Shaogang Ren

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 22

Top Topics

Conditional Density Estimation

Sparse Learning

Causal Discovery

Message Passing

Top Venues

Publications

Ziyi Zhang, Shaogang Ren, Xiaoning Qian, Nick Duffield
Learning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series Data. KDD (2024)
Ziyi Zhang, Shaogang Ren, Xiaoning Qian, Nick Duffield
Towards Invariant Time Series Forecasting in Smart Cities. CoRR (2024)
Shaogang Ren, Xiaoning Qian
Dynamic Incremental Optimization for Best Subset Selection. CoRR (2024)
Shaogang Ren, Xiaoning Qian
Causal Bayesian Optimization via Exogenous Distribution Learning. CoRR (2024)
Ziyi Zhang, Shaogang Ren, Xiaoning Qian, Nick Duffield
Learning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series Data. CoRR (2024)
Shaogang Ren, Dingcheng Li, Ping Li
Word Embedding with Neural Probabilistic Prior. SDM (2024)
Ziyi Zhang, Shaogang Ren, Xiaoning Qian, Nick Duffield
Towards Invariant Time Series Forecasting in Smart Cities. WWW (Companion Volume) (2024)
Shaogang Ren, Hongliang Fei, Dingcheng Li, Ping Li
Learning Latent Structural Relations with Message Passing Prior. WACV (2023)
Shaogang Ren, Dingcheng Li, Ping Li
Word Embedding with Neural Probabilistic Prior. CoRR (2023)
Shaogang Ren, Ping Li
Flow-based Perturbation for Cause-effect Inference. CIKM (2022)
Shaogang Ren, Dingcheng Li, Ping Li
Causal Effect Prediction with Flow-based Inference. ICDM (2022)
Shaogang Ren, Belhal Karimi, Dingcheng Li, Ping Li
Variational Flow Graphical Model. CoRR (2022)
Peng Yang, Shaogang Ren, Yang Zhao, Ping Li
Calibrating CNNs for Few-Shot Meta Learning. WACV (2022)
Shaogang Ren, Belhal Karimi, Dingcheng Li, Ping Li
Variational Flow Graphical Model. KDD (2022)
Shaogang Ren, Haiyan Yin, Mingming Sun, Ping Li
Causal Discovery with Flow-based Conditional Density Estimation. ICDM (2021)
Dingcheng Li, Hongliang Fei, Shaogang Ren, Ping Li
A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation. EMNLP (Findings) (2021)
Shaogang Ren, Weijie Zhao, Ping Li
Thunder: a Fast Coordinate Selection Solver for Sparse Learning. NeurIPS (2020)
Shaogang Ren, Dingcheng Li, Zhixin Zhou, Ping Li
Estimate the Implicit Likelihoods of GANs with Application to Anomaly Detection. WWW (2020)
Shaogang Ren, Jianhua Z. Huang, Shuai Huang, Xiaoning Qian
Safe Active Feature Selection for Sparse Learning. CoRR (2018)
Shaogang Ren, Shuai Huang, Jieping Ye, Xiaoning Qian
Safe Feature Screening for Generalized LASSO. IEEE Trans. Pattern Anal. Mach. Intell. 40 (12) (2018)
Shaogang Ren, Shuai Huang, John A. Onofrey, Xenios Papademetris, Xiaoning Qian
A Scalable Algorithm for Structured Kernel Feature Selection. AISTATS (2015)
Meltem Apaydin, Bo Zeng, Shaogang Ren, Xiaoning Qian
A computationally efficient solution strategy for optimal gene knockouts for targeted overproduction. BCB (2015)
Yu Sun, Shaogang Ren, Yun Lin
Object-object interaction affordance learning. Robotics Auton. Syst. 62 (4) (2014)
Shaogang Ren, Xiaoning Qian
Structured sparse PCA to identify miRNA co-regulatory modules. ICASSP (2014)
Shaogang Ren, Bo Zeng, Xiaoning Qian
Adaptive bi-level programming for optimal gene knockouts for targeted overproduction under phenotypic constraints. BMC Bioinform. 14 (S-2) (2013)
Yun Lin, Shaogang Ren, Matthew Clevenger, Yu Sun
Learning grasping force from demonstration. ICRA (2012)