Searching for Accurate Binary Neural Architectures. - Mingzhu Shen; Kai Han 002; Chunjing Xu; Yunhe Wang 001 (ICCV Workshops, 2019)

Balanced Binary Neural Networks with Gated Residual. - Mingzhu Shen; Xianglong Liu 001; Kai Han 002; Ruihao Gong; Yunhe Wang 001; Chang Xu 002 (CoRR, 2019)

Forward and Backward Information Retention for Accurate Binary Neural Networks. - Haotong Qin; Ruihao Gong; Xianglong Liu 001; Mingzhu Shen; Ziran Wei; Fengwei Yu; Jingkuan Song (CVPR, 2020)

Balanced Binary Neural Networks with Gated Residual. - Mingzhu Shen; Xianglong Liu 001; Ruihao Gong; Kai Han 002 (ICASSP, 2020)

Automated classification of actions in bug reports of mobile apps. - Hui Liu 003; Mingzhu Shen; Jiahao Jin; Yanjie Jiang (ISSTA, 2020)

Once Quantized for All: Progressively Searching for Quantized Efficient Models. - Mingzhu Shen; Feng Liang; Chuming Li; Chen Lin 003; Ming Sun 008; Junjie Yan; Wanli Ouyang (CoRR, 2020)

Learning in School: Multi-teacher Knowledge Inversion for Data-Free Quantization. - Yuhang Li 001; Feng Zhu 006; Ruihao Gong; Mingzhu Shen; Fengwei Yu; Shaoqing Lu; Shi Gu (CoRR, 2020)

MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing. - Yuhang Li 001; Feng Zhu 006; Ruihao Gong; Mingzhu Shen; Xin Dong 009; Fengwei Yu; Shaoqing Lu; Shi Gu (ICCV, 2021)

Once Quantization-Aware Training: High Performance Extremely Low-bit Architecture Search. - Mingzhu Shen; Feng Liang; Ruihao Gong; Yuhang Li 001; Chuming Li; Chen Lin 003; Fengwei Yu; Junjie Yan; Wanli Ouyang (ICCV, 2021)

MQBench: Towards Reproducible and Deployable Model Quantization Benchmark. - Yuhang Li 001; Mingzhu Shen; Jian Ma; Yan Ren; Mingxin Zhao; Qi Zhang; Ruihao Gong; Fengwei Yu; Junjie Yan (NeurIPS Datasets and Benchmarks, 2021)

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 (ICPP, 2022)

Deep Learning Based Program Generation From Requirements Text: Are We There Yet? - Hui Liu 003; Mingzhu Shen; Jiaqi Zhu; Nan Niu; Ge Li 001; Lu Zhang 023 (IEEE Trans. Software Eng., 2022)

Fast-BEV: Towards Real-time On-vehicle Bird's-Eye View Perception. - Bin Huang; Yangguang Li 001; Enze Xie; Feng Liang; Luya Wang; Mingzhu Shen; Fenggang Liu; Tianqi Wang; Ping Luo 002; Jing Shao (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)

Merging Vision Transformers from Different Tasks and Domains. - Peng Ye 006; Chenyu Huang; Mingzhu Shen; Tao Chen 003; Yongqi Huang; Yuning Zhang; Wanli Ouyang (CoRR, 2023)

Enhancing Node Representations for Real-World Complex Networks with Topological Augmentation. - Xiangyu Zhao; Zehui Li; Mingzhu Shen; Guy-Bart Stan; Pietro Liò; Yiren Zhao (ECAI, 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)

Δ-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers. - Pengtao Chen; Mingzhu Shen; Peng Ye 006; Jianjian Cao; Chongjun Tu; Christos-Savvas Bouganis; Yiren Zhao; Tao Chen 003 (CoRR, 2024)

Fast-BEV: A Fast and Strong Bird's-Eye View Perception Baseline. - Yangguang Li 001; 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., 2024)

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 001; Xu-Cheng Yin (AAAI, 2025)

Cached Multi-Lora Composition for Multi-Concept Image Generation. - Xiandong Zou; Mingzhu Shen; Christos-Savvas Bouganis; Yiren Zhao (ICLR, 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 002 (CoRR, 2025)

Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers. - Pengtao Chen; Xianfang Zeng; Maosen Zhao; Peng Ye 006; Mingzhu Shen; Wei Cheng; Gang Yu 002; Tao Chen 003 (CoRR, 2025)

Dynamic Model Merging With Mixture of Weights. - Peng Ye 006; Chenyu Huang; Mingzhu Shen; Tao Chen 003; Yongqi Huang; Wanli Ouyang (IEEE Trans. Circuits Syst. Video Technol., 2025)