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Journal Articles
- 2018
[j3]Shaogang Ren
, Shuai Huang, Jieping Ye, Xiaoning Qian:
Safe Feature Screening for Generalized LASSO. IEEE Trans. Pattern Anal. Mach. Intell. 40(12): 2992-3006 (2018)- 2014
- [j2]Yu Sun, Shaogang Ren, Yun Lin:
Object-object interaction affordance learning. Robotics Auton. Syst. 62(4): 487-496 (2014) - 2013
- [j1]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): S17 (2013)
Conference and Workshop Papers
- 2024
- [c16]Ziyi Zhang, Shaogang Ren, Xiaoning Qian, Nick Duffield:
Learning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series Data. KDD 2024: 4408-4418 - [c15]Shaogang Ren, Dingcheng Li, Ping Li:
Word Embedding with Neural Probabilistic Prior. SDM 2024: 896-904 - [c14]Ziyi Zhang, Shaogang Ren, Xiaoning Qian, Nick Duffield:
Towards Invariant Time Series Forecasting in Smart Cities. WWW (Companion Volume) 2024: 1344-1350 - 2023
- [c13]Shaogang Ren, Hongliang Fei, Dingcheng Li, Ping Li:
Learning Latent Structural Relations with Message Passing Prior. WACV 2023: 5323-5332 - 2022
- [c12]Shaogang Ren, Ping Li:
Flow-based Perturbation for Cause-effect Inference. CIKM 2022: 1706-1715 - [c11]Shaogang Ren, Dingcheng Li, Ping Li:
Causal Effect Prediction with Flow-based Inference. ICDM 2022: 1167-1172 - [c10]Shaogang Ren, Belhal Karimi, Dingcheng Li, Ping Li:
Variational Flow Graphical Model. KDD 2022: 1493-1503 - [c9]Peng Yang, Shaogang Ren, Yang Zhao, Ping Li:
Calibrating CNNs for Few-Shot Meta Learning. WACV 2022: 408-417 - 2021
- [c8]Dingcheng Li, Hongliang Fei, Shaogang Ren, Ping Li:
A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation. EMNLP (Findings) 2021: 4300-4310 - [c7]Shaogang Ren, Haiyan Yin, Mingming Sun, Ping Li:
Causal Discovery with Flow-based Conditional Density Estimation. ICDM 2021: 1300-1305 - 2020
- [c6]Shaogang Ren, Weijie Zhao, Ping Li:
Thunder: a Fast Coordinate Selection Solver for Sparse Learning. NeurIPS 2020 - [c5]Shaogang Ren, Dingcheng Li, Zhixin Zhou, Ping Li:
Estimate the Implicit Likelihoods of GANs with Application to Anomaly Detection. WWW 2020: 2287-2297 - 2015
- [c4]Shaogang Ren, Shuai Huang, John A. Onofrey, Xenios Papademetris, Xiaoning Qian:
A Scalable Algorithm for Structured Kernel Feature Selection. AISTATS 2015 - [c3]Meltem Apaydin, Bo Zeng, Shaogang Ren, Xiaoning Qian:
A computationally efficient solution strategy for optimal gene knockouts for targeted overproduction. BCB 2015: 653-654 - 2014
- [c2]Shaogang Ren, Xiaoning Qian:
Structured sparse PCA to identify miRNA co-regulatory modules. ICASSP 2014: 2828-2832 - 2012
- [c1]Yun Lin, Shaogang Ren, Matthew Clevenger, Yu Sun:
Learning grasping force from demonstration. ICRA 2012: 1526-1531
Informal and Other Publications
- 2024
- [i7]Shaogang Ren, Xiaoning Qian:
Causal Bayesian Optimization via Exogenous Distribution Learning. CoRR abs/2402.02277 (2024) - [i6]Shaogang Ren, Xiaoning Qian:
Dynamic Incremental Optimization for Best Subset Selection. CoRR abs/2402.02322 (2024) - [i5]Ziyi Zhang, Shaogang Ren, Xiaoning Qian, Nick Duffield:
Towards Invariant Time Series Forecasting in Smart Cities. CoRR abs/2405.05430 (2024) - [i4]Ziyi Zhang, Shaogang Ren, Xiaoning Qian, Nick Duffield:
Learning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series Data. CoRR abs/2406.10419 (2024) - 2023
- [i3]Shaogang Ren, Dingcheng Li, Ping Li:
Word Embedding with Neural Probabilistic Prior. CoRR abs/2309.11824 (2023) - 2022
- [i2]Shaogang Ren, Belhal Karimi, Dingcheng Li, Ping Li:
Variational Flow Graphical Model. CoRR abs/2207.02722 (2022) - 2018
- [i1]Shaogang Ren, Jianhua Z. Huang, Shuai Huang, Xiaoning Qian:
Safe Active Feature Selection for Sparse Learning. CoRR abs/1806.05817 (2018)
Coauthor Index
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