Kevin Lu

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 31

Top Topics

Information Transfer

Lifelong Learning

Weakly Supervised

Top Venues

Publications

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 (2024)
Jaida Gao, Calab Su, Etai Miller, Kevin Lu, Yu Meng
Rapid Mobile App Development for Generative AI Agents on MIT App Inventor. CoRR (2024)
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)
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) (2023)
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) (2022)
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 (2022)
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 (2022)
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)
Kevin Lu, Aditya Grover, Pieter Abbeel, Igor Mordatch
Frozen Pretrained Transformers as Universal Computation Engines. AAAI (2022)
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)
Abubaker A. Shaouf, Kevin Lu
Establishing Trust in E-Commerce Through Website Design Elements: The Moderating Role of Gender. Int. J. Technol. Hum. Interact. 18 (1) (2022)
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)
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 (2021)
Michael Laskin, Denis Yarats, Hao Liu, Kimin Lee, Albert Zhan, Kevin Lu, Catherine Cang, Lerrel Pinto, Pieter Abbeel
URLB: Unsupervised Reinforcement Learning Benchmark. CoRR (2021)
Ruihan Zhao, Kevin Lu, Pieter Abbeel, Stas Tiomkin
Efficient Empowerment Estimation for Unsupervised Stabilization. ICLR (2021)
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)
Kevin Lu, Aditya Grover, Pieter Abbeel, Igor Mordatch
Pretrained Transformers as Universal Computation Engines. CoRR (2021)
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)
Kevin Lu, Virginia Vassilevska Williams, Nicole Wein, Zixuan Xu
Better Lower Bounds for Shortcut Sets and Additive Spanners via an Improved Alternation Product. CoRR (2021)
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 (2021)
Basem Suleiman, Kevin Lu, Hong Wa Chan, Muhammad Johan Alibasa
DeepPatterns: Predicting Mobile Apps Usage from Spatio-Temporal and Contextual Features. ICSOC (2021)
Rachael Versaw, Samantha Schultz, Kevin Lu, Richard Zhao
Modular Reinforcement Learning Framework for Learners and Educators. FDG (2021)
Kevin Lu, Aditya Grover, Pieter Abbeel, Igor Mordatch
Reset-Free Lifelong Learning with Skill-Space Planning. ICLR (2021)
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)
Suluxan Mohanraj, J. 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) (2020)
Kevin Lu, Aditya Grover, Pieter Abbeel, Igor Mordatch
Reset-Free Lifelong Learning with Skill-Space Planning. CoRR (2020)
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 (2020)
Kevin Lu, Aarnout Brombacher
Haptic Feedback in Running: Is It Possible for Information Transfer through Electrical Muscle Signalling? Tangible and Embedded Interaction (2020)
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)
Divya Gopinath, Rohan Kodialam, Kevin Lu, Jayson Lynch, Santiago Ospina
Hamiltonicity in Semi-Regular Tessellation Dual Graphs. CoRR (2019)
Kevin Lu, Igor Mordatch, Pieter Abbeel
Adaptive Online Planning for Continual Lifelong Learning. CoRR (2019)
Kevin Lu
Scoutin' for skunk-ape! SIGGRAPH ASIA Computer Animation Festival (2013)
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) (2006)