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ORCIDJianyu Huang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. 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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2020 – today
- 2024
[j7]Jianyu Huang
, Billy Dawton, Yutaka Arakawa:
An Adaptive Path Planning Method for Curved Roads via Three-Dimensional Space-Aware Profiling Maps. IEEE Access 12: 1458-1473 (2024)- [c11]Jianyu Huang, Yutaka Arakawa:
Faster Trajectory Planning for Lane Change Scenarios with Dynamic Environment. ICRCA 2024: 192-196 - [i14]Xun Jiao, Fan Fred Lin, Harish Dattatraya Dixit, Joel Coburn, Abhinav Pandey, Han Wang, Venkat Ramesh, Jianyu Huang, Wang Xu, Daniel Moore, Sriram Sankar:
PVF (Parameter Vulnerability Factor): A Quantitative Metric Measuring AI Vulnerability Against Parameter Corruptions. CoRR abs/2405.01741 (2024) - [i13]Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Amy Yang, Angela Fan, Anirudh Goyal, Anthony Hartshorn, Aobo Yang, Archi Mitra, Archie Sravankumar, Artem Korenev, Arthur Hinsvark, Arun Rao, Aston Zhang, Aurélien Rodriguez, Austen Gregerson, Ava Spataru, Baptiste Rozière, Bethany Biron, Binh Tang, Bobbie Chern, Charlotte Caucheteux, Chaya Nayak, Chloe Bi, Chris Marra, Chris McConnell, Christian Keller, Christophe Touret, Chunyang Wu, Corinne Wong, Cristian Canton Ferrer, Cyrus Nikolaidis, Damien Allonsius, Daniel Song, Danielle Pintz, Danny Livshits, David Esiobu, Dhruv Choudhary, Dhruv Mahajan, Diego Garcia-Olano, Diego Perino, Dieuwke Hupkes, Egor Lakomkin, Ehab AlBadawy, Elina Lobanova, Emily Dinan, Eric Michael Smith, Filip Radenovic, Frank Zhang, Gabriel Synnaeve, Gabrielle Lee, Georgia Lewis Anderson, Graeme Nail, Grégoire Mialon, Guan Pang, Guillem Cucurell, Hailey Nguyen, Hannah Korevaar, Hu Xu, Hugo Touvron, Iliyan Zarov, Imanol Arrieta Ibarra, Isabel M. Kloumann, Ishan Misra, Ivan Evtimov, Jade Copet, Jaewon Lee, Jan Geffert, Jana Vranes, Jason Park, Jay Mahadeokar, Jeet Shah, Jelmer van der Linde, Jennifer Billock, Jenny Hong, Jenya Lee, Jeremy Fu, Jianfeng Chi, Jianyu Huang, Jiawen Liu, Jie Wang, Jiecao Yu, Joanna Bitton, Joe Spisak, Jongsoo Park, Joseph Rocca, Joshua Johnstun, Joshua Saxe, Junteng Jia, Kalyan Vasuden Alwala, Kartikeya Upasani, Kate Plawiak, Ke Li, Kenneth Heafield, Kevin Stone, et al.:
The Llama 3 Herd of Models. CoRR abs/2407.21783 (2024) - 2023
- [j6]Jianyu Huang, Zuguang He, Yutaka Arakawa, Billy Dawton:
Trajectory Planning in Frenet Frame via Multi-Objective Optimization. IEEE Access 11: 70764-70777 (2023) - [c10]Fan Lai, Wei Zhang, Rui Liu, William Tsai, Xiaohan Wei, Yuxi Hu, Sabin Devkota, Jianyu Huang, Jongsoo Park, Xing Liu, Zeliang Chen, Ellie Wen, Paul Rivera, Jie You, Chun-cheng Jason Chen, Mosharaf Chowdhury:
AdaEmbed: Adaptive Embedding for Large-Scale Recommendation Models. OSDI 2023: 817-831 - 2022
- [c9]Sihuan Li, Jianyu Huang, Ping Tak Peter Tang, Daya Shanker Khudia, Jongsoo Park, Harish Dattatraya Dixit, Zizhong Chen:
Efficient Soft-Error Detection for Low-precision Deep Learning Recommendation Models. IEEE Big Data 2022: 1556-1563 - [c8]Jianyu Huang, Nanting Cai, Jian Mao, Jialin Zhang, Xiaochun Zhao:
A denoising method based on CNN through multi-layer separation. EITCE 2022: 361-366 - [c7]Dheevatsa Mudigere, Yuchen Hao, Jianyu Huang, Zhihao Jia, Andrew Tulloch, Srinivas Sridharan, Xing Liu, Mustafa Ozdal, Jade Nie, Jongsoo Park, Liang Luo, Jie Amy Yang, Leon Gao, Dmytro Ivchenko, Aarti Basant, Yuxi Hu, Jiyan Yang, Ehsan K. Ardestani, Xiaodong Wang, Rakesh Komuravelli, Ching-Hsiang Chu, Serhat Yilmaz, Huayu Li, Jiyuan Qian, Zhuobo Feng, Yinbin Ma, Junjie Yang, Ellie Wen, Hong Li, Lin Yang, Chonglin Sun, Whitney Zhao, Dimitry Melts, Krishna Dhulipala, K. R. Kishore, Tyler Graf, Assaf Eisenman, Kiran Kumar Matam, Adi Gangidi, Guoqiang Jerry Chen, Manoj Krishnan, Avinash Nayak, Krishnakumar Nair, Bharath Muthiah, Mahmoud khorashadi, Pallab Bhattacharya, Petr Lapukhov, Maxim Naumov, Ajit Mathews, Lin Qiao, Mikhail Smelyanskiy, Bill Jia, Vijay Rao:
Software-hardware co-design for fast and scalable training of deep learning recommendation models. ISCA 2022: 993-1011 - 2021
- [j5]Zhaoxia Deng, Jongsoo Park, Ping Tak Peter Tang, Haixin Liu, Jie Yang, Hector Yuen, Jianyu Huang, Daya Shanker Khudia, Xiaohan Wei, Ellie Wen, Dhruv Choudhary, Raghuraman Krishnamoorthi, Carole-Jean Wu, Nadathur Satish, Changkyu Kim, Maxim Naumov, Sam Naghshineh, Mikhail Smelyanskiy:
Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale. IEEE Micro 41(5): 93-100 (2021) - [i12]Daya Shanker Khudia, Jianyu Huang, Protonu Basu, Summer Deng, Haixin Liu, Jongsoo Park, Mikhail Smelyanskiy:
FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference. CoRR abs/2101.05615 (2021) - [i11]Sihuan Li, Jianyu Huang, Ping Tak Peter Tang, Daya Shanker Khudia, Jongsoo Park, Harish Dattatraya Dixit, Zizhong Chen:
Efficient Soft-Error Detection for Low-precision Deep Learning Recommendation Models. CoRR abs/2103.00130 (2021) - [i10]Dheevatsa Mudigere, Yuchen Hao, Jianyu Huang, Andrew Tulloch, Srinivas Sridharan, Xing Liu, Mustafa Ozdal, Jade Nie, Jongsoo Park, Liang Luo, Jie Amy Yang, Leon Gao, Dmytro Ivchenko, Aarti Basant, Yuxi Hu, Jiyan Yang, Ehsan K. Ardestani, Xiaodong Wang, Rakesh Komuravelli, Ching-Hsiang Chu, Serhat Yilmaz, Huayu Li, Jiyuan Qian, Zhuobo Feng, Yinbin Ma, Junjie Yang, Ellie Wen, Hong Li, Lin Yang, Chonglin Sun, Whitney Zhao, Dimitry Melts, Krishna Dhulipala, K. R. Kishore, Tyler Graf, Assaf Eisenman, Kiran Kumar Matam, Adi Gangidi, Guoqiang Jerry Chen, Manoj Krishnan, Avinash Nayak, Krishnakumar Nair, Bharath Muthiah, Mahmoud khorashadi, Pallab Bhattacharya, Petr Lapukhov, Maxim Naumov, Lin Qiao, Mikhail Smelyanskiy, Bill Jia, Vijay Rao:
High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models. CoRR abs/2104.05158 (2021) - [i9]Zhaoxia Deng, Jongsoo Park, Ping Tak Peter Tang, Haixin Liu, Jie Yang, Hector Yuen, Jianyu Huang, Daya Shanker Khudia, Xiaohan Wei, Ellie Wen, Dhruv Choudhary, Raghuraman Krishnamoorthi, Carole-Jean Wu, Nadathur Satish, Changkyu Kim, Maxim Naumov, Sam Naghshineh, Mikhail Smelyanskiy:
Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale. CoRR abs/2105.12676 (2021) - 2020
- [j4]Enming Wu, Yidong Sun, Jianyu Huang, Chao Zhang, Zhiheng Li:
Multi UAV Cluster Control Method Based on Virtual Core in Improved Artificial Potential Field. IEEE Access 8: 131647-131661 (2020) - [j3]Jianyu Huang, Chenhan D. Yu, Robert A. van de Geijn:
Strassen's Algorithm Reloaded on GPUs. ACM Trans. Math. Softw. 46(1): 1:1-1:22 (2020) - [i8]Jie Amy Yang, Jianyu Huang, Jongsoo Park, Ping Tak Peter Tang, Andrew Tulloch:
Mixed-Precision Embedding Using a Cache. CoRR abs/2010.11305 (2020)
2010 – 2019
- 2019
- [i7]Dhiraj D. Kalamkar, Dheevatsa Mudigere, Naveen Mellempudi, Dipankar Das, Kunal Banerjee, Sasikanth Avancha, Dharma Teja Vooturi, Nataraj Jammalamadaka, Jianyu Huang, Hector Yuen, Jiyan Yang, Jongsoo Park, Alexander Heinecke, Evangelos Georganas, Sudarshan Srinivasan, Abhisek Kundu, Misha Smelyanskiy, Bharat Kaul, Pradeep Dubey:
A Study of BFLOAT16 for Deep Learning Training. CoRR abs/1905.12322 (2019) - [i6]Maxim Naumov, Dheevatsa Mudigere, Hao-Jun Michael Shi, Jianyu Huang, Narayanan Sundaraman, Jongsoo Park, Xiaodong Wang, Udit Gupta, Carole-Jean Wu, Alisson G. Azzolini, Dmytro Dzhulgakov, Andrey Mallevich, Ilia Cherniavskii, Yinghai Lu, Raghuraman Krishnamoorthi, Ansha Yu, Volodymyr Kondratenko, Stephanie Pereira, Xianjie Chen, Wenlin Chen, Vijay Rao, Bill Jia, Liang Xiong, Misha Smelyanskiy:
Deep Learning Recommendation Model for Personalization and Recommendation Systems. CoRR abs/1906.00091 (2019) - 2018
- [j2]Yufu Qu, Jianyu Huang, Xuan Zhang:
Rapid 3D Reconstruction for Image Sequence Acquired from UAV Camera. Sensors 18(1): 225 (2018) - [j1]Jianyu Huang, Devin A. Matthews, Robert A. van de Geijn:
Strassen's Algorithm for Tensor Contraction. SIAM J. Sci. Comput. 40(3) (2018) - [c6]Devangi N. Parikh, Jianyu Huang, Margaret E. Myers, Robert A. van de Geijn:
Learning from Optimizing Matrix-Matrix Multiplication. IPDPS Workshops 2018: 332-339 - [i5]Jianyu Huang, Chenhan D. Yu, Robert A. van de Geijn:
Implementing Strassen's Algorithm with CUTLASS on NVIDIA Volta GPUs. CoRR abs/1808.07984 (2018) - 2017
- [c5]Jianyu Huang, Leslie Rice, Devin A. Matthews, Robert A. van de Geijn:
Generating Families of Practical Fast Matrix Multiplication Algorithms. IPDPS 2017: 656-667 - [i4]Jianyu Huang, Devin A. Matthews, Robert A. van de Geijn:
Strassen's Algorithm for Tensor Contraction. CoRR abs/1704.03092 (2017) - 2016
- [c4]Jianyu Huang, Tyler M. Smith, Greg M. Henry, Robert A. van de Geijn:
Strassen's algorithm reloaded. SC 2016: 690-701 - [i3]Jianyu Huang, Tyler M. Smith, Greg M. Henry, Robert A. van de Geijn:
Implementing Strassen's Algorithm with BLIS. CoRR abs/1605.01078 (2016) - [i2]Jianyu Huang, Robert A. van de Geijn:
BLISlab: A Sandbox for Optimizing GEMM. CoRR abs/1609.00076 (2016) - [i1]Jianyu Huang, Leslie Rice, Devin A. Matthews, Robert A. van de Geijn:
Generating Families of Practical Fast Matrix Multiplication Algorithms. CoRR abs/1611.01120 (2016) - 2015
- [c3]Chenhan D. Yu, Jianyu Huang, Woody Austin, Bo Xiao, George Biros:
Performance optimization for the k-nearest neighbors kernel on x86 architectures. SC 2015: 7:1-7:12 - 2013
- [c2]Ming Liu, Jianyu Huang, Ming Gao, Shiyin Qin:
High Performance Super-Resolution Reconstruction of Multiple Images Based on Fast Registration and Edge Enhancement. IScIDE 2013: 649-657 - 2011
- [c1]Yuemei Ren, Yanning Zhang, Ying Li, Jianyu Huang, Jianjiang Hui:
A Space Target Recognition Method Based on Compressive Sensing. ICIG 2011: 582-586
Coauthor Index
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last updated on 2024-09-22 23:37 CEST by the dblp team
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