Minghai Qin

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 62

Top Venues

University of California, San Diego, USA (PHD)

Education History

University of California, San Diego, USA

PHD

Publications

Minghai Qin, Chao Sun, Jaco Hofmann, Dejan Vucinic
DISCO: Distributed Inference with Sparse Communications. WACV (2024)
Jiacheng Guo, Huiming Sun, Minghai Qin, Hongkai Yu, Tianyun Zhang
A Min-Max Optimization Framework for Multi-task Deep Neural Network Compression. ISCAS (2024)
Gen Li, Zhihao Shu, Jie Ji, Minghai Qin, Fatemeh Afghah, Wei Niu, Xiaolong Ma
Data Overfitting for On-Device Super-Resolution with Dynamic Algorithm and Compiler Co-Design. CoRR (2024)
Gen Li, Lu Yin, Jie Ji, Wei Niu, Minghai Qin, Bin Ren, Linke Guo, Shiwei Liu, Xiaolong Ma
NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization. ICLR (2024)
Changdi Yang, Pu Zhao, Yanyu Li, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Bin Ren, Xue Lin, Yanzhi Wang
Pruning Parameterization with Bi-level Optimization for Efficient Semantic Segmentation on the Edge. CVPR (2023)
Yanyu Li, Changdi Yang, Pu Zhao, Geng Yuan, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Qing Jin, Bin Ren, Xue Lin, Yanzhi Wang
Towards Real-Time Segmentation on the Edge. AAAI (2023)
Zhenglun Kong, Haoyu Ma, Geng Yuan, Mengshu Sun, Yanyue Xie, Peiyan Dong, Xin Meng, Xuan Shen, Hao Tang, Minghai Qin, Tianlong Chen, Xiaolong Ma, Xiaohui Xie, Zhangyang Wang, Yanzhi Wang
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training. AAAI (2023)
Yifan Gong, Pu Zhao, Zheng Zhan, Yushu Wu, Chao Wu, Zhenglun Kong, Minghai Qin, Caiwen Ding, Yanzhi Wang
Condense: A Framework for Device and Frequency Adaptive Neural Network Models on the Edge. DAC (2023)
Xuan Shen, Zhenglun Kong, Minghai Qin, Peiyan Dong, Geng Yuan, Xin Meng, Hao Tang, Xiaolong Ma, Yanzhi Wang
Data Level Lottery Ticket Hypothesis for Vision Transformers. IJCAI (2023)
Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors. ICLR (2023)
Gen Li, Jie Ji, Minghai Qin, Wei Niu, Bin Ren, Fatemeh Afghah, Linke Guo, Xiaolong Ma
Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting. CoRR (2023)
Sung-En Chang, Geng Yuan, Alec Lu, Mengshu Sun, Yanyu Li, Xiaolong Ma, Zhengang Li, Yanyue Xie, Minghai Qin, Xue Lin, Zhenman Fang, Yanzhi Wang
ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training. DATE (2023)
Minghai Qin, Chao Sun, Jaco Hofmann, Dejan Vucinic
DISCO: Distributed Inference with Sparse Communications. CoRR (2023)
Gen Li, Jie Ji, Minghai Qin, Wei Niu, Bin Ren, Fatemeh Afghah, Linke Guo, Xiaolong Ma
Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting. CVPR (2023)
Zhenzhen Wang, Minghai Qin, Yen-Kuang Chen
Learning from the CNN-based Compressed Domain. WACV (2022)
Zhenglun Kong, Haoyu Ma, Geng Yuan, Mengshu Sun, Yanyue Xie, Peiyan Dong, Xin Meng, Xuan Shen, Hao Tang, Minghai Qin, Tianlong Chen, Xiaolong Ma, Xiaohui Xie, Zhangyang Wang, Yanzhi Wang
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training. CoRR (2022)
Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors. CoRR (2022)
Guyue Huang, Haoran Li, Minghai Qin, Fei Sun, Yufei Ding, Yuan Xie
Shfl-BW: Accelerating Deep Neural Network Inference with Tensor-Core Aware Weight Pruning. CoRR (2022)
Borja Peleato, Rajiv Agarwal, John M. Cioffi, Minghai Qin, Paul H. Siegel
Adaptive Read Thresholds for NAND Flash. CoRR (2022)
Xuan Shen, Zhenglun Kong, Minghai Qin, Peiyan Dong, Geng Yuan, Xin Meng, Hao Tang, Xiaolong Ma, Yanzhi Wang
The Lottery Ticket Hypothesis for Vision Transformers. CoRR (2022)
Xiaolong Ma, Minghai Qin, Fei Sun, Zejiang Hou, Kun Yuan, Yi Xu, Yanzhi Wang, Yen-Kuang Chen, Rong Jin, Yuan Xie
Effective Model Sparsification by Scheduled Grow-and-Prune Methods. ICLR (2022)
Guyue Huang, Haoran Li, Minghai Qin, Fei Sun, Yufei Ding, Yuan Xie
Shfl-BW: accelerating deep neural network inference with tensor-core aware weight pruning. DAC (2022)
Sung-En Chang, Geng Yuan, Alec Lu, Mengshu Sun, Yanyu Li, Xiaolong Ma, Zhengang Li, Yanyue Xie, Minghai Qin, Xue Lin, Zhenman Fang, Yanzhi Wang
Hardware-efficient stochastic rounding unit design for DNN training: late breaking results. DAC (2022)
Yifan Gong, Zheng Zhan, Pu Zhao, Yushu Wu, Chao Wu, Caiwen Ding, Weiwen Jiang, Minghai Qin, Yanzhi Wang
All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management. CoRR (2022)
Zhenglun Kong, Peiyan Dong, Xiaolong Ma, Xin Meng, Wei Niu, Mengshu Sun, Xuan Shen, Geng Yuan, Bin Ren, Hao Tang, Minghai Qin, Yanzhi Wang
SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning. ECCV (11) (2022)
Zejiang Hou, Minghai Qin, Fei Sun, Xiaolong Ma, Kun Yuan, Yi Xu, Yen-Kuang Chen, Rong Jin, Yuan Xie, Sun-Yuan Kung
CHEX: CHannel EXploration for CNN Model Compression. CoRR (2022)
Geng Yuan, Sung-En Chang, Qing Jin, Alec Lu, Yanyu Li, Yushu Wu, Zhenglun Kong, Yanyue Xie, Peiyan Dong, Minghai Qin, Xiaolong Ma, Xulong Tang, Zhenman Fang, Yanzhi Wang
You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding. ECCV (12) (2022)
Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, Bin Ren, Yanzhi Wang
Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution. CoRR (2022)
Yifan Gong, Zheng Zhan, Pu Zhao, Yushu Wu, Chao Wu, Caiwen Ding, Weiwen Jiang, Minghai Qin, Yanzhi Wang
All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management. ICCAD (2022)
Zejiang Hou, Minghai Qin, Fei Sun, Xiaolong Ma, Kun Yuan, Yi Xu, Yen-Kuang Chen, Rong Jin, Yuan Xie, Sun-Yuan Kung
CHEX: CHannel EXploration for CNN Model Compression. CVPR (2022)
Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, Bin Ren, Yanzhi Wang
Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution. ECCV (19) (2022)
Minghai Qin, Tianyun Zhang, Fei Sun, Yen-Kuang Chen, Makan Fardad, Yanzhi Wang, Yuan Xie
Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting. ICTAI (2022)
Geng Yuan, Xiaolong Ma, Wei Niu, Zhengang Li, Zhenglun Kong, Ning Liu, Yifan Gong, Zheng Zhan, Chaoyang He, Qing Jin, Siyue Wang, Minghai Qin, Bin Ren, Yanzhi Wang, Sijia Liu, Xue Lin
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge. NeurIPS (2021)
Xiaolong Ma, Minghai Qin, Fei Sun, Zejiang Hou, Kun Yuan, Yi Xu, Yanzhi Wang, Yen-Kuang Chen, Rong Jin, Yuan Xie
Effective Model Sparsification by Scheduled Grow-and-Prune Methods. CoRR (2021)
Zhenglun Kong, Peiyan Dong, Xiaolong Ma, Xin Meng, Wei Niu, Mengshu Sun, Bin Ren, Minghai Qin, Hao Tang, Yanzhi Wang
SPViT: Enabling Faster Vision Transformers via Soft Token Pruning. CoRR (2021)
Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? NeurIPS (2021)
Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? CoRR (2021)
Minghai Qin, Tianyun Zhang, Fei Sun, Yen-Kuang Chen, Makan Fardad, Yanzhi Wang, Yuan Xie
Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting. CoRR (2021)
Geng Yuan, Xiaolong Ma, Wei Niu, Zhengang Li, Zhenglun Kong, Ning Liu, Yifan Gong, Zheng Zhan, Chaoyang He, Qing Jin, Siyue Wang, Minghai Qin, Bin Ren, Yanzhi Wang, Sijia Liu, Xue Lin
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge. CoRR (2021)
Fei Sun, Minghai Qin, Tianyun Zhang, Xiaolong Ma, Haoran Li, Junwen Luo, Zihao Zhao, Yen-Kuang Chen, Yuan Xie
Load-balanced Gather-scatter Patterns for Sparse Deep Neural Networks. CoRR (2021)
Fei Sun, Minghai Qin, Tianyun Zhang, Liu Liu, Yen-Kuang Chen, Yuan Xie
INVITED: Computation on Sparse Neural Networks and its Implications for Future Hardware. DAC (2020)
Kai Xu, Minghai Qin, Fei Sun, Yuhao Wang, Yen-Kuang Chen, Fengbo Ren
Learning in the Frequency Domain. CVPR (2020)
Tianyun Zhang, Xiaolong Ma, Zheng Zhan, Shanglin Zhou, Minghai Qin, Fei Sun, Yen-Kuang Chen, Caiwen Ding, Makan Fardad, Yanzhi Wang
A Unified DNN Weight Compression Framework Using Reweighted Optimization Methods. CoRR (2020)
Wen Ma, Pi-Feng Chiu, Won Ho Choi, Minghai Qin, Daniel Bedau, Martin Lueker-Boden
Non-Volatile Memory Array Based Quantization- and Noise-Resilient LSTM Neural Networks. CoRR (2020)
Kai Xu, Minghai Qin, Fei Sun, Yuhao Wang, Yen-Kuang Chen, Fengbo Ren
Learning in the Frequency Domain. CoRR (2020)
Fei Sun, Minghai Qin, Tianyun Zhang, Liu Liu, Yen-Kuang Chen, Yuan Xie
Computation on Sparse Neural Networks: an Inspiration for Future Hardware. CoRR (2020)
Wen Ma, Pi-Feng Chiu, Won Ho Choi, Minghai Qin, Daniel Bedau, Martin Lueker-Boden
Non-Volatile Memory Array Based Quantization- and Noise-Resilient LSTM Neural Networks. ICRC (2019)
Minghai Qin, Robert Mateescu, Qingbo Wang, Cyril Guyot, Dejan Vucinic, Zvonimir Bandic
Garbage Collection Algorithms for Meta Data Updates in NAND Flash. ICC (2019)
Pi-Feng Chiu, Won Ho Choi, Wen Ma, Minghai Qin, Martin Lueker-Boden
A Binarized Neural Network Accelerator with Differential Crosspoint Memristor Array for Energy-Efficient MAC Operations. ISCAS (2019)
Minghai Qin, Dejan Vucinic
Training Recurrent Neural Networks against Noisy Computations during Inference. ACSSC (2018)
Minghai Qin
Hamming-Distance-Based Binary Representation of Numbers. ITA (2018)
Bing Fan, Minghai Qin, Paul H. Siegel
Enhancing the Expected Lifetime of NAND Flash by Short q-Ary WOM Codes. IEEE Commun. Lett. 22 (7) (2018)
Minghai Qin, Dejan Vucinic
Noisy Computations during Inference: Harmful or Helpful? CoRR (2018)
Minghai Qin, Dejan Vucinic
Training Recurrent Neural Networks against Noisy Computations during Inference. CoRR (2018)
Wen Ma, Minghai Qin, Won Ho Choi, Pi-Feng Chiu, Martin Lueker-Boden
Improving Noise Tolerance of Hardware Accelerated Artificial Neural Networks. ICMLA (2018)
Minghai Qin
Hamming-Distance-Based Binary Representation of Numbers. ISIT (2018)
Minghai Qin, Chao Sun, Dejan Vucinic
Robustness of Neural Networks against Storage Media Errors. CoRR (2017)
Minghai Qin
Fractional Bits-Per-Cell for NAND Flash with Low Read Latency. GLOBECOM (2017)
Minghai Qin, Robert Mateescu, Chao Sun, Zvonimir Bandic
Low Read Latency Rewriting Codes for Multi-Level 3-D NAND Flash. IEEE Commun. Lett. 21 (7) (2017)
Minghai Qin, Jing Guo, Aman Bhatia, Albert Guillen i Fabregas, Paul H. Siegel
Polar Code Constructions Based on LLR Evolution. IEEE Commun. Lett. 21 (6) (2017)
Ying Wang, Minghai Qin, Krishna R. Narayanan, Anxiao Jiang, Zvonimir Bandic
Joint Source-Channel Decoding of Polar Codes for Language-Based Sources. GLOBECOM (2016)
Ying Wang, Minghai Qin, Krishna R. Narayanan, Anxiao Jiang, Zvonimir Bandic
Joint Source-Channel Decoding of Polar Codes for Language-Based Source. CoRR (2016)
Jing Guo, Jossy Sayir, Minghai Qin, Albert Guillen i Fabregas
An alternative proof of channel polarization for channels with arbitrary input alphabets. Allerton (2015)
Borja Peleato, Rajiv Agarwal, John M. Cioffi, Minghai Qin, Paul H. Siegel
Adaptive Read Thresholds for NAND Flash. IEEE Trans. Commun. 63 (9) (2015)
Minghai Qin, Robert Mateescu, Cyril Guyot, Zvonimir Bandic
Balanced codes for data retention of multi-level flash memories with fast page read. Allerton (2015)
Jing Guo, Minghai Qin, Albert Guillen i Fabregas, Paul H. Siegel
Enhanced belief propagation decoding of polar codes through concatenation. ISIT (2014)
Minghai Qin, Eitan Yaakobi, Paul H. Siegel
Optimized Cell Programming for Flash Memories With Quantizers. IEEE Trans. Inf. Theory 60 (5) (2014)
Minghai Qin, Eitan Yaakobi, Paul H. Siegel
Constrained Codes that Mitigate Inter-Cell Interference in Read/Write Cycles for Flash Memories. IEEE J. Sel. Areas Commun. 32 (5) (2014)
Aman Bhatia, Minghai Qin, Aravind R. Iyengar, Brian M. Kurkoski, Paul H. Siegel
Lattice-Based WOM Codes for Multilevel Flash Memories. IEEE J. Sel. Areas Commun. 32 (5) (2014)
Minghai Qin, Eitan Yaakobi, Paul H. Siegel
Time-Space Constrained Codes for Phase-Change Memories. IEEE Trans. Inf. Theory 59 (8) (2013)
Minghai Qin, Anxiao Andrew Jiang, Paul H. Siegel
Parallel programming of rank modulation. ISIT (2013)
Minghai Qin, Eitan Yaakobi, Paul H. Siegel
Time-Space Constrained Codes for Phase-Change Memories CoRR (2012)
Borja Peleato, Rajiv Agarwal, John M. Cioffi, Minghai Qin, Paul H. Siegel
Towards minimizing read time for NAND flash. GLOBECOM (2012)
Lele Wang, Minghai Qin, Eitan Yaakobi, Young-Han Kim, Paul H. Siegel
WOM with retained messages. ISIT (2012)
Minghai Qin, Eitan Yaakobi, Paul H. Siegel
Optimized cell programming for flash memories with quantizers. ISIT (2012)
Minghai Qin, Eitan Yaakobi, Paul H. Siegel
Time-Space Constrained Codes for Phase-Change Memories. GLOBECOM (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Minghai Qin