Object–object interaction affordance learning Y Sun, S Ren, Y Lin Robotics and Autonomous Systems 62 (4), 487-496, 2014 | 77 | 2014 |
Adaptive bi-level programming for optimal gene knockouts for targeted overproduction under phenotypic constraints S Ren, B Zeng, X Qian BMC bioinformatics 14, 1-11, 2013 | 77 | 2013 |
Learning grasping force from demonstration Y Lin, S Ren, M Clevenger, Y Sun 2012 IEEE International Conference on Robotics and Automation (ICRA 2012 …, 2012 | 76 | 2012 |
Human-object-object-interaction affordance S Ren, Y Sun 2013 IEEE Workshop on Robot Vision (WORV), 1-6, 2013 | 39 | 2013 |
Safe feature screening for generalized LASSO S Ren, S Huang, J Ye, X Qian IEEE transactions on pattern analysis and machine intelligence (TPAMI) 40 …, 2017 | 23 | 2017 |
Calibrating CNNs for Few-Shot Meta Learning P Yang, S Ren, Y Zhao, P Li Proceedings of (WACV 2022) the IEEE/CVF Winter Conference on Applications …, 2022 | 13 | 2022 |
Estimate the Implicit Likelihoods of GANs with Application to Anomaly Detection S Ren, D Li, Z Zhou, P Li Proceedings of The Web Conference 2020 (WWW 2020), 2287-2297, 2020 | 11 | 2020 |
Toward Invariant Time Series Forecasting in Smart Cities Z Zhang, S Ren, X Qian, N Duffield 10th International Smart City Workshop-The Web and Smart Cities, 2024, 2024 | 8 | 2024 |
A scalable algorithm for structured kernel feature selection S Ren, S Huang, J Onofrey, X Papademetris, X Qian Artificial Intelligence and Statistics (AIStats 2015), 781-789, 2015 | 8 | 2015 |
Causal Discovery with Flow-based Conditional Density Estimation S Ren, H Yin, M Sun, P Li The IEEE International Conference on Data Mining (ICDM 2021), Short paper., 2021 | 7 | 2021 |
A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation D Li, H Fei, S Ren, P Li Findings of the Association for Computational Linguistics (EMNLP 2021), 4300 …, 2021 | 7 | 2021 |
Structured sparse PCA to identify miRNA co-regulatory modules S Ren, X Qian 2014 IEEE (ICASSP) International Conference on Acoustics, Speech and Signal …, 2014 | 5 | 2014 |
Learning latent structural relations with segmentation variational autoencoders REN Shaogang, H Fei, D Li, P Li US Patent 11,816,533, 2023 | 4 | 2023 |
Flow-based Perturbation for Cause-effect Inference S Ren, P Li Proceedings of the 31st ACM (CIKM 2022) International Conference on …, 2022 | 4 | 2022 |
Variational flow graphical model S Ren, B Karimi, D Li, P Li Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 4 | 2022 |
Learning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series Data Z Zhang, S Ren, X Qian, N Duffield. KDD 2024, 2024 | 3 | 2024 |
Thunder: a Fast Coordinate Selection Solver for Sparse Learning S Ren, W Zhao, P Li Advances in Neural Information Processing Systems (NeurIPS 2020) 33, 2020 | 3 | 2020 |
Estimating the implicit likelihoods of generative adversarial networks D Li, REN Shaogang, Z Zhixin, P Li US Patent 11,783,198, 2023 | 2 | 2023 |
Causal Effect Prediction with Flow-based Inference S Ren, D Li, P Li The IEEE International Conference on Data Mining (ICDM), 2022. Short paper., 2022 | 2 | 2022 |
Causal Bayesian Optimization via Exogenous Distribution Learning S Ren, X Qian arXiv preprint arXiv:2402.02277, 2024 | 1 | 2024 |