Ronghua Luo - RankMe

52 papers A* 8A 3B 3C 1Misc 3Journal 23Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing open world object detection via learning class-agnostic foundational attributes with large language models. Expert Syst. Appl. Linhua Ye, Yifei Jiang, Ronghua Luo
2026	A*	`conf`	OW-DAR: Dual-Granularity Adaptive Reconstruction-Error Modeling for Open-World Object Detection. AAAI Linhua Ye, Xing Xi, Ronghua Luo
2026	J	`jnl`	Robust Unknown Object Detection in Dynamic Environments Through Dual-Granularity Reconstruction Error Modeling. IEEE Trans. Artif. Intell. Linhua Ye, Yangyang Huang, Ronghua Luo
2026	J	`jnl`	SALLM: Open world object detection empowered by self adaptive learning and large model. Expert Syst. Appl. Yangyang Huang, Linhua Ye, Ronghua Luo
2025	A*	`conf`	Collaborative Diffusion Models for Recommendation. SIGIR Mengru Chen, Lianghao Xia, Yong Xu, Ronghua Luo
2025	J	`jnl`	DDMCB: Open-world object detection empowered by Denoising Diffusion Models and Calibration Balance. Image Vis. Comput. Yangyang Huang, Xing Xi, Ronghua Luo
2025	A	`conf`	DLLM: Enhancing Open-World Object Detection with Dynamic Learning and Large Models. ICME Yangyang Huang, Xing Xi, Ronghua Luo
2025	—	`conf`	Decoupled Modeling of Foreground and Background for Open-World Object Detection. ICIC (2) Linhua Ye, Xing Xi, Yangyang Huang, Ronghua Luo
2025	J	`jnl`	FMDL: Enhancing Open-World Object Detection with foundation models and dynamic learning. Expert Syst. Appl. Yangyang Huang, Jie Hu, Ronghua Luo
2025	A*	`conf`	OW-OVD: Unified Open World and Open Vocabulary Object Detection. CVPR Xing Xi, Yangyang Huang, Ronghua Luo, Yu Qiu
2025	A*	`conf`	OW-VAP: Visual Attribute Parsing for Open World Object Detection. ICML Xing Xi, Xing Fu, Weiqiang Wang, Ronghua Luo
2024	—	`conf`	End-to-End Object Detection with YOLOF. ICIC (7) Xing Xi, Yangyang Huang, Weiye Wu, Ronghua Luo
2024	A*	`conf`	KTCN: Enhancing Open-World Object Detection with Knowledge Transfer and Class-Awareness Neutralization. IJCAI Xing Xi, Yangyang Huang, Jinhao Lin, Ronghua Luo
2024	—	`conf`	LVMUM: Toward Open-World Object Detection with Large Vision Models and Unsupervised Modeling. ICIC (7) Yangyang Huang, Xing Xi, Weiye Wu, Ronghua Luo
2024	A*	`conf`	M2SD: Multiple Mixing Self-Distillation for Few-Shot Class-Incremental Learning. AAAI Jinhao Lin, Ziheng Wu, Weifeng Lin, Jun Huang, Ronghua Luo
2024	B	`conf`	Novel Category Discovery Across Domains with Contrastive Learning and Adaptive Classifier. IJCNN Shengyuan Yu, Yangyang Huang, Tianwen Yang, Jinhao Lin, Ronghua Luo
2024	A*	`conf`	UMB: Understanding Model Behavior for Open-World Object Detection. NeurIPS Xing Xi, Yangyang Huang, Zhijie Zhong, Ronghua Luo
2023	A	`conf`	Data-Free Class-Incremental Learning with Implicit Representation of Prototypes. ECAI Tianwen Yang, Leixiong Huang, Ronghua Luo
2023	A	`conf`	Heterogeneous Graph Contrastive Learning for Recommendation. WSDM Mengru Chen, Chao Huang, Lianghao Xia, Wei Wei, Yong Xu, Ronghua Luo
2023	J	`jnl`	Heterogeneous Graph Contrastive Learning for Recommendation. CoRR Mengru Chen, Chao Huang, Lianghao Xia, Wei Wei, Yong Xu, Ronghua Luo
2022	J	`jnl`	A Novel Multi-User Carrier Index Differential Chaos Shift Keying Modulation Scheme. J. Circuits Syst. Comput. Hua Yang, Xiaofei Xu, Guoping Jiang, Ronghua Luo
2022	J	`jnl`	A Novel SR-DCSK-Based Ambient Backscatter Communication System. IEEE Trans. Circuits Syst. II Express Briefs Ronghua Luo, Hua Yang, Chao Meng, Xu Zhang
2022	B	`conf`	Class Incremental Learning based on Local Structure Constraints in Feature Space. ICPR Yinan Li, Ronghua Luo, Zhenming Huang
2021	J	`jnl`	Ambient Backscatter Communication Design over DCSK Signals. Int. J. Bifurc. Chaos Ronghua Luo, Hua Yang, Hua Shi, Jun Lei
2021	B	`conf`	Compare Network with Task-dependent Embeddings for Few-shot Learning. IJCNN Lingwei Chen, Ronghua Luo, Defu Zhang
2021	J	`jnl`	Joint offloading and energy optimization for wireless powered mobile edge computing under nonlinear EH Model. Peer-to-Peer Netw. Appl. Hua Shi, Ronghua Luo, Guan Gui
2021	J	`jnl`	Pyramid Co-Attention Compare Network for Few-Shot Segmentation. IEEE Access Defu Zhang, Ronghua Luo, Xuebin Chen, Lingwei Chen
2020	J	`jnl`	Batch Active Learning With Two-Stage Sampling. IEEE Access Ronghua Luo, Xiang Wang
2020	J	`jnl`	Salient object detection based on backbone enhanced network. Image Vis. Comput. Ronghua Luo, Huailin Huang, WeiZeng Wu
2020	J	`jnl`	Time Allocation in Ambient Backscatter Assisted RF-Powered Cognitive Radio Network with Friendly Jamming against Eavesdropping. IEICE Trans. Commun. Ronghua Luo, Chen Liu
2018	J	`jnl`	Factor-adjusted multiple testing of correlations. Comput. Stat. Data Anal. Lilun Du, Wei Lan, Ronghua Luo, Pingshou Zhong
2018	—	`conf`	Multi-objective Optimization for IoT Devices Association in Fog-Computing Based RAN. IoTaaS Hua Shi, Yinbin Feng, Ronghua Luo, Jie Zheng
2017	J	`jnl`	A Unified Framework for Metric Transfer Learning. IEEE Trans. Knowl. Data Eng. Yonghui Xu, Sinno Jialin Pan, Hui Xiong, Qingyao Wu, Ronghua Luo, Huaqing Min, Hengjie Song
2017	—	`conf`	Affordance triggering for arbitrary states based on robot exploring. ROBIO Chang'an Yi, Guofei Zheng, Sheng Bi, Ronghua Luo, Pengshuai Yin, Xinshi Xu, Huaqing Min
2017	—	`conf`	Combating Malicious Eavesdropper in Wireless Full-Duplex Relay Networks: Cooperative Jamming and Power Allocation. GSKI (1) Ronghua Luo, Jun Lei, Guobing Hu
2017	J	`jnl`	Detecting homogenous predictors in high-dimensional panel model with an MCMC algorithm. Commun. Stat. Simul. Comput. Ronghua Luo, Wei Lan
2017	—	`conf`	Power Allocation in One-Way Untrusted AF Relay System with Friendly Jamming. 5GWN Ronghua Luo, Chao Meng, Guobing Hu, Hua Shi
2016	J	`jnl`	Affordance Research in Developmental Robotics: A Survey. IEEE Trans. Cogn. Dev. Syst. Huaqing Min, Chang'an Yi, Ronghua Luo, Jin-Hui Zhu, Sheng Bi
2016	J	`jnl`	Goal-directed affordance prediction at the subtask level. Ind. Robot Huaqing Min, Chang'an Yi, Ronghua Luo, Jin-Hui Zhu
2016	J	`jnl`	Laplacian regularized locality-constrained coding for image classification. Neurocomputing Huaqing Min, Mingjie Liang, Ronghua Luo, Jin-Hui Zhu
2015	—	`conf`	Affordance matching from the shared information in multi-robot. ROBIO Chang'an Yi, Huaqing Min, Ronghua Luo
2015	J	`jnl`	Simultaneous Recognition and Modeling for Learning 3-D Object Models From Everyday Scenes. IEEE Trans. Cybern. Mingjie Liang, Huaqing Min, Ronghua Luo, Jin-Hui Zhu
2012	—	`conf`	A novel formalization for robot cognition based on Affordance model. ROBIO Chang'an Yi, Huaqing Min, Ronghua Luo, Zhi-Peng Zhong, Xiao-Wen Shen
2012	Misc	`conf`	An incremental learning algorithm for autonomous mental development of robots. ICMLC Chang'an Yi, Huaqing Min, Ronghua Luo, Xiao-Wen Shen, Zhi-Peng Zhong, Ming-Jie Liang
2012	C	`conf`	Local Consistent Alignment for 3D modeling with an RGB-D camera. ICARCV Mingjie Liang, Huaqing Min, Ronghua Luo, Jin-Hui Zhu, Chang'an Yi
2011	J	`jnl`	A new filled function method for an unconstrained nonlinear equation. J. Comput. Appl. Math. Chengjun Wang, Ronghua Luo, Kun Wu, Boshun Han
2011	—	`conf`	Gait Planning of Humanoid Robots Walking on Stairs. FIRA Sheng Bi, Huaqing Min, Zhongjie Zhuang, Tuo Xia, Huaxi Mo, Jian Chen, Jincheng Xu, Yanping Zhou, Shaojun Li, Ronghua Luo, Min Dong
2011	Misc	`conf`	Multi-objective optimization for a humanoid robot walking on slopes. ICMLC Sheng Bi, Zhong-Jie Zhuang, Tuo Xia, Hua-Xi Mo, Huaqing Min, Ronghua Luo
2011	A*	`conf`	Simultaneous place and object recognition with mobile robot using pose encoded contextual information. ICRA Ronghua Luo, Songhao Piao, Huaqing Min
2010	Misc	`conf`	A new hierarchical simultaneous localization and mapping method based on local shape context of environment. ICMLC Ronghua Luo, Huaqing Min, Yan Shao
2009	—	`conf`	Fuzzy CMAC with automatic state partition for reinforcementlearning. GEC Summit Huaqing Min, Jiaan Zeng, Ronghua Luo
2008	J	`jnl`	A composite logistic regression approach for ordinal panel data regression. Int. J. Data Anal. Tech. Strateg. Ronghua Luo, Hansheng Wang