Fei Sun

46 papers A* 11A 4B 2Misc 2Journal 24Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Composer: A Search Framework for Hybrid Neural Architecture Design.
CoRR
Bilge Acun, Prasoon Sinha, Newsha Ardalani, Sangmin Bae, Alicia Golden, Chien-Yu Lin, Meghana Madhyastha, Fei Sun, Neeraja J. Yadwadkar, Carole-Jean Wu
2025 A conf
Q-TempFusion: Quantization-Aware Temporal Multi-Sensor Fusion on Bird's-Eye View Representation.
WACV
Pinrui Yu, Zhenglun Kong, Pu Zhao, Peiyan Dong, Hao Tang, Fei Sun, Xue Lin, Yanzhi Wang
2024 A* conf
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything.
CVPR
Yunyang Xiong, Bala Varadarajan, Lemeng Wu, Xiaoyu Xiang, Fanyi Xiao, Chenchen Zhu, Xiaoliang Dai, Dilin Wang, Fei Sun, Forrest N. Iandola, Raghuraman Krishnamoorthi, Vikas Chandra
2024 B conf
Generative AI Beyond LLMs: System Implications of Multi-Modal Generation.
ISPASS
Alicia Golden, Samuel Hsia, Fei Sun, Bilge Acun, Basil Hosmer, Yejin Lee, Zachary DeVito, Jeff Johnson, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2024 J jnl
Is Flash Attention Stable?
CoRR
Alicia Golden, Samuel Hsia, Fei Sun, Bilge Acun, Basil Hosmer, Yejin Lee, Zachary DeVito, Jeff Johnson, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2024 — conf
Pruning Foundation Models for High Accuracy without Retraining.
EMNLP (Findings)
Pu Zhao, Fei Sun, Xuan Shen, Pinrui Yu, Zhenglun Kong, Yanzhi Wang, Xue Lin
2024 J jnl
Pruning Foundation Models for High Accuracy without Retraining.
CoRR
Pu Zhao, Fei Sun, Xuan Shen, Pinrui Yu, Zhenglun Kong, Yanzhi Wang, Xue Lin
2023 J jnl
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything.
CoRR
Yunyang Xiong, Bala Varadarajan, Lemeng Wu, Xiaoyu Xiang, Fanyi Xiao, Chenchen Zhu, Xiaoliang Dai, Dilin Wang, Fei Sun, Forrest N. Iandola, Raghuraman Krishnamoorthi, Vikas Chandra
2023 J jnl
Generative AI Beyond LLMs: System Implications of Multi-Modal Generation.
CoRR
Alicia Golden, Samuel Hsia, Fei Sun, Bilge Acun, Basil Hosmer, Yejin Lee, Zachary DeVito, Jeff Johnson, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2022 — conf
184QPS/W 64Mb/mm
ISSCC
Dimin Niu, Shuangchen Li, Yuhao Wang, Wei Han, Zhe Zhang, Yijin Guan, Tianchan Guan, Fei Sun, Fei Xue, Lide Duan, Yuanwei Fang, Hongzhong Zheng, Xiping Jiang, Song Wang, Fengguo Zuo, Yubing Wang, Bing Yu, Qiwei Ren, Yuan Xie
2022 A* conf
A one-for-all and
ASPLOS
Bangyan Wang, Lei Deng, Fei Sun, Guohao Dai, Liu Liu, Yu Wang, Yuan Xie
2022 A* conf
CHEX: CHannel EXploration for CNN Model Compression.
CVPR
Zejiang Hou, Minghai Qin, Fei Sun, Xiaolong Ma, Kun Yuan, Yi Xu, Yen-Kuang Chen, Rong Jin, Yuan Xie, Sun-Yuan Kung
2022 J jnl
CHEX: CHannel EXploration for CNN Model Compression.
CoRR
Zejiang Hou, Minghai Qin, Fei Sun, Xiaolong Ma, Kun Yuan, Yi Xu, Yen-Kuang Chen, Rong Jin, Yuan Xie, Sun-Yuan Kung
2022 B conf
Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting.
ICTAI
Minghai Qin, Tianyun Zhang, Fei Sun, Yen-Kuang Chen, Makan Fardad, Yanzhi Wang, Yuan Xie
2022 A* conf
Effective Model Sparsification by Scheduled Grow-and-Prune Methods.
ICLR
Xiaolong Ma, Minghai Qin, Fei Sun, Zejiang Hou, Kun Yuan, Yi Xu, Yanzhi Wang, Yen-Kuang Chen, Rong Jin, Yuan Xie
2022 J jnl
MILAN: Masked Image Pretraining on Language Assisted Representation.
CoRR
Zejiang Hou, Fei Sun, Yen-Kuang Chen, Yuan Xie, Sun-Yuan Kung
2022 J jnl
Shfl-BW: Accelerating Deep Neural Network Inference with Tensor-Core Aware Weight Pruning.
CoRR
Guyue Huang, Haoran Li, Minghai Qin, Fei Sun, Yufei Ding, Yuan Xie
2022 A* conf
Shfl-BW: accelerating deep neural network inference with tensor-core aware weight pruning.
DAC
Guyue Huang, Haoran Li, Minghai Qin, Fei Sun, Yufei Ding, Yuan Xie
2021 J jnl
Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting.
CoRR
Minghai Qin, Tianyun Zhang, Fei Sun, Yen-Kuang Chen, Makan Fardad, Yanzhi Wang, Yuan Xie
2021 J jnl
Effective Model Sparsification by Scheduled Grow-and-Prune Methods.
CoRR
Xiaolong Ma, Minghai Qin, Fei Sun, Zejiang Hou, Kun Yuan, Yi Xu, Yanzhi Wang, Yen-Kuang Chen, Rong Jin, Yuan Xie
2021 J jnl
Load-balanced Gather-scatter Patterns for Sparse Deep Neural Networks.
CoRR
Fei Sun, Minghai Qin, Tianyun Zhang, Xiaolong Ma, Haoran Li, Junwen Luo, Zihao Zhao, Yen-Kuang Chen, Yuan Xie
2020 J jnl
A Unified DNN Weight Compression Framework Using Reweighted Optimization Methods.
CoRR
Tianyun Zhang, Xiaolong Ma, Zheng Zhan, Shanglin Zhou, Minghai Qin, Fei Sun, Yen-Kuang Chen, Caiwen Ding, Makan Fardad, Yanzhi Wang
2020 J jnl
Computation on Sparse Neural Networks: an Inspiration for Future Hardware.
CoRR
Fei Sun, Minghai Qin, Tianyun Zhang, Liu Liu, Yen-Kuang Chen, Yuan Xie
2020 A* conf
INVITED: Computation on Sparse Neural Networks and its Implications for Future Hardware.
DAC
Fei Sun, Minghai Qin, Tianyun Zhang, Liu Liu, Yen-Kuang Chen, Yuan Xie
2020 A* conf
Learning in the Frequency Domain.
CVPR
Kai Xu, Minghai Qin, Fei Sun, Yuhao Wang, Yen-Kuang Chen, Fengbo Ren
2020 J jnl
Learning in the Frequency Domain.
CoRR
Kai Xu, Minghai Qin, Fei Sun, Yuhao Wang, Yen-Kuang Chen, Fengbo Ren
2020 A* conf
MLPerf Inference Benchmark.
ISCA
Vijay Janapa Reddi, Christine Cheng, David Kanter, Peter Mattson, Guenther Schmuelling, Carole-Jean Wu, Brian Anderson, Maximilien Breughe, Mark Charlebois, William Chou, Ramesh Chukka, Cody Coleman, Sam Davis, Pan Deng, Greg Diamos, Jared Duke, Dave Fick, J. Scott Gardner, Itay Hubara, Sachin Idgunji, Thomas B. Jablin, Jeff Jiao, Tom St. John, Pankaj Kanwar, David Lee, Jeffery Liao, Anton Lokhmotov, Francisco Massa, Peng Meng, Paulius Micikevicius, Colin Osborne, Gennady Pekhimenko, Arun Tejusve Raghunath Rajan, Dilip Sequeira, Ashish Sirasao, Fei Sun, Hanlin Tang, Michael Thomson, Frank Wei, Ephrem Wu, Lingjie Xu, Koichi Yamada, Bing Yu, George Yuan, Aaron Zhong, Peizhao Zhang, Yuchen Zhou
2019 A* conf
ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation.
CVPR
Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Hongxu Yin, Fei Sun, Yanghan Wang, Marat Dukhan, Yunqing Hu, Yiming Wu, Yangqing Jia, Peter Vajda, Matt Uyttendaele, Niraj K. Jha
2019 A* conf
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search.
CVPR
Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer
2019 J jnl
Low-Power Computer Vision: Status, Challenges, Opportunities.
CoRR
Sergei Alyamkin, Matthew Ardi, Alexander C. Berg, Achille Brighton, Bo Chen, Yiran Chen, Hsin-Pai Cheng, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Abhinav Goel, Alexander Goncharenko, Xuyang Guo, Soonhoi Ha, Andrew Howard, Xiao Hu, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Jong-gook Ko, Alexander Kondratyev, Junhyeok Lee, Seungjae Lee, Suwoong Lee, Zichao Li, Zhiyu Liang, Juzheng Liu, Xin Liu, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Hong Hanh Nguyen, Eunbyung Park, Denis Repin, Liang Shen, Tao Sheng, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo
2019 J jnl
Low-Power Computer Vision: Status, Challenges, and Opportunities.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Sergei Alyamkin, Matthew Ardi, Alexander C. Berg, Achille Brighton, Bo Chen, Yiran Chen, Hsin-Pai Cheng, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Abhinav Goel, Alexander Goncharenko, Xuyang Guo, Soonhoi Ha, Andrew Howard, Xiao Hu, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Jong-gook Ko, Alexander Kondratyev, Junhyeok Lee, Seungjae Lee, Suwoong Lee, Zichao Li, Zhiyu Liang, Juzheng Liu, Xin Liu, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Hong Hanh Nguyen, Eunbyung Park, Denis Repin, Liang Shen, Tao Sheng, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo
2019 J jnl
MLPerf Inference Benchmark.
CoRR
Vijay Janapa Reddi, Christine Cheng, David Kanter, Peter Mattson, Guenther Schmuelling, Carole-Jean Wu, Brian Anderson, Maximilien Breughe, Mark Charlebois, William Chou, Ramesh Chukka, Cody Coleman, Sam Davis, Pan Deng, Greg Diamos, Jared Duke, Dave Fick, J. Scott Gardner, Itay Hubara, Sachin Idgunji, Thomas B. Jablin, Jeff Jiao, Tom St. John, Pankaj Kanwar, David Lee, Jeffery Liao, Anton Lokhmotov, Francisco Massa, Peng Meng, Paulius Micikevicius, Colin Osborne, Gennady Pekhimenko, Arun Tejusve Raghunath Rajan, Dilip Sequeira, Ashish Sirasao, Fei Sun, Hanlin Tang, Michael Thomson, Frank Wei, Ephrem Wu, Lingjie Xu, Koichi Yamada, Bing Yu, George Yuan, Aaron Zhong, Peizhao Zhang, Yuchen Zhou
2019 A* conf
Machine Learning at Facebook: Understanding Inference at the Edge.
HPCA
Carole-Jean Wu, David Brooks, Kevin Chen, Douglas Chen, Sy Choudhury, Marat Dukhan, Kim M. Hazelwood, Eldad Isaac, Yangqing Jia, Bill Jia, Tommer Leyvand, Hao Lu, Yang Lu, Lin Qiao, Brandon Reagen, Joe Spisak, Fei Sun, Andrew Tulloch, Peter Vajda, Xiaodong Wang, Yanghan Wang, Bram Wasti, Yiming Wu, Ran Xian, Sungjoo Yoo, Peizhao Zhang
2019 — conf
Special Session: 2018 Low-Power Image Recognition Challenge and Beyond.
AICAS
Matthew Ardi, Alexander C. Berg, Bo Chen, Yen-Kuang Chen, Yiran Chen, Donghyun Kang, Junhyeok Lee, Seungjae Lee, Yang Lu, Yung-Hsiang Lu, Fei Sun
2018 J jnl
2018 Low-Power Image Recognition Challenge.
CoRR
Sergei Alyamkin, Matthew Ardi, Achille Brighton, Alexander C. Berg, Yiran Chen, Hsin-Pai Cheng, Bo Chen, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Jongkook Go, Alexander Goncharenko, Xuyang Guo, Hong Hanh Nguyen, Andrew Howard, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Alexander Kondratyev, Seungjae Lee, Suwoong Lee, Junhyeok Lee, Zhiyu Liang, Xin Liu, Juzheng Liu, Zichao Li, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Eunbyung Park, Denis Repin, Tao Sheng, Liang Shen, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo
2018 J jnl
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation.
CoRR
Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Hongxu Yin, Fei Sun, Yanghan Wang, Marat Dukhan, Yunqing Hu, Yiming Wu, Yangqing Jia, Peter Vajda, Matt Uyttendaele, Niraj K. Jha
2018 J jnl
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search.
CoRR
Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer
2012 A conf
Automatic generation of functional models for embedded processor extensions.
DATE
Fei Sun
2007 J jnl
A Synthesis Methodology for Hybrid Custom Instruction and Coprocessor Generation for Extensible Processors.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Fei Sun, Srivaths Ravi, Anand Raghunathan, Niraj K. Jha
2006 J jnl
A Scalable Synthesis Methodology for Application-Specific Processors.
IEEE Trans. Very Large Scale Integr. Syst.
Fei Sun, Srivaths Ravi, Anand Raghunathan, Niraj K. Jha
2006 J jnl
Application-specific heterogeneous multiprocessor synthesis using extensible processors.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Fei Sun, Srivaths Ravi, Anand Raghunathan, Niraj K. Jha
2006 Misc conf
Hybrid Custom Instruction and Co-Processor Synthesis Methodology for Extensible Processors.
VLSI Design
Fei Sun, Srivaths Ravi, Anand Raghunathan, Niraj K. Jha
2005 Misc conf
Synthesis of Application-Specific Heterogeneous Multiprocessor Architectures Using Extensible Processors.
VLSI Design
Fei Sun, Srivaths Ravi, Anand Raghunathan, Niraj K. Jha
2004 J jnl
Custom-instruction synthesis for extensible-processor platforms.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Fei Sun, Srivaths Ravi, Anand Raghunathan, Niraj K. Jha
2003 A conf
A Scalable Application-Specific Processor Synthesis Methodology.
ICCAD
Fei Sun, Srivaths Ravi, Anand Raghunathan, Niraj K. Jha
2002 A conf
Synthesis of custom processors based on extensible platforms.
ICCAD
Fei Sun, Srivaths Ravi, Anand Raghunathan, Niraj K. Jha