Brian Chen

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 43

Top Venues

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

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 (2024)
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)
Brian Chen, Ramprasaath R. Selvaraju, Shih-Fu Chang, Juan Carlos Niebles, Nikhil Naik
PreViTS: Contrastive Pretraining with Video Tracking Supervision. WACV (2023)
Brian Chen, Nina Shvetsova, Andrew Rouditchenko, Daniel Kondermann, Samuel Thomas, Shih-Fu Chang, Rogério Feris, James R. Glass, Hilde Kuehne
What, when, and where? - Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions. CoRR (2023)
Brian Chen, Nafis Mustakin, Alvin Hoang, Sakib Fuad, Daniel Wong
VSCuda: LLM based CUDA extension for Visual Studio Code. SC Workshops (2023)
Rishi Hazra, Brian Chen, Akshara Rai, Nitin Kamra, Ruta Desai
EgoTV: Egocentric Task Verification from Natural Language Task Descriptions. CoRR (2023)
Rishi Hazra, Brian Chen, Akshara Rai, Nitin Kamra, Ruta Desai
EgoTV: Egocentric Task Verification from Natural Language Task Descriptions. ICCV (2023)
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)
James Stokes, Brian Chen, Shravan K. Veerapaneni
Numerical and geometrical aspects of flow-based variational quantum Monte Carlo. CoRR (2022)
Long Chen, Yulei Niu, Brian Chen, Xudong Lin, Guangxing Han, Christopher Thomas, Hammad A. Ayyubi, Heng Ji, Shih-Fu Chang
Weakly-Supervised Temporal Article Grounding. EMNLP (2022)
Nina Shvetsova, Brian Chen, Andrew Rouditchenko, Samuel Thomas, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Hilde Kuehne
Everything at Once - Multi-modal Fusion Transformer for Video Retrieval. CVPR (2022)
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 (2022)
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 (2022)
Long Chen, Yulei Niu, Brian Chen, Xudong Lin, Guangxing Han, Christopher Thomas, Hammad A. Ayyubi, Heng Ji, Shih-Fu Chang
Weakly-Supervised Temporal Article Grounding. CoRR (2022)
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)
Graeme Dickerson-Southworth, Brian Chen, James Braman
Securing the Accounts of the Deceased: Implications of Compromised Profiles. HCI (40) (2022)
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)
Andrew Rouditchenko, Angie W. Boggust, David Harwath, Brian Chen, Dhiraj Joshi, Samuel Thomas, Kartik Audhkhasi, Hilde Kuehne, Rameswar Panda, Rogério Schmidt Feris, Brian Kingsbury, Michael Picheny, Antonio Torralba, James R. Glass
AVLnet: Learning Audio-Visual Language Representations from Instructional Videos. Interspeech (2021)
Nina Shvetsova, Brian Chen, Andrew Rouditchenko, Samuel Thomas, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Hilde Kuehne
Everything at Once - Multi-modal Fusion Transformer for Video Retrieval. CoRR (2021)
Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne, Samuel Thomas, Angie W. Boggust, Rameswar Panda, Brian Kingsbury, Rogério Schmidt Feris, David Harwath, James R. Glass, Michael Picheny, Shih-Fu Chang
Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. CoRR (2021)
Brian Chen, Xudong Lin, Christopher Thomas, Manling Li, Shoya Yoshida, Lovish Chum, Heng Ji, Shih-Fu Chang
Joint Multimedia Event Extraction from Video and Article. CoRR (2021)
Brian Chen, Xudong Lin, Christopher Thomas, Manling Li, Shoya Yoshida, Lovish Chum, Heng Ji, Shih-Fu Chang
Joint Multimedia Event Extraction from Video and Article. EMNLP (Findings) (2021)
Kevin Duarte, Brian Chen, Nina Shvetsova, Andrew Rouditchenko, Samuel Thomas, Alexander Liu, David Harwath, James R. Glass, Hilde Kuehne, Mubarak Shah
Routing with Self-Attention for Multimodal Capsule Networks. CoRR (2021)
Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne, Samuel Thomas, Angie W. Boggust, Rameswar Panda, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Michael Picheny, Shih-Fu Chang
Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. ICCV (2021)
Andrew Rouditchenko, Angie W. Boggust, David Harwath, Samuel Thomas, Hilde Kuehne, Brian Chen, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, James R. Glass
Cascaded Multilingual Audio-Visual Learning from Videos. Interspeech (2021)
Andrew Rouditchenko, Angie W. Boggust, David Harwath, Samuel Thomas, Hilde Kuehne, Brian Chen, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, James R. Glass
Cascaded Multilingual Audio-Visual Learning from Videos. CoRR (2021)
Haoyang Wen, Ying Lin, Tuan Lai, Xiaoman Pan, Sha Li, Xudong Lin, Ben Zhou, Manling Li, Haoyu Wang, Hongming Zhang, Xiaodong Yu, Alexander Dong, Zhenhailong Wang, Yi Fung, Piyush Mishra, Qing Lyu, Dídac Surís, Brian Chen, Susan Windisch Brown, Martha Palmer, Chris Callison-Burch, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Heng Ji
RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System. NAACL-HLT (Demonstrations) (2021)
Tianchen Zhao, Saibal De, Brian Chen, James Stokes, Shravan Veerapaneni
Overcoming barriers to scalability in variational quantum Monte Carlo. CoRR (2021)
Brian Chen, Siddhant Tandon, David J. Gorsich, Alex Gorodetsky, Shravan Veerapaneni
Behavioral Cloning in Atari Games Using a Combined Variational Autoencoder and Predictor Model. CEC (2021)
Brian Chen, Ramprasaath R. Selvaraju, Shih-Fu Chang, Juan Carlos Niebles, Nikhil Naik
PreViTS: Contrastive Pretraining with Video Tracking Supervision. CoRR (2021)
Tianchen Zhao, Saibal De, Brian Chen, James Stokes, Shravan Veerapaneni
Overcoming barriers to scalability in variational quantum Monte Carlo. SC (2021)
Brian Chen, Bo Wu, Alireza Zareian, Hanwang Zhang, Shih-Fu Chang
General Partial Label Learning via Dual Bipartite Graph Autoencoder. AAAI (2020)
Holli-Joi Sullivan, Brian Chen, Chun Wu
Molecular Dynamics Study on the Binding of an Anticancer DNA G-Quadruplex Stabilizer, CX-5461, to Human Telomeric, c-KIT1, and c-Myc G-Quadruplexes and a DNA Duplex. J. Chem. Inf. Model. 60 (10) (2020)
Manling Li, Alireza Zareian, Ying Lin, Xiaoman Pan, Spencer Whitehead, Brian Chen, Bo Wu, Heng Ji, Shih-Fu Chang, Clare R. Voss, Daniel Napierski, Marjorie Freedman
GAIA: A Fine-grained Multimedia Knowledge Extraction System. ACL (demo) (2020)
Brian Chen, Bo Wu, Alireza Zareian, Hanwang Zhang, Shih-Fu Chang
General Partial Label Learning via Dual Bipartite Graph Autoencoder. CoRR (2020)
Tianchen Zhao, James Stokes, Oliver Knitter, Brian Chen, Shravan Veerapaneni
Meta Variational Monte Carlo. CoRR (2020)
Manling Li, Ying Lin, Ananya Subburathinam, Spencer Whitehead, Xiaoman Pan, Di Lu, Qingyun Wang, Tongtao Zhang, Lifu Huang, Heng Ji, Alireza Zareian, Hassan Akbari, Brian Chen, Bo Wu, Emily Allaway, Shih-Fu Chang, Kathleen R. McKeown, Yixiang Yao, Jennifer Chen, Eric Berquist, Kexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Pedro A. Szekely, T. K. Satish Kumar, Arka Sadhu, Ram Nevatia, Miguel E. Rodríguez, Yifan Wang, Yang Bai, Ali Sadeghian, Daisy Zhe Wang
GAIA at SM-KBP 2019 - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System. TAC (2019)
Hassan Akbari, Svebor Karaman, Surabhi Bhargava, Brian Chen, Carl Vondrick, Shih-Fu Chang
Multi-Level Multimodal Common Semantic Space for Image-Phrase Grounding. CVPR (2019)
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)
Tongtao Zhang, Ananya Subburathinam, Ge Shi, Lifu Huang, Di Lu, Xiaoman Pan, Manling Li, Boliang Zhang, Qingyun Wang, Spencer Whitehead, Heng Ji, Alireza Zareian, Hassan Akbari, Brian Chen, Ruiqi Zhong, Steven Shao, Emily Allaway, Shih-Fu Chang, Kathleen R. McKeown, Dongyu Li, Xin Huang, Kexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Mayank Kejriwal, Ram Nevatia, Pedro A. Szekely, T. K. Satish Kumar, Ali Sadeghian, Giacomo Bergami, Sourav Dutta, Miguel E. Rodríguez, Daisy Zhe Wang
GAIA - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System. TAC (2018)
Hassan Akbari, Svebor Karaman, Surabhi Bhargava, Brian Chen, Carl Vondrick, Shih-Fu Chang
Multi-level Multimodal Common Semantic Space for Image-Phrase Grounding. CoRR (2018)
Jing He, Nurit Haspel, Brian Chen
Preface: Selected Articles from 2015 Computational Structural Bioinformatics Workshop. J. Comput. Biol. 24 (1) (2017)
Matthew R. Guthaus, James E. Stine, Samira Ataei, Brian Chen, Bin Wu, Mehedi Sarwar
OpenRAM: an open-source memory compiler. ICCAD (2016)
Jing He, Amarda Shehu, Nurit Haspel, Brian Chen
The 7th Computational Structural Bioinformatics Workshop. J. Comput. Biol. 22 (9) (2015)
Trent McConaghy, Brian Chen
Variation and analog modeling. CICC (2013)
Colin C. McAndrew, Brian Chen
Behavioral modeling for RF and AMS. CICC (2012)
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)
Gennady Gildenblat, Brian Chen
Session 11 - Compact modeling. CICC (2008)
Emin Martinian, Gregory W. Wornell, Brian Chen
Authentication with Distortion Criteria CoRR (2005)
Emin Martinian, Gregory W. Wornell, Brian Chen
Authentication with distortion criteria. IEEE Trans. Inf. Theory 51 (7) (2005)
Richard J. Barron, Brian Chen, Gregory W. Wornell
The duality between information embedding and source coding with side information and some applications. IEEE Trans. Inf. Theory 49 (5) (2003)
Emin Martinian, Brian Chen, Gregory W. Wornell
Information theoretic approach to the authentication of multimedia. Security and Watermarking of Multimedia Contents (2001)
Brian Chen, Carl-Erik W. Sundberg
List Viterbi algorithms for continuous transmission. IEEE Trans. Commun. 49 (5) (2001)
Brian Chen, Gregory W. Wornell
Quantization index modulation: A class of provably good methods for digital watermarking and information embedding. IEEE Trans. Inf. Theory 47 (4) (2001)
Brian Chen, Gregory W. Wornell
Quantization Index Modulation Methods for Digital Watermarking and Information Embedding of Multimedia. J. VLSI Signal Process. 27 (1-2) (2001)
Brian Chen, Carl-Erik W. Sundberg
Complementary punctured-pair convolutional codes for digital audio broadcasting. IEEE Trans. Commun. 48 (11) (2000)
Brian Chen, Carl-Erik W. Sundberg
An integrated error correction and detection system for digital audio broadcasting. IEEE Trans. Broadcast. 46 (1) (2000)
Brian Chen, Gregory W. Wornell
Preprocessed and postprocessed quantization index modulation methods for digital watermarking. Security and Watermarking of Multimedia Contents (2000)
Brian Chen, Carl-Erik W. Sundberg
Digital audio broadcasting in the FM band by means of contiguous band insertion and precanceling techniques. IEEE Trans. Commun. 48 (10) (2000)
Brian Chen, Gregory W. Wornell
An information-theoretic approach to the design of robust digital watermarking systems. ICASSP (1999)
Brian Chen, Carl-Erik W. Sundberg
Broadcasting data in the FM band by means of adaptive contiguous band insertion and precancelling techniques. ICC (1999)
Brian Chen, Gregory W. Wornell
Dither modulation: a new approach to digital watermarking and information embedding. Security and Watermarking of Multimedia Contents (1999)
Brian Chen, Gregory W. Wornell
Achievable Performance of Digital Watermarking Systems. ICMCS, Vol. 1 (1999)
Brian Chen, Gregory W. Wornell
Analog error-correcting codes based on chaotic dynamical systems. IEEE Trans. Commun. 46 (7) (1998)
Brian Chen, Gregory W. Wornell
Digital watermarking and information embedding using dither modulation. MMSP (1998)

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Publication Activity (10 Years)

Top Topics

Top Venues

Brian Chen