Yanqi Zhou

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 67

Top Topics

Encryption Algorithm

Neural Architecture

Top Venues

Publications

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
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models. ICLR (2024)
Ahan Gupta, Yueming Yuan, Devansh Jain, Yuhao Ge, David Aponte, Yanqi Zhou, Charith Mendis
SPLAT: A framework for optimised GPU code-generation for SParse reguLar ATtention. CoRR (2024)
Yi Hu, Chaoran Zhang, Edward Andert, Harshul Singh, Aviral Shrivastava, James Laudon, Yanqi Zhou, Bob Iannucci, Carlee Joe-Wong
GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing. CoRR (2023)
Kaidi Cao, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi
Learning Large Graph Property Prediction via Graph Segment Training. CoRR (2023)
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
Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference. CoRR (2023)
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
Brainformers: Trading Simplicity for Efficiency. ICML (2023)
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
Brainformers: Trading Simplicity for Efficiency. CoRR (2023)
Thanh Vu, Yanqi Zhou, Chunfeng Wen, Yueqi Li, Jan-Michael Frahm
Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task Neural Architecture Search. WACV (2023)
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
Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference. NeurIPS (2023)
Yi Hu, Chaoran Zhang, Edward Andert, Harshul Singh, Aviral Shrivastava, James Laudon, Yanqi Zhou, Bob Iannucci, Carlee Joe-Wong
GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing. MLSys (2023)
Kaidi Cao, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi
Learning Large Graph Property Prediction via Graph Segment Training. NeurIPS (2023)
Cheng Fu, Hanxian Huang, Zixuan Jiang, Yun Ni, Lifeng Nai, Gang Wu, Liqun Cheng, Yanqi Zhou, Sheng Li, Andrew Li, Jishen Zhao
TripLe: Revisiting Pretrained Model Reuse and Progressive Learning for Efficient Vision Transformer Scaling and Searching. ICCV (2023)
Wuyang Chen, Yanqi Zhou, Nan Du, Yanping Huang, James Laudon, Zhifeng Chen, Claire Cui
Lifelong Language Pretraining with Distribution-Specialized Experts. ICML (2023)
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 Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou
Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts. CoRR (2023)
Ahan Gupta, Yueming Yuan, Yanqi Zhou, Charith Mendis
FLuRKA: Fast fused Low-Rank & Kernel Attention. CoRR (2023)
Wuyang Chen, Yanqi Zhou, Nan Du, Yanping Huang, James Laudon, Zhifeng Chen, Claire Cui
Lifelong Language Pretraining with Distribution-Specialized Experts. CoRR (2023)
Yanqi Zhou, Tao Lei, Hanxiao Liu, Nan Du, Yanping Huang, Vincent Zhao, Andrew M. Dai, Zhifeng Chen, Quoc V. Le, James Laudon
Mixture-of-Experts with Expert Choice Routing. NeurIPS (2022)
Xinfeng Xie, Prakash Prabhu, Ulysse Beaugnon, Phitchaya Mangpo Phothilimthana, Sudip Roy, Azalia Mirhoseini, Eugene Brevdo, James Laudon, Yanqi Zhou
A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules. MLSys (2022)
Thanh Vu, Yanqi Zhou, Chunfeng Wen, Yueqi Li, Jan-Michael Frahm
Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task Neural Architecture Search. CoRR (2022)
Berkin Akin, Suyog Gupta, Yun Long, Anton Spiridonov, Zhuo Wang, Marie White, Hao Xu, Ping Zhou, Yanqi Zhou
Searching for Efficient Neural Architectures for On-Device ML on Edge TPUs. CVPR Workshops (2022)
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 Aguera-Arcas, Claire Cui, Marian Croak, Ed Chi, Quoc Le
LaMDA: Language Models for Dialog Applications. CoRR (2022)
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
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts. ICML (2022)
Yanqi Zhou, Xuanyi Dong, Tianjian Meng, Mingxing Tan, Berkin Akin, Daiyi Peng, Amir Yazdanbakhsh, Da Huang, Ravi Narayanaswami, James Laudon
Towards the Co-design of Neural Networks and Accelerators. MLSys (2022)
Yanqi Zhou, Tao Lei, Hanxiao Liu, Nan Du, Yanping Huang, Vincent Y. Zhao, Andrew M. Dai, Zhifeng Chen, Quoc Le, James Laudon
Mixture-of-Experts with Expert Choice Routing. CoRR (2022)
Berkin Akin, Suyog Gupta, Yun Long, Anton Spiridonov, Zhuo Wang, Marie White, Hao Xu, Ping Zhou, Yanqi Zhou
Searching for Efficient Neural Architectures for On-Device ML on Edge TPUs. CoRR (2022)
Xiaomeng Song, Mengna Shi, Yanqi Zhou, Erfu Wang
An Image Compression Encryption Algorithm Based on Chaos and ZUC Stream Cipher. Entropy 24 (5) (2022)
Xiaomeng Song, Mengna Shi, Yanqi Zhou, Erfu Wang
An Block Image Encryption Algorithm Based on Reversible Cellular Automata. ICCT (2021)
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 Bosma, Zongwei Zhou, Tao Wang, Yu Emma Wang, Kellie Webster, Marie Pellat, Kevin Robinson, Kathy Meier-Hellstern, Toju Duke, Lucas Dixon, Kun Zhang, Quoc V. Le, Yonghui Wu, Zhifeng Chen, Claire Cui
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts. CoRR (2021)
Yanqi Zhou, Xuanyi Dong, Berkin Akin, Mingxing Tan, Daiyi Peng, Tianjian Meng, Amir Yazdanbakhsh, Da Huang, Ravi Narayanaswami, James Laudon
Rethinking Co-design of Neural Architectures and Hardware Accelerators. CoRR (2021)
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
Do Transformer Modifications Transfer Across Implementations and Applications? EMNLP (1) (2021)
Sharan Narang, Hyung Won Chung, Yi Tay, William 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
Do Transformer Modifications Transfer Across Implementations and Applications? CoRR (2021)
Samuel J. Kaufman, Phitchaya Mangpo Phothilimthana, Yanqi Zhou, Charith Mendis, Sudip Roy, Amit Sabne, Mike Burrows
A Learned Performance Model for Tensor Processing Units. MLSys (2021)
Chao Li, Mengna Shi, Yanqi Zhou, Erfu Wang
Quantum Particle Swarm Optimization Extraction Algorithm Based on Quantum Chaos Encryption. Complex. 2021 (2021)
Shiyu Guo, Mengna Shi, Yanqi Zhou, Jiayin Yu, Erfu Wang
An Efficient Convolutional Blind Source Separation Algorithm for Speech Signals under Chaotic Masking. Algorithms 14 (6) (2021)
Xinfeng Xie, Prakash Prabhu, Ulysse Beaugnon, Phitchaya Mangpo Phothilimthana, Sudip Roy, Azalia Mirhoseini, Eugene Brevdo, James Laudon, Yanqi Zhou
A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules. CoRR (2021)
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
A Flexible Approach to Autotuning Multi-Pass Machine Learning Compilers. PACT (2021)
Amir Yazdanbakhsh, Christof Angermüller, Berkin Akin, Yanqi Zhou, Albin Jones, Milad Hashemi, Kevin Swersky, Satrajit Chatterjee, Ravi Narayanaswami, James Laudon
Apollo: Transferable Architecture Exploration. CoRR (2021)
Mengna Shi, Shiyu Guo, Xiaomeng Song, Yanqi Zhou, Erfu Wang
Visual Secure Image Encryption Scheme Based on Compressed Sensing and Regional Energy. Entropy 23 (5) (2021)
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, Peter J. Liu
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer. J. Mach. Learn. Res. 21 (2020)
Samuel J. Kaufman, Phitchaya Mangpo Phothilimthana, Yanqi Zhou, Mike Burrows
A Learned Performance Model for the Tensor Processing Unit. CoRR (2020)
Heyang Qin, Syed Zawad, Yanqi Zhou, Sanjay Padhi, Lei Yang, Feng Yan
Reinforcement-Learning-Empowered MLaaS Scheduling for Serving Intelligent Internet of Things. IEEE Internet Things J. 7 (7) (2020)
Xinjing Cheng, Peng Wang, Yanqi Zhou, Chenye Guan, Ruigang Yang
ODE-CNN: Omnidirectional Depth Extension Networks. CoRR (2020)
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
Transferable Graph Optimizers for ML Compilers. NeurIPS (2020)
Yanqi Zhou, Sudip Roy, AmirAli Abdolrashidi, Daniel Lin-Kit Wong, Peter C. Ma, Qiumin Xu, Azalia Mirhoseini, James Laudon
A Single-Shot Generalized Device Placement for Large Dataflow Graphs. IEEE Micro 40 (5) (2020)
Xinjing Cheng, Peng Wang, Yanqi Zhou, Chenye Guan, Ruigang Yang
Omnidirectional Depth Extension Networks. ICRA (2020)
Jiayin Yu, Yaqin Xie, Shiyu Guo, Yanqi Zhou, Erfu Wang
Parallel Encryption of Noisy Images Based on Sequence Generator and Chaotic Measurement Matrix. Complex. 2020 (2020)
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
Transferable Graph Optimizers for ML Compilers. CoRR (2020)
Yanqi Zhou, Peng Wang, Sercan Ömer Arik, Haonan Yu, Syed Zawad, Feng Yan, Greg Diamos
EPNAS: Efficient Progressive Neural Architecture Search. CoRR (2019)
Yanqi Zhou, Peng Wang
EPNAS: Efficient Progressive Neural Architecture Search. BMVC (2019)
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
GDP: Generalized Device Placement for Dataflow Graphs. CoRR (2019)
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, Peter J. Liu
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer. CoRR (2019)
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
OpenPiton: an open source hardware platform for your research. Commun. ACM 62 (12) (2019)
Heyang Qin, Syed Zawad, Yanqi Zhou, Lei Yang, Dongfang Zhao, Feng Yan
Swift machine learning model serving scheduling: a region based reinforcement learning approach. SC (2019)
Sercan Ömer Arik, Jitong Chen, Kainan Peng, Wei Ping, Yanqi Zhou
Neural Voice Cloning with a Few Samples. CoRR (2018)
Yanqi Zhou, Siavash Ebrahimi, Sercan Ömer Arik, Haonan Yu, Hairong Liu, Greg Diamos
Resource-Efficient Neural Architect. CoRR (2018)
Michael McKeown, Alexey Lavrov, Mohammad Shahrad, Paul J. Jackson, Yaosheng Fu, Jonathan Balkind, Tri Minh Nguyen, Katie Lim, Yanqi Zhou, David Wentzlaff
Power and Energy Characterization of an Open Source 25-Core Manycore Processor. HPCA (2018)
Sercan Ömer Arik, Jitong Chen, Kainan Peng, Wei Ping, Yanqi Zhou
Neural Voice Cloning with a Few Samples. NeurIPS (2018)
Yanqi Zhou, Sameer Wagh, Prateek Mittal, David Wentzlaff
Camouflage: Memory Traffic Shaping to Mitigate Timing Attacks. HPCA (2017)
Andrew Gibiansky, Sercan Ömer Arik, Gregory Frederick Diamos, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou
Deep Voice 2: Multi-Speaker Neural Text-to-Speech. NIPS (2017)
Joel Hestness, Sharan Narang, Newsha Ardalani, Gregory F. Diamos, Heewoo Jun, Hassan Kianinejad, Md. Mostofa Ali Patwary, Yang Yang, Yanqi Zhou
Deep Learning Scaling is Predictable, Empirically. CoRR (2017)
Amir Saman Memaripour, Anirudh Badam, Amar Phanishayee, Yanqi Zhou, Ramnatthan Alagappan, Karin Strauss, Steven Swanson
Atomic In-place Updates for Non-volatile Main Memories with Kamino-Tx. EuroSys (2017)
Sercan Ömer Arik, Gregory F. Diamos, Andrew Gibiansky, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou
Deep Voice 2: Multi-Speaker Neural Text-to-Speech. CoRR (2017)
Michael McKeown, Yaosheng Fu, Tri Minh Nguyen, Yanqi Zhou, Jonathan Balkind, Alexey Lavrov, Mohammad Shahrad, Samuel Payne, David Wentzlaff
Piton: A Manycore Processor for Multitenant Clouds. IEEE Micro 37 (2) (2017)
Michael McKeown, Yaosheng Fu, Tri Minh Nguyen, Yanqi Zhou, Jonathan Balkind, Alexey Lavrov, Mohammad Shahrad, Samuel Payne, David Wentzlaff
Piton: A 25-core academic manycore research processor. Hot Chips Symposium (2016)
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
OpenPiton: An Open Source Manycore Research Framework. ASPLOS (2016)
Yanqi Zhou, David Wentzlaff
MITTS: Memory Inter-arrival Time Traffic Shaping. ISCA (2016)
Yanqi Zhou, Henry Hoffmann, David Wentzlaff
CASH: Supporting IaaS Customers with a Sub-core Configurable Architecture. ISCA (2016)
Yanqi Zhou, David Wentzlaff
The sharing architecture: sub-core configurability for IaaS clouds. ASPLOS (2014)