Seuraa
Mingfu Liang
Mingfu Liang
Meta | Northwestern University
Vahvistettu sähköpostiosoite verkkotunnuksessa u.northwestern.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Instance enhancement batch normalization: An adaptive regulator of batch noise
S Liang, Z Huang, M Liang, H Yang
AAAI Conference on Artificial Intelligence (AAAI) 34 (04), 4819-4827, 2020
712020
Dianet: Dense-and-implicit attention network
Z Huang, S Liang, M Liang, H Yang
AAAI Conference on Artificial Intelligence (AAAI) 34 (04), 4206-4214, 2020
622020
Cap: Context-aware pruning for semantic segmentation
W He, M Wu, M Liang, SK Lam
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 960-969, 2021
452021
Lottery Ticket Hypothesis for Attention Mechanism in Residual Convolutional Neural Network*
Z Huang, S Liang, M Liang, W He, H Yang, L Lin
2024 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2024
23*2024
Understanding Self-attention Mechanism via Dynamical System Perspective
Z Huang*, M Liang*, J Qin, S Zhong, L Lin
IEEE/CVF International Conference on Computer Vision (ICCV), 1412-1422, 2023
212023
Balancing between forgetting and acquisition in incremental subpopulation learning
M Liang, J Zhou, W Wei, Y Wu
European Conference on Computer Vision (ECCV), 364-380, 2022
182022
Blending pruning criteria for convolutional neural networks
W He, Z Huang, M Liang, S Liang, H Yang
Artificial Neural Networks and Machine Learning–ICANN 2021: 30th …, 2021
172021
Exploring Compositional Visual Generation with Latent Classifier Guidance
C Shi, H Ni, K Li, S Han, M Liang, MR Min
IEEE/CVF Conference on Computer Vision and Pattern Recognition, 853-862, 2023
16*2023
TOA: Task-oriented Active VQA
X Xing, M Liang, Y Wu
Neural Information Processing Systems (NeurIPS), 2023, 2023
152023
A generic shared attention mechanism for various backbone neural networks
Z Huang, S Liang, M Liang
Neurocomputing 611, 128697, 2025
12*2025
AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving
M Liang, JC Su, S Schulter, S Garg, S Zhao, Y Wu, M Chandraker
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 14695 …, 2024
102024
Flat Local Minima for Continual Learning on Semantic Segmentation
Z Huang, M Liang, S Liang, S Zhong
International Conference on Multimedia Modeling, 388-400, 2025
7*2025
Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception
L Fan, M Liang, Y Li, G Hua, Y Wu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 16351 …, 2024
62024
AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios
Z Huang, M Liang, S Zhong, L Lin
Forty-first International Conference on Machine Learning (ICML), 2024
6*2024
External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation
M Liang, X Liu, R Jin, B Liu, Q Suo, Q Zhou, S Zhou, L Chen, H Zheng, ...
arXiv preprint arXiv:2502.17494, 2025
2025
The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit
H Zhou, H Gu, X Liu, K Zhou, M Liang, Y Xiao, S Govindan, P Chawla, ...
arXiv preprint arXiv:2501.02173, 2025
2025
DVIB: Towards Robust Multimodal Recommender Systems via Variational Information Bottleneck Distillation
W Zhao, S Zhong, Y Liu, W Wen, J Qin, M Liang, Z Huang
THE WEB CONFERENCE (WWW) 2025, 2025
2025
Accelerating Multimodel Large Language Models by Searching Optimal Vision Token Reduction
S Zhao, Z Wang, F Juefei-Xu, X Xia, M Liu, X Wang, M Liang, N Zhang, ...
arXiv preprint arXiv:2412.00556, 2024
2024
Supplementary of Balancing between Forgetting and Acquisition in Incremental Subpopulation Learning
M Liang, J Zhou, W Wei, Y Wu
https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136860354-supp.pdf, 0
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Artikkelit 1–19