| The effects of remote work on collaboration among information workers L Yang, D Holtz, S Jaffe, S Suri, S Sinha, J Weston, C Joyce, N Shah, ... Nature human behaviour 6 (1), 43-54, 2022 | 944 | 2022 |
| Collaborative metric learning CK Hsieh, L Yang, Y Cui, TY Lin, S Belongie, D Estrin Proceedings of the 26th international conference on world wide web, 193-201, 2017 | 628 | 2017 |
| Unbiased offline recommender evaluation for missing-not-at-random implicit feedback L Yang, Y Cui, Y Xuan, C Wang, S Belongie, D Estrin Proceedings of the 12th ACM conference on recommender systems, 279-287, 2018 | 233 | 2018 |
| Yum-me: a personalized nutrient-based meal recommender system L Yang, CK Hsieh, H Yang, N Dell, S Belongie, D Estrin ACM Transactions on Information Systems (TOIS) 36 (1), 7, 2017 | 226 | 2017 |
| Large scale analysis of multitasking behavior during remote meetings H Cao, CJ Lee, S Iqbal, M Czerwinski, PNY Wong, S Rintel, B Hecht, ... Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems …, 2021 | 175 | 2021 |
| Learning fair node representations with graph counterfactual fairness J Ma, R Guo, M Wan, L Yang, A Zhang, J Li Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 98 | 2022 |
| Immersive recommendation: News and event recommendations using personal digital traces CK Hsieh, L Yang, H Wei, M Naaman, D Estrin Proceedings of the 25th International Conference on World Wide Web, 51-62, 2016 | 81 | 2016 |
| Learning causal effects on hypergraphs J Ma, M Wan, L Yang, J Li, B Hecht, J Teevan Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 73 | 2022 |
| Inferring occupancy from opportunistically available sensor data L Yang, K Ting, MB Srivastava 2014 IEEE International Conference on Pervasive Computing and Communications …, 2014 | 71 | 2014 |
| Openrec: A modular framework for extensible and adaptable recommendation algorithms L Yang, E Bagdasaryan, J Gruenstein, CK Hsieh, D Estrin Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018 | 69 | 2018 |
| Leveraging post-click feedback for content recommendations H Wen, L Yang, D Estrin Proceedings of the 13th ACM Conference on Recommender Systems, 278-286, 2019 | 63 | 2019 |
| Microsoft new future of work report 2022 J Teevan, N Baym, J Butler, B Hecht, S Jaffe, K Nowak, A Sellen, L Yang, ... Jenna Butler (Senior Applied Research Scientist), 2022 | 53 | 2022 |
| The new future of work: Research from Microsoft into the Pandemic’s Impact on Work Practices J Teevan, B Hecht, S Jaffe, N Baym, R Bergmann, M Brodsky, B Buxton, ... Retrieved March 4, 2022, 2021 | 52 | 2021 |
| Plateclick: Bootstrapping food preferences through an adaptive visual interface L Yang, Y Cui, F Zhang, JP Pollak, S Belongie, D Estrin Proceedings of the 24th acm international on conference on information and …, 2015 | 51 | 2015 |
| Leveraging multi-modal sensing for mobile health: a case review in chronic pain MSH Aung, F Alquaddoomi, CK Hsieh, M Rabbi, L Yang, JP Pollak, ... IEEE journal of selected topics in signal processing 10 (5), 962-974, 2016 | 42 | 2016 |
| Current challenges and future directions in podcast information access R Jones, H Zamani, M Schedl, CW Chen, S Reddy, A Clifton, J Karlgren, ... Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 36 | 2021 |
| Personalizing user experiences with electronic content based on user representations learned from application usage data M Hoffman, L Yang, H Jin, C Fang US Patent 10,614,381, 2020 | 34 | 2020 |
| Understanding user interactions with podcast recommendations delivered via voice L Yang, M Sobolev, C Tsangouri, D Estrin Proceedings of the 12th ACM Conference on Recommender Systems, 190-194, 2018 | 32 | 2018 |
| More than just words: Modeling non-textual characteristics of podcasts L Yang, Y Wang, D Dunne, M Sobolev, M Naaman, D Estrin Proceedings of the Twelfth ACM International Conference on Web Search and …, 2019 | 31 | 2019 |
| Using large language models to generate, validate, and apply user intent taxonomies C Shah, RW White, R Andersen, G Buscher, S Counts, SSS Das, ... arXiv preprint arXiv:2309.13063, 2023 | 30 | 2023 |
Deborah EstrinProfessor of Computer Science, Cornell Tech, Cornell UniversityEmail verificata su cornell.edu