Yanping Huang

According to our database, Yanping Huang authored at least 45 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Sequence recommendation using multi-level self-attention network with gated spiking neural P systems.

Xinzhu Bai, Yanping Huang, Hong Peng, Jun Wang, Qian Yang, David Orellana-Martín, Antonio Ramírez-de-Arellano, Mario J. Pérez-Jiménez

Inf. Sci., January, 2024

Scaling Instruction-Finetuned Language Models.

Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Alex Castro-Ros, Marie Pellat, Kevin Robinson, Dasha Valter, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Y. Zhao, Yanping Huang, Andrew M. Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, Jason Wei

J. Mach. Learn. Res., 2024

Stylus: Automatic Adapter Selection for Diffusion Models.

Michael Luo, Justin Wong, Brandon Trabucco, Yanping Huang, Joseph E. Gonzalez, Zhifeng Chen, Ruslan Salakhutdinov, Ion Stoica

CoRR, 2024

Sentence-level sentiment classification based on multi-attention bidirectional gated spiking neural P systems.

Yanping Huang, Xinzhu Bai, Qian Liu, Hong Peng, Qian Yang, Jun Wang

Appl. Soft Comput., 2024

Controlled Decoding from Language Models.

Sidharth Mudgal, Jong Lee, Harish Ganapathy, YaGuang Li, Tao Wang, Yanping Huang, Zhifeng Chen, Heng-Tze Cheng, Michael Collins, Trevor Strohman, Jilin Chen, Alex Beutel, Ahmad Beirami

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

An Attention-Aware Long Short-Term Memory-Like Spiking Neural Model for Sentiment Analysis.

Qian Liu, Yanping Huang, Qian Yang, Hong Peng, Jun Wang

Int. J. Neural Syst., August, 2023

Sentiment classification using bidirectional LSTM-SNP model and attention mechanism.

Yanping Huang, Qian Liu, Hong Peng, Jun Wang, Qian Yang, David Orellana-Martín

Expert Syst. Appl., July, 2023

Attention-enabled gated spiking neural P model for aspect-level sentiment classification.

Yanping Huang, Hong Peng, Qian Liu, Qian Yang, Jun Wang, David Orellana-Martín, Mario J. Pérez-Jiménez

Neural Networks, 2023

PaLM 2 Technical Report.

Rohan Anil, Andrew M. Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, Eric Chu, Jonathan H. Clark, Laurent El Shafey, Yanping Huang, Kathy Meier-Hellstern, Gaurav Mishra, Erica Moreira, Mark Omernick, Kevin Robinson, Sebastian Ruder, Yi Tay, Kefan Xiao, Yuanzhong Xu, Yujing Zhang, Gustavo Hernández Ábrego, Junwhan Ahn, Jacob Austin, Paul Barham, Jan A. Botha, James Bradbury, Siddhartha Brahma, Kevin Brooks, Michele Catasta, Yong Cheng, Colin Cherry, Christopher A. Choquette-Choo, Aakanksha Chowdhery, Clément Crepy, Shachi Dave, Mostafa Dehghani, Sunipa Dev, Jacob Devlin, Mark Díaz, Nan Du, Ethan Dyer, Vladimir Feinberg, Fangxiaoyu Feng, Vlad Fienber, Markus Freitag, Xavier Garcia, Sebastian Gehrmann, Lucas Gonzalez, et al.

CoRR, 2023

AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving.

Zhuohan Li, Lianmin Zheng, Yinmin Zhong, Vincent Liu, Ying Sheng, Xin Jin, Yanping Huang, Zhifeng Chen, Hao Zhang, Joseph E. Gonzalez, Ion Stoica

Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs.

Lijun Yu, Yong Cheng, Zhiruo Wang, Vivek Kumar, Wolfgang Macherey, Yanping Huang, David A. Ross, Irfan Essa, Yonatan Bisk, Ming-Hsuan Yang, Kevin P. Murphy, Alexander G. Hauptmann, Lu Jiang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Brainformers: Trading Simplicity for Efficiency.

Yanqi Zhou, Nan Du, Yanping Huang, Daiyi Peng, Chang Lan, Da Huang, Siamak Shakeri, David R. So, Andrew M. Dai, Yifeng Lu, Zhifeng Chen, Quoc V. Le, Claire Cui, James Laudon, Jeff Dean

Proceedings of the International Conference on Machine Learning, 2023

Lifelong Language Pretraining with Distribution-Specialized Experts.

Wuyang Chen, Yanqi Zhou, Nan Du, Yanping Huang, James Laudon, Zhifeng Chen, Claire Cui

Proceedings of the International Conference on Machine Learning, 2023

Massively Multilingual Shallow Fusion with Large Language Models.

Ke Hu, Tara N. Sainath, Bo Li, Nan Du, Yanping Huang, Andrew M. Dai, Yu Zhang, Rodrigo Cabrera, Zhifeng Chen, Trevor Strohman

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition.

Yu Zhang, Daniel S. Park, Wei Han, James Qin, Anmol Gulati, Joel Shor, Aren Jansen, Yuanzhong Xu, Yanping Huang, Shibo Wang, Zongwei Zhou, Bo Li, Min Ma, William Chan, Jiahui Yu, Yongqiang Wang, Liangliang Cao, Khe Chai Sim, Bhuvana Ramabhadran, Tara N. Sainath, Françoise Beaufays, Zhifeng Chen, Quoc V. Le, Chung-Cheng Chiu, Ruoming Pang, Yonghui Wu

IEEE J. Sel. Top. Signal Process., 2022

Scaling Instruction-Finetuned Language Models.

Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Eric Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Y. Zhao, Yanping Huang, Andrew M. Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, Jason Wei

CoRR, 2022

Building Machine Translation Systems for the Next Thousand Languages.

Ankur Bapna, Isaac Caswell, Julia Kreutzer, Orhan Firat, Daan van Esch, Aditya Siddhant, Mengmeng Niu, Pallavi Baljekar, Xavier Garcia, Wolfgang Macherey, Theresa Breiner, Vera Axelrod, Jason Riesa, Yuan Cao, Mia Xu Chen, Klaus Macherey, Maxim Krikun, Pidong Wang, Alexander Gutkin, Apurva Shah, Yanping Huang, Zhifeng Chen, Yonghui Wu, Macduff Hughes

CoRR, 2022

Designing Effective Sparse Expert Models.

Barret Zoph, Irwan Bello, Sameer Kumar, Nan Du, Yanping Huang, Jeff Dean, Noam Shazeer, William Fedus

CoRR, 2022

Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning.

Lianmin Zheng, Zhuohan Li, Hao Zhang, Yonghao Zhuang, Zhifeng Chen, Yanping Huang, Yida Wang, Yuanzhong Xu, Danyang Zhuo, Joseph E. Gonzalez, Ion Stoica

CoRR, 2022

LaMDA: Language Models for Dialog Applications.

Romal Thoppilan, Daniel De Freitas, Jamie Hall, Noam Shazeer, Apoorv Kulshreshtha, Heng-Tze Cheng, Alicia Jin, Taylor Bos, Leslie Baker, Yu Du, YaGuang Li, Hongrae Lee, Huaixiu Steven Zheng, Amin Ghafouri, Marcelo Menegali, Yanping Huang, Maxim Krikun, Dmitry Lepikhin, James Qin, Dehao Chen, Yuanzhong Xu, Zhifeng Chen, Adam Roberts, Maarten Bosma, Yanqi Zhou, Chung-Ching Chang, Igor Krivokon, Will Rusch, Marc Pickett, Kathleen S. Meier-Hellstern, Meredith Ringel Morris, Tulsee Doshi, Renelito Delos Santos, Toju Duke, Johnny Soraker, Ben Zevenbergen, Vinodkumar Prabhakaran, Mark Diaz, Ben Hutchinson, Kristen Olson, Alejandra Molina, Erin Hoffman-John, Josh Lee, Lora Aroyo, Ravi Rajakumar, Alena Butryna, Matthew Lamm, Viktoriya Kuzmina, Joe Fenton, Aaron Cohen, Rachel Bernstein, Ray Kurzweil, Blaise Agüera y Arcas, Claire Cui, Marian Croak, Ed H. Chi, Quoc Le

CoRR, 2022

Image enhancement of wide-field retinal optical coherence tomography angiography by super-resolution angiogram reconstruction generative adversarial network.

Xing Yuan, Yanping Huang, Lin An, Jia Qin, Gongpu Lan, Haixia Qiu, Bo Yu, Haibo Jia, Shangjie Ren, Haishu Tan, Jingjiang Xu

Biomed. Signal Process. Control., 2022

Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning.

Lianmin Zheng, Zhuohan Li, Hao Zhang, Yonghao Zhuang, Zhifeng Chen, Yanping Huang, Yida Wang, Yuanzhong Xu, Danyang Zhuo, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica

Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation, 2022

Mixture-of-Experts with Expert Choice Routing.

Yanqi Zhou, Tao Lei, Hanxiao Liu, Nan Du, Yanping Huang, Vincent Y. Zhao, Andrew M. Dai, Zhifeng Chen, Quoc V. Le, James Laudon

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Research on Fault Diagnosis of Nuclear Gate Valve Based on Analysis of Energy Variation Characteristics of Vibration Signal.

Zhilong Liu, Tongxi Li, Yanping Huang, Jie Liu, Changhua Nie, Li Zhan, Zhangchun Tang

Proceedings of the 2022 IEEE International Conference on Prognostics and Health Management, 2022

GLaM: Efficient Scaling of Language Models with Mixture-of-Experts.

Nan Du, Yanping Huang, Andrew M. Dai, Simon Tong, Dmitry Lepikhin, Yuanzhong Xu, Maxim Krikun, Yanqi Zhou, Adams Wei Yu, Orhan Firat, Barret Zoph, Liam Fedus, Maarten P. Bosma, Zongwei Zhou, Tao Wang, Yu Emma Wang, Kellie Webster, Marie Pellat, Kevin Robinson, Kathleen S. Meier-Hellstern, Toju Duke, Lucas Dixon, Kun Zhang, Quoc V. Le, Yonghui Wu, Zhifeng Chen, Claire Cui

Proceedings of the International Conference on Machine Learning, 2022

2021

GSPMD: General and Scalable Parallelization for ML Computation Graphs.

Yuanzhong Xu, HyoukJoong Lee, Dehao Chen, Blake A. Hechtman, Yanping Huang, Rahul Joshi, Maxim Krikun, Dmitry Lepikhin, Andy Ly, Marcello Maggioni, Ruoming Pang, Noam Shazeer, Shibo Wang, Tao Wang, Yonghui Wu, Zhifeng Chen

CoRR, 2021

Do CNNs Encode Data Augmentations?

Eddie Yan, Yanping Huang

Proceedings of the International Joint Conference on Neural Networks, 2021

A Smart Agricultural Monitoring System Based on Cloud Platform of Internet of Things.

Shaowei Chen, Fangda Xu, Shengyue Wang, Yanping Huang, Pengfei Wen, Dengshan Huang, Shuai Zhao

Proceedings of the International IEEE Conference on Prognostics and Health Management, 2021

GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding.

Dmitry Lepikhin, HyoukJoong Lee, Yuanzhong Xu, Dehao Chen, Orhan Firat, Yanping Huang, Maxim Krikun, Noam Shazeer, Zhifeng Chen

Proceedings of the 9th International Conference on Learning Representations, 2021

Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference.

Sneha Kudugunta, Yanping Huang, Ankur Bapna, Maxim Krikun, Dmitry Lepikhin, Minh-Thang Luong, Orhan Firat

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout.

Zhao Chen, Jiquan Ngiam, Yanping Huang, Thang Luong, Henrik Kretzschmar, Yuning Chai, Dragomir Anguelov

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling.

Jonathan Shen, Patrick Nguyen, Yonghui Wu, Zhifeng Chen, Mia Xu Chen, Ye Jia, Anjuli Kannan, Tara N. Sainath, Yuan Cao, Chung-Cheng Chiu, Yanzhang He, Jan Chorowski, Smit Hinsu, Stella Laurenzo, James Qin, Orhan Firat, Wolfgang Macherey, Suyog Gupta, Ankur Bapna, Shuyuan Zhang, Ruoming Pang, Ron J. Weiss, Rohit Prabhavalkar, Qiao Liang, Benoit Jacob, Bowen Liang, HyoukJoong Lee, Ciprian Chelba, Sébastien Jean, Bo Li, Melvin Johnson, Rohan Anil, Rajat Tibrewal, Xiaobing Liu, Akiko Eriguchi, Navdeep Jaitly, Naveen Ari, Colin Cherry, Parisa Haghani, Otavio Good, Youlong Cheng, Raziel Alvarez, Isaac Caswell, Wei-Ning Hsu, Zongheng Yang, Kuan-Chieh Wang, Ekaterina Gonina, Katrin Tomanek, Ben Vanik, Zelin Wu, Llion Jones, Mike Schuster, Yanping Huang, Dehao Chen, Kazuki Irie, George F. Foster, John Richardson, Klaus Macherey, Antoine Bruguier, Heiga Zen, Colin Raffel, Shankar Kumar, Kanishka Rao, David Rybach, Matthew Murray, Vijayaditya Peddinti, Maxim Krikun, Michiel Bacchiani, Thomas B. Jablin, Robert Suderman, Ian Williams, Benjamin Lee, Deepti Bhatia, Justin Carlson, Semih Yavuz, Yu Zhang, Ian McGraw, Max Galkin, Qi Ge, Golan Pundak, Chad Whipkey, Todd Wang, Uri Alon, Dmitry Lepikhin, Ye Tian, Sara Sabour, William Chan, Shubham Toshniwal, Baohua Liao, Michael Nirschl, Pat Rondon

CoRR, 2019

GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism.

Yanping Huang, Youlong Cheng, Ankur Bapna, Orhan Firat, Dehao Chen, Mia Xu Chen, HyoukJoong Lee, Jiquan Ngiam, Quoc V. Le, Yonghui Wu, Zhifeng Chen

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Regularized Evolution for Image Classifier Architecture Search.

Esteban Real, Alok Aggarwal, Yanping Huang, Quoc V. Le

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism.

Yanping Huang, Yonglong Cheng, Dehao Chen, HyoukJoong Lee, Jiquan Ngiam, Quoc V. Le, Zhifeng Chen

CoRR, 2018

Scenes Design in Virtual Reality for Depression Assessment.

Dan Liao, Lin Shu, Yanping Huang, Jiong Yang, Xiangmin Xu

Proceedings of the Virtual, Augmented and Mixed Reality: Applications in Health, Cultural Heritage, and Industry, 2018

Design of Virtual Reality Scenes with Variable Levels of Fear Evocation.

Dan Liao, Yanping Huang, Zhizhen Tan, Jiong Yang, Xiangmin Xu

Proceedings of the Virtual, Augmented and Mixed Reality: Applications in Health, Cultural Heritage, and Industry, 2018

2016

Bayesian Inference and Online Learning in Poisson Neuronal Networks.

Yanping Huang, Rajesh P. N. Rao

Neural Comput., 2016

2015

Bayesian Computation and Optimal Decision Making in Primate Brains.

Yanping Huang

PhD thesis, 2015

ChirpCast: Data Transmission via Audio.

Francis Iannacci, Yanping Huang

CoRR, 2015

Partitioning Large Scale Deep Belief Networks Using Dropout.

Yanping Huang, Sai Zhang

CoRR, 2015

Learning Efficient Representations for Reinforcement Learning.

Yanping Huang

CoRR, 2015

2014

Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks.

Yanping Huang, Rajesh P. N. Rao

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2012

How Prior Probability Influences Decision Making: A Unifying Probabilistic Model.

Yanping Huang, Abram L. Friesen, Timothy D. Hanks, Michael N. Shadlen, Rajesh P. N. Rao

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Forest/non-forest mapping using ENVISAT ASAR data in Northeast China.

Yanping Huang, Feilong Ling, Bo Wu, Lina Bai, Xin Tian

Proceedings of the IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, 2011