Yanqi Zhou

According to our database, Yanqi Zhou authored at least 54 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Scalable Multi-Domain Adaptation of Language Models using Modular Experts.

Peter Schafhalter, Shun Liao, Yanqi Zhou, Chih-Kuan Yeh, Arun Kandoor, James Laudon

CoRR, 2024

SPLAT: A framework for optimised GPU code-generation for SParse reguLar ATtention.

Ahan Gupta, Yueming Yuan, Devansh Jain, Yuhao Ge, David Aponte, Yanqi Zhou, Charith Mendis

CoRR, 2024

Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models.

Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y. Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

FLuRKA: Fast fused Low-Rank & Kernel Attention.

Ahan Gupta, Yueming Yuan, Yanqi Zhou, Charith Mendis

CoRR, 2023

Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts.

Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y. Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou

CoRR, 2023

Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task Neural Architecture Search.

Thanh Vu, Yanqi Zhou, Chunfeng Wen, Yueqi Li, Jan-Michael Frahm

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference.

Tao Lei, Junwen Bai, Siddhartha Brahma, Joshua Ainslie, Kenton Lee, Yanqi Zhou, Nan Du, Vincent Y. Zhao, Yuexin Wu, Bo Li, Yu Zhang, Ming-Wei Chang

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

Learning Large Graph Property Prediction via Graph Segment Training.

Kaidi Cao, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi

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

GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing.

Yi Hu, Chaoran Zhang, Edward Andert, Harshul Singh, Aviral Shrivastava, James Laudon, Yanqi Zhou, Bob Iannucci, Carlee Joe-Wong

Proceedings of the Sixth Conference on Machine Learning and Systems, 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

TripLe: Revisiting Pretrained Model Reuse and Progressive Learning for Efficient Vision Transformer Scaling and Searching.

Cheng Fu, Hanxian Huang, Zixuan Jiang, Yun Ni, Lifeng Nai, Gang Wu, Liqun Cheng, Yanqi Zhou, Sheng Li, Andrew Li, Jishen Zhao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

An Image Compression Encryption Algorithm Based on Chaos and ZUC Stream Cipher.

Xiaomeng Song, Mengna Shi, Yanqi Zhou, Erfu Wang

Entropy, 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

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

Towards the Co-design of Neural Networks and Accelerators.

Yanqi Zhou, Xuanyi Dong, Tianjian Meng, Mingxing Tan, Berkin Akin, Daiyi Peng, Amir Yazdanbakhsh, Da Huang, Ravi Narayanaswami, James Laudon

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules.

Xinfeng Xie, Prakash Prabhu, Ulysse Beaugnon, Phitchaya Mangpo Phothilimthana, Sudip Roy, Azalia Mirhoseini, Eugene Brevdo, James Laudon, Yanqi Zhou

Proceedings of the Fifth Conference on Machine Learning and Systems, 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

Searching for Efficient Neural Architectures for On-Device ML on Edge TPUs.

Berkin Akin, Suyog Gupta, Yun Long, Anton Spiridonov, Zhuo Wang, Marie White, Hao Xu, Ping Zhou, Yanqi Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Visual Secure Image Encryption Scheme Based on Compressed Sensing and Regional Energy.

Mengna Shi, Shiyu Guo, Xiaomeng Song, Yanqi Zhou, Erfu Wang

Entropy, 2021

Rethinking Co-design of Neural Architectures and Hardware Accelerators.

Yanqi Zhou, Xuanyi Dong, Berkin Akin, Mingxing Tan, Daiyi Peng, Tianjian Meng, Amir Yazdanbakhsh, Da Huang, Ravi Narayanaswami, James Laudon

CoRR, 2021

Apollo: Transferable Architecture Exploration.

Amir Yazdanbakhsh, Christof Angermüller, Berkin Akin, Yanqi Zhou, Albin Jones, Milad Hashemi, Kevin Swersky, Satrajit Chatterjee, Ravi Narayanaswami, James Laudon

CoRR, 2021

Quantum Particle Swarm Optimization Extraction Algorithm Based on Quantum Chaos Encryption.

Chao Li, Mengna Shi, Yanqi Zhou, Erfu Wang

Complex., 2021

An Efficient Convolutional Blind Source Separation Algorithm for Speech Signals under Chaotic Masking.

Shiyu Guo, Mengna Shi, Yanqi Zhou, Jiayin Yu, Erfu Wang

Algorithms, 2021

A Learned Performance Model for Tensor Processing Units.

Samuel J. Kaufman, Phitchaya Mangpo Phothilimthana, Yanqi Zhou, Charith Mendis, Sudip Roy, Amit Sabne, Mike Burrows

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

An Block Image Encryption Algorithm Based on Reversible Cellular Automata.

Xiaomeng Song, Mengna Shi, Yanqi Zhou, Erfu Wang

Proceedings of the 21st International Conference on Communication Technology, 2021

Do Transformer Modifications Transfer Across Implementations and Applications?

Sharan Narang, Hyung Won Chung, Yi Tay, Liam Fedus, Thibault Févry, Michael Matena, Karishma Malkan, Noah Fiedel, Noam Shazeer, Zhenzhong Lan, Yanqi Zhou, Wei Li, Nan Ding, Jake Marcus, Adam Roberts, Colin Raffel

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Flexible Approach to Autotuning Multi-Pass Machine Learning Compilers.

Phitchaya Mangpo Phothilimthana, Amit Sabne, Nikhil Sarda, Karthik Srinivasa Murthy, Yanqi Zhou, Christof Angermueller, Mike Burrows, Sudip Roy, Ketan Mandke, Rezsa Farahani, Yu Emma Wang, Berkin Ilbeyi, Blake A. Hechtman, Bjarke Roune, Shen Wang, Yuanzhong Xu, Samuel J. Kaufman

Proceedings of the 30th International Conference on Parallel Architectures and Compilation Techniques, 2021

2020

A Single-Shot Generalized Device Placement for Large Dataflow Graphs.

Yanqi Zhou, Sudip Roy, AmirAli Abdolrashidi, Daniel Lin-Kit Wong, Peter C. Ma, Qiumin Xu, Azalia Mirhoseini, James Laudon

IEEE Micro, 2020

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, Peter J. Liu

J. Mach. Learn. Res., 2020

Reinforcement-Learning-Empowered MLaaS Scheduling for Serving Intelligent Internet of Things.

Heyang Qin, Syed Zawad, Yanqi Zhou, Sanjay Padhi, Lei Yang, Feng Yan

IEEE Internet Things J., 2020

A Learned Performance Model for the Tensor Processing Unit.

Samuel J. Kaufman, Phitchaya Mangpo Phothilimthana, Yanqi Zhou, Mike Burrows

CoRR, 2020

ODE-CNN: Omnidirectional Depth Extension Networks.

Xinjing Cheng, Peng Wang, Yanqi Zhou, Chenye Guan, Ruigang Yang

CoRR, 2020

Parallel Encryption of Noisy Images Based on Sequence Generator and Chaotic Measurement Matrix.

Jiayin Yu, Yaqin Xie, Shiyu Guo, Yanqi Zhou, Erfu Wang

Complex., 2020

Transferable Graph Optimizers for ML Compilers.

Yanqi Zhou, Sudip Roy, AmirAli Abdolrashidi, Daniel Wong, Peter C. Ma, Qiumin Xu, Hanxiao Liu, Mangpo Phitchaya Phothilimtha, Shen Wang, Anna Goldie, Azalia Mirhoseini, James Laudon

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

Omnidirectional Depth Extension Networks.

Xinjing Cheng, Peng Wang, Yanqi Zhou, Chenye Guan, Ruigang Yang

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

GDP: Generalized Device Placement for Dataflow Graphs.

Yanqi Zhou, Sudip Roy, AmirAli Abdolrashidi, Daniel Lin-Kit Wong, Peter C. Ma, Qiumin Xu, Ming Zhong, Hanxiao Liu, Anna Goldie, Azalia Mirhoseini, James Laudon

CoRR, 2019

EPNAS: Efficient Progressive Neural Architecture Search.

Yanqi Zhou, Peng Wang, Sercan Ömer Arik, Haonan Yu, Syed Zawad, Feng Yan, Greg Diamos

CoRR, 2019

OpenPiton: an open source hardware platform for your research.

Jonathan Balkind, Michael McKeown, Yaosheng Fu, Tri Minh Nguyen, Yanqi Zhou, Alexey Lavrov, Mohammad Shahrad, Adi Fuchs, Samuel Payne, Xiaohua Liang, Matthew Matl, David Wentzlaff

Commun. ACM, 2019

Swift machine learning model serving scheduling: a region based reinforcement learning approach.

Heyang Qin, Syed Zawad, Yanqi Zhou, Lei Yang, Dongfang Zhao, Feng Yan

Proceedings of the International Conference for High Performance Computing, 2019

EPNAS: Efficient Progressive Neural Architecture Search.

Yanqi Zhou, Peng Wang

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Resource-Efficient Neural Architect.

Yanqi Zhou, Siavash Ebrahimi, Sercan Ömer Arik, Haonan Yu, Hairong Liu, Greg Diamos

CoRR, 2018

Neural Voice Cloning with a Few Samples.

Sercan Ömer Arik, Jitong Chen, Kainan Peng, Wei Ping, Yanqi Zhou

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Power and Energy Characterization of an Open Source 25-Core Manycore Processor.

Michael McKeown, Alexey Lavrov, Mohammad Shahrad, Paul J. Jackson, Yaosheng Fu, Jonathan Balkind, Tri Minh Nguyen, Katie Lim, Yanqi Zhou, David Wentzlaff

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2018

2017

Piton: A Manycore Processor for Multitenant Clouds.

Michael McKeown, Yaosheng Fu, Tri Minh Nguyen, Yanqi Zhou, Jonathan Balkind, Alexey Lavrov, Mohammad Shahrad, Samuel Payne, David Wentzlaff

IEEE Micro, 2017

Deep Learning Scaling is Predictable, Empirically.

Joel Hestness, Sharan Narang, Newsha Ardalani, Gregory F. Diamos, Heewoo Jun, Hassan Kianinejad, Md. Mostofa Ali Patwary, Yang Yang, Yanqi Zhou

CoRR, 2017

Deep Voice 2: Multi-Speaker Neural Text-to-Speech.

Andrew Gibiansky, Sercan Ömer Arik, Gregory Frederick Diamos, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Camouflage: Memory Traffic Shaping to Mitigate Timing Attacks.

Yanqi Zhou, Sameer Wagh, Prateek Mittal, David Wentzlaff

Proceedings of the 2017 IEEE International Symposium on High Performance Computer Architecture, 2017

Atomic In-place Updates for Non-volatile Main Memories with Kamino-Tx.

Amir Saman Memaripour, Anirudh Badam, Amar Phanishayee, Yanqi Zhou, Ramnatthan Alagappan, Karin Strauss, Steven Swanson

Proceedings of the Twelfth European Conference on Computer Systems, 2017

2016

MITTS: Memory Inter-arrival Time Traffic Shaping.

Yanqi Zhou, David Wentzlaff

Proceedings of the 43rd ACM/IEEE Annual International Symposium on Computer Architecture, 2016

CASH: Supporting IaaS Customers with a Sub-core Configurable Architecture.

Yanqi Zhou, Henry Hoffmann, David Wentzlaff

Proceedings of the 43rd ACM/IEEE Annual International Symposium on Computer Architecture, 2016

Piton: A 25-core academic manycore research processor.

Michael McKeown, Yaosheng Fu, Tri Minh Nguyen, Yanqi Zhou, Jonathan Balkind, Alexey Lavrov, Mohammad Shahrad, Samuel Payne, David Wentzlaff

Proceedings of the 2016 IEEE Hot Chips 28 Symposium (HCS), 2016

OpenPiton: An Open Source Manycore Research Framework.

Jonathan Balkind, Michael McKeown, Yaosheng Fu, Tri Minh Nguyen, Yanqi Zhou, Alexey Lavrov, Mohammad Shahrad, Adi Fuchs, Samuel Payne, Xiaohua Liang, Matthew Matl, David Wentzlaff

Proceedings of the Twenty-First International Conference on Architectural Support for Programming Languages and Operating Systems, 2016

2014

The sharing architecture: sub-core configurability for IaaS clouds.

Yanqi Zhou, David Wentzlaff

Proceedings of the Architectural Support for Programming Languages and Operating Systems, 2014