Minghai Qin

88 papers A* 19A 4B 10C 3Misc 3Journal 39Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking.
CoRR
Kaiyuan Deng, Bo Hui, Gen Li, Jie Ji, Minghai Qin, Geng Yuan, Xiaolong Ma
2025 J jnl
A min-max optimization framework for sparse multi-task deep neural network.
Neurocomputing
Jiacheng Guo, Lei Li, Huiming Sun, Minghai Qin, Hongkai Yu, Tianyun Zhang
2025 J jnl
A unified DNN weight compression framework using reweighted optimization methods.
Intell. Syst. Appl.
Mengchen Fan, Tianyun Zhang, Xiaolong Ma, Jiacheng Guo, Zheng Zhan, Shanglin Zhou, Minghai Qin, Caiwen Ding, Baocheng Geng, Makan Fardad, Yanzhi Wang
2025 A* conf
An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing.
AAAI
Lei Li, Haochen Yang, Jiacheng Guo, Hongkai Yu, Minghai Qin, Tianyun Zhang
2025 A* conf
DA3D: Domain-Aware Dynamic Adaptation for All-Weather Multimodal 3D Detection.
ACM Multimedia
Haochen Yang, Lei Li, Jiacheng Guo, Baolu Li, Minghai Qin, Hongkai Yu, Tianyun Zhang
2025 Misc conf
Robust Multi-task Adversarial Attacks Using Min-max Optimization.
ICASSP
Jiacheng Guo, Lei Li, Haochen Yang, Baocheng Geng, Hongkai Yu, Minghai Qin, Tianyun Zhang
2025 — conf
Task-Aware Federated Multi-Task Learning.
MMAsia
Lei Li, Haochen Yang, Jiacheng Guo, Hongkai Yu, Minghai Qin, Tianyun Zhang
2024 C conf
A Min-Max Optimization Framework for Multi-task Deep Neural Network Compression.
ISCAS
Jiacheng Guo, Huiming Sun, Minghai Qin, Hongkai Yu, Tianyun Zhang
2024 A* conf
Advancing Dynamic Sparse Training by Exploring Optimization Opportunities.
ICML
Jie Ji, Gen Li, Lu Yin, Minghai Qin, Geng Yuan, Linke Guo, Shiwei Liu, Xiaolong Ma
2024 A conf
DISCO: Distributed Inference with Sparse Communications.
WACV
Minghai Qin, Chao Sun, Jaco Hofmann, Dejan Vucinic
2024 J jnl
Data Overfitting for On-Device Super-Resolution with Dynamic Algorithm and Compiler Co-Design.
CoRR
Gen Li, Zhihao Shu, Jie Ji, Minghai Qin, Fatemeh Afghah, Wei Niu, Xiaolong Ma
2024 — conf
Data Overfitting for On-device Super-Resolution with Dynamic Algorithm and Compiler Co-design.
ECCV (67)
Gen Li, Zhihao Shu, Jie Ji, Minghai Qin, Fatemeh Afghah, Wei Niu, Xiaolong Ma
2024 A* conf
NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization.
ICLR
Gen Li, Lu Yin, Jie Ji, Wei Niu, Minghai Qin, Bin Ren, Linke Guo, Shiwei Liu, Xiaolong Ma
2024 J jnl
Stealthy Multi-Task Adversarial Attacks.
CoRR
Jiacheng Guo, Tianyun Zhang, Lei Li, Haochen Yang, Hongkai Yu, Minghai Qin
2024 J jnl
The Uniqueness of LLaMA3-70B with Per-Channel Quantization: An Empirical Study.
CoRR
Minghai Qin
2023 A* conf
Condense: A Framework for Device and Frequency Adaptive Neural Network Models on the Edge.
DAC
Yifan Gong, Pu Zhao, Zheng Zhan, Yushu Wu, Chao Wu, Zhenglun Kong, Minghai Qin, Caiwen Ding, Yanzhi Wang
2023 J jnl
DISCO: Distributed Inference with Sparse Communications.
CoRR
Minghai Qin, Chao Sun, Jaco Hofmann, Dejan Vucinic
2023 A* conf
Data Level Lottery Ticket Hypothesis for Vision Transformers.
IJCAI
Xuan Shen, Zhenglun Kong, Minghai Qin, Peiyan Dong, Geng Yuan, Xin Meng, Hao Tang, Xiaolong Ma, Yanzhi Wang
2023 A conf
ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training.
DATE
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
2023 A* conf
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training.
AAAI
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
2023 A* conf
Pruning Parameterization with Bi-level Optimization for Efficient Semantic Segmentation on the Edge.
CVPR
Changdi Yang, Pu Zhao, Yanyu Li, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Bin Ren, Xue Lin, Yanzhi Wang
2023 A* conf
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors.
ICLR
Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang
2023 A* conf
Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting.
CVPR
Gen Li, Jie Ji, Minghai Qin, Wei Niu, Bin Ren, Fatemeh Afghah, Linke Guo, Xiaolong Ma
2023 J jnl
Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting.
CoRR
Gen Li, Jie Ji, Minghai Qin, Wei Niu, Bin Ren, Fatemeh Afghah, Linke Guo, Xiaolong Ma
2023 A* conf
Towards Real-Time Segmentation on the Edge.
AAAI
Yanyu Li, Changdi Yang, Pu Zhao, Geng Yuan, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Qing Jin, Bin Ren, Xue Lin, Yanzhi Wang
2022 J jnl
Adaptive Read Thresholds for NAND Flash.
CoRR
Borja Peleato, Rajiv Agarwal, John M. Cioffi, Minghai Qin, Paul H. Siegel
2022 A conf
All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management.
ICCAD
Yifan Gong, Zheng Zhan, Pu Zhao, Yushu Wu, Chao Wu, Caiwen Ding, Weiwen Jiang, Minghai Qin, Yanzhi Wang
2022 J jnl
All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management.
CoRR
Yifan Gong, Zheng Zhan, Pu Zhao, Yushu Wu, Chao Wu, Caiwen Ding, Weiwen Jiang, Minghai Qin, Yanzhi Wang
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 — conf
Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution.
ECCV (19)
Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, Bin Ren, Yanzhi Wang
2022 J jnl
Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution.
CoRR
Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, Bin Ren, Yanzhi Wang
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 A* conf
Hardware-efficient stochastic rounding unit design for DNN training: late breaking results.
DAC
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
2022 A conf
Learning from the CNN-based Compressed Domain.
WACV
Zhenzhen Wang, Minghai Qin, Yen-Kuang Chen
2022 J jnl
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training.
CoRR
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
2022 — conf
SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning.
ECCV (11)
Zhenglun Kong, Peiyan Dong, Xiaolong Ma, Xin Meng, Wei Niu, Mengshu Sun, Xuan Shen, Geng Yuan, Bin Ren, Hao Tang, Minghai Qin, Yanzhi Wang
2022 J jnl
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors.
CoRR
Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang
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
2022 J jnl
The Lottery Ticket Hypothesis for Vision Transformers.
CoRR
Xuan Shen, Zhenglun Kong, Minghai Qin, Peiyan Dong, Geng Yuan, Xin Meng, Hao Tang, Xiaolong Ma, Yanzhi Wang
2022 — conf
You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding.
ECCV (12)
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
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
2021 A* conf
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge.
NeurIPS
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
2021 J jnl
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge.
CoRR
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
2021 J jnl
SPViT: Enabling Faster Vision Transformers via Soft Token Pruning.
CoRR
Zhenglun Kong, Peiyan Dong, Xiaolong Ma, Xin Meng, Wei Niu, Mengshu Sun, Bin Ren, Minghai Qin, Hao Tang, Yanzhi Wang
2021 A* conf
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?
NeurIPS
Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang
2021 J jnl
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?
CoRR
Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang
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 J jnl
Non-Volatile Memory Array Based Quantization- and Noise-Resilient LSTM Neural Networks.
CoRR
Wen Ma, Pi-Feng Chiu, Won Ho Choi, Minghai Qin, Daniel Bedau, Martin Lueker-Boden
2019 C conf
A Binarized Neural Network Accelerator with Differential Crosspoint Memristor Array for Energy-Efficient MAC Operations.
ISCAS
Pi-Feng Chiu, Won Ho Choi, Wen Ma, Minghai Qin, Martin Lueker-Boden
2019 — conf
Garbage Collection Algorithms for Meta Data Updates in NAND Flash.
ICC
Minghai Qin, Robert Mateescu, Qingbo Wang, Cyril Guyot, Dejan Vucinic, Zvonimir Bandic
2019 — conf
Non-Volatile Memory Array Based Quantization- and Noise-Resilient LSTM Neural Networks.
ICRC
Wen Ma, Pi-Feng Chiu, Won Ho Choi, Minghai Qin, Daniel Bedau, Martin Lueker-Boden
2018 J jnl
Enhancing the Expected Lifetime of NAND Flash by Short q-Ary WOM Codes.
IEEE Commun. Lett.
Bing Fan, Minghai Qin, Paul H. Siegel
2018 B conf
Hamming-Distance-Based Binary Representation of Numbers.
ISIT
Minghai Qin
2018 Misc conf
Hamming-Distance-Based Binary Representation of Numbers.
ITA
Minghai Qin
2018 C conf
Improving Noise Tolerance of Hardware Accelerated Artificial Neural Networks.
ICMLA
Wen Ma, Minghai Qin, Won Ho Choi, Pi-Feng Chiu, Martin Lueker-Boden
2018 J jnl
Noisy Computations during Inference: Harmful or Helpful?
CoRR
Minghai Qin, Dejan Vucinic
2018 Misc conf
Training Recurrent Neural Networks against Noisy Computations during Inference.
ACSSC
Minghai Qin, Dejan Vucinic
2018 J jnl
Training Recurrent Neural Networks against Noisy Computations during Inference.
CoRR
Minghai Qin, Dejan Vucinic
2017 B conf
Fractional Bits-Per-Cell for NAND Flash with Low Read Latency.
GLOBECOM
Minghai Qin
2017 J jnl
Low Read Latency Rewriting Codes for Multi-Level 3-D NAND Flash.
IEEE Commun. Lett.
Minghai Qin, Robert Mateescu, Chao Sun, Zvonimir Bandic
2017 J jnl
Polar Code Constructions Based on LLR Evolution.
IEEE Commun. Lett.
Minghai Qin, Jing Guo, Aman Bhatia, Albert Guillen i Fabregas, Paul H. Siegel
2017 J jnl
Robustness of Neural Networks against Storage Media Errors.
CoRR
Minghai Qin, Chao Sun, Dejan Vucinic
2016 J jnl
Joint Source-Channel Decoding of Polar Codes for Language-Based Source.
CoRR
Ying Wang, Minghai Qin, Krishna R. Narayanan, Anxiao Jiang, Zvonimir Bandic
2016 B conf
Joint Source-Channel Decoding of Polar Codes for Language-Based Sources.
GLOBECOM
Ying Wang, Minghai Qin, Krishna R. Narayanan, Anxiao Jiang, Zvonimir Bandic
2015 J jnl
Adaptive Read Thresholds for NAND Flash.
IEEE Trans. Commun.
Borja Peleato, Rajiv Agarwal, John M. Cioffi, Minghai Qin, Paul H. Siegel
2015 — conf
An alternative proof of channel polarization for channels with arbitrary input alphabets.
Allerton
Jing Guo, Jossy Sayir, Minghai Qin, Albert Guillen i Fabregas
2015 — conf
Balanced codes for data retention of multi-level flash memories with fast page read.
Allerton
Minghai Qin, Robert Mateescu, Cyril Guyot, Zvonimir Bandic
2014 — —
Constrained Codes and Signal Processing for Non-Volatile Memories.
Minghai Qin
2014 J jnl
Constrained Codes that Mitigate Inter-Cell Interference in Read/Write Cycles for Flash Memories.
IEEE J. Sel. Areas Commun.
Minghai Qin, Eitan Yaakobi, Paul H. Siegel
2014 B conf
Enhanced belief propagation decoding of polar codes through concatenation.
ISIT
Jing Guo, Minghai Qin, Albert Guillen i Fabregas, Paul H. Siegel
2014 J jnl
Lattice-Based WOM Codes for Multilevel Flash Memories.
IEEE J. Sel. Areas Commun.
Aman Bhatia, Minghai Qin, Aravind R. Iyengar, Brian M. Kurkoski, Paul H. Siegel
2014 J jnl
Optimized Cell Programming for Flash Memories With Quantizers.
IEEE Trans. Inf. Theory
Minghai Qin, Eitan Yaakobi, Paul H. Siegel
2013 B conf
Parallel programming of rank modulation.
ISIT
Minghai Qin, Anxiao Andrew Jiang, Paul H. Siegel
2013 J jnl
Time-Space Constrained Codes for Phase-Change Memories.
IEEE Trans. Inf. Theory
Minghai Qin, Eitan Yaakobi, Paul H. Siegel
2012 B conf
Optimized cell programming for flash memories with quantizers.
ISIT
Minghai Qin, Eitan Yaakobi, Paul H. Siegel
2012 J jnl
Time-Space Constrained Codes for Phase-Change Memories
CoRR
Minghai Qin, Eitan Yaakobi, Paul H. Siegel
2012 B conf
Towards minimizing read time for NAND flash.
GLOBECOM
Borja Peleato, Rajiv Agarwal, John M. Cioffi, Minghai Qin, Paul H. Siegel
2012 B conf
WOM with retained messages.
ISIT
Lele Wang, Minghai Qin, Eitan Yaakobi, Young-Han Kim, Paul H. Siegel
2011 B conf
Time-Space Constrained Codes for Phase-Change Memories.
GLOBECOM
Minghai Qin, Eitan Yaakobi, Paul H. Siegel