Mingzhu Shen

According to our database, Mingzhu Shen authored at least 24 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Dynamic Model Merging With Mixture of Weights.

Peng Ye, Chenyu Huang, Mingzhu Shen, Tao Chen, Yongqi Huang, Wanli Ouyang

IEEE Trans. Circuits Syst. Video Technol., August, 2025

Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers.

Pengtao Chen, Xianfang Zeng, Maosen Zhao, Peng Ye, Mingzhu Shen, Wei Cheng, Gang Yu, Tao Chen

CoRR, June, 2025

DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers.

Hanling Zhang, Rundong Su, Zhihang Yuan, Pengtao Chen, Mingzhu Shen, Yibo Fan, Shengen Yan, Guohao Dai, Yu Wang

CoRR, March, 2025

Cached Multi-Lora Composition for Multi-Concept Image Generation.

Xiandong Zou, Mingzhu Shen, Christos-Savvas Bouganis, Yiren Zhao

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints.

Zhiwei Dong, Mingzhu Shen, Shihao Bai, Xiuying Wei, Jinyang Guo, Ruihao Gong, Song-Lu Chen, Xianglong Liu, Xu-Cheng Yin

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Fast-BEV: A Fast and Strong Bird's-Eye View Perception Baseline.

Yangguang Li, Bin Huang, Zeren Chen, Yufeng Cui, Feng Liang, Mingzhu Shen, Fenggang Liu, Enze Xie, Lu Sheng, Wanli Ouyang, Jing Shao

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Δ-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers.

Pengtao Chen, Mingzhu Shen, Peng Ye, Jianjian Cao, Chongjun Tu, Christos-Savvas Bouganis, Yiren Zhao, Tao Chen

CoRR, 2024

Enhancing Real-World Complex Network Representations with Hyperedge Augmentation.

Xiangyu Zhao, Zehui Li, Mingzhu Shen, Guy-Bart Stan, Pietro Liò, Yiren Zhao

CoRR, 2024

Enhancing Node Representations for Real-World Complex Networks with Topological Augmentation.

Xiangyu Zhao, Zehui Li, Mingzhu Shen, Guy-Bart Stan, Pietro Liò, Yiren Zhao

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Merging Vision Transformers from Different Tasks and Domains.

Peng Ye, Chenyu Huang, Mingzhu Shen, Tao Chen, Yongqi Huang, Yuning Zhang, Wanli Ouyang

CoRR, 2023

Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs.

Zehui Li, Xiangyu Zhao, Mingzhu Shen, Guy-Bart Stan, Pietro Liò, Yiren Zhao

CoRR, 2023

Fast-BEV: Towards Real-time On-vehicle Bird's-Eye View Perception.

Bin Huang, Yangguang Li, Enze Xie, Feng Liang, Luya Wang, Mingzhu Shen, Fenggang Liu, Tianqi Wang, Ping Luo, Jing Shao

CoRR, 2023

2022

Deep Learning Based Program Generation From Requirements Text: Are We There Yet?

Hui Liu, Mingzhu Shen, Jiaqi Zhu, Nan Niu, Ge Li, Lu Zhang

IEEE Trans. Software Eng., 2022

NNLQP: A Multi-Platform Neural Network Latency Query and Prediction System with An Evolving Database.

Liang Liu, Mingzhu Shen, Ruihao Gong, Fengwei Yu, Hailong Yang

Proceedings of the 51st International Conference on Parallel Processing, 2022

2021

MQBench: Towards Reproducible and Deployable Model Quantization Benchmark.

Yuhang Li, Mingzhu Shen, Jian Ma, Yan Ren, Mingxin Zhao, Qi Zhang, Ruihao Gong, Fengwei Yu, Junjie Yan

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Once Quantization-Aware Training: High Performance Extremely Low-bit Architecture Search.

Mingzhu Shen, Feng Liang, Ruihao Gong, Yuhang Li, Chuming Li, Chen Lin, Fengwei Yu, Junjie Yan, Wanli Ouyang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing.

Yuhang Li, Feng Zhu, Ruihao Gong, Mingzhu Shen, Xin Dong, Fengwei Yu, Shaoqing Lu, Shi Gu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Learning in School: Multi-teacher Knowledge Inversion for Data-Free Quantization.

Yuhang Li, Feng Zhu, Ruihao Gong, Mingzhu Shen, Fengwei Yu, Shaoqing Lu, Shi Gu

CoRR, 2020

Once Quantized for All: Progressively Searching for Quantized Efficient Models.

Mingzhu Shen, Feng Liang, Chuming Li, Chen Lin, Ming Sun, Junjie Yan, Wanli Ouyang

CoRR, 2020

Automated classification of actions in bug reports of mobile apps.

Hui Liu, Mingzhu Shen, Jiahao Jin, Yanjie Jiang

Proceedings of the ISSTA '20: 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2020

Balanced Binary Neural Networks with Gated Residual.

Mingzhu Shen, Xianglong Liu, Ruihao Gong, Kai Han

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Forward and Backward Information Retention for Accurate Binary Neural Networks.

Haotong Qin, Ruihao Gong, Xianglong Liu, Mingzhu Shen, Ziran Wei, Fengwei Yu, Jingkuan Song

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Balanced Binary Neural Networks with Gated Residual.

Mingzhu Shen, Xianglong Liu, Kai Han, Ruihao Gong, Yunhe Wang, Chang Xu

CoRR, 2019

Searching for Accurate Binary Neural Architectures.

Mingzhu Shen, Kai Han, Chunjing Xu, Yunhe Wang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019