Forward and backward information retention for accurate binary neural networks H Qin, R Gong, X Liu, M Shen, Z Wei, F Yu, J Song Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 398 | 2020 |
Searching for accurate binary neural architectures M Shen, K Han, C Xu, Y Wang Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 74 | 2019 |
Fast-BEV: A fast and strong bird's-eye view perception baseline Y Li, B Huang, Z Chen, Y Cui, F Liang, M Shen, F Liu, E Xie, L Sheng, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 68* | 2024 |
MQBench: Towards reproducible and deployable model quantization benchmark Y Li, M Shen, J Ma, Y Ren, M Zhao, Q Zhang, R Gong, F Yu, J Yan arXiv preprint arXiv:2111.03759, 2021 | 56 | 2021 |
Once quantization-aware training: High performance extremely low-bit architecture search M Shen, F Liang, R Gong, Y Li, C Li, C Lin, F Yu, J Yan, W Ouyang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 49* | 2021 |
Balanced binary neural networks with gated residual M Shen, X Liu, R Gong, K Han ICASSP 2020-2020 IEEE international conference on acoustics, speech and …, 2020 | 39 | 2020 |
Mixmix: All you need for data-free compression are feature and data mixing Y Li, F Zhu, R Gong, M Shen, X Dong, F Yu, S Lu, S Gu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 35 | 2021 |
-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers P Chen, M Shen, P Ye, J Cao, C Tu, CS Bouganis, Y Zhao, T Chen arXiv preprint arXiv:2406.01125, 2024 | 21 | 2024 |
Nnlqp: A multi-platform neural network latency query and prediction system with an evolving database L Liu, M Shen, R Gong, F Yu, H Yang Proceedings of the 51st International Conference on Parallel Processing, 1-14, 2022 | 15 | 2022 |
Merging vision transformers from different tasks and domains P Ye, C Huang, M Shen, T Chen, Y Huang, Y Zhang, W Ouyang arXiv preprint arXiv:2312.16240, 2023 | 10 | 2023 |
Dynamic Model Merging with Mixture of Weights P Ye, C Huang, M Shen, T Chen, Y Huang, W Ouyang IEEE Transactions on Circuits and Systems for Video Technology, 2025 | | 2025 |
Cached Multi-Lora Composition for Multi-Concept Image Generation X Zou, M Shen, CS Bouganis, Y Zhao arXiv preprint arXiv:2502.04923, 2025 | | 2025 |
Enhancing Node Representations for Real-World Complex Networks with Topological Augmentation X Zhao, Z Li, M Shen, GB Stan, P Liò, Y Zhao arXiv preprint arXiv:2402.13033, 2024 | | 2024 |
Enhancing Real-World Complex Network Representations with Hyperedge Augmentation X Zhao, Z Li, M Shen, GB Stan, P Liò, Y Zhao arXiv e-prints, arXiv: 2402.13033, 2024 | | 2024 |
Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs Z Li, X Zhao, M Shen, GB Stan, P Liò, Y Zhao arXiv preprint arXiv:2306.05108, 2023 | | 2023 |
-DiT: Accelerating Diffusion Transformers without training via Denoising Property Alignment P Chen, M Shen, P Ye, J Cao, C Tu, CS Bouganis, Y Zhao, T Chen | | |
MD-DiT: Step-aware Mixture-of-Depths for Efficient Diffusion Transformers M Shen, P Chen, P Ye, G Xia, T Chen, CS Bouganis, Y Zhao Adaptive Foundation Models: Evolving AI for Personalized and Efficient Learning, 0 | | |
Semi-HyperGraph Benchmark: Enhancing Flexibility of Hypergraph Learning with Datasets and Benchmarks Z Li, X Zhao, M Shen, GB Stan, P Lio, Y Zhao | | |