Yanqi Zhou - RankMe

73 papers A* 18A 4B 1Journal 41Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	EchoLM: Accelerating LLM Serving with Real-time Knowledge Distillation. CoRR Yifan Yu, Yu Gan, Lillian Tsai, Nikhil Sarda, Jiaming Shen, Yanqi Zhou, Arvind Krishnamurthy, Fan Lai, Henry M. Levy, David E. Culler
2025	A*	`conf`	IC-Cache: Efficient Large Language Model Serving via In-context Caching. SOSP Yifan Yu, Yu Gan, Nikhil Sarda, Lillian Tsai, Jiaming Shen, Yanqi Zhou, Arvind Krishnamurthy, Fan Lai, Hank Levy, David E. Culler
2025	J	`jnl`	SPLAT: A Framework for Optimised GPU Code-Generation for SParse reguLar ATtention. Proc. ACM Program. Lang. Ahan Gupta, Yueming Yuan, Devansh Jain, Yuhao Ge, David Aponte, Yanqi Zhou, Charith Mendis
2025	J	`jnl`	Toward Cost-Efficient Serving of Mixture-of-Experts with Asynchrony. CoRR Shaoyu Wang, Guangrong He, Geon-Woo Kim, Yanqi Zhou, Seo Jin Park
2024	A*	`conf`	Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models. ICLR 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
2024	J	`jnl`	SPLAT: A framework for optimised GPU code-generation for SParse reguLar ATtention. CoRR Ahan Gupta, Yueming Yuan, Devansh Jain, Yuhao Ge, David Aponte, Yanqi Zhou, Charith Mendis
2024	J	`jnl`	Scalable Multi-Domain Adaptation of Language Models using Modular Experts. CoRR Peter Schafhalter, Shun Liao, Yanqi Zhou, Chih-Kuan Yeh, Arun Kandoor, James Laudon
2023	A*	`conf`	Brainformers: Trading Simplicity for Efficiency. ICML 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
2023	J	`jnl`	Brainformers: Trading Simplicity for Efficiency. CoRR 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
2023	A*	`conf`	Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference. NeurIPS 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
2023	J	`jnl`	Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference. CoRR 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
2023	J	`jnl`	FLuRKA: Fast fused Low-Rank & Kernel Attention. CoRR Ahan Gupta, Yueming Yuan, Yanqi Zhou, Charith Mendis
2023	J	`jnl`	Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts. CoRR 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
2023	—	`conf`	GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing. MLSys Yi Hu, Chaoran Zhang, Edward Andert, Harshul Singh, Aviral Shrivastava, James Laudon, Yanqi Zhou, Bob Iannucci, Carlee Joe-Wong
2023	J	`jnl`	GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing. CoRR Yi Hu, Chaoran Zhang, Edward Andert, Harshul Singh, Aviral Shrivastava, James Laudon, Yanqi Zhou, Bob Iannucci, Carlee Joe-Wong
2023	A*	`conf`	Learning Large Graph Property Prediction via Graph Segment Training. NeurIPS Kaidi Cao, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi
2023	J	`jnl`	Learning Large Graph Property Prediction via Graph Segment Training. CoRR Kaidi Cao, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi
2023	A*	`conf`	Lifelong Language Pretraining with Distribution-Specialized Experts. ICML Wuyang Chen, Yanqi Zhou, Nan Du, Yanping Huang, James Laudon, Zhifeng Chen, Claire Cui
2023	J	`jnl`	Lifelong Language Pretraining with Distribution-Specialized Experts. CoRR Wuyang Chen, Yanqi Zhou, Nan Du, Yanping Huang, James Laudon, Zhifeng Chen, Claire Cui
2023	A	`conf`	Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task Neural Architecture Search. WACV Thanh Vu, Yanqi Zhou, Chunfeng Wen, Yueqi Li, Jan-Michael Frahm
2023	A*	`conf`	TripLe: Revisiting Pretrained Model Reuse and Progressive Learning for Efficient Vision Transformer Scaling and Searching. ICCV Cheng Fu, Hanxian Huang, Zixuan Jiang, Yun Ni, Lifeng Nai, Gang Wu, Liqun Cheng, Yanqi Zhou, Sheng Li, Andrew Li, Jishen Zhao
2022	—	`conf`	A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules. MLSys Xinfeng Xie, Prakash Prabhu, Ulysse Beaugnon, Phitchaya Mangpo Phothilimthana, Sudip Roy, Azalia Mirhoseini, Eugene Brevdo, James Laudon, Yanqi Zhou
2022	J	`jnl`	An Image Compression Encryption Algorithm Based on Chaos and ZUC Stream Cipher. Entropy Xiaomeng Song, Mengna Shi, Yanqi Zhou, Erfu Wang
2022	A*	`conf`	GLaM: Efficient Scaling of Language Models with Mixture-of-Experts. ICML 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
2022	J	`jnl`	LaMDA: Language Models for Dialog Applications. CoRR 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
2022	A*	`conf`	Mixture-of-Experts with Expert Choice Routing. NeurIPS Yanqi Zhou, Tao Lei, Hanxiao Liu, Nan Du, Yanping Huang, Vincent Y. Zhao, Andrew M. Dai, Zhifeng Chen, Quoc V. Le, James Laudon
2022	J	`jnl`	Mixture-of-Experts with Expert Choice Routing. CoRR Yanqi Zhou, Tao Lei, Hanxiao Liu, Nan Du, Yanping Huang, Vincent Y. Zhao, Andrew M. Dai, Zhifeng Chen, Quoc Le, James Laudon
2022	—	`conf`	Searching for Efficient Neural Architectures for On-Device ML on Edge TPUs. CVPR Workshops Berkin Akin, Suyog Gupta, Yun Long, Anton Spiridonov, Zhuo Wang, Marie White, Hao Xu, Ping Zhou, Yanqi Zhou
2022	J	`jnl`	Searching for Efficient Neural Architectures for On-Device ML on Edge TPUs. CoRR Berkin Akin, Suyog Gupta, Yun Long, Anton Spiridonov, Zhuo Wang, Marie White, Hao Xu, Ping Zhou, Yanqi Zhou
2022	J	`jnl`	Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task Neural Architecture Search. CoRR Thanh Vu, Yanqi Zhou, Chunfeng Wen, Yueqi Li, Jan-Michael Frahm
2022	—	`conf`	Towards the Co-design of Neural Networks and Accelerators. MLSys Yanqi Zhou, Xuanyi Dong, Tianjian Meng, Mingxing Tan, Berkin Akin, Daiyi Peng, Amir Yazdanbakhsh, Da Huang, Ravi Narayanaswami, James Laudon
2021	B	`conf`	A Flexible Approach to Autotuning Multi-Pass Machine Learning Compilers. PACT 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
2021	—	`conf`	A Learned Performance Model for Tensor Processing Units. MLSys Samuel J. Kaufman, Phitchaya Mangpo Phothilimthana, Yanqi Zhou, Charith Mendis, Sudip Roy, Amit Sabne, Mike Burrows
2021	J	`jnl`	A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules. CoRR Xinfeng Xie, Prakash Prabhu, Ulysse Beaugnon, Phitchaya Mangpo Phothilimthana, Sudip Roy, Azalia Mirhoseini, Eugene Brevdo, James Laudon, Yanqi Zhou
2021	—	`conf`	An Block Image Encryption Algorithm Based on Reversible Cellular Automata. ICCT Xiaomeng Song, Mengna Shi, Yanqi Zhou, Erfu Wang
2021	J	`jnl`	An Efficient Convolutional Blind Source Separation Algorithm for Speech Signals under Chaotic Masking. Algorithms Shiyu Guo, Mengna Shi, Yanqi Zhou, Jiayin Yu, Erfu Wang
2021	J	`jnl`	Apollo: Transferable Architecture Exploration. CoRR Amir Yazdanbakhsh, Christof Angermüller, Berkin Akin, Yanqi Zhou, Albin Jones, Milad Hashemi, Kevin Swersky, Satrajit Chatterjee, Ravi Narayanaswami, James Laudon
2021	—	`conf`	Do Transformer Modifications Transfer Across Implementations and Applications? EMNLP (1) 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
2021	J	`jnl`	Do Transformer Modifications Transfer Across Implementations and Applications? CoRR 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
2021	J	`jnl`	GLaM: Efficient Scaling of Language Models with Mixture-of-Experts. CoRR 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
2021	J	`jnl`	Quantum Particle Swarm Optimization Extraction Algorithm Based on Quantum Chaos Encryption. Complex. Chao Li, Mengna Shi, Yanqi Zhou, Erfu Wang
2021	J	`jnl`	Rethinking Co-design of Neural Architectures and Hardware Accelerators. CoRR Yanqi Zhou, Xuanyi Dong, Berkin Akin, Mingxing Tan, Daiyi Peng, Tianjian Meng, Amir Yazdanbakhsh, Da Huang, Ravi Narayanaswami, James Laudon
2021	J	`jnl`	Visual Secure Image Encryption Scheme Based on Compressed Sensing and Regional Energy. Entropy Mengna Shi, Shiyu Guo, Xiaomeng Song, Yanqi Zhou, Erfu Wang
2020	J	`jnl`	A Learned Performance Model for the Tensor Processing Unit. CoRR Samuel J. Kaufman, Phitchaya Mangpo Phothilimthana, Yanqi Zhou, Mike Burrows
2020	J	`jnl`	A Single-Shot Generalized Device Placement for Large Dataflow Graphs. IEEE Micro Yanqi Zhou, Sudip Roy, AmirAli Abdolrashidi, Daniel Lin-Kit Wong, Peter C. Ma, Qiumin Xu, Azalia Mirhoseini, James Laudon
2020	J	`jnl`	Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer. J. Mach. Learn. Res. Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, Peter J. Liu
2020	J	`jnl`	ODE-CNN: Omnidirectional Depth Extension Networks. CoRR Xinjing Cheng, Peng Wang, Yanqi Zhou, Chenye Guan, Ruigang Yang
2020	A*	`conf`	Omnidirectional Depth Extension Networks. ICRA Xinjing Cheng, Peng Wang, Yanqi Zhou, Chenye Guan, Ruigang Yang
2020	J	`jnl`	Parallel Encryption of Noisy Images Based on Sequence Generator and Chaotic Measurement Matrix. Complex. Jiayin Yu, Yaqin Xie, Shiyu Guo, Yanqi Zhou, Erfu Wang
2020	J	`jnl`	Reinforcement-Learning-Empowered MLaaS Scheduling for Serving Intelligent Internet of Things. IEEE Internet Things J. Heyang Qin, Syed Zawad, Yanqi Zhou, Sanjay Padhi, Lei Yang, Feng Yan
2020	A*	`conf`	Transferable Graph Optimizers for ML Compilers. NeurIPS 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
2020	J	`jnl`	Transferable Graph Optimizers for ML Compilers. CoRR 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
2019	A	`conf`	EPNAS: Efficient Progressive Neural Architecture Search. BMVC Yanqi Zhou, Peng Wang
2019	J	`jnl`	EPNAS: Efficient Progressive Neural Architecture Search. CoRR Yanqi Zhou, Peng Wang, Sercan Ömer Arik, Haonan Yu, Syed Zawad, Feng Yan, Greg Diamos
2019	J	`jnl`	Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer. CoRR Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, Peter J. Liu
2019	J	`jnl`	GDP: Generalized Device Placement for Dataflow Graphs. CoRR 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
2019	J	`jnl`	OpenPiton: an open source hardware platform for your research. Commun. ACM 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
2019	A	`conf`	Swift machine learning model serving scheduling: a region based reinforcement learning approach. SC Heyang Qin, Syed Zawad, Yanqi Zhou, Lei Yang, Dongfang Zhao, Feng Yan
2018	A*	`conf`	Neural Voice Cloning with a Few Samples. NeurIPS Sercan Ömer Arik, Jitong Chen, Kainan Peng, Wei Ping, Yanqi Zhou
2018	J	`jnl`	Neural Voice Cloning with a Few Samples. CoRR Sercan Ömer Arik, Jitong Chen, Kainan Peng, Wei Ping, Yanqi Zhou
2018	A*	`conf`	Power and Energy Characterization of an Open Source 25-Core Manycore Processor. HPCA Michael McKeown, Alexey Lavrov, Mohammad Shahrad, Paul J. Jackson, Yaosheng Fu, Jonathan Balkind, Tri Minh Nguyen, Katie Lim, Yanqi Zhou, David Wentzlaff
2018	J	`jnl`	Resource-Efficient Neural Architect. CoRR Yanqi Zhou, Siavash Ebrahimi, Sercan Ömer Arik, Haonan Yu, Hairong Liu, Greg Diamos
2017	A	`conf`	Atomic In-place Updates for Non-volatile Main Memories with Kamino-Tx. EuroSys Amir Saman Memaripour, Anirudh Badam, Amar Phanishayee, Yanqi Zhou, Ramnatthan Alagappan, Karin Strauss, Steven Swanson
2017	A*	`conf`	Camouflage: Memory Traffic Shaping to Mitigate Timing Attacks. HPCA Yanqi Zhou, Sameer Wagh, Prateek Mittal, David Wentzlaff
2017	J	`jnl`	Deep Learning Scaling is Predictable, Empirically. CoRR Joel Hestness, Sharan Narang, Newsha Ardalani, Gregory F. Diamos, Heewoo Jun, Hassan Kianinejad, Md. Mostofa Ali Patwary, Yang Yang, Yanqi Zhou
2017	—	`conf`	Deep Voice 2: Multi-Speaker Neural Text-to-Speech. NIPS Andrew Gibiansky, Sercan Ömer Arik, Gregory Frederick Diamos, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou
2017	J	`jnl`	Deep Voice 2: Multi-Speaker Neural Text-to-Speech. CoRR Sercan Ömer Arik, Gregory F. Diamos, Andrew Gibiansky, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou
2017	J	`jnl`	Piton: A Manycore Processor for Multitenant Clouds. IEEE Micro Michael McKeown, Yaosheng Fu, Tri Minh Nguyen, Yanqi Zhou, Jonathan Balkind, Alexey Lavrov, Mohammad Shahrad, Samuel Payne, David Wentzlaff
2016	A*	`conf`	CASH: Supporting IaaS Customers with a Sub-core Configurable Architecture. ISCA Yanqi Zhou, Henry Hoffmann, David Wentzlaff
2016	A*	`conf`	MITTS: Memory Inter-arrival Time Traffic Shaping. ISCA Yanqi Zhou, David Wentzlaff
2016	A*	`conf`	OpenPiton: An Open Source Manycore Research Framework. ASPLOS 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
2016	—	`conf`	Piton: A 25-core academic manycore research processor. Hot Chips Symposium Michael McKeown, Yaosheng Fu, Tri Minh Nguyen, Yanqi Zhou, Jonathan Balkind, Alexey Lavrov, Mohammad Shahrad, Samuel Payne, David Wentzlaff
2014	A*	`conf`	The sharing architecture: sub-core configurability for IaaS clouds. ASPLOS Yanqi Zhou, David Wentzlaff