Yaohua Liu - RankMe

58 papers A* 5A 1B 2Misc 5Journal 38Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Low-Cost Vision-Based Tactile Gripper with Pretraining Learning for Contact-Rich Manipulation. CoRR Yaohua Liu, Binkai Ou, Zicheng Qiu, Ce Hao, Hengjun Zhang
2026	J	`jnl`	A brain-inspired information fusion method for enhancing robot GPS outages navigation. CoRR Yaohua Liu, Hengjun Zhang, Binkai Ou
2026	J	`jnl`	Abstracting Robot Manipulation Skills via Mixture-of-Experts Diffusion Policies. CoRR Ce Hao, Xuanran Zhai, Yaohua Liu, Harold Soh
2026	J	`jnl`	Augmenting Iterative Trajectory for Bilevel Optimization: Methodology, Analysis and Extensions. IEEE Trans. Pattern Anal. Mach. Intell. Risheng Liu, Yaohua Liu, Shangzhi Zeng, Jin Zhang
2026	J	`jnl`	CoFreeVLA: Collision-Free Dual-Arm Manipulation via Vision-Language-Action Model and Risk Estimation. CoRR Xuanran Zhai, Binkai Ou, Yemin Wang, Hui Yi Leong, Qiaojun Yu, Ce Hao, Yaohua Liu
2026	J	`jnl`	NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering. CoRR Rong Fu, Yang Li, Zeyu Zhang, Jiekai Wu, Yaohua Liu, Shuaishuai Cao, Yangchen Zeng, Yuhang Zhang, Xiaojing Du, Chuang Zhao, Kangning Cui, Simon Fong
2026	J	`jnl`	PHANTOM Hand. CoRR Teng Yan, Jiongxu Chen, Qixiang Hua, Yue Yu, Zihang Wang, Yaohua Liu, Bingzhuo Zhong
2026	J	`jnl`	Spiking Neural-Invariant Kalman Fusion for Accurate Localization Using Low-Cost IMUs. CoRR Yaohua Liu, Qiao Xu, Yemin Wang, Hui Yi Leong, Binkai Ou
2025	J	`jnl`	A Dual-Stream-Modulated Learning Framework for Illuminating and Super-Resolving Ultra-Dark Images. IEEE Trans. Neural Networks Learn. Syst. Jiaxin Gao, Ziyu Yue, Yaohua Liu, Sihan Xie, Xin Fan, Risheng Liu
2025	J	`jnl`	AdaGCL+: An Adaptive Subgraph Contrastive Learning Toward Tackling Topological Bias. IEEE Trans. Pattern Anal. Mach. Intell. Yili Wang, Yaohua Liu, Ninghao Liu, Rui Miao, Ying Wang, Xin Wang
2025	J	`jnl`	Learning to Evolve with Convergence Guarantee via Neural Unrolling. CoRR Jiaxin Gao, Yaohua Liu, Ran Cheng, Kay Chen Tan
2025	A	`conf`	Observation-Graph Interaction and Key-Detail Guidance for Vision and Language Navigation. IROS Yifan Xie, Binkai Ou, Fei Ma, Yaohua Liu
2025	J	`jnl`	Observation-Graph Interaction and Key-Detail Guidance for Vision and Language Navigation. CoRR Yifan Xie, Binkai Ou, Fei Ma, Yaohua Liu
2025	J	`jnl`	Predictive power of combined inflammatory markers and magnetic resonance imaging features for glioma grading using machine learning: a retrospective study. BMC Medical Imaging Yaohua Liu, Yuting Wang, Junle Zhu, Shuang Qin, Yi Hong, Saifei Sun, Qin Zhang, Qi Lv
2024	J	`jnl`	A Prompt-driven Task Planning Method for Multi-drones based on Large Language Model. CoRR Yaohua Liu
2024	A*	`conf`	Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation. IJCAI Yaohua Liu, Jiaxin Gao, Xuan Liu, Xianghao Jiao, Xin Fan, Risheng Liu
2024	J	`jnl`	Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation. CoRR Yaohua Liu, Jiaxin Gao, Xuan Liu, Xianghao Jiao, Xin Fan, Risheng Liu
2024	J	`jnl`	Collaborative brightening and amplification of low-light imagery via bi-level adversarial learning. Pattern Recognit. Jiaxin Gao, Yaohua Liu, Ziyu Yue, Xin Fan, Risheng Liu
2024	A*	`conf`	Enhancing Images with Coupled Low-Resolution and Ultra-Dark Degradations: A Tri-level Learning Framework. ACM Multimedia Jiaxin Gao, Yaohua Liu
2023	J	`jnl`	3D interest point detection using balance-distortion oriented selection. Vis. Comput. Yu Jiang, Xiang Li, Yaohua Liu, Wei Wang, Jinsong Du
2023	A*	`conf`	Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity. ICML Risheng Liu, Yaohua Liu, Wei Yao, Shangzhi Zeng, Jin Zhang
2023	J	`jnl`	Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity. CoRR Risheng Liu, Yaohua Liu, Wei Yao, Shangzhi Zeng, Jin Zhang
2023	J	`jnl`	Diving into Darkness: A Dual-Modulated Framework for High-Fidelity Super-Resolution in Ultra-Dark Environments. CoRR Jiaxin Gao, Ziyu Yue, Yaohua Liu, Sihan Xie, Xin Fan, Risheng Liu
2023	—	`conf`	Fuse Tune: Hierarchical Decoder Towards Efficient Transfer Learning. PRCV (7) Jianwen Cao, Tianhao Gong, Yaohua Liu
2023	J	`jnl`	Learn from the Past: A Proxy based Adversarial Defense Framework to Boost Robustness. CoRR Yaohua Liu, Jiaxin Gao, Zhu Liu, Xianghao Jiao, Xin Fan, Risheng Liu
2023	—	`conf`	Motion-Scenario Decoupling for Rat-Aware Video Position Prediction: Strategy and Benchmark. ICIG (2) Xiaofeng Liu, Jiaxin Gao, Yaohua Liu, Nenggan Zheng, Risheng Liu
2023	J	`jnl`	Motion-Scenario Decoupling for Rat-Aware Video Position Prediction: Strategy and Benchmark. CoRR Xiaofeng Liu, Jiaxin Gao, Yaohua Liu, Risheng Liu, Nenggan Zheng
2023	A*	`conf`	PEARL: Preprocessing Enhanced Adversarial Robust Learning of Image Deraining for Semantic Segmentation. ACM Multimedia Xianghao Jiao, Yaohua Liu, Jiaxin Gao, Xinyuan Chu, Xin Fan, Risheng Liu
2023	J	`jnl`	PEARL: Preprocessing Enhanced Adversarial Robust Learning of Image Deraining for Semantic Segmentation. CoRR Xianghao Jiao, Yaohua Liu, Jiaxin Gao, Xinyuan Chu, Risheng Liu, Xin Fan
2022	J	`jnl`	A hybrid learning-based stochastic noise eliminating method with attention-Conv-LSTM network for low-cost MEMS gyroscope. Frontiers Neurorobotics Yaohua Liu, Jinqiang Cui, Wei Liang
2022	Misc	`conf`	Byzantine-Resilient Decentralized Resource Allocation. ICASSP Runhua Wang, Yaohua Liu, Qing Ling
2022	J	`jnl`	Byzantine-Resilient Resource Allocation Over Decentralized Networks. IEEE Trans. Signal Process. Runhua Wang, Yaohua Liu, Qing Ling
2022	J	`jnl`	DQC-ADMM: Decentralized Dynamic ADMM With Quantized and Censored Communications. IEEE Trans. Neural Networks Learn. Syst. Yaohua Liu, Gang Wu, Zhi Tian, Qing Ling
2022	J	`jnl`	Efficient Cavity Searching for Gene Network of Influenza A Virus. CoRR Junjie Li, Jietong Zhao, Yanqing Su, Jiahao Shen, Yaohua Liu, Xinyue Fan, Zheng Kou
2022	J	`jnl`	LGC-Net: A Lightweight Gyroscope Calibration Network for Efficient Attitude Estimation. CoRR Yaohua Liu, Wei Liang, Jinqiang Cui
2022	J	`jnl`	Triple-Level Model Inferred Collaborative Network Architecture for Video Deraining. IEEE Trans. Image Process. Pan Mu, Zhu Liu, Yaohua Liu, Risheng Liu, Xin Fan
2021	—	`conf`	A Novel Hybrid Attitude Fusion Method Based on LSTM Neural Network for Unmanned Aerial Vehicle. ROBIO Yaohua Liu, Yimin Zhou, Yang Zhang
2021	—	`conf`	A Novel Sensor Fusion Method Based on Invariant Extended Kalman Filter for Unmanned Aerial Vehicle. ROBIO Xuan Zhou, Yi Chen, Yaohua Liu, Jinxing Hu
2021	—	`conf`	Boml: A Modularized Bilevel Optimization Library In Python For Meta Learning. ICME Workshops Yaohua Liu, Risheng Liu
2021	A*	`conf`	Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond. NeurIPS Risheng Liu, Yaohua Liu, Shangzhi Zeng, Jin Zhang
2021	J	`jnl`	Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond. CoRR Risheng Liu, Yaohua Liu, Shangzhi Zeng, Jin Zhang
2021	J	`jnl`	Triple-level Model Inferred Collaborative Network Architecture for Video Deraining. CoRR Pan Mu, Zhu Liu, Yaohua Liu, Risheng Liu, Xin Fan
2020	J	`jnl`	BOML: A Modularized Bilevel Optimization Library in Python for Meta Learning. CoRR Yaohua Liu, Risheng Liu
2020	J	`jnl`	Communication-Censored Linearized ADMM for Decentralized Consensus Optimization. IEEE Trans. Signal Inf. Process. over Networks Weiyu Li, Yaohua Liu, Zhi Tian, Qing Ling
2019	J	`jnl`	A unified framework for interactive image segmentation via Fisher rules. Vis. Comput. Lingkun Luo, Xiaofang Wang, Shiqiang Hu, Xing Hu, Huanlong Zhang, Yaohua Liu, James Zhang
2019	Misc	`conf`	COLA: Communication-censored Linearized ADMM for Decentralized Consensus Optimization. ICASSP Weiyu Li, Yaohua Liu, Zhi Tian, Qing Ling
2019	J	`jnl`	Communication-Censored ADMM for Decentralized Consensus Optimization. IEEE Trans. Signal Process. Yaohua Liu, Wei Xu, Gang Wu, Zhi Tian, Qing Ling
2019	Misc	`conf`	Decentralized Dynamic ADMM with Quantized and Censored Communications. ACSSC Yaohua Liu, Kun Yuan, Gang Wu, Zhi Tian, Qing Ling
2019	B	`conf`	Learning What and Where from Attributes to Improve Person Re-Identification. ICIP Jinghao Luo, Yaohua Liu, Changxin Gao, Nong Sang
2019	—	`conf`	Volumetric Data Exploration with Machine Learning-Aided Visualization in Neutron Science. CVC (1) Yawei Hui, Yaohua Liu
2018	B	`conf`	Attitude Estimation of Unmanned Aerial Vehicle Based on LSTM Neural Network. IJCNN Yaohua Liu, Yimin Zhou, Xiang Li
2018	Misc	`conf`	COCA: Communication-Censored ADMM for Decentralized Consensus Optimization. ACSSC Yaohua Liu, Wei Xu, Gang Wu, Zhi Tian, Qing Ling
2018	J	`jnl`	Computer Vision-aided Atom Tracking in STEM Imaging. CoRR Yawei Hui, Yaohua Liu
2018	J	`jnl`	Discovering Features in Sr CoRR Yawei Hui, Yaohua Liu, Byung-Hoon Park
2017	—	`conf`	Asynchronous periodic event-triggered coordination of multi-agent systems. CDC Yaohua Liu, Cameron Nowzari, Zhi Tian, Qing Ling
2017	J	`jnl`	Volumetric Data Exploration with Machine Learning-Aided Visualization in Neutron Science. CoRR Yawei Hui, Yaohua Liu
2016	Misc	`conf`	Communication-efficient weighted ADMM for decentralized network optimization. ICASSP Qing Ling, Yaohua Liu, Wei Shi, Zhi Tian
2016	J	`jnl`	Weighted ADMM for Fast Decentralized Network Optimization. IEEE Trans. Signal Process. Qing Ling, Yaohua Liu, Wei Shi, Zhi Tian