Mingfu Liang

According to our database, Mingfu Liang authored at least 20 papers between 2020 and 2025.

Collaborative distances:

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

2025

A generic shared attention mechanism for various backbone neural networks.

Zhongzhan Huang, Senwei Liang, Mingfu Liang

Neurocomputing, 2025

Flat Local Minima for Continual Learning on Semantic Segmentation.

Zhongzhan Huang, Mingfu Liang, Senwei Liang, Shanshan Zhong

Proceedings of the MultiMedia Modeling, 2025

2024

Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction.

Shiyu Zhao, Zhenting Wang, Felix Juefei-Xu, Xide Xia, Miao Liu, Xiaofang Wang, Mingfu Liang, Ning Zhang, Dimitris N. Metaxas, Licheng Yu

CoRR, 2024

AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios.

Zhongzhan Huang, Mingfu Liang, Shanshan Zhong, Liang Lin

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Lottery Ticket Hypothesis for Attention Mechanism in Residual Convolutional Neural Network^*.

Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang, Liang Lin

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving.

Mingfu Liang, Jong-Chyi Su, Samuel Schulter, Sparsh Garg, Shiyu Zhao, Ying Wu, Manmohan Chandraker

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception.

Lei Fan, Mingfu Liang, Yunxuan Li, Gang Hua, Ying Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

On Robust Numerical Solver for ODE via Self-Attention Mechanism.

Zhongzhan Huang, Mingfu Liang, Liang Lin

CoRR, 2023

TOA: Task-oriented Active VQA.

Xiaoying Xing, Mingfu Liang, Ying Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Understanding Self-attention Mechanism via Dynamical System Perspective.

Zhongzhan Huang, Mingfu Liang, Jinghui Qin, Shanshan Zhong, Liang Lin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Exploring Compositional Visual Generation with Latent Classifier Guidance.

Changhao Shi, Haomiao Ni, Kai Li, Shaobo Han, Mingfu Liang, Martin Renqiang Min

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Layer-wise Shared Attention Network on Dynamical System Perspective.

Zhongzhan Huang, Senwei Liang, Mingfu Liang, Weiling He, Liang Lin

CoRR, 2022

The Lottery Ticket Hypothesis for Self-attention in Convolutional Neural Network.

Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang, Liang Lin

CoRR, 2022

Balancing Between Forgetting and Acquisition in Incremental Subpopulation Learning.

Mingfu Liang, Jiahuan Zhou, Wei Wei, Ying Wu

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

AlterSGD: Finding Flat Minima for Continual Learning by Alternative Training.

Zhongzhan Huang, Mingfu Liang, Senwei Liang, Wei He

CoRR, 2021

CAP: Context-Aware Pruning for Semantic Segmentation.

Wei He, Meiqing Wu, Mingfu Liang, Siew-Kei Lam

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Blending Pruning Criteria for Convolutional Neural Networks.

Wei He, Zhongzhan Huang, Mingfu Liang, Senwei Liang, Haizhao Yang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

Efficient Attention Network: Accelerate Attention by Searching Where to Plug.

Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang

CoRR, 2020

Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise.

Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

DIANet: Dense-and-Implicit Attention Network.

Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020