Mingzhu Shen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Partial Replication

Forward And Backward

Graph Representation

Top Venues

Publications

Pengtao Chen, Mingzhu Shen, Peng Ye, Jianjian Cao, Chongjun Tu, Christos-Savvas Bouganis, Yiren Zhao, Tao Chen
Δ-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers. CoRR (2024)
Xiangyu Zhao, Zehui Li, Mingzhu Shen, Guy-Bart Stan, Pietro Liò, Yiren Zhao
Enhancing Real-World Complex Network Representations with Hyperedge Augmentation. CoRR (2024)
Zehui Li, Xiangyu Zhao, Mingzhu Shen, Guy-Bart Stan, Pietro Liò, Yiren Zhao
Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs. CoRR (2023)
Bin Huang, Yangguang Li, Enze Xie, Feng Liang, Luya Wang, Mingzhu Shen, Fenggang Liu, Tianqi Wang, Ping Luo, Jing Shao
Fast-BEV: Towards Real-time On-vehicle Bird's-Eye View Perception. CoRR (2023)
Peng Ye, Chenyu Huang, Mingzhu Shen, Tao Chen, Yongqi Huang, Yuning Zhang, Wanli Ouyang
Merging Vision Transformers from Different Tasks and Domains. CoRR (2023)
Yangguang Li, Bin Huang, Zeren Chen, Yufeng Cui, Feng Liang, Mingzhu Shen, Fenggang Liu, Enze Xie, Lu Sheng, Wanli Ouyang, Jing Shao
Fast-BEV: A Fast and Strong Bird's-Eye View Perception Baseline. CoRR (2023)
Hui Liu, Mingzhu Shen, Jiaqi Zhu, Nan Niu, Ge Li, Lu Zhang
Deep Learning Based Program Generation From Requirements Text: Are We There Yet? IEEE Trans. Software Eng. 48 (4) (2022)
Liang Liu, Mingzhu Shen, Ruihao Gong, Fengwei Yu, Hailong Yang
NNLQP: A Multi-Platform Neural Network Latency Query and Prediction System with An Evolving Database. ICPP (2022)
Yuhang Li, Mingzhu Shen, Jian Ma, Yan Ren, Mingxin Zhao, Qi Zhang, Ruihao Gong, Fengwei Yu, Junjie Yan
MQBench: Towards Reproducible and Deployable Model Quantization Benchmark. NeurIPS Datasets and Benchmarks (2021)
Yuhang Li, Mingzhu Shen, Jian Ma, Yan Ren, Mingxin Zhao, Qi Zhang, Ruihao Gong, Fengwei Yu, Junjie Yan
MQBench: Towards Reproducible and Deployable Model Quantization Benchmark. CoRR (2021)
Yuhang Li, Feng Zhu, Ruihao Gong, Mingzhu Shen, Xin Dong, Fengwei Yu, Shaoqing Lu, Shi Gu
MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing. ICCV (2021)
Mingzhu Shen, Feng Liang, Ruihao Gong, Yuhang Li, Chuming Li, Chen Lin, Fengwei Yu, Junjie Yan, Wanli Ouyang
Once Quantization-Aware Training: High Performance Extremely Low-bit Architecture Search. ICCV (2021)
Mingzhu Shen, Xianglong Liu, Ruihao Gong, Kai Han
Balanced Binary Neural Networks with Gated Residual. ICASSP (2020)
Hui Liu, Mingzhu Shen, Jiahao Jin, Yanjie Jiang
Automated classification of actions in bug reports of mobile apps. ISSTA (2020)
Haotong Qin, Ruihao Gong, Xianglong Liu, Mingzhu Shen, Ziran Wei, Fengwei Yu, Jingkuan Song
Forward and Backward Information Retention for Accurate Binary Neural Networks. CVPR (2020)
Yuhang Li, Feng Zhu, Ruihao Gong, Mingzhu Shen, Fengwei Yu, Shaoqing Lu, Shi Gu
Learning in School: Multi-teacher Knowledge Inversion for Data-Free Quantization. CoRR (2020)
Mingzhu Shen, Feng Liang, Chuming Li, Chen Lin, Ming Sun, Junjie Yan, Wanli Ouyang
Once Quantized for All: Progressively Searching for Quantized Efficient Models. CoRR (2020)
Mingzhu Shen, Kai Han, Chunjing Xu, Yunhe Wang
Searching for Accurate Binary Neural Architectures. ICCV Workshops (2019)
Mingzhu Shen, Xianglong Liu, Kai Han, Ruihao Gong, Yunhe Wang, Chang Xu
Balanced Binary Neural Networks with Gated Residual. CoRR (2019)
Mingzhu Shen, Kai Han, Chunjing Xu, Yunhe Wang
Searching for Accurate Binary Neural Architectures. CoRR (2019)