Shaogang Ren

Orcid: 0000-0002-2961-1636

According to our database1, Shaogang Ren authored at least 22 papers between 2012 and 2024.

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Bibliography

2024
Dynamic Incremental Optimization for Best Subset Selection.
CoRR, 2024

Causal Bayesian Optimization via Exogenous Distribution Learning.
CoRR, 2024

Towards Invariant Time Series Forecasting in Smart Cities.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Word Embedding with Neural Probabilistic Prior.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Learning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series Data.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
Learning Latent Structural Relations with Message Passing Prior.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022
Calibrating CNNs for Few-Shot Meta Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Variational Flow Graphical Model.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Causal Effect Prediction with Flow-based Inference.
Proceedings of the IEEE International Conference on Data Mining, 2022

Flow-based Perturbation for Cause-effect Inference.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Causal Discovery with Flow-based Conditional Density Estimation.
Proceedings of the IEEE International Conference on Data Mining, 2021

A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Estimate the Implicit Likelihoods of GANs with Application to Anomaly Detection.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Thunder: a Fast Coordinate Selection Solver for Sparse Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018
Safe Feature Screening for Generalized LASSO.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Safe Active Feature Selection for Sparse Learning.
CoRR, 2018

2015
A computationally efficient solution strategy for optimal gene knockouts for targeted overproduction.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015

A Scalable Algorithm for Structured Kernel Feature Selection.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
Object-object interaction affordance learning.
Robotics Auton. Syst., 2014

Structured sparse PCA to identify miRNA co-regulatory modules.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Adaptive bi-level programming for optimal gene knockouts for targeted overproduction under phenotypic constraints.
BMC Bioinform., 2013

2012
Learning grasping force from demonstration.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012


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