Yaohua Liu

According to our database, Yaohua Liu authored at least 36 papers between 2016 and 2024.

Collaborative distances:

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

2024

Collaborative brightening and amplification of low-light imagery via bi-level adversarial learning.

Jiaxin Gao, Yaohua Liu, Ziyu Yue, Xin Fan, Risheng Liu

Pattern Recognit., 2024

A Prompt-driven Task Planning Method for Multi-drones based on Large Language Model.

Yaohua Liu

CoRR, 2024

Enhancing Images with Coupled Low-Resolution and Ultra-Dark Degradations: A Tri-level Learning Framework.

Jiaxin Gao, Yaohua Liu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation.

Yaohua Liu, Jiaxin Gao, Xuan Liu, Xianghao Jiao, Xin Fan, Risheng Liu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

3D interest point detection using balance-distortion oriented selection.

Yu Jiang, Xiang Li, Yaohua Liu, Wei Wang, Jinsong Du

Vis. Comput., February, 2023

Learn from the Past: A Proxy based Adversarial Defense Framework to Boost Robustness.

Yaohua Liu, Jiaxin Gao, Zhu Liu, Xianghao Jiao, Xin Fan, Risheng Liu

CoRR, 2023

Diving into Darkness: A Dual-Modulated Framework for High-Fidelity Super-Resolution in Ultra-Dark Environments.

Jiaxin Gao, Ziyu Yue, Yaohua Liu, Sihan Xie, Xin Fan, Risheng Liu

CoRR, 2023

Fuse Tune: Hierarchical Decoder Towards Efficient Transfer Learning.

Jianwen Cao, Tianhao Gong, Yaohua Liu

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

PEARL: Preprocessing Enhanced Adversarial Robust Learning of Image Deraining for Semantic Segmentation.

Xianghao Jiao, Yaohua Liu, Jiaxin Gao, Xinyuan Chu, Xin Fan, Risheng Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity.

Risheng Liu, Yaohua Liu, Wei Yao, Shangzhi Zeng, Jin Zhang

Proceedings of the International Conference on Machine Learning, 2023

Motion-Scenario Decoupling for Rat-Aware Video Position Prediction: Strategy and Benchmark.

Xiaofeng Liu, Jiaxin Gao, Yaohua Liu, Nenggan Zheng, Risheng Liu

Proceedings of the Image and Graphics - 12th International Conference, 2023

2022

A hybrid learning-based stochastic noise eliminating method with attention-Conv-LSTM network for low-cost MEMS gyroscope.

Yaohua Liu, Jinqiang Cui, Wei Liang

Frontiers Neurorobotics, September, 2022

Byzantine-Resilient Resource Allocation Over Decentralized Networks.

Runhua Wang, Yaohua Liu, Qing Ling

IEEE Trans. Signal Process., 2022

DQC-ADMM: Decentralized Dynamic ADMM With Quantized and Censored Communications.

Yaohua Liu, Gang Wu, Zhi Tian, Qing Ling

IEEE Trans. Neural Networks Learn. Syst., 2022

Triple-Level Model Inferred Collaborative Network Architecture for Video Deraining.

Pan Mu, Zhu Liu, Yaohua Liu, Risheng Liu, Xin Fan

IEEE Trans. Image Process., 2022

Efficient Cavity Searching for Gene Network of Influenza A Virus.

Junjie Li, Jietong Zhao, Yanqing Su, Jiahao Shen, Yaohua Liu, Xinyue Fan, Zheng Kou

CoRR, 2022

LGC-Net: A Lightweight Gyroscope Calibration Network for Efficient Attitude Estimation.

Yaohua Liu, Wei Liang, Jinqiang Cui

CoRR, 2022

Byzantine-Resilient Decentralized Resource Allocation.

Runhua Wang, Yaohua Liu, Qing Ling

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

A Novel Sensor Fusion Method Based on Invariant Extended Kalman Filter for Unmanned Aerial Vehicle.

Xuan Zhou, Yi Chen, Yaohua Liu, Jinxing Hu

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021

A Novel Hybrid Attitude Fusion Method Based on LSTM Neural Network for Unmanned Aerial Vehicle.

Yaohua Liu, Yimin Zhou, Yang Zhang

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021

Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond.

Risheng Liu, Yaohua Liu, Shangzhi Zeng, Jin Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Boml: A Modularized Bilevel Optimization Library In Python For Meta Learning.

Yaohua Liu, Risheng Liu

Proceedings of the 2021 IEEE International Conference on Multimedia & Expo Workshops, 2021

2020

Communication-Censored Linearized ADMM for Decentralized Consensus Optimization.

Weiyu Li, Yaohua Liu, Zhi Tian, Qing Ling

IEEE Trans. Signal Inf. Process. over Networks, 2020

2019

A unified framework for interactive image segmentation via Fisher rules.

Lingkun Luo, Xiaofang Wang, Shiqiang Hu, Xing Hu, Huanlong Zhang, Yaohua Liu, James Zhang

Vis. Comput., 2019

Communication-Censored ADMM for Decentralized Consensus Optimization.

Yaohua Liu, Wei Xu, Gang Wu, Zhi Tian, Qing Ling

IEEE Trans. Signal Process., 2019

Learning What and Where from Attributes to Improve Person Re-Identification.

Jinghao Luo, Yaohua Liu, Changxin Gao, Nong Sang

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

COLA: Communication-censored Linearized ADMM for Decentralized Consensus Optimization.

Weiyu Li, Yaohua Liu, Zhi Tian, Qing Ling

Proceedings of the IEEE International Conference on Acoustics, 2019

Volumetric Data Exploration with Machine Learning-Aided Visualization in Neutron Science.

Yawei Hui, Yaohua Liu

Proceedings of the Advances in Computer Vision, 2019

Decentralized Dynamic ADMM with Quantized and Censored Communications.

Yaohua Liu, Kun Yuan, Gang Wu, Zhi Tian, Qing Ling

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Computer Vision-aided Atom Tracking in STEM Imaging.

Yawei Hui, Yaohua Liu

CoRR, 2018

Discovering Features in Sr₁₄Cu₂₄O₄₁ Neutron Single Crystal Diffraction Data by Cluster Analysis.

Yawei Hui, Yaohua Liu, Byung-Hoon Park

CoRR, 2018

Attitude Estimation of Unmanned Aerial Vehicle Based on LSTM Neural Network.

Yaohua Liu, Yimin Zhou, Xiang Li

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

COCA: Communication-Censored ADMM for Decentralized Consensus Optimization.

Yaohua Liu, Wei Xu, Gang Wu, Zhi Tian, Qing Ling

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

Asynchronous periodic event-triggered coordination of multi-agent systems.

Yaohua Liu, Cameron Nowzari, Zhi Tian, Qing Ling

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Weighted ADMM for Fast Decentralized Network Optimization.

Qing Ling, Yaohua Liu, Wei Shi, Zhi Tian

IEEE Trans. Signal Process., 2016

Communication-efficient weighted ADMM for decentralized network optimization.

Qing Ling, Yaohua Liu, Wei Shi, Zhi Tian

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016