Mingzhu Shen - RankMe

30 papers A* 6A 2B 1Misc 1Journal 18Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers. AAAI Pengtao Chen, Xianfang Zeng, Maosen Zhao, Mingzhu Shen, Wei Cheng, Gang Yu, Tao Chen
2025	A*	`conf`	AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints. AAAI Zhiwei Dong, Mingzhu Shen, Shihao Bai, Xiuying Wei, Jinyang Guo, Ruihao Gong, Song-Lu Chen, Xianglong Liu, Xu-Cheng Yin
2025	A*	`conf`	Cached Multi-Lora Composition for Multi-Concept Image Generation. ICLR Xiandong Zou, Mingzhu Shen, Christos-Savvas Bouganis, Yiren Zhao
2025	J	`jnl`	Cached Multi-Lora Composition for Multi-Concept Image Generation. CoRR Xiandong Zou, Mingzhu Shen, Christos-Savvas Bouganis, Yiren Zhao
2025	J	`jnl`	DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers. CoRR Hanling Zhang, Rundong Su, Zhihang Yuan, Pengtao Chen, Mingzhu Shen, Yibo Fan, Shengen Yan, Guohao Dai, Yu Wang
2025	J	`jnl`	Dynamic Model Merging With Mixture of Weights. IEEE Trans. Circuits Syst. Video Technol. Peng Ye, Chenyu Huang, Mingzhu Shen, Tao Chen, Yongqi Huang, Wanli Ouyang
2025	J	`jnl`	RegionE: Adaptive Region-Aware Generation for Efficient Image Editing. CoRR Pengtao Chen, Xianfang Zeng, Maosen Zhao, Mingzhu Shen, Peng Ye, Bangyin Xiang, Zhibo Wang, Wei Cheng, Gang Yu, Tao Chen
2025	J	`jnl`	Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers. CoRR Pengtao Chen, Xianfang Zeng, Maosen Zhao, Peng Ye, Mingzhu Shen, Wei Cheng, Gang Yu, Tao Chen
2024	A	`conf`	Enhancing Node Representations for Real-World Complex Networks with Topological Augmentation. ECAI Xiangyu Zhao, Zehui Li, Mingzhu Shen, Guy-Bart Stan, Pietro Liò, Yiren Zhao
2024	J	`jnl`	Enhancing Real-World Complex Network Representations with Hyperedge Augmentation. CoRR Xiangyu Zhao, Zehui Li, Mingzhu Shen, Guy-Bart Stan, Pietro Liò, Yiren Zhao
2024	J	`jnl`	Fast-BEV: A Fast and Strong Bird's-Eye View Perception Baseline. IEEE Trans. Pattern Anal. Mach. Intell. Yangguang Li, Bin Huang, Zeren Chen, Yufeng Cui, Feng Liang, Mingzhu Shen, Fenggang Liu, Enze Xie, Lu Sheng, Wanli Ouyang, Jing Shao
2024	J	`jnl`	Δ-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers. CoRR Pengtao Chen, Mingzhu Shen, Peng Ye, Jianjian Cao, Chongjun Tu, Christos-Savvas Bouganis, Yiren Zhao, Tao Chen
2023	J	`jnl`	Fast-BEV: A Fast and Strong Bird's-Eye View Perception Baseline. CoRR Yangguang Li, Bin Huang, Zeren Chen, Yufeng Cui, Feng Liang, Mingzhu Shen, Fenggang Liu, Enze Xie, Lu Sheng, Wanli Ouyang, Jing Shao
2023	J	`jnl`	Fast-BEV: Towards Real-time On-vehicle Bird's-Eye View Perception. CoRR Bin Huang, Yangguang Li, Enze Xie, Feng Liang, Luya Wang, Mingzhu Shen, Fenggang Liu, Tianqi Wang, Ping Luo, Jing Shao
2023	J	`jnl`	Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs. CoRR Zehui Li, Xiangyu Zhao, Mingzhu Shen, Guy-Bart Stan, Pietro Liò, Yiren Zhao
2023	J	`jnl`	Merging Vision Transformers from Different Tasks and Domains. CoRR Peng Ye, Chenyu Huang, Mingzhu Shen, Tao Chen, Yongqi Huang, Yuning Zhang, Wanli Ouyang
2022	J	`jnl`	Deep Learning Based Program Generation From Requirements Text: Are We There Yet? IEEE Trans. Software Eng. Hui Liu, Mingzhu Shen, Jiaqi Zhu, Nan Niu, Ge Li, Lu Zhang
2022	B	`conf`	NNLQP: A Multi-Platform Neural Network Latency Query and Prediction System with An Evolving Database. ICPP Liang Liu, Mingzhu Shen, Ruihao Gong, Fengwei Yu, Hailong Yang
2021	—	`conf`	MQBench: Towards Reproducible and Deployable Model Quantization Benchmark. NeurIPS Datasets and Benchmarks Yuhang Li, Mingzhu Shen, Jian Ma, Yan Ren, Mingxin Zhao, Qi Zhang, Ruihao Gong, Fengwei Yu, Junjie Yan
2021	J	`jnl`	MQBench: Towards Reproducible and Deployable Model Quantization Benchmark. CoRR Yuhang Li, Mingzhu Shen, Jian Ma, Yan Ren, Mingxin Zhao, Qi Zhang, Ruihao Gong, Fengwei Yu, Junjie Yan
2021	A*	`conf`	MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing. ICCV Yuhang Li, Feng Zhu, Ruihao Gong, Mingzhu Shen, Xin Dong, Fengwei Yu, Shaoqing Lu, Shi Gu
2021	A*	`conf`	Once Quantization-Aware Training: High Performance Extremely Low-bit Architecture Search. ICCV Mingzhu Shen, Feng Liang, Ruihao Gong, Yuhang Li, Chuming Li, Chen Lin, Fengwei Yu, Junjie Yan, Wanli Ouyang
2020	A	`conf`	Automated classification of actions in bug reports of mobile apps. ISSTA Hui Liu, Mingzhu Shen, Jiahao Jin, Yanjie Jiang
2020	Misc	`conf`	Balanced Binary Neural Networks with Gated Residual. ICASSP Mingzhu Shen, Xianglong Liu, Ruihao Gong, Kai Han
2020	A*	`conf`	Forward and Backward Information Retention for Accurate Binary Neural Networks. CVPR Haotong Qin, Ruihao Gong, Xianglong Liu, Mingzhu Shen, Ziran Wei, Fengwei Yu, Jingkuan Song
2020	J	`jnl`	Learning in School: Multi-teacher Knowledge Inversion for Data-Free Quantization. CoRR Yuhang Li, Feng Zhu, Ruihao Gong, Mingzhu Shen, Fengwei Yu, Shaoqing Lu, Shi Gu
2020	J	`jnl`	Once Quantized for All: Progressively Searching for Quantized Efficient Models. CoRR Mingzhu Shen, Feng Liang, Chuming Li, Chen Lin, Ming Sun, Junjie Yan, Wanli Ouyang
2019	J	`jnl`	Balanced Binary Neural Networks with Gated Residual. CoRR Mingzhu Shen, Xianglong Liu, Kai Han, Ruihao Gong, Yunhe Wang, Chang Xu
2019	—	`conf`	Searching for Accurate Binary Neural Architectures. ICCV Workshops Mingzhu Shen, Kai Han, Chunjing Xu, Yunhe Wang
2019	J	`jnl`	Searching for Accurate Binary Neural Architectures. CoRR Mingzhu Shen, Kai Han, Chunjing Xu, Yunhe Wang