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Hongyi Wen
Hongyi Wen
Assistant Professor of Computer Science, NYU Shanghai
Bestätigte E-Mail-Adresse bei nyu.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
2142016
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
632020
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
502017
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
452019
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
382020
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
352020
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
282022
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
172021
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
172018
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
152021
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
152016
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
82021
Evaluating music recommendations with binary feedback for multiple stakeholders
S Stoikov, H Wen
arXiv preprint arXiv:2109.07692, 2021
72021
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
72020
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
22020
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
22018
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
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