| Interpretable machine learning for predicting biomethane production in industrial-scale anaerobic co-digestion D De Clercq, Z Wen, F Fei, L Caicedo, K Yuan, R Shang Science of the Total Environment 712, 134574, 2020 | 111 | 2020 |
| Machine learning powered software for accurate prediction of biogas production: A case study on industrial-scale Chinese production data D De Clercq, D Jalota, R Shang, K Ni, Z Zhang, A Khan, Z Wen, ... Journal of cleaner production 218, 390-399, 2019 | 94 | 2019 |
| Feature fusion network based on attention mechanism for 3D semantic segmentation of point clouds H Zhou, Z Fang, Y Gao, B Huang, C Zhong, R Shang Pattern Recognition Letters 133, 327-333, 2020 | 29 | 2020 |
| Why am I not seeing it? understanding users’ needs for counterfactual explanations in everyday recommendations R Shang, KJK Feng, C Shah Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 22 | 2022 |
| IntroBot: Exploring the use of chatbot-assisted familiarization in online collaborative groups D Shin, S Kim, R Shang, J Lee, G Hsieh Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023 | 3 | 2023 |
| How Do Analysts Understand and Verify AI-Assisted Data Analyses? K Gu, R Shang, T Althoff, C Wang, SM Drucker arXiv preprint arXiv:2309.10947, 2023 | 2 | 2023 |
| Giving and Receiving: Reciprocal Review Exchange in Online Fanfiction Communities R Shang, Z Xiao, J Frens, C Aragon Companion Publication of the 2021 Conference on Computer Supported …, 2021 | 2 | 2021 |
