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Mingzhu Shen
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2020 – today
- 2024
- [j2]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. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8665-8679 (2024) - [c9]Xiangyu Zhao, Zehui Li, Mingzhu Shen, Guy-Bart Stan, Pietro Liò, Yiren Zhao:
Enhancing Node Representations for Real-World Complex Networks with Topological Augmentation. ECAI 2024: 1487-1494 - [i11]Xiangyu Zhao, Zehui Li, Mingzhu Shen, Guy-Bart Stan, Pietro Liò, Yiren Zhao:
Enhancing Real-World Complex Network Representations with Hyperedge Augmentation. CoRR abs/2402.13033 (2024) - [i10]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 abs/2406.01125 (2024) - 2023
- [i9]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 abs/2301.07870 (2023) - [i8]Yangguang Li, Bin Huang, Zeren Chen, Yufeng Cui, Feng Liang, Mingzhu Shen, Fenggang Liu, Enze Xie, Lu Sheng
Fast-BEV: A Fast and Strong Bird's-Eye View Perception Baseline. CoRR abs/2301.12511 (2023) - [i7]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 abs/2306.05108 (2023) - [i6]Peng Ye, Chenyu Huang, Mingzhu Shen, Tao Chen, Yongqi Huang, Yuning Zhang, Wanli Ouyang:
Merging Vision Transformers from Different Tasks and Domains. CoRR abs/2312.16240 (2023) - 2022
- [j1]Hui Liu
Deep Learning Based Program Generation From Requirements Text: Are We There Yet? IEEE Trans. Software Eng. 48(4): 1268-1289 (2022) - [c8]Liang Liu, Mingzhu Shen, Ruihao Gong
NNLQP: A Multi-Platform Neural Network Latency Query and Prediction System with An Evolving Database. ICPP 2022: 78:1-78:14 - 2021
- [c7]Yuhang Li, Feng Zhu, Ruihao Gong
MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing. ICCV 2021: 4390-4399 - [c6]Mingzhu Shen, Feng Liang, Ruihao Gong
Once Quantization-Aware Training: High Performance Extremely Low-bit Architecture Search. ICCV 2021: 5320-5329 - [c5]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 - [i5]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 abs/2111.03759 (2021) - 2020
- [c4]Haotong Qin
Forward and Backward Information Retention for Accurate Binary Neural Networks. CVPR 2020: 2247-2256 - [c3]Mingzhu Shen, Xianglong Liu
Balanced Binary Neural Networks with Gated Residual. ICASSP 2020: 4197-4201 - [c2]Hui Liu, Mingzhu Shen, Jiahao Jin, Yanjie Jiang:
Automated classification of actions in bug reports of mobile apps. ISSTA 2020: 128-140 - [i4]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 abs/2010.04354 (2020) - [i3]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 abs/2011.09899 (2020)
2010 – 2019
- 2019
- [c1]Mingzhu Shen, Kai Han, Chunjing Xu, Yunhe Wang:
Searching for Accurate Binary Neural Architectures. ICCV Workshops 2019: 2041-2044 - [i2]Mingzhu Shen, Kai Han, Chunjing Xu, Yunhe Wang:
Searching for Accurate Binary Neural Architectures. CoRR abs/1909.07378 (2019) - [i1]Mingzhu Shen, Xianglong Liu, Kai Han, Ruihao Gong, Yunhe Wang, Chang Xu:
Balanced Binary Neural Networks with Gated Residual. CoRR abs/1909.12117 (2019)
Coauthor Index
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