chengw07

CausalRanking

Code for paper "Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations. Wei Cheng, Kai Zhang, Haifeng Chen, Guofei Jiang, Zhengzhang Chen, Wei Wang. In Poceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining(SIGKDD'16), 2016"

chengw07.github.io

Homepage of Wei Cheng

FedGMM

GAT

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

GDL

Code for paper "Graph Regularized Dual Lasso for Robust eQTL Mapping"(ISMB'14)

GeQTL

Code for paper "Fast and Robust Group-Wise eQTL Mapping Using Sparse Graphical Models. Wei Cheng, Yu Shi, Xiang Zhang, Wei Wang. BMC Bioinformatics, 2015"

InfoTS

Time Series Contrastive Learning with Information-Aware Augmentations (Code)

InterHAt

Interpretable Click-through Rate Prediction through Hierarchical Attention

NetRA

Code for "Learning Deep Network Representations with Adversarially Regularized Autoencoders."

NetWalk

chengw07/NetWalk

chengw07/NetRA

Code for "Learning Deep Network Representations with Adversarially Regularized Autoencoders."

chengw07/CausalRanking

Code for paper "Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations. Wei Cheng, Kai Zhang, Haifeng Chen, Guofei Jiang, Zhengzhang Chen, Wei Wang. In Poceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining(SIGKDD'16), 2016"

chengw07/InfoTS

Time Series Contrastive Learning with Information-Aware Augmentations (Code)

chengw07/GDL

Code for paper "Graph Regularized Dual Lasso for Robust eQTL Mapping"(ISMB'14)

chengw07/GeQTL

Code for paper "Fast and Robust Group-Wise eQTL Mapping Using Sparse Graphical Models. Wei Cheng, Yu Shi, Xiang Zhang, Wei Wang. BMC Bioinformatics, 2015"

chengw07/chengw07.github.io

Homepage of Wei Cheng

chengw07/FedGMM

chengw07/GAT

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

chengw07/InterHAt

Interpretable Click-through Rate Prediction through Hierarchical Attention

chengw07/Prompt-Tuning

Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"