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ORCIDYaohua Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j10]Jiaxin Gao
, Yaohua Liu, Ziyu Yue, Xin Fan, Risheng Liu:
Collaborative brightening and amplification of low-light imagery via bi-level adversarial learning. Pattern Recognit. 154: 110558 (2024)- [c19]Yaohua Liu, Jiaxin Gao, Xuan Liu, Xianghao Jiao, Xin Fan, Risheng Liu:
Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation. IJCAI 2024: 1137-1145 - [c18]Jiaxin Gao, Yaohua Liu:
Enhancing Images with Coupled Low-Resolution and Ultra-Dark Degradations: A Tri-level Learning Framework. ACM Multimedia 2024: 8642-8651 - [i15]Yaohua Liu:
A Prompt-driven Task Planning Method for Multi-drones based on Large Language Model. CoRR abs/2406.00006 (2024) - [i14]Yaohua Liu, Jiaxin Gao, Xuan Liu, Xianghao Jiao, Xin Fan, Risheng Liu:
Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation. CoRR abs/2406.02064 (2024) - 2023
- [j9]Yu Jiang, Xiang Li, Yaohua Liu, Wei Wang, Jinsong Du:
3D interest point detection using balance-distortion oriented selection. Vis. Comput. 39(2): 733-747 (2023) - [c17]Xiaofeng Liu, Jiaxin Gao, Yaohua Liu, Nenggan Zheng, Risheng Liu:
Motion-Scenario Decoupling for Rat-Aware Video Position Prediction: Strategy and Benchmark. ICIG (2) 2023: 136-148 - [c16]Risheng Liu, Yaohua Liu, Wei Yao, Shangzhi Zeng, Jin Zhang:
Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity. ICML 2023: 21839-21866 - [c15]Xianghao Jiao, Yaohua Liu, Jiaxin Gao, Xinyuan Chu, Xin Fan, Risheng Liu:
PEARL: Preprocessing Enhanced Adversarial Robust Learning of Image Deraining for Semantic Segmentation. ACM Multimedia 2023: 8185-8194 - [c14]Jianwen Cao, Tianhao Gong, Yaohua Liu:
Fuse Tune: Hierarchical Decoder Towards Efficient Transfer Learning. PRCV (7) 2023: 207-219 - [i13]Risheng Liu, Yaohua Liu, Wei Yao, Shangzhi Zeng, Jin Zhang:
Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity. CoRR abs/2302.03407 (2023) - [i12]Xianghao Jiao, Yaohua Liu, Jiaxin Gao, Xinyuan Chu, Risheng Liu, Xin Fan:
PEARL: Preprocessing Enhanced Adversarial Robust Learning of Image Deraining for Semantic Segmentation. CoRR abs/2305.15709 (2023) - [i11]Xiaofeng Liu, Jiaxin Gao, Yaohua Liu, Risheng Liu, Nenggan Zheng:
Motion-Scenario Decoupling for Rat-Aware Video Position Prediction: Strategy and Benchmark. CoRR abs/2305.18310 (2023) - [i10]Jiaxin Gao, Ziyu Yue, Yaohua Liu, Sihan Xie, Xin Fan, Risheng Liu:
Diving into Darkness: A Dual-Modulated Framework for High-Fidelity Super-Resolution in Ultra-Dark Environments. CoRR abs/2309.05267 (2023) - [i9]Yaohua Liu, Jiaxin Gao, Zhu Liu, Xianghao Jiao, Xin Fan, Risheng Liu:
Learn from the Past: A Proxy based Adversarial Defense Framework to Boost Robustness. CoRR abs/2310.12713 (2023) - 2022
- [j8]Yaohua Liu, Jinqiang Cui, Wei Liang:
A hybrid learning-based stochastic noise eliminating method with attention-Conv-LSTM network for low-cost MEMS gyroscope. Frontiers Neurorobotics 16 (2022) - [j7]Pan Mu, Zhu Liu, Yaohua Liu, Risheng Liu, Xin Fan:
Triple-Level Model Inferred Collaborative Network Architecture for Video Deraining. IEEE Trans. Image Process. 31: 239-250 (2022) - [j6]Yaohua Liu, Gang Wu, Zhi Tian, Qing Ling:
DQC-ADMM: Decentralized Dynamic ADMM With Quantized and Censored Communications. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3290-3304 (2022) - [j5]Runhua Wang, Yaohua Liu, Qing Ling:
Byzantine-Resilient Resource Allocation Over Decentralized Networks. IEEE Trans. Signal Process. 70: 4711-4726 (2022) - [c13]Runhua Wang, Yaohua Liu, Qing Ling:
Byzantine-Resilient Decentralized Resource Allocation. ICASSP 2022: 5293-5297 - [i8]Yaohua Liu, Wei Liang, Jinqiang Cui:
LGC-Net: A Lightweight Gyroscope Calibration Network for Efficient Attitude Estimation. CoRR abs/2209.08816 (2022) - [i7]Junjie Li, Jietong Zhao, Yanqing Su, Jiahao Shen, Yaohua Liu, Xinyue Fan, Zheng Kou:
Efficient Cavity Searching for Gene Network of Influenza A Virus. CoRR abs/2211.02935 (2022) - 2021
- [c12]Yaohua Liu, Risheng Liu:
Boml: A Modularized Bilevel Optimization Library In Python For Meta Learning. ICME Workshops 2021: 1-2 - [c11]Risheng Liu, Yaohua Liu, Shangzhi Zeng, Jin Zhang:
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond. NeurIPS 2021: 8662-8675 - [c10]Xuan Zhou, Yi Chen, Yaohua Liu, Jinxing Hu:
A Novel Sensor Fusion Method Based on Invariant Extended Kalman Filter for Unmanned Aerial Vehicle. ROBIO 2021: 1111-1116 - [c9]Yaohua Liu, Yimin Zhou, Yang Zhang:
A Novel Hybrid Attitude Fusion Method Based on LSTM Neural Network for Unmanned Aerial Vehicle. ROBIO 2021: 1630-1635 - [i6]Risheng Liu, Yaohua Liu, Shangzhi Zeng, Jin Zhang:
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond. CoRR abs/2110.00455 (2021) - [i5]Pan Mu, Zhu Liu, Yaohua Liu, Risheng Liu, Xin Fan:
Triple-level Model Inferred Collaborative Network Architecture for Video Deraining. CoRR abs/2111.04459 (2021) - 2020
- [j4]Weiyu Li, Yaohua Liu, Zhi Tian, Qing Ling:
Communication-Censored Linearized ADMM for Decentralized Consensus Optimization. IEEE Trans. Signal Inf. Process. over Networks 6: 18-34 (2020) - [i4]Yaohua Liu, Risheng Liu:
BOML: A Modularized Bilevel Optimization Library in Python for Meta Learning. CoRR abs/2009.13357 (2020)
2010 – 2019
- 2019
- [j3]Yaohua Liu, Wei Xu, Gang Wu, Zhi Tian, Qing Ling:
Communication-Censored ADMM for Decentralized Consensus Optimization. IEEE Trans. Signal Process. 67(10): 2565-2579 (2019) - [j2]Lingkun Luo, Xiaofang Wang, Shiqiang Hu, Xing Hu, Huanlong Zhang, Yaohua Liu, James Zhang:
A unified framework for interactive image segmentation via Fisher rules. Vis. Comput. 35(12): 1869-1882 (2019) - [c8]Yaohua Liu, Kun Yuan, Gang Wu, Zhi Tian, Qing Ling:
Decentralized Dynamic ADMM with Quantized and Censored Communications. ACSSC 2019: 1496-1500 - [c7]Yawei Hui, Yaohua Liu:
Volumetric Data Exploration with Machine Learning-Aided Visualization in Neutron Science. CVC (1) 2019: 257-271 - [c6]Weiyu Li, Yaohua Liu, Zhi Tian, Qing Ling:
COLA: Communication-censored Linearized ADMM for Decentralized Consensus Optimization. ICASSP 2019: 5237-5241 - [c5]Jinghao Luo, Yaohua Liu, Changxin Gao, Nong Sang:
Learning What and Where from Attributes to Improve Person Re-Identification. ICIP 2019: 165-169 - 2018
- [c4]Yaohua Liu, Wei Xu, Gang Wu, Zhi Tian, Qing Ling:
COCA: Communication-Censored ADMM for Decentralized Consensus Optimization. ACSSC 2018: 33-37 - [c3]Yaohua Liu, Yimin Zhou, Xiang Li:
Attitude Estimation of Unmanned Aerial Vehicle Based on LSTM Neural Network. IJCNN 2018: 1-6 - [i3]Yawei Hui, Yaohua Liu, Byung-Hoon Park:
Discovering Features in Sr14Cu24O41 Neutron Single Crystal Diffraction Data by Cluster Analysis. CoRR abs/1809.05039 (2018) - [i2]Yawei Hui, Yaohua Liu:
Computer Vision-aided Atom Tracking in STEM Imaging. CoRR abs/1809.05076 (2018) - 2017
- [c2]Yaohua Liu, Cameron Nowzari, Zhi Tian, Qing Ling:
Asynchronous periodic event-triggered coordination of multi-agent systems. CDC 2017: 6696-6701 - [i1]Yawei Hui, Yaohua Liu:
Volumetric Data Exploration with Machine Learning-Aided Visualization in Neutron Science. CoRR abs/1710.05994 (2017) - 2016
- [j1]Qing Ling, Yaohua Liu, Wei Shi, Zhi Tian:
Weighted ADMM for Fast Decentralized Network Optimization. IEEE Trans. Signal Process. 64(22): 5930-5942 (2016) - [c1]Qing Ling, Yaohua Liu, Wei Shi, Zhi Tian:
Communication-efficient weighted ADMM for decentralized network optimization. ICASSP 2016: 4821-4825
Coauthor Index
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