| Serendipity: Finger gesture recognition using an off-the-shelf smartwatch H Wen, J Ramos Rojas, AK Dey Proceedings of the 2016 CHI conference on human factors in computing systems …, 2016 | 224 | 2016 |
| Revisiting adversarially learned injection attacks against recommender systems J Tang, H Wen, K Wang Proceedings of the 14th ACM Conference on Recommender Systems, 318-327, 2020 | 71 | 2020 |
| 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 | 52 | 2019 |
| Float: one-handed and touch-free target selection on smartwatches K Sun, Y Wang, C Yu, Y Yan, H Wen, Y Shi Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems …, 2017 | 51 | 2017 |
| Using behavioral rhythms and multi-task learning to predict fine-grained symptoms of schizophrenia VWS Tseng, A Sano, D Ben-Zeev, R Brian, AT Campbell, M Hauser, ... Scientific reports 10 (1), 15100, 2020 | 47 | 2020 |
| Social sensing: assessing social functioning of patients living with schizophrenia using mobile phone sensing W Wang, S Mirjafari, G Harari, D Ben-Zeev, R Brian, T Choudhury, ... Proceedings of the 2020 CHI conference on human factors in computing systems …, 2020 | 41 | 2020 |
| Distributionally-robust recommendations for improving worst-case user experience H Wen, X Yi, T Yao, J Tang, L Hong, EH Chi Proceedings of the ACM Web Conference 2022, 3606-3610, 2022 | 36 | 2022 |
| Correcting the user feedback-loop bias for recommendation systems W Pan, S Cui, H Wen, K Chen, C Zhang, F Wang arXiv preprint arXiv:2109.06037, 2021 | 19 | 2021 |
| The Digital Marshmallow Test (DMT) diagnostic and monitoring mobile health app for impulsive behavior: development and validation study M Sobolev, R Vitale, H Wen, J Kizer, R Leeman, JP Pollak, A Baumel, ... JMIR mHealth and uHealth 9 (1), e25018, 2021 | 19 | 2021 |
| Exploring recommendations under user-controlled data filtering H Wen, L Yang, M Sobolev, D Estrin Proceedings of the 12th ACM Conference on Recommender Systems, 72-76, 2018 | 18 | 2018 |
| Investigating effects of post-selection feedback for acquiring ultra-small targets on touchscreen C Yu, H Wen, W Xiong, X Bi, Y Shi Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems …, 2016 | 15 | 2016 |
| mPulse mobile sensing model for passive detection of impulsive behavior: exploratory prediction study H Wen, M Sobolev, R Vitale, J Kizer, JP Pollak, F Muench, D Estrin JMIR Mental Health 8 (1), e25019, 2021 | 11 | 2021 |
| Evaluating music recommendations with binary feedback for multiple stakeholders S Stoikov, H Wen arXiv preprint arXiv:2109.07692, 2021 | 9 | 2021 |
| Identifying emerging mental illness utilizing search engine activity: a feasibility study ML Birnbaum, H Wen, A Van Meter, SK Ernala, AF Rizvi, E Arenare, ... Plos one 15 (10), e0240820, 2020 | 8 | 2020 |
| Podrecs: Workshop on podcast recommendations CW Chen, L Yang, H Wen, R Jones, V Radosavljevic, H Bouchard Proceedings of the 14th ACM Conference on Recommender Systems, 621-622, 2020 | 2 | 2020 |
| Modularizing deep neural network-inspired recommendation algorithms L Yang, E Bagdasaryan, H Wen Proceedings of the 12th ACM Conference on Recommender Systems, 533-534, 2018 | 2 | 2018 |
| GEMRec: Towards Generative Model Recommendation Y Guo, H Liu, H Wen Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | | 2024 |
| Diffusion Cocktail: Fused Generation from Diffusion Models H Liu, Y Guo, S Wang, H Wen arXiv preprint arXiv:2312.08873, 2023 | | 2023 |
| Towards Personalized Prompt-Model Retrieval for Generative Recommendation Y Guo, H Liu, H Wen arXiv preprint arXiv:2308.02205, 2023 | | 2023 |
| Correction: The Digital Marshmallow Test (DMT) Diagnostic and Monitoring Mobile Health App for Impulsive Behavior: Development and Validation Study M Sobolev, R Vitale, H Wen, J Kizer, R Leeman, JP Pollak, A Baumel, ... JMIR mHealth and uHealth 9 (1), e27439, 2021 | | 2021 |
Deborah EstrinProfessor of Computer Science, Cornell Tech, Cornell University在 cornell.edu 的电子邮件经过验证
