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Author search results
Exact matches
- Brian Lee — disambiguation page
- Brian Lee 0001
aka: Brian A. Lee 0001
Athlone Institute of Technology (AIT), Software Research Institute, Ireland - Brian Lee 0002
aka: Brian A. Lee 0002
Palantir Technologies, Palo Alto, CA, USA - Brian Lee 0003
ChangXin Memory Technologies, Inc. (CXMT), Design Center, Hefei, China - Brian Lee 0005
Deloitte Consulting LLP, Atlanta, GA, USA - show all
Likely matches
- Ki Myung Brian Lee
University of Technology Sydney, NSW, Sydney, Australia - Brian Lees
- Brian T. Lee
University of California Santa Cruz, Genomics Institute, CA, USA
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Publication search results
found 1,096 matches
- 2024
- Xi Lan, Yuansong Qiao, Brian Lee:
Multiagent Hierarchical Reinforcement Learning With Asynchronous Termination Applied to Robotic Pick and Place. IEEE Access 12: 78988-79002 (2024) - Sunhyung Yoo, Hyun Kim, Jinwoo Brian Lee:
Combining Reinforcement Learning With Genetic Algorithm for Many-To-Many Route Optimization of Autonomous Vehicles. IEEE Access 12: 26931-26942 (2024) - Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Christopher Felicelli, Jeffery Goldstein, Brian Vadasz, Rafael Molina, Aggelos K. Katsaggelos:
Learning from crowds for automated histopathological image segmentation. Comput. Medical Imaging Graph. 112: 102327 (2024) - John J. Karnes, Andrew J. Pascall, Christoph Rehbock, Vaijayanthi Ramesh, Marcus A. Worsley, Stephan Barcikowski, Elaine Lee, Brian Giera:
Particle-based simulations of electrophoretic deposition with adaptive physics models. Comput. Phys. Commun. 297: 109062 (2024) - Ali Ahmed, Amit Deokar, Ho Cheung Brian Lee, Nichalin S. Summerfield:
The role of commitment in online reputation systems: An empirical study of express delivery promise in an E-commerce platform. Decis. Support Syst. 176: 114061 (2024) - Anan Jin, Yuhang Ye, Brian Lee, Yuansong Qiao:
Topology analysis of the Ripple transaction network. Int. J. Netw. Manag. 34(2) (2024) - Ifeoluwapo Aribilola, Brian Lee, Mamoona Naveed Asghar:
Pixel tampering detection in encrypted surveillance videos on resource-constrained devices. Internet Things 25: 101058 (2024) - Xiaonan He, Yuansong Qiao, Brian Lee, Yuhang Ye:
A comparative study of super-resolution algorithms for video streaming application. Multim. Tools Appl. 83(14): 43493-43512 (2024) - Seoyeon Ham, Soe Lin Paing, Brian Byunghyun Kang, Hyunglae Lee, Wansoo Kim:
Design and Validation of Soft Sliding Structure With Adjustable Stiffness for Ankle Sprain Prevention. IEEE Robotics Autom. Lett. 9(2): 947-954 (2024) - Suyoung Kang, Ryan Soussan, Daekyeong Lee, Brian Coltin, Andres Mora Vargas, Marina Moreira, Katie Browne, Ruben Garcia, Maria Bualat, Trey Smith, Jonathan Barlow, Jose Benavides, Eunju Jeong, Pyojin Kim:
Astrobee ISS Free-Flyer Datasets for Space Intra-Vehicular Robot Navigation Research. IEEE Robotics Autom. Lett. 9(4): 3307-3314 (2024) - Jaekwon Lee, Seung Yeob Shin, Lionel C. Briand, Shiva Nejati:
Probabilistic Safe WCET Estimation for Weakly Hard Real-time Systems at Design Stages. ACM Trans. Softw. Eng. Methodol. 33(2): 32:1-32:34 (2024) - Brian Zhou, Jason Geder, Kamal Viswanath, Alisha Sharma, Julian Lee:
Power-Aware Inverse-Search Machine Learning for Low Resource Multi-Objective Unmanned Underwater Vehicle Control (Student Abstract). AAAI 2024: 23714-23716 - Vijeta Deshpande, Minhwa Lee, Zonghai Yao, Zihao Zhang, Jason Brian Gibbons, Hong Yu:
LocalTweets to LocalHealth: A Mental Health Surveillance Framework Based on Twitter Data. LREC/COLING 2024: 10698-10715 - Xi Lan, Yuansong Qiao, Brian Lee:
Application of Multi Agent Reinforcement Learning to Robotic Pick and Place System. ICARA 2024: 1-6 - Andrea Palmieri, Mahdi Tavakoli, Chi Ching, Wenkai Zheng, Shi You, Xiaodong Zhang, Davide Cornigli, Michael Haverty, Navneet Singh, Luca Larcher, Monika Jamieson, Ajay Bhatnagar, Alexander Jansen, Max Gage, Jianshe Tang, Sameer Deshpande, Brian Brown, Arun Srivatsa, Mehul Naik, Bo Xie, Jerry Gelatos, Joung Joo Lee, Xianmin Tang, Gaurav Thareja, Milan Pesic:
Characterization and Multiscale Modeling of TDDB in State-of-the-art BEOL. IRPS 2024: 10 - Yinghong Zhao, Hokyung Park, Ki-Don Lee, Liangshan Chen, Manisha Sharma, Sugento Huandra, Hanson Mao, Brian Filemyr Smith, Wei Xia, Joonah Yoon, Junehwan Kim, Myungsoo Yeo, Shin-Young Chung, Ju Kwang Kim:
Impacts of Post-Cu CMP Queue Time on Reliability. IRPS 2024: 1-5 - Brian Harrington, Sharon Alex, Leon Lee, Colin Lin, Zixiao Ren, Youxin Tan, Conroy Trinh, Shengsong Xu, Austin Yang:
A Systematic Literature Mapping of COVID-19 Papers in Computer Science Education. SIGCSE (2) 2024: 1668-1669 - Seung-Woo Nam, Dongyeon Kim, Suyeon Choi, Juhyun Lee, Siwoo Lee, Manu Gopakumar, Brian Chao, Gordon Wetzstein, Yoonchan Jeong:
Holographic Parallax. SIGGRAPH Emerging Technologies 2024: 11 - Michael Ahn, Debidatta Dwibedi, Chelsea Finn, Montse Gonzalez Arenas, Keerthana Gopalakrishnan, Karol Hausman, Brian Ichter, Alex Irpan, Nikhil J. Joshi, Ryan Julian, Sean Kirmani, Isabel Leal, Tsang-Wei Edward Lee, Sergey Levine, Yao Lu, Sharath Maddineni, Kanishka Rao, Dorsa Sadigh, Pannag Sanketi, Pierre Sermanet, Quan Vuong, Stefan Welker, Fei Xia, Ted Xiao, Peng Xu, Steve Xu, Zhuo Xu:
AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents. CoRR abs/2401.12963 (2024) - Hanxue Gu, Roy J. Colglazier, Haoyu Dong, Jikai Zhang, Yaqian Chen, Zafer Yildiz, Yuwen Chen, Lin Li, Jichen Yang, Jay Willhite, Alex M. Meyer, Brian Guo, Yashvi Atul Shah, Emily Luo, Shipra Rajput, Sally Kuehn, Clark Bulleit, Kevin A. Wu, Jisoo Lee, Brandon Ramirez, Darui Lu, Jay M. Levin, Maciej A. Mazurowski:
SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI. CoRR abs/2401.12974 (2024) - Tuan Anh Le, Pavel Sountsov, Matthew D. Hoffman, Ben Lee, Brian Patton, Rif A. Saurous:
Robust Inverse Graphics via Probabilistic Inference. CoRR abs/2402.01915 (2024) - Brian Etter, James Lee Hu, Mohammedreza Ebrahimi, Weifeng Li, Xin Li, Hsinchun Chen:
Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach. CoRR abs/2402.02600 (2024) - Gavin Leech, Simson Garfinkel, Misha Yagudin, Alexander Briand, Aleksandr Zhuravlev:
Ten Hard Problems in Artificial Intelligence We Must Get Right. CoRR abs/2402.04464 (2024) - Soroush Nasiriany, Fei Xia, Wenhao Yu, Ted Xiao, Jacky Liang, Ishita Dasgupta, Annie Xie, Danny Driess, Ayzaan Wahid, Zhuo Xu, Quan Vuong, Tingnan Zhang, Tsang-Wei Edward Lee, Kuang-Huei Lee, Peng Xu, Sean Kirmani, Yuke Zhu, Andy Zeng, Karol Hausman, Nicolas Heess, Chelsea Finn, Sergey Levine, Brian Ichter:
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs. CoRR abs/2402.07872 (2024) - Jacky Liang, Fei Xia, Wenhao Yu, Andy Zeng, Montserrat Gonzalez Arenas, Maria Attarian, Maria Bauzá, Matthew Bennice, Alex Bewley, Adil Dostmohamed, Chuyuan Kelly Fu, Nimrod Gileadi, Marissa Giustina, Keerthana Gopalakrishnan, Leonard Hasenclever, Jan Humplik, Jasmine Hsu, Nikhil J. Joshi, Ben Jyenis, J. Chase Kew, Sean Kirmani, Tsang-Wei Edward Lee, Kuang-Huei Lee, Assaf Hurwitz Michaely, Joss Moore, Ken Oslund, Dushyant Rao, Allen Z. Ren, Baruch Tabanpour, Quan Vuong, Ayzaan Wahid, Ted Xiao, Ying Xu, Vincent Zhuang, Peng Xu, Erik Frey, Ken Caluwaerts, Tingnan Zhang, Brian Ichter, Jonathan Tompson, Leila Takayama, Vincent Vanhoucke, Izhak Shafran, Maja J. Mataric, Dorsa Sadigh, Nicolas Heess, Kanishka Rao, Nik Stewart, Jie Tan, Carolina Parada:
Learning to Learn Faster from Human Feedback with Language Model Predictive Control. CoRR abs/2402.11450 (2024) - Vijeta Deshpande, Minhwa Lee, Zonghai Yao, Zihao Zhang, Jason Brian Gibbons, Hong Yu:
LocalTweets to LocalHealth: A Mental Health Surveillance Framework Based on Twitter Data. CoRR abs/2402.13452 (2024) - Brian Lester, Jaehoon Lee, Alex Alemi, Jeffrey Pennington, Adam Roberts, Jascha Sohl-Dickstein, Noah Constant:
Training LLMs over Neurally Compressed Text. CoRR abs/2404.03626 (2024) - Anahita Fathi Kazerooni, Nastaran Khalili, Deep Gandhi, Xinyang Liu, Zhifan Jiang, Syed Muhammed Anwar, Jake Albrecht, Maruf Adewole, Udunna Anazodo, Hannah Anderson, Sina Bagheri, Ujjwal Baid, Timothy Bergquist, Austin J. Borja, Evan Calabrese, Verena Chung, Gian Marco Conte, Farouk Dako, James A. Eddy, Ivan Ezhov, Ariana Familiar, Keyvan Farahani, Anurag Gottipati, Debanjan Haldar, Shuvanjan Haldar, Juan Eugenio Iglesias, Anastasia Janas, Elaine Johansen, Blaise V. Jones, Neda Khalili, Florian Kofler, Dominic LaBella, Hollie Anne Lai, Koen Van Leemput, Hongwei Bran Li, Nazanin Maleki, Aaron S. McAllister, Zeke Meier, Bjoern H. Menze, Ahmed W. Moawad, Khanak K. Nandolia, Julija Pavaine, Marie Piraud, Tina Poussaint, Sanjay P. Prabhu, Zachary Reitman, Andres Felipe Rodriguez, Jeffrey D. Rudie, Mariana Sanchez-Montano, Ibraheem Salman Shaikh, Lubdha M. Shah, Nakul Sheth, Russel Taki Shinohara, Wenxin Tu, Karthik Viswanathan, Chunhao Wang, Jeffrey B. Ware, Benedikt Wiestler, Walter I. Wiggins, Anna Zapaishchykova, Mariam Aboian, Miriam Bornhorst, Peter de Blank, Michelle Deutsch, Maryam Fouladi, Lindsey Hoffman, Benjamin H. Kann, Margot Lazow, Leonie Mikael, Ali Nabavizadeh, Roger J. Packer, Spyridon Bakas, Adam C. Resnick, Brian Rood, Arastoo Vossough, Marius George Linguraru:
The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). CoRR abs/2404.15009 (2024) - Yiwen Zhu, Yuanyuan Tian, Joyce Cahoon, Subru Krishnan, Ankita Agarwal, Rana Alotaibi, Jesús Camacho-Rodríguez, Bibin Chundatt, Andrew Chung, Niharika Dutta, Andrew Fogarty, Anja Gruenheid, Brandon Haynes, Matteo Interlandi, Minu Iyer, Nick Jurgens, Sumeet Khushalani, Brian Kroth, Manoj Kumar, Jyoti Leeka, Sergiy Matusevych, Minni Mittal, Andreas Müller, Kartheek Muthyala, Harsha Nagulapalli, Yoonjae Park, Hiren Patel, Anna Pavlenko, Olga Poppe, Santhosh Ravindran, Karla Saur, Rathijit Sen, Steve Suh, Arijit Tarafdar, Kunal Waghray, Demin Wang, Carlo Curino, Raghu Ramakrishnan:
Towards Building Autonomous Data Services on Azure. CoRR abs/2405.01813 (2024) - Theodore Zhao, Yu Gu, Jianwei Yang, Naoto Usuyama, Ho Hin Lee, Tristan Naumann, Jianfeng Gao, Angela Crabtree, Jacob Abel, Christine Moung, Brian Piening, Carlo Bifulco, Mu Wei, Hoifung Poon, Sheng Wang:
BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once. CoRR abs/2405.12971 (2024)
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