| 2025 | ICDM | LLM Based Bayesian Optimization for Prompt Search. | Adam Ballew, Jingbo Wang, Shaogang Ren |
| 2024 | KDD | Learning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series Data. | Ziyi Zhang, Shaogang Ren, Xiaoning Qian, Nick Duffield |
| 2024 | WWW | Towards Invariant Time Series Forecasting in Smart Cities. | Ziyi Zhang, Shaogang Ren, Xiaoning Qian, Nick Duffield |
| 2024 | SDM | Word Embedding with Neural Probabilistic Prior. | Shaogang Ren, Dingcheng Li, Ping Li |
| 2023 | WACV | Learning Latent Structural Relations with Message Passing Prior. | Shaogang Ren, Hongliang Fei, Dingcheng Li, Ping Li |
| 2022 | CIKM | Flow-based Perturbation for Cause-effect Inference. | Shaogang Ren, Ping Li |
| 2022 | ICDM | Causal Effect Prediction with Flow-based Inference. | Shaogang Ren, Dingcheng Li, Ping Li |
| 2022 | KDD | Variational Flow Graphical Model. | Shaogang Ren, Belhal Karimi, Dingcheng Li, Ping Li |
| 2022 | WACV | Calibrating CNNs for Few-Shot Meta Learning. | Peng Yang, Shaogang Ren, Yang Zhao, Ping Li |
| 2021 | EMNLP | A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation. | Dingcheng Li, Hongliang Fei, Shaogang Ren, Ping Li |
| 2021 | ICDM | Causal Discovery with Flow-based Conditional Density Estimation. | Shaogang Ren, Haiyan Yin, Mingming Sun, Ping Li |
| 2020 | WWW | Estimate the Implicit Likelihoods of GANs with Application to Anomaly Detection. | Shaogang Ren, Dingcheng Li, Zhixin Zhou, Ping Li |
| 2015 | AISTATS | A Scalable Algorithm for Structured Kernel Feature Selection. | Shaogang Ren, Shuai Huang, John A. Onofrey, Xenios Papademetris, Xiaoning Qian |
| 2014 | ICASSP | Structured sparse PCA to identify miRNA co-regulatory modules. | Shaogang Ren, Xiaoning Qian |
| 2012 | ICRA | Learning grasping force from demonstration. | Yun Lin, Shaogang Ren, Matthew Clevenger, Yu Sun |