Learning grasping force from demonstration. - Yun Lin 003; Shaogang Ren; Matthew Clevenger; Yu Sun 004 (ICRA, 2012)

Adaptive bi-level programming for optimal gene knockouts for targeted overproduction under phenotypic constraints. - Shaogang Ren; Bo Zeng 001; Xiaoning Qian (BMC Bioinform., 2013)

Structured sparse PCA to identify miRNA co-regulatory modules. - Shaogang Ren; Xiaoning Qian (ICASSP, 2014)

Object-object interaction affordance learning. - Yu Sun 004; Shaogang Ren; Yun Lin 003 (Robotics Auton. Syst., 2014)

A Scalable Algorithm for Structured Kernel Feature Selection. - Shaogang Ren; Shuai Huang 001; John A. Onofrey; Xenios Papademetris; Xiaoning Qian (AISTATS, 2015)

A computationally efficient solution strategy for optimal gene knockouts for targeted overproduction. - Meltem Apaydin; Bo Zeng 001; Shaogang Ren; Xiaoning Qian (BCB, 2015)

Safe Active Feature Selection for Sparse Learning. - Shaogang Ren; Jianhua Z. Huang; Shuai Huang 001; Xiaoning Qian (CoRR, 2018)

Safe Feature Screening for Generalized LASSO. - Shaogang Ren; Shuai Huang 001; Jieping Ye; Xiaoning Qian (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Thunder: a Fast Coordinate Selection Solver for Sparse Learning. - Shaogang Ren; Weijie Zhao 001; Ping Li 001 (NeurIPS, 2020)

Estimate the Implicit Likelihoods of GANs with Application to Anomaly Detection. - Shaogang Ren; Dingcheng Li; Zhixin Zhou; Ping Li 001 (WWW, 2020)

A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation. - Dingcheng Li; Hongliang Fei; Shaogang Ren; Ping Li 001 (EMNLP (Findings), 2021)

Causal Discovery with Flow-based Conditional Density Estimation. - Shaogang Ren; Haiyan Yin; Mingming Sun 001; Ping Li 001 (ICDM, 2021)

Flow-based Perturbation for Cause-effect Inference. - Shaogang Ren; Ping Li 001 (CIKM, 2022)

Causal Effect Prediction with Flow-based Inference. - Shaogang Ren; Dingcheng Li; Ping Li 001 (ICDM, 2022)

Variational Flow Graphical Model. - Shaogang Ren; Belhal Karimi; Dingcheng Li; Ping Li 001 (KDD, 2022)

Calibrating CNNs for Few-Shot Meta Learning. - Peng Yang 013; Shaogang Ren; Yang Zhao; Ping Li 001 (WACV, 2022)

Learning Latent Structural Relations with Message Passing Prior. - Shaogang Ren; Hongliang Fei; Dingcheng Li; Ping Li 001 (WACV, 2023)

Learning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series Data. - Ziyi Zhang; Shaogang Ren; Xiaoning Qian; Nick Duffield (KDD, 2024)

Word Embedding with Neural Probabilistic Prior. - Shaogang Ren; Dingcheng Li; Ping Li 001 (SDM, 2024)

Towards Invariant Time Series Forecasting in Smart Cities. - Ziyi Zhang; Shaogang Ren; Xiaoning Qian; Nick Duffield (WWW (Companion Volume), 2024)

Causal Bayesian Optimization via Exogenous Distribution Learning. - Shaogang Ren; Xiaoning Qian (CoRR, 2024)

Dynamic Incremental Optimization for Best Subset Selection. - Shaogang Ren; Xiaoning Qian (CoRR, 2024)