Bingbin Liu

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引用	728	728
h 指数	9	9
i10 指数	8	8

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Li Fei-FeiProfessor of Computer Science, Stanford University在 cs.stanford.edu 的电子邮件经过验证
Juan Carlos NieblesResearch Director (Salesforce) & Adjunct Professor (Stanford University)在 cs.stanford.edu 的电子邮件经过验证
De-An HuangStanford University在 cs.stanford.edu 的电子邮件经过验证
Serena YeungStanford University在 stanford.edu 的电子邮件经过验证
Michelle GuoStanford University在 cs.stanford.edu 的电子邮件经过验证
Jeffrey K JoplingAssistant Professor of Surgery, Johns Hopkins Medicine在 jhmi.edu 的电子邮件经过验证
Rishab MehraResearcher in Machine Learning, Stanford University在 stanford.edu 的电子邮件经过验证
Andrej RisteskiCarnegie Mellon University在 andrew.cmu.edu 的电子邮件经过验证
Pradeep RavikumarProfessor, School of Computer Science, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Zhangjie CaoPh.D. of Computer Science, Stanford University在 stanford.edu 的电子邮件经过验证
Ehsan AdeliStanford University在 stanford.edu 的电子邮件经过验证
Adrien GaidonHead of Machine Learning Research, Toyota Research Institute (TRI)在 tri.global 的电子邮件经过验证
Jun-Ting HsiehCarnegie Mellon University在 andrew.cmu.edu 的电子邮件经过验证
Lance DowningClin Ast Prof, Stanford University在 stanford.edu 的电子邮件经过验证
Arnold MilsteinStanford University在 stanford.edu 的电子邮件经过验证
Gabriel M. BianconiStanford University在 stanford.edu 的电子邮件经过验证
Alexandre AlahiAssistant Professor, EPFL在 epfl.ch 的电子邮件经过验证
Edward ChouStanford University在 stanford.edu 的电子邮件经过验证
Abhijeet ShenoiStanford University在 stanford.edu 的电子邮件经过验证
Kuan-Hui LeeRivian在 rivian.com 的电子邮件经过验证

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Bingbin Liu

PhD Student in Machine Learning Department, Carnegie Mellon University

在 cs.cmu.edu 的电子邮件经过验证 - 首页

Machine Learning Computer Vision


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Learning to decompose and disentangle representations for video prediction JT Hsieh, B Liu, DA Huang, LF Fei-Fei, JC Niebles Advances in neural information processing systems 31, 2018	305	2018
Spatiotemporal relationship reasoning for pedestrian intent prediction B Liu, E Adeli, Z Cao, KH Lee, A Shenoi, A Gaidon, JC Niebles IEEE Robotics and Automation Letters 5 (2), 3485-3492, 2020	130	2020
A computer vision system for deep learning-based detection of patient mobilization activities in the ICU S Yeung, F Rinaldo, J Jopling, B Liu, R Mehra, NL Downing, M Guo, ... NPJ digital medicine 2 (1), 11, 2019	102	2019
Temporal modular networks for retrieving complex compositional activities in videos B Liu, S Yeung, E Chou, DA Huang, L Fei-Fei, JC Niebles Proceedings of the European Conference on Computer Vision (ECCV), 552-568, 2018	83	2018
Transformers learn shortcuts to automata B Liu, JT Ash, S Goel, A Krishnamurthy, C Zhang arXiv preprint arXiv:2210.10749, 2022	48	2022
3d point cloud-based visual prediction of icu mobility care activities B Liu, M Guo, E Chou, R Mehra, S Yeung, NL Downing, F Salipur, ... Machine Learning for Healthcare Conference, 17-29, 2018	12	2018
Analyzing and improving the optimization landscape of noise-contrastive estimation B Liu, E Rosenfeld, P Ravikumar, A Risteski arXiv preprint arXiv:2110.11271, 2021	11	2021
Spatiotemporal relationship reasoning for pedestrian intent prediction E Adeli-mosabbeb, K Lee, A Gaidon, B Liu, Z Cao, JC Niebles US Patent 11,205,082, 2021	10	2021
Generalized boosting A Suggala, B Liu, P Ravikumar Advances in neural information processing systems 33, 8787-8797, 2020	9	2020
Exposing Attention Glitches with Flip-Flop Language Modeling B Liu, JT Ash, S Goel, A Krishnamurthy, C Zhang arXiv preprint arXiv:2306.00946, 2023	5	2023
Masked prediction tasks: a parameter identifiability view B Liu, D Hsu, P Ravikumar, A Risteski arXiv preprint arXiv:2202.09305, 2022	5*	2022
Contrastive learning of strong-mixing continuous-time stochastic processes B Liu, P Ravikumar, A Risteski International Conference on Artificial Intelligence and Statistics, 3151-3159, 2021	4	2021
Transformers are uninterpretable with myopic methods: a case study with bounded Dyck grammars K Wen, Y Li, B Liu, A Risteski arXiv preprint arXiv:2312.01429, 2023	2*	2023
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation R Zhai, B Liu, A Risteski, Z Kolter, P Ravikumar arXiv preprint arXiv:2306.00788, 2023	2	2023
A Computer Vision System to Detect Bedside Patient Mobilization F Rinaldo, J Jopling, B Liu, R Mehra, L Downing, M Guo, G Bianconi, ... Nature Digital Medicine, 2019		2019
EE376A (Winter 2019) B Liu, JT Hsieh

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