Shunan Zhang

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Michael LeeProfessor of Cognitive Sciences, University of California IrvineVerified email at uci.edu
Angela J. YuAvH AI Professor, Centre of Cognitive Science, TU DarmstadtVerified email at angelayu.org
Martin PaulusLaureate Institute For Brain ResearchVerified email at laureateinstitute.org
Katia M HarléUCSDVerified email at ucsd.edu
Mark SteyversUniversity of California, IrvineVerified email at uci.edu
Eric-Jan WagenmakersUniversity of AmsterdamVerified email at uva.nl
Joachim VandekerckhoveUniversity of California, IrvineVerified email at uci.edu
Tiffany HoUniversity of California, Los AngelesVerified email at psych.ucla.edu
Matthew D. SacchetAssociate Professor and Director, Meditation Research Program, Harvard Medical School / Mass GeneralVerified email at mgh.harvard.edu
Colm ConnollyFlorida State UniversityVerified email at med.fsu.edu
Laura K.M. HanAssistant ProfessorVerified email at amsterdamumc.nl
Dalin GuoGoogle DeepMindVerified email at deepmind.com
Susan TapertProfessor of Psychiatry, University of California San DiegoVerified email at health.ucsd.edu
Jennifer Lorraine StewartLaureate Institute for Brain ResearchVerified email at laureateinstitute.org
He (Crane) HuangMachine Learning Researcher at AppleVerified email at ucsd.edu
Derrik E. AsherSenior Research Psychologist, DEVCOM ARLVerified email at army.mil
Andrew ZaldivarUniversity of California, IrvineVerified email at uci.edu
Meng YUTencent AI LabVerified email at tencent.com
Jack XinChancellor's Professor of Mathematics, UC IrvineVerified email at uci.edu
Jeff KrichmarProfessor of Cognitive Sciences, Professor of Computer Science, University of California, IrvineVerified email at uci.edu

Shunan Zhang

Apple

Verified email at apple.com

cognitive science statistics machine learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Psychological models of human and optimal performance in bandit problems MD Lee, S Zhang, M Munro, M Steyvers Cognitive Systems Research 12 (2), 164-174, 2011	116	2011
Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting S Zhang, AJ Yu Advances in neural information processing systems 26, 2013	89	2013
User interfaces for cycle tracking A Dryer, G Agrawal, RB Brittain, V Carr, D Cavander, CL Curry, ... US Patent 11,209,957, 2021	69	2021
Skin and bones: The contribution of skin tone and facial structure to racial prototypicality ratings MA Strom, LA Zebrowitz, S Zhang, PM Bronstad, HK Lee PLoS One 7 (7), e41193, 2012	67	2012
The wisdom of the crowd playing The Price Is Right MD Lee, S Zhang, J Shi Memory & cognition 39, 914-923, 2011	57	2011
Time-varying boundaries for diffusion models of decision making and response time S Zhang, MD Lee, J Vandekerckhove, G Maris, EJ Wagenmakers Frontiers in psychology 5, 1364, 2014	50	2014
Fusiform gyrus dysfunction is associated with perceptual processing efficiency to emotional faces in adolescent depression: a model-based approach TC Ho, S Zhang, MD Sacchet, H Weng, CG Connolly, E Henje Blom, ... Frontiers in psychology 7, 40, 2016	46	2016
Altered statistical learning and decision-making in methamphetamine dependence: evidence from a two-armed bandit task KM Harlé, S Zhang, M Schiff, S Mackey, MP Paulus, AJ Yu Frontiers in psychology 6, 1910, 2015	44	2015
Anhedonia and anxiety underlying depressive symptomatology have distinct effects on reward-based decision-making KM Harlé, D Guo, S Zhang, MP Paulus, AJ Yu PloS one 12 (10), e0186473, 2017	41	2017
Evaluating the coherence of Take-the-best in structured environments MD Lee, S Zhang Judgment and decision Making 7 (4), 360-372, 2012	35	2012
Reduced neural recruitment for Bayesian adjustment of inhibitory control in methamphetamine dependence KM Harlé, S Zhang, N Ma, JY Angela, MP Paulus Biological psychiatry: cognitive neuroscience and neuroimaging 1 (5), 448-459, 2016	34	2016
Bayesian neural adjustment of inhibitory control predicts emergence of problem stimulant use KM Harle, JL Stewart, S Zhang, SF Tapert, AJ Yu, MP Paulus Brain 138 (11), 3413-3426, 2015	31	2015
Optimal experimental design for a class of bandit problems S Zhang, MD Lee Journal of Mathematical Psychology 54 (6), 499-508, 2010	31	2010
Sequential effects: A Bayesian analysis of prior bias on reaction time and behavioral choice S Zhang, HC Huang, AJ Yu Proceedings of the Annual Meeting of the Cognitive Science Society 36 (36), 2014	30	2014
User interfaces for cycle tracking A Dryer, G Agrawal, RB Brittain, V Carr, D Cavander, C Curry, CB Naguit, ... US Patent App. 16/888,780, 2020	27	2020
prep: An agony in five fits GJ Iverson, MD Lee, S Zhang, EJ Wagenmakers Journal of Mathematical Psychology 53 (4), 195-202, 2009	24	2009
Cheap but clever: Human active learning in a bandit setting S Zhang, A Yu Proceedings of the Annual Meeting of the Cognitive Science Society 35 (35), 2013	21	2013
Cognitive models and the wisdom of crowds: A case study using the bandit problem S Zhang, M Lee Proceedings of the annual meeting of the cognitive science society 32 (32), 2010	15	2010
Abnormal uterine bleeding patterns determined through menstrual tracking among participants in the Apple Women’s Health Study CY Zhang, H Li, S Zhang, S Suharwardy, U Chaturvedi, T Fischer-Colbrie, ... American journal of obstetrics and gynecology 228 (2), 213. e1-213. e22, 2023	11	2023
User interfaces for cycle tracking A Dryer, G Agrawal, RB Brittain, V Carr, D Cavander, C Curry, ... US Patent App. 17/952,182, 2023	9	2023

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