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ORCIDKevin Lu
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.
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Other persons with the same name
- Kevin Lü 0001
![[0000-0002-2588-9059]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-2588-9059")
(aka: Kevin Lu 0001, Kevin J. Lü, Kevin J. Lu) — Brunel University, Uxbridge, UK (and 1 more) - Kevin W. Lu (aka: Kevin Lu 0002) — Stevens Institute of Technology, Hoboken, NJ, USA (and 2 more)
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2020 – today
- 2024
[c16]Abhijay Rana, Kevin Lu, Rudransh Singh:
Enhancing Electronic Health Record Systems with Serverless Blockchain Integration. CCCI 2024: 1-5- [i14]Holger R. Roth, Ziyue Xu, Yuan-Ting Hsieh, Adithya Renduchintala, Isaac Yang, Zhihong Zhang, Yuhong Wen, Sean Yang, Kevin Lu, Kristopher Kersten, Camir Ricketts, Daguang Xu, Chester Chen, Yan Cheng, Andrew Feng:
Empowering Federated Learning for Massive Models with NVIDIA FLARE. CoRR abs/2402.07792 (2024) - [i13]Jaida Gao, Calab Su, Etai Miller, Kevin Lu, Yu Meng:
Rapid Mobile App Development for Generative AI Agents on MIT App Inventor. CoRR abs/2405.01561 (2024) - [i12]Kevin Lu, Jordan Chong, Matt Lu, Jie Gao:
Enabling Asymptotic Truth Learning in a Social Network. CoRR abs/2410.04317 (2024) - 2023
- [j4]Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona Flores, Andrew Feng:
NVIDIA FLARE: Federated Learning from Simulation to Real-World. IEEE Data Eng. Bull. 46(1): 170-184 (2023) - [c15]Sean Chen, Jaelyn McCracken, Kevin Lu, Tao Wang, Tao Hou:
Taking a Look into the Cookie Jar: A Comprehensive Study towards the Security of Web Cookies. MobiHoc 2023: 474-479 - 2022
- [j3]Xueer Chen, Lujia Chen, Cornelius H. L. Kürten, Fattaneh Jabbari, Lazar Vujanovic, Ying Ding, Binfeng Lu, Kevin Lu, Aditi Kulkarni, Tracy Tabib, Robert Lafyatis, Gregory F. Cooper, Robert Ferris, Xinghua Lu:
An individualized causal framework for learning intercellular communication networks that define microenvironments of individual tumors. PLoS Comput. Biol. 18(12): 1010761 (2022) - [c14]Kevin Lu, Aditya Grover, Pieter Abbeel, Igor Mordatch:
Frozen Pretrained Transformers as Universal Computation Engines. AAAI 2022: 7628-7636 - [c13]Steven Y. Feng, Kevin Lu, Zhuofu Tao, Malihe Alikhani, Teruko Mitamura, Eduard H. Hovy, Varun Gangal:
Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models. AAAI 2022: 10618-10626 - [c12]Sedrick Scott Keh, Kevin Lu, Varun Gangal, Steven Y. Feng, Harsh Jhamtani, Malihe Alikhani, Eduard H. Hovy:
PINEAPPLE: Personifying INanimate Entities by Acquiring Parallel Personification Data for Learning Enhanced Generation. COLING 2022: 6270-6284 - [c11]Kevin Lu, Virginia Vassilevska Williams, Nicole Wein, Zixuan Xu:
Better Lower Bounds for Shortcut Sets and Additive Spanners via an Improved Alternation Product. SODA 2022: 3311-3331 - [i11]Sedrick Scott Keh, Kevin Lu, Varun Gangal, Steven Y. Feng, Harsh Jhamtani, Malihe Alikhani, Eduard H. Hovy:
PINEAPPLE: Personifying INanimate Entities by Acquiring Parallel Personification data for Learning Enhanced generation. CoRR abs/2209.07752 (2022) - [i10]Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona Flores, Andrew Feng:
NVIDIA FLARE: Federated Learning from Simulation to Real-World. CoRR abs/2210.13291 (2022) - 2021
- [c10]Rachael Versaw, Samantha Schultz, Kevin Lu, Richard Zhao:
Modular Reinforcement Learning Framework for Learners and Educators. FDG 2021: 42:1-42:5 - [c9]Ruihan Zhao, Kevin Lu, Pieter Abbeel, Stas Tiomkin:
Efficient Empowerment Estimation for Unsupervised Stabilization. ICLR 2021 - [c8]Kevin Lu, Aditya Grover, Pieter Abbeel, Igor Mordatch:
Reset-Free Lifelong Learning with Skill-Space Planning. ICLR 2021 - [c7]Basem Suleiman, Kevin Lu, Hong Wa Chan, Muhammad Johan Alibasa:
DeepPatterns: Predicting Mobile Apps Usage from Spatio-Temporal and Contextual Features. ICSOC 2021: 811-818 - [c6]Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch:
Decision Transformer: Reinforcement Learning via Sequence Modeling. NeurIPS 2021: 15084-15097 - [c5]Michael Laskin, Denis Yarats, Hao Liu, Kimin Lee, Albert Zhan, Kevin Lu, Catherine Cang, Lerrel Pinto, Pieter Abbeel:
URLB: Unsupervised Reinforcement Learning Benchmark. NeurIPS Datasets and Benchmarks 2021 - [i9]Kevin Lu, Aditya Grover, Pieter Abbeel, Igor Mordatch:
Pretrained Transformers as Universal Computation Engines. CoRR abs/2103.05247 (2021) - [i8]Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch:
Decision Transformer: Reinforcement Learning via Sequence Modeling. CoRR abs/2106.01345 (2021) - [i7]Steven Y. Feng, Kevin Lu, Zhuofu Tao, Malihe Alikhani, Teruko Mitamura, Eduard H. Hovy, Varun Gangal:
Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models. CoRR abs/2109.03892 (2021) - [i6]Michael Laskin, Denis Yarats, Hao Liu, Kimin Lee, Albert Zhan, Kevin Lu, Catherine Cang, Lerrel Pinto, Pieter Abbeel:
URLB: Unsupervised Reinforcement Learning Benchmark. CoRR abs/2110.15191 (2021) - [i5]Kevin Lu, Virginia Vassilevska Williams, Nicole Wein, Zixuan Xu:
Better Lower Bounds for Shortcut Sets and Additive Spanners via an Improved Alternation Product. CoRR abs/2110.15809 (2021) - 2020
- [j2]Suluxan Mohanraj, Juan Javier Díaz-Mejía, Martin D. Pham, Hillary Elrick, Mia Husic, Shaikh Rashid, Ping Luo, Prabnur Bal, Kevin Lu, Samarth Patel, Alaina Mahalanabis, Alaine Naidas, Erik Christensen, Danielle Croucher, Laura M. Richards, Parisa Shooshtari, Michael Brudno, Arun K. Ramani, Trevor J. Pugh:
CReSCENT: CanceR Single Cell ExpressioN Toolkit. Nucleic Acids Res. 48(Webserver-Issue): W372-W379 (2020) - [c4]Leo K. Tam, Xiaosong Wang, Evrim Turkbey, Kevin Lu, Yuhong Wen, Daguang Xu:
Weakly Supervised One-Stage Vision and Language Disease Detection Using Large Scale Pneumonia and Pneumothorax Studies. MICCAI (4) 2020: 45-55 - [c3]Kevin Lu, Aarnout Brombacher:
Haptic Feedback in Running: Is It Possible for Information Transfer through Electrical Muscle Signalling? TEI 2020: 479-485 - [i4]Leo K. Tam, Xiaosong Wang, Evrim Turkbey, Kevin Lu, Yuhong Wen, Daguang Xu:
Weakly supervised one-stage vision and language disease detection using large scale pneumonia and pneumothorax studies. CoRR abs/2007.15778 (2020) - [i3]Kevin Lu, Aditya Grover, Pieter Abbeel, Igor Mordatch:
Reset-Free Lifelong Learning with Skill-Space Planning. CoRR abs/2012.03548 (2020)
2010 – 2019
- 2019
- [c2]Nathanael Chambers, Timothy Forman, Catherine Griswold, Kevin Lu, Yogaish Khastgir, Stephen Steckler:
Character-Based Models for Adversarial Phone Extraction: Preventing Human Sex Trafficking. W-NUT@EMNLP 2019: 48-56 - [i2]Divya Gopinath, Rohan Kodialam, Kevin Lu, Jayson Lynch, Santiago Ospina:
Hamiltonicity in Semi-Regular Tessellation Dual Graphs. CoRR abs/1909.13755 (2019) - [i1]Kevin Lu, Igor Mordatch, Pieter Abbeel:
Adaptive Online Planning for Continual Lifelong Learning. CoRR abs/1912.01188 (2019) - 2013
- [c1]Kevin Lu:
Scoutin' for skunk-ape! SIGGRAPH ASIA Computer Animation Festival 2013: 47:1
2000 – 2009
- 2006
- [j1]William C. Shoemaker, David S. Bayard, Charles C. J. Wo, Andreas Botnen, Linda S. Chan, Li-Chien Chien, Kevin Lu, Demetrios Demetriades, Howard Belzberg, Roger W. Jelliffe:
Stochastic model for outcome prediction in acute illness. Comput. Biol. Medicine 36(6): 585-600 (2006)
Coauthor Index
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