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Yaohua Liu
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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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last updated on 2024-11-05 20:59 CET by the dblp team
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