Mingfu Liang

According to our database, Mingfu Liang authored at least 29 papers between 2020 and 2025.

Collaborative distances:

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

2025

AutoScape: Geometry-Consistent Long-Horizon Scene Generation.

Jiacheng Chen, Ziyu Jiang, Mingfu Liang, Bingbing Zhuang, Jong-Chyi Su, Sparsh Garg, Ying Wu, Manmohan Chandraker

CoRR, October, 2025

AssoCiAm: A Benchmark for Evaluating Association Thinking while Circumventing Ambiguity.

Yifan Liu, Wenkuan Zhao, Shanshan Zhong, Jinghui Qin, Mingfu Liang, Zhongzhan Huang, Wushao Wen

CoRR, September, 2025

WHEN TO ACT, WHEN TO WAIT: Modeling Structural Trajectories for Intent Triggerability in Task-Oriented Dialogue.

Yaoyao Qian, Jindan Huang, Yuanli Wang, Simon Yu, Kyrie Zhixuan Zhou, Jiayuan Mao, Mingfu Liang, Hanhan Zhou

CoRR, June, 2025

External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation.

Mingfu Liang, Xi Liu, Rong Jin, Boyang Liu, Qiuling Suo, Qinghai Zhou, Song Zhou, Laming Chen, Hua Zheng, Zhiyuan Li, Shali Jiang, Jiyan Yang, Xiaozhen Xia, Fan Yang, Yasmine Badr, Ellie Wen, Shuyu Xu, Hansey Chen, Zhengyu Zhang, Jade Nie, Chunzhi Yang, Zhichen Zeng, Weilin Zhang, Xingliang Huang, Qianru Li, Shiquan Wang, Evelyn Lyu, Wenjing Lu, Rui Zhang, Wenjun Wang, Jason Rudy, Mengyue Hang, Kai Wang, Yinbin Ma, Shuaiwen Wang, Sihan Zeng, Tongyi Tang, Xiaohan Wei, Longhao Jin, Jamey Zhang, Marcus Chen, Jiayi Zhang, Angie Huang, Chi Zhang, Zhengli Zhao, Jared Yang, Qiang Jin, Xian Chen, Amit Anand Amlesahwaram, Lexi Song, Liang Luo, Yuchen Hao, Nan Xiao, Yavuz Yetim, Luoshang Pan, Gaoxiang Liu, Yuxi Hu, Yuzhen Huang, Jackie Xu, Rich Zhu, Xin Zhang, Yiqun Liu, Hang Yin, Yuxin Chen, Buyun Zhang, Xiaoyi Liu, Xingyuan Wang, Wenguang Mao, Zhijing Li, Qin Huang, Chonglin Sun, Shupin Mao, Benjamin Au, Jingzheng Qin, Peggy Yao, Jae-Woo Choi, Bin Gao, Ernest Wang, Lei Zhang, Wen-Yen Chen, Ted Lee, Jay Zha, Yi Meng, Alex Gong, Edison Gao, Alireza Vahdatpour, Yiping Han, Yantao Yao, Toshinari Kureha, Shuo Chang, Musharaf Sultan, John Bocharov, Sagar Chordia, Xiaorui Gan, Peng Sun, Rocky Liu, Bo Long, Wenlin Chen, Santanu Kolay, Huayu Li

CoRR, February, 2025

The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit.

Huixue Zhou, Hengrui Gu, Xi Liu, Kaixiong Zhou, Mingfu Liang, Yongkang Xiao, Srinivas Govindan, Piyush Chawla, Jiyan Yang, Xiangfei Meng, Huayu Li, Buyun Zhang, Liang Luo, Wen-Yen Chen, Yiping Han, Bo Long, Rui Zhang, Tianlong Chen

CoRR, January, 2025

A generic shared attention mechanism for various backbone neural networks.

Zhongzhan Huang, Senwei Liang, Mingfu Liang

Neurocomputing, 2025

DVIB: Towards Robust Multimodal Recommender Systems via Variational Information Bottleneck Distillation.

Wenkuan Zhao, Shanshan Zhong, Yifan Liu, Wushao Wen, Jinghui Qin, Mingfu Liang, Zhongzhan Huang

Proceedings of the ACM on Web Conference 2025, 2025

External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation.

Mingfu Liang, Xi Liu, Rong Jin, Boyang Liu, Qiuling Suo, Qinghai Zhou, Song Zhou, Laming Chen, Hua Zheng, Zhiyuan Li, Shali Jiang, Jiyan Yang, Xiaozhen Xia, Fan Yang, Yasmine Badr, Ellie Wen, Shuyu Xu, Hansey Chen, Zhengyu Zhang, Jade Nie, Chunzhi Yang, Zhichen Zeng, Weilin Zhang, Xingliang Huang, Qianru Li, Shiquan Wang, Evelyn Lyu, Wenjing Lu, Rui Zhang, Wenjun Wang, Jason Rudy, Mengyue Hang, Kai Wang, Bo Long, Wenlin Chen, Santanu Kolay, Huayu Li

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Flat Local Minima for Continual Learning on Semantic Segmentation.

Zhongzhan Huang, Mingfu Liang, Senwei Liang, Shanshan Zhong

Proceedings of the MultiMedia Modeling, 2025

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Incremental Object Keypoint Learning.

Mingfu Liang, Jiahuan Zhou, Xu Zou, Ying Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit.

Huixue Zhou, Hengrui Gu, Zaifu Zhan, Xi Liu, Kaixiong Zhou, Yongkang Xiao, Mingfu Liang, Srinivas Prasad Govindan, Piyush Chawla, Jiyan Yang, Xiangfei Meng, Huayu Li, Buyun Zhang, Liang Luo, Wen-Yen Chen, Yiping Han, Bo Long, Rui Zhang, Tianlong Chen

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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