Identifiability of Nonlinear ICA: Sparsity and Beyond
Figure 2 for On the Identifiability of Nonlinear ICA: Sparsity and Beyond
Figure 3 for On the Identifiability of Nonlinear ICA: Sparsity and Beyond
Figure 4 for On the Identifiability of Nonlinear ICA: Sparsity and Beyond

   Access Paper or Ask Questions

Causal Balancing for Domain Generalization



Xinyi Wang , Michael Saxon , Jiachen Li , Hongyang Zhang , Kun Zhang , William Yang Wang

Figure 1 for Causal Balancing for Domain Generalization
Figure 2 for Causal Balancing for Domain Generalization
Figure 3 for Causal Balancing for Domain Generalization
Figure 4 for Causal Balancing for Domain Generalization
* 16 pages, 3 figures, 4 tables 
   Access Paper or Ask Questions

What-Is and How-To for Fairness in Machine Learning: A Survey, Reflection, and Perspective



Zeyu Tang , Jiji Zhang , Kun Zhang

Figure 1 for What-Is and How-To for Fairness in Machine Learning: A Survey, Reflection, and Perspective
Figure 2 for What-Is and How-To for Fairness in Machine Learning: A Survey, Reflection, and Perspective
Figure 3 for What-Is and How-To for Fairness in Machine Learning: A Survey, Reflection, and Perspective

   Access Paper or Ask Questions

Offline Reinforcement Learning with Causal Structured World Models



Zheng-Mao Zhu , Xiong-Hui Chen , Hong-Long Tian , Kun Zhang , Yang Yu

Figure 1 for Offline Reinforcement Learning with Causal Structured World Models
Figure 2 for Offline Reinforcement Learning with Causal Structured World Models
Figure 3 for Offline Reinforcement Learning with Causal Structured World Models
Figure 4 for Offline Reinforcement Learning with Causal Structured World Models

   Access Paper or Ask Questions

Counterfactual Fairness with Partially Known Causal Graph



Aoqi Zuo , Susan Wei , Tongliang Liu , Bo Han , Kun Zhang , Mingming Gong

Figure 1 for Counterfactual Fairness with Partially Known Causal Graph
Figure 2 for Counterfactual Fairness with Partially Known Causal Graph
Figure 3 for Counterfactual Fairness with Partially Known Causal Graph
Figure 4 for Counterfactual Fairness with Partially Known Causal Graph

   Access Paper or Ask Questions

MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models



Erdun Gao , Ignavier Ng , Mingming Gong , Li Shen , Wei Huang , Tongliang Liu , Kun Zhang , Howard Bondell

Figure 1 for MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models
Figure 2 for MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models
Figure 3 for MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models
Figure 4 for MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models

   Access Paper or Ask Questions

Calibration Matters: Tackling Maximization Bias in Large-scale Advertising Recommendation Systems



Yewen Fan , Nian Si , Kun Zhang

Figure 1 for Calibration Matters: Tackling Maximization Bias in Large-scale Advertising Recommendation Systems
Figure 2 for Calibration Matters: Tackling Maximization Bias in Large-scale Advertising Recommendation Systems
Figure 3 for Calibration Matters: Tackling Maximization Bias in Large-scale Advertising Recommendation Systems
Figure 4 for Calibration Matters: Tackling Maximization Bias in Large-scale Advertising Recommendation Systems

   Access Paper or Ask Questions

Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification



Kai Zhang , Qi Liu , Zhenya Huang , Mingyue Cheng , Kun Zhang , Mengdi Zhang , Wei Wu , Enhong Chen

Figure 1 for Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification
Figure 2 for Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification
Figure 3 for Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification
Figure 4 for Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification
* 11 pages, 7 figures, Sigir 2022 
   Access Paper or Ask Questions

A Review-aware Graph Contrastive Learning Framework for Recommendation



Jie Shuai , Kun Zhang , Le Wu , Peijie Sun , Richang Hong , Meng Wang , Yong Li

Figure 1 for A Review-aware Graph Contrastive Learning Framework for Recommendation
Figure 2 for A Review-aware Graph Contrastive Learning Framework for Recommendation
Figure 3 for A Review-aware Graph Contrastive Learning Framework for Recommendation
Figure 4 for A Review-aware Graph Contrastive Learning Framework for Recommendation
* Accepted by SIGIR 2022 
   Access Paper or Ask Questions
1
2
3
4
5
6
7
>>