Communication-efficient weighted ADMM for decentralized network optimization. - Qing Ling 001; Yaohua Liu; Wei Shi 010; Zhi Tian (ICASSP, 2016)

Weighted ADMM for Fast Decentralized Network Optimization. - Qing Ling 001; Yaohua Liu; Wei Shi 010; Zhi Tian (IEEE Trans. Signal Process., 2016)

Asynchronous periodic event-triggered coordination of multi-agent systems. - Yaohua Liu; Cameron Nowzari; Zhi Tian; Qing Ling 001 (CDC, 2017)

COCA: Communication-Censored ADMM for Decentralized Consensus Optimization. - Yaohua Liu; Wei Xu 010; Gang Wu 011; Zhi Tian; Qing Ling 001 (ACSSC, 2018)

Attitude Estimation of Unmanned Aerial Vehicle Based on LSTM Neural Network. - Yaohua Liu; Yimin Zhou 001; Xiang Li (IJCNN, 2018)

Discovering Features in Sr14Cu24O41 Neutron Single Crystal Diffraction Data by Cluster Analysis. - Yawei Hui; Yaohua Liu; Byung-Hoon Park (CoRR, 2018)

Computer Vision-aided Atom Tracking in STEM Imaging. - Yawei Hui; Yaohua Liu (CoRR, 2018)

Decentralized Dynamic ADMM with Quantized and Censored Communications. - Yaohua Liu; Kun Yuan 001; Gang Wu 011; Zhi Tian; Qing Ling 001 (ACSSC, 2019)

Volumetric Data Exploration with Machine Learning-Aided Visualization in Neutron Science. - Yawei Hui; Yaohua Liu (CVC (1), 2019)

COLA: Communication-censored Linearized ADMM for Decentralized Consensus Optimization. - Weiyu Li; Yaohua Liu; Zhi Tian; Qing Ling 001 (ICASSP, 2019)

Learning What and Where from Attributes to Improve Person Re-Identification. - Jinghao Luo; Yaohua Liu; Changxin Gao; Nong Sang (ICIP, 2019)

Communication-Censored ADMM for Decentralized Consensus Optimization. - Yaohua Liu; Wei Xu 010; Gang Wu 011; Zhi Tian; Qing Ling 001 (IEEE Trans. Signal Process., 2019)

A unified framework for interactive image segmentation via Fisher rules. - Lingkun Luo; Xiaofang Wang; Shiqiang Hu; Xing Hu 007; Huanlong Zhang; Yaohua Liu; James Zhang (Vis. Comput., 2019)

Communication-Censored Linearized ADMM for Decentralized Consensus Optimization. - Weiyu Li; Yaohua Liu; Zhi Tian; Qing Ling 001 (IEEE Trans. Signal Inf. Process. over Networks, 2020)

Boml: A Modularized Bilevel Optimization Library In Python For Meta Learning. - Yaohua Liu; Risheng Liu (ICME Workshops, 2021)

Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond. - Risheng Liu; Yaohua Liu; Shangzhi Zeng; Jin Zhang 002 (NeurIPS, 2021)

A Novel Hybrid Attitude Fusion Method Based on LSTM Neural Network for Unmanned Aerial Vehicle. - Yaohua Liu; Yimin Zhou 001; Yang Zhang (ROBIO, 2021)

A Novel Sensor Fusion Method Based on Invariant Extended Kalman Filter for Unmanned Aerial Vehicle. - Xuan Zhou; Yi Chen; Yaohua Liu; Jinxing Hu (ROBIO, 2021)

Byzantine-Resilient Decentralized Resource Allocation. - Runhua Wang; Yaohua Liu; Qing Ling 001 (ICASSP, 2022)

LGC-Net: A Lightweight Gyroscope Calibration Network for Efficient Attitude Estimation. - Yaohua Liu; Wei Liang; Jinqiang Cui (CoRR, 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)

Triple-Level Model Inferred Collaborative Network Architecture for Video Deraining. - Pan Mu; Zhu Liu 004; Yaohua Liu; Risheng Liu; Xin Fan 001 (IEEE Trans. Image Process., 2022)

DQC-ADMM: Decentralized Dynamic ADMM With Quantized and Censored Communications. - Yaohua Liu; Gang Wu 011; Zhi Tian; Qing Ling 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Byzantine-Resilient Resource Allocation Over Decentralized Networks. - Runhua Wang; Yaohua Liu; Qing Ling 001 (IEEE Trans. Signal Process., 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, 2022)

Motion-Scenario Decoupling for Rat-Aware Video Position Prediction: Strategy and Benchmark. - Xiaofeng Liu 001; Jiaxin Gao; Yaohua Liu; Nenggan Zheng; Risheng Liu (ICIG (2), 2023)

Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity. - Risheng Liu; Yaohua Liu; Wei Yao 014; Shangzhi Zeng; Jin Zhang 002 (ICML, 2023)

PEARL: Preprocessing Enhanced Adversarial Robust Learning of Image Deraining for Semantic Segmentation. - Xianghao Jiao; Yaohua Liu; Jiaxin Gao; Xinyuan Chu; Xin Fan 001; Risheng Liu (ACM Multimedia, 2023)

Fuse Tune: Hierarchical Decoder Towards Efficient Transfer Learning. - Jianwen Cao 003; Tianhao Gong; Yaohua Liu (PRCV (7), 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 001; Risheng Liu (CoRR, 2023)

Learn from the Past: A Proxy based Adversarial Defense Framework to Boost Robustness. - Yaohua Liu; Jiaxin Gao; Zhu Liu 004; Xianghao Jiao; Xin Fan 001; Risheng Liu (CoRR, 2023)

3D interest point detection using balance-distortion oriented selection. - Yu Jiang; Xiang Li; Yaohua Liu; Wei Wang; Jinsong Du (Vis. Comput., 2023)

Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation. - Yaohua Liu; Jiaxin Gao; Xuan Liu; Xianghao Jiao; Xin Fan 001; Risheng Liu (IJCAI, 2024)

Enhancing Images with Coupled Low-Resolution and Ultra-Dark Degradations: A Tri-level Learning Framework. - Jiaxin Gao; Yaohua Liu (ACM Multimedia, 2024)

A Prompt-driven Task Planning Method for Multi-drones based on Large Language Model. - Yaohua Liu (CoRR, 2024)

Collaborative brightening and amplification of low-light imagery via bi-level adversarial learning. - Jiaxin Gao; Yaohua Liu; Ziyu Yue; Xin Fan 001; Risheng Liu (Pattern Recognit., 2024)

Observation-Graph Interaction and Key-Detail Guidance for Vision and Language Navigation. - Yifan Xie; Binkai Ou; Fei Ma 006; Yaohua Liu (CoRR, 2025)

A Dual-Stream-Modulated Learning Framework for Illuminating and Super-Resolving Ultra-Dark Images. - Jiaxin Gao; Ziyu Yue; Yaohua Liu; Sihan Xie; Xin Fan 001; Risheng Liu (IEEE Trans. Neural Networks Learn. Syst., 2025)

AdaGCL+: An Adaptive Subgraph Contrastive Learning Toward Tackling Topological Bias. - Yili Wang 004; Yaohua Liu; Ninghao Liu; Rui Miao 003; Ying Wang 009; Xin Wang 035 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)