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Brian Chen
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Brian Chen 0001 — Columbia University, NY, USA
- Brian Chen 0002 — Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, USA
- Brian Chen 0003 — Rowan University, College of Science and Mathematics, Glassboro, NJ, USA
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2020 – today
- 2024
- [j4]Xuening Dong, Brian Chen, Roman Genov, Mostafa Rahimi Azghadi, Amirali Amirsoleimani:
SITU: Stochastic input encoding and weight update thresholding for efficient memristive neural network in-situ training. Neurocomputing 605: 128275 (2024) - [j3]Brian Chen, Doruk Aksoy, David J. Gorsich, Shravan K. Veerapaneni, Alex A. Gorodetsky:
Low-Rank Tensor-Network Encodings for Video-to-Action Behavioral Cloning. Trans. Mach. Learn. Res. 2024 (2024) - [i7]Mrinal Verghese, Brian Chen, Hamid Eghbalzadeh, Tushar Nagarajan, Ruta Desai:
User-in-the-loop Evaluation of Multimodal LLMs for Activity Assistance. CoRR abs/2408.03160 (2024) - 2023
- [c14]Rishi Hazra, Brian Chen, Akshara Rai, Nitin Kamra, Ruta Desai:
EgoTV: Egocentric Task Verification from Natural Language Task Descriptions. ICCV 2023: 15371-15383 - [c13]Brian Chen, Nafis Mustakin, Alvin Hoang, Sakib Fuad, Daniel Wong:
VSCuda: LLM based CUDA extension for Visual Studio Code. SC Workshops 2023: 11-17 - [i6]Rishi Hazra, Brian Chen, Akshara Rai, Nitin Kamra, Ruta Desai:
EgoTV: Egocentric Task Verification from Natural Language Task Descriptions. CoRR abs/2303.16975 (2023) - 2022
- [c12]Brian Chen, Yevgeniy Dodis, Esha Ghosh, Eli Goldin, Balachandar Kesavan, Antonio Marcedone, Merry Ember Mou:
Rotatable Zero Knowledge Sets - Post Compromise Secure Auditable Dictionaries with Application to Key Transparency. ASIACRYPT (3) 2022: 547-580 - [c11]Graeme Dickerson-Southworth, Brian Chen, James Braman:
Securing the Accounts of the Deceased: Implications of Compromised Profiles. HCI (40) 2022: 467-472 - [c10]Houliang Zhou, Lifang He, Yu Zhang, Li Shen, Brian Chen:
Interpretable Graph Convolutional Network Of Multi-Modality Brain Imaging For Alzheimer's Disease Diagnosis. ISBI 2022: 1-5 - [i5]James Stokes, Brian Chen, Shravan K. Veerapaneni:
Numerical and geometrical aspects of flow-based variational quantum Monte Carlo. CoRR abs/2203.14824 (2022) - [i4]Houliang Zhou, Lifang He, Yu Zhang, Li Shen, Brian Chen:
Interpretable Graph Convolutional Network of Multi-Modality Brain Imaging for Alzheimer's Disease Diagnosis. CoRR abs/2204.13188 (2022) - [i3]Brian Chen, Yevgeniy Dodis, Esha Ghosh, Eli Goldin, Balachandar Kesavan, Antonio Marcedone, Merry Ember Mou:
Rotatable Zero Knowledge Sets: Post Compromise Secure Auditable Dictionaries with application to Key Transparency. IACR Cryptol. ePrint Arch. 2022: 1264 (2022) - 2021
- [c9]Brian Chen, Siddhant Tandon, David J. Gorsich, Alex A. Gorodetsky, Shravan K. Veerapaneni:
Behavioral Cloning in Atari Games Using a Combined Variational Autoencoder and Predictor Model. CEC 2021: 2077-2084 - [c8]Brian Chen, Golara Javadi, Amoon Jamzad, Alexander Hamilton, Stephanie Sibley, Purang Abolmaesumi, David Maslove, Parvin Mousavi:
Detecting Atrial Fibrillation in ICU Telemetry data with Weak Labels. MLHC 2021: 176-195 - [c7]Tianchen Zhao, Saibal De, Brian Chen, James Stokes, Shravan K. Veerapaneni:
Overcoming barriers to scalability in variational quantum Monte Carlo. SC 2021: 62 - [i2]Tianchen Zhao, Saibal De, Brian Chen, James Stokes, Shravan K. Veerapaneni:
Overcoming barriers to scalability in variational quantum Monte Carlo. CoRR abs/2106.13308 (2021) - 2020
- [i1]Tianchen Zhao, James Stokes, Oliver Knitter, Brian Chen, Shravan K. Veerapaneni:
Meta Variational Monte Carlo. CoRR abs/2011.10614 (2020)
2010 – 2019
- 2019
- [c6]Brian Chen, Hwee-Pink Tan, Iris Rawtaer, Hwee-Xian Tan:
Objective Sleep Quality as a Predictor of Mild Cognitive Impairment in Seniors Living Alone. IEEE BigData 2019: 1619-1624 - 2017
- [j2]Jing He, Nurit Haspel, Brian Chen:
Preface: Selected Articles from 2015 Computational Structural Bioinformatics Workshop. J. Comput. Biol. 24(1): 1 (2017) - 2016
- [c5]Matthew R. Guthaus, James E. Stine, Samira Ataei, Brian Chen, Bin Wu, Mehedi Sarwar:
OpenRAM: an open-source memory compiler. ICCAD 2016: 93 - 2015
- [j1]Jing He, Amarda Shehu, Nurit Haspel, Brian Chen:
The 7th Computational Structural Bioinformatics Workshop. J. Comput. Biol. 22(9): 785-786 (2015) - [e1]Jun Huan, Satoru Miyano, Amarda Shehu, Xiaohua Tony Hu, Bin Ma, Sanguthevar Rajasekaran, Vijay K. Gombar, Matthieu-P. Schapranow, Illhoi Yoo, Jiayu Zhou, Brian Chen, Vinay Pai, Brian G. Pierce:
2015 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015, Washington, DC, USA, November 9-12, 2015. IEEE Computer Society 2015, ISBN 978-1-4673-6799-8 [contents] - 2013
- [c4]Trent McConaghy, Brian Chen:
Variation and analog modeling. CICC 2013: 1 - 2012
- [c3]Colin C. McAndrew, Brian Chen:
Behavioral modeling for RF and AMS. CICC 2012: 1 - 2011
- [c2]Yung-Chin Tsao, Brian Chen, Yen-Pang Yang:
A Study on the Expected Image and Relevant Design Techniques in Different Product-Use Stages. HCI (10) 2011: 655-663
2000 – 2009
- 2008
- [c1]Gennady Gildenblat, Brian Chen:
Session 11 - Compact modeling. CICC 2008
Coauthor Index
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last updated on 2024-10-07 21:16 CEST by the dblp team
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