Minghai Qin

Orcid: 0000-0001-5172-5309

According to our database1, Minghai Qin authored at least 54 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
DISCO: Distributed Inference with Sparse Communications.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Data Level Lottery Ticket Hypothesis for Vision Transformers.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Condense: A Framework for Device and Frequency Adaptive Neural Network Models on the Edge.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Pruning Parameterization with Bi-level Optimization for Efficient Semantic Segmentation on the Edge.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Towards Real-Time Segmentation on the Edge.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
The Lottery Ticket Hypothesis for Vision Transformers.
CoRR, 2022

Learning from the CNN-based Compressed Domain.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Effective Model Sparsification by Scheduled Grow-and-Prune Methods.
Proceedings of the Tenth International Conference on Learning Representations, 2022

All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management.
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding.
Proceedings of the Computer Vision - ECCV 2022, 2022

Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution.
Proceedings of the Computer Vision - ECCV 2022, 2022

SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Shfl-BW: accelerating deep neural network inference with tensor-core aware weight pruning.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Hardware-efficient stochastic rounding unit design for DNN training: late breaking results.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

CHEX: CHannel EXploration for CNN Model Compression.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
SPViT: Enabling Faster Vision Transformers via Soft Token Pruning.
CoRR, 2021

Load-balanced Gather-scatter Patterns for Sparse Deep Neural Networks.
CoRR, 2021

MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Computation on Sparse Neural Networks: an Inspiration for Future Hardware.
CoRR, 2020

A Unified DNN Weight Compression Framework Using Reweighted Optimization Methods.
CoRR, 2020

INVITED: Computation on Sparse Neural Networks and its Implications for Future Hardware.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Learning in the Frequency Domain.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
A Binarized Neural Network Accelerator with Differential Crosspoint Memristor Array for Energy-Efficient MAC Operations.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Non-Volatile Memory Array Based Quantization- and Noise-Resilient LSTM Neural Networks.
Proceedings of the 2019 IEEE International Conference on Rebooting Computing, 2019

Garbage Collection Algorithms for Meta Data Updates in NAND Flash.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018
Enhancing the Expected Lifetime of NAND Flash by Short q-Ary WOM Codes.
IEEE Commun. Lett., 2018

Noisy Computations during Inference: Harmful or Helpful?
CoRR, 2018

Hamming-Distance-Based Binary Representation of Numbers.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Improving Noise Tolerance of Hardware Accelerated Artificial Neural Networks.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Training Recurrent Neural Networks against Noisy Computations during Inference.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Low Read Latency Rewriting Codes for Multi-Level 3-D NAND Flash.
IEEE Commun. Lett., 2017

Polar Code Constructions Based on LLR Evolution.
IEEE Commun. Lett., 2017

Robustness of Neural Networks against Storage Media Errors.
CoRR, 2017

Fractional Bits-Per-Cell for NAND Flash with Low Read Latency.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016
Joint Source-Channel Decoding of Polar Codes for Language-Based Source.
CoRR, 2016

Joint Source-Channel Decoding of Polar Codes for Language-Based Sources.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

2015
Adaptive Read Thresholds for NAND Flash.
IEEE Trans. Commun., 2015

Balanced codes for data retention of multi-level flash memories with fast page read.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

An alternative proof of channel polarization for channels with arbitrary input alphabets.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014
Constrained Codes and Signal Processing for Non-Volatile Memories.
PhD thesis, 2014

Optimized Cell Programming for Flash Memories With Quantizers.
IEEE Trans. Inf. Theory, 2014

Constrained Codes that Mitigate Inter-Cell Interference in Read/Write Cycles for Flash Memories.
IEEE J. Sel. Areas Commun., 2014

Lattice-Based WOM Codes for Multilevel Flash Memories.
IEEE J. Sel. Areas Commun., 2014

Enhanced belief propagation decoding of polar codes through concatenation.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2013
Time-Space Constrained Codes for Phase-Change Memories.
IEEE Trans. Inf. Theory, 2013

Parallel programming of rank modulation.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

2012
WOM with retained messages.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Towards minimizing read time for NAND flash.
Proceedings of the 2012 IEEE Global Communications Conference, 2012


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