Seq2Img: A sequence-to-image based approach towards IP traffic classification using convolutional neural networks

Zhitang Chen, Ke He, Jian Li, +1

Convolutional Neural NetworkInternet Traffic AnalysisEngineeringMachine LearningEncrypted Traffic +14

Online flow size prediction for improved network routing

Pascal Poupart, Zhitang Chen, Priyank Jaini, +6

Internet Traffic AnalysisEngineeringMachine LearningNetwork RoutingNetwork Analysis +17

A Graph Autoencoder Approach to Causal Structure Learning

Ignavier Ng, Shengyu Zhu, Zhitang Chen, +1

arXiv (Cornell University)

Artificial IntelligenceStructured PredictionEngineeringMachine LearningCausal Relation Extraction +17

Stable Learning via Differentiated Variable Decorrelation

Zheyan Shen, Peng Cui, Jiashuo Liu, +3

Artificial IntelligenceEngineeringMachine LearningData ScienceComputational Learning Theory +9

Out-of-distribution Generalization with Causal Invariant Transformations

Ruoyu Wang, Mingyang Yi, Zhitang Chen, +1

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Artificial IntelligenceEngineeringMachine LearningCausal Relation ExtractionCausal Inference +17

Contrastive-ACE: Domain Generalization Through Alignment of Causal Mechanisms

Yunqi Wang, Furui Liu, Zhitang Chen, +4

IEEE Transactions on Image Processing

DREAMPlace 4.0: Timing-driven Global Placement with Momentum-based Net Weighting

Peiyu Liao, Siting Liu, Zhitang Chen, +3

2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)

Large-scale Global OptimizationCluster ComputingEngineeringVlsi DesignDynamic Resource Allocation +16

CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models

Mengyue Yang, Furui Liu, Zhitang Chen, +3

Structured PredictionEngineeringMachine LearningAutoencodersCausal Relation Extraction +15

Causal Discovery with Reinforcement Learning

Shengyu Zhu, Ignavier Ng, Zhitang Chen

arXiv (Cornell University)

Artificial IntelligenceEngineeringMachine LearningSequential LearningCausal Inference +15

gCastle: A Python Toolbox for Causal Discovery

Keli Zhang, Shengyu Zhu, Marcus Kalander, +4

arXiv (Cornell University)

Artificial IntelligenceEngineeringMachine LearningLarge-scale DatasetsCausal Relation Extraction +17