Forest/non-forest mapping using ENVISAT ASAR data in Northeast China. - Yanping Huang; Feilong Ling; Bo Wu 019; Lina Bai; Xin Tian 005 (ICSDM, 2011)

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 (NIPS, 2012)

Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks. - Yanping Huang; Rajesh P. N. Rao (NIPS, 2014)

Learning Efficient Representations for Reinforcement Learning. - Yanping Huang (CoRR, 2015)

Partitioning Large Scale Deep Belief Networks Using Dropout. - Yanping Huang; Sai Zhang (CoRR, 2015)

ChirpCast: Data Transmission via Audio. - Francis Iannacci; Yanping Huang (CoRR, 2015)

Bayesian Computation and Optimal Decision Making in Primate Brains. - Yanping Huang (2015)

Bayesian Inference and Online Learning in Poisson Neuronal Networks. - Yanping Huang; Rajesh P. N. Rao (Neural Comput., 2016)

Design of Virtual Reality Scenes with Variable Levels of Fear Evocation. - Dan Liao; Yanping Huang; Zhizhen Tan; Jiong Yang; Xiangmin Xu (HCI (10), 2018)

Scenes Design in Virtual Reality for Depression Assessment. - Dan Liao; Lin Shu; Yanping Huang; Jiong Yang; Xiangmin Xu (HCI (10), 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)

Regularized Evolution for Image Classifier Architecture Search. - Esteban Real; Alok Aggarwal; Yanping Huang; Quoc V. Le (AAAI, 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 (NeurIPS, 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 007; Chung-Cheng Chiu; Yanzhang He; Jan Chorowski; et al. (CoRR, 2019)

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 (NeurIPS, 2020)

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 (EMNLP (Findings), 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 (ICLR, 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 003 (ICPHM, 2021)

Do CNNs Encode Data Augmentations? - Eddie Yan; Yanping Huang (IJCNN, 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; et al. (CoRR, 2021)

GLaM: Efficient Scaling of Language Models with Mixture-of-Experts. - Nan Du 002; Yanping Huang; Andrew M. Dai; Simon Tong; Dmitry Lepikhin; Yuanzhong Xu; Maxim Krikun; Yanqi Zhou; Adams Wei Yu; Orhan Firat; Barret Zoph; Liam Fedus; et al. (ICML, 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 (ICPHM, 2022)

Mixture-of-Experts with Expert Choice Routing. - Yanqi Zhou; Tao Lei; Hanxiao Liu; Nan Du 002; Yanping Huang; Vincent Y. Zhao; Andrew M. Dai; Zhifeng Chen; Quoc V. Le; James Laudon (NeurIPS, 2022)

Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning. - Lianmin Zheng; Zhuohan Li 001; Hao Zhang 025; Yonghao Zhuang 001; Zhifeng Chen; Yanping Huang; Yida Wang 003; Yuanzhong Xu; Danyang Zhuo; Eric P. Xing; Joseph E. Gonzalez; Ion Stoica (OSDI, 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)

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; et al. (CoRR, 2022)

Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning. - Lianmin Zheng; Zhuohan Li 001; Hao Zhang 025; Yonghao Zhuang 001; Zhifeng Chen; Yanping Huang; Yida Wang 003; Yuanzhong Xu; Danyang Zhuo; Joseph E. Gonzalez; Ion Stoica (CoRR, 2022)

Designing Effective Sparse Expert Models. - Barret Zoph; Irwan Bello; Sameer Kumar; Nan Du 002; Yanping Huang; Jeff Dean; Noam Shazeer; William Fedus (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; et al. (CoRR, 2022)

Scaling Instruction-Finetuned Language Models. - Hyung Won Chung; Le Hou; Shayne Longpre; Barret Zoph; Yi Tay; William Fedus; Eric Li; Xuezhi Wang 002; Mostafa Dehghani 001; Siddhartha Brahma; Albert Webson; Shixiang Shane Gu; et al. (CoRR, 2022)

BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. - Yu Zhang 033; Daniel S. Park; Wei Han 002; James Qin; Anmol Gulati; Joel Shor; Aren Jansen; Yuanzhong Xu; Yanping Huang; Shibo Wang; Zongwei Zhou; Bo Li 028; et al. (IEEE J. Sel. Top. Signal Process., 2022)

Massively Multilingual Shallow Fusion with Large Language Models. - Ke Hu; Tara N. Sainath; Bo Li 028; Nan Du 002; Yanping Huang; Andrew M. Dai; Yu Zhang 033; Rodrigo Cabrera; Zhifeng Chen; Trevor Strohman (ICASSP, 2023)

Lifelong Language Pretraining with Distribution-Specialized Experts. - Wuyang Chen 001; Yanqi Zhou; Nan Du 002; Yanping Huang; James Laudon; Zhifeng Chen; Claire Cui (ICML, 2023)

Brainformers: Trading Simplicity for Efficiency. - Yanqi Zhou; Nan Du 002; Yanping Huang; Daiyi Peng; Chang Lan; Da Huang; Siamak Shakeri; David R. So; Andrew M. Dai; Yifeng Lu; Zhifeng Chen; Quoc V. Le; et al. (ICML, 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 001; Kevin P. Murphy; Alexander G. Hauptmann; et al. (NeurIPS, 2023)

AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving. - Zhuohan Li 001; Lianmin Zheng; Yinmin Zhong; Vincent Liu 001; Ying Sheng 007; Xin Jin 008; Yanping Huang; Zhifeng Chen; Hao Zhang 025; Joseph E. Gonzalez; Ion Stoica (OSDI, 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; et al. (CoRR, 2023)

Attention-enabled gated spiking neural P model for aspect-level sentiment classification. - Yanping Huang; Hong Peng 001; Qian Liu; Qian Yang 002; Jun Wang 013; David Orellana-Martín; Mario J. Pérez-Jiménez (Neural Networks, 2023)

Sentiment classification using bidirectional LSTM-SNP model and attention mechanism. - Yanping Huang; Qian Liu; Hong Peng 001; Jun Wang 013; Qian Yang 002; David Orellana-Martín (Expert Syst. Appl., 2023)

An Attention-Aware Long Short-Term Memory-Like Spiking Neural Model for Sentiment Analysis. - Qian Liu; Yanping Huang; Qian Yang 002; Hong Peng 001; Jun Wang 013 (Int. J. Neural Syst., 2023)

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; et al. (ICML, 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 (NeurIPS, 2024)

Sentence-level sentiment classification based on multi-attention bidirectional gated spiking neural P systems. - Yanping Huang; Xinzhu Bai; Qian Liu; Hong Peng 001; Qian Yang 002; Jun Wang 013 (Appl. Soft Comput., 2024)

Scaling Instruction-Finetuned Language Models. - Hyung Won Chung; Le Hou; Shayne Longpre; Barret Zoph; Yi Tay; William Fedus; Yunxuan Li; Xuezhi Wang 002; Mostafa Dehghani 001; Siddhartha Brahma; Albert Webson; Shixiang Shane Gu; et al. (J. Mach. Learn. Res., 2024)

Sequence recommendation using multi-level self-attention network with gated spiking neural P systems. - Xinzhu Bai; Yanping Huang; Hong Peng 001; Jun Wang 013; Qian Yang 002; David Orellana-Martín; Antonio Ramírez-de-Arellano; Mario J. Pérez-Jiménez (Inf. Sci., 2024)

Spiking neural self-attention network for sequence recommendation. - Xinzhu Bai; Yanping Huang; Hong Peng 001; Qian Yang 002; Jun Wang 013; Zhicai Liu (Appl. Soft Comput., 2025)

Effect of Parallel Cognitive-Motor Training Tasks on Hemodynamic Responses in Robot-Assisted Rehabilitation. - Duojin Wang; Jiankang Zhou; Yanping Huang; Qingyun Meng (Brain Connect., 2025)

A graph attention network integrated with gated spiking neural P systems for session-based recommendation. - Xinzhu Bai; Hong Peng 001; Yanping Huang; Jun Wang 013; Qian Yang 002; Antonio Ramírez-de-Arellano (Expert Syst. Appl., 2025)

Autellix: An Efficient Serving Engine for LLM Agents as General Programs. - Michael Luo; Xiaoxiang Shi; Colin Cai; Tianjun Zhang; Justin Wong; Yichuan Wang; Chi Wang; Yanping Huang; Zhifeng Chen; Joseph E. Gonzalez; Ion Stoica (CoRR, 2025)