| Deep Entity Matching with Pre-Trained Language Models Y Li, J Li, Y Suhara, AH Doan, WC Tan VLDB 2021, 2021 | 453 | 2021 |
| Measuring the predictability of life outcomes with a scientific mass collaboration MJ Salganik, I Lundberg, AT Kindel, CE Ahearn, K Al-Ghoneim, ... Proceedings of the National Academy of Sciences 117 (15), 8398-8403, 2020 | 333 | 2020 |
| Driver behavior profiling: An investigation with different smartphone sensors and machine learning J Ferreira, E Carvalho, BV Ferreira, C de Souza, Y Suhara, A Pentland, ... PLoS one 12 (4), e0174959, 2017 | 311 | 2017 |
| DeepMood: Forecasting Depressed Mood Based on Self-reported Histories via Recurrent Neural Networks Y Suhara, Y Xu, AS Pentland Proceedings of the 26th International Conference on World Wide Web, 715-724, 2017 | 212 | 2017 |
| Sato: Contextual Semantic Type Detection in Tables D Zhang, Y Suhara, J Li, M Hulsebos, Ç Demiralp, WC Tan PVLDB 2020, 2020 | 171 | 2020 |
| Annotating Columns with Pre-trained Language Models Y Suhara, J Li, Y Li, D Zhang, Ç Demiralp, C Chen, WC Tan SIGMOD 2022, 2022 | 135 | 2022 |
| Extractive opinion summarization in quantized transformer spaces S Angelidis, RK Amplayo, Y Suhara, X Wang, M Lapata Transactions of the Association for Computational Linguistics 9, 277-293, 2021 | 130 | 2021 |
| OpinionDigest: A Simple Framework for Opinion Summarization Y Suhara, X Wang, S Angelidis, WC Tan ACL 2020, 2020 | 86 | 2020 |
| Deep entity matching: Challenges and opportunities Y Li, J Li, Y Suhara, J Wang, W Hirota, WC Tan Journal of Data and Information Quality (JDIQ) 13 (1), 1-17, 2021 | 80 | 2021 |
| Exploiting the use of recurrent neural networks for driver behavior profiling E Carvalho, BV Ferreira, J Ferreira, C De Souza, HV Carvalho, Y Suhara, ... 2017 International Joint Conference on Neural Networks (IJCNN), 3016-3021, 2017 | 79 | 2017 |
| HappyDB: A corpus of 100,000 crowdsourced happy moments A Asai, S Evensen, B Golshan, A Halevy, V Li, A Lopatenko, D Stepanov, ... LREC 2018, 2018 | 58 | 2018 |
| Behavioral attributes and financial churn prediction E Kaya, X Dong, Y Suhara, S Balcisoy, B Bozkaya, A Pentland EPJ Data Science 7 (1), 41, 2018 | 56 | 2018 |
| Convex aggregation for opinion summarization H Iso, X Wang, Y Suhara, S Angelidis, WC Tan Findings of EMNLP 2021, 2021 | 47 | 2021 |
| Probabilistic identification of visited point-of-interest for personalized automatic check-in K Nishida, H Toda, T Kurashima, Y Suhara Proceedings of the 2014 ACM International Joint Conference on Pervasive and …, 2014 | 43 | 2014 |
| Social Bridges in Urban Purchase Behavior X Dong, Y Suhara, B Bozkaya, V Singh, B Lepri, A Pentland ACM Transactions on Intelligent Systems and Technolog 9 (3), 33:1--33:29, 2018 | 41 | 2018 |
| Large language models are inconsistent and biased evaluators R Stureborg, D Alikaniotis, Y Suhara arXiv preprint arXiv:2405.01724, 2024 | 35 | 2024 |
| ScamCoins, S*** Posters, and the Search for the Next BitcoinTM Collective Sensemaking in Cryptocurrency Discussions E Jahani, PM Krafft, Y Suhara, E Moro, AS Pentland Proceedings of the ACM on Human-Computer Interaction 2 (CSCW), 1-28, 2018 | 31 | 2018 |
| Personalized Visited-POI Assignment to Individual Raw GPS Trajectories J Suzuki, Y Suhara, H Toda, K Nishida ACM Transactions on Spatial Algorithms and Systems (TSAS), 2019 | 26 | 2019 |
| Validating gravity-based market share models using large-scale transactional data Y Suhara, M Bahrami, B Bozkaya, AS Pentland Big Data 9 (3), 188-202, 2021 | 25 | 2021 |
| Open Information Extraction from Question-Answer Pairs N Bhutani, Y Suhara, WC Tan, A Halevy, HV Jagadish NAACL 2019, 2019 | 25 | 2019 |
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