A composite logistic regression approach for ordinal panel data regression. - Ronghua Luo; Hansheng Wang 002 (Int. J. Data Anal. Tech. Strateg., 2008)

Fuzzy CMAC with automatic state partition for reinforcementlearning. - Huaqing Min; Jiaan Zeng; Ronghua Luo (GEC Summit, 2009)

A new hierarchical simultaneous localization and mapping method based on local shape context of environment. - Ronghua Luo; Huaqing Min; Yan Shao (ICMLC, 2010)

Gait Planning of Humanoid Robots Walking on Stairs. - Sheng Bi; Huaqing Min; Zhongjie Zhuang; Tuo Xia; Huaxi Mo; Jian Chen; Jincheng Xu; Yanping Zhou; Shaojun Li; Ronghua Luo; Min Dong 002 (FIRA, 2011)

Multi-objective optimization for a humanoid robot walking on slopes. - Sheng Bi; Zhong-Jie Zhuang; Tuo Xia; Hua-Xi Mo; Huaqing Min; Ronghua Luo (ICMLC, 2011)

Simultaneous place and object recognition with mobile robot using pose encoded contextual information. - Ronghua Luo; Songhao Piao; Huaqing Min (ICRA, 2011)

A new filled function method for an unconstrained nonlinear equation. - Chengjun Wang; Ronghua Luo; Kun Wu; Boshun Han (J. Comput. Appl. Math., 2011)

Local Consistent Alignment for 3D modeling with an RGB-D camera. - Mingjie Liang; Huaqing Min; Ronghua Luo; Jin-Hui Zhu; Chang'an Yi (ICARCV, 2012)

An incremental learning algorithm for autonomous mental development of robots. - Chang'an Yi; Huaqing Min; Ronghua Luo; Xiao-Wen Shen; Zhi-Peng Zhong; Ming-Jie Liang (ICMLC, 2012)

A novel formalization for robot cognition based on Affordance model. - Chang'an Yi; Huaqing Min; Ronghua Luo; Zhi-Peng Zhong; Xiao-Wen Shen (ROBIO, 2012)

Affordance matching from the shared information in multi-robot. - Chang'an Yi; Huaqing Min; Ronghua Luo (ROBIO, 2015)

Simultaneous Recognition and Modeling for Learning 3-D Object Models From Everyday Scenes. - Mingjie Liang; Huaqing Min; Ronghua Luo; Jin-Hui Zhu (IEEE Trans. Cybern., 2015)

Laplacian regularized locality-constrained coding for image classification. - Huaqing Min; Mingjie Liang; Ronghua Luo; Jin-Hui Zhu (Neurocomputing, 2016)

Goal-directed affordance prediction at the subtask level. - Huaqing Min; Chang'an Yi; Ronghua Luo; Jin-Hui Zhu (Ind. Robot, 2016)

Affordance Research in Developmental Robotics: A Survey. - Huaqing Min; Chang'an Yi; Ronghua Luo; Jin-Hui Zhu; Sheng Bi (IEEE Trans. Cogn. Dev. Syst., 2016)

Power Allocation in One-Way Untrusted AF Relay System with Friendly Jamming. - Ronghua Luo; Chao Meng; Guobing Hu; Hua Shi (5GWN, 2017)

Combating Malicious Eavesdropper in Wireless Full-Duplex Relay Networks: Cooperative Jamming and Power Allocation. - Ronghua Luo; Jun Lei; Guobing Hu (GSKI (1), 2017)

Affordance triggering for arbitrary states based on robot exploring. - Chang'an Yi; Guofei Zheng; Sheng Bi; Ronghua Luo; Pengshuai Yin; Xinshi Xu; Huaqing Min (ROBIO, 2017)

Detecting homogenous predictors in high-dimensional panel model with an MCMC algorithm. - Ronghua Luo; Wei Lan (Commun. Stat. Simul. Comput., 2017)

A Unified Framework for Metric Transfer Learning. - Yonghui Xu; Sinno Jialin Pan; Hui Xiong 001; Qingyao Wu; Ronghua Luo; Huaqing Min; Hengjie Song (IEEE Trans. Knowl. Data Eng., 2017)

Multi-objective Optimization for IoT Devices Association in Fog-Computing Based RAN. - Hua Shi; Yinbin Feng; Ronghua Luo; Jie Zheng (IoTaaS, 2018)

Factor-adjusted multiple testing of correlations. - Lilun Du; Wei Lan; Ronghua Luo; Pingshou Zhong (Comput. Stat. Data Anal., 2018)

Batch Active Learning With Two-Stage Sampling. - Ronghua Luo; Xiang Wang (IEEE Access, 2020)

Time Allocation in Ambient Backscatter Assisted RF-Powered Cognitive Radio Network with Friendly Jamming against Eavesdropping. - Ronghua Luo; Chen Liu (IEICE Trans. Commun., 2020)

Salient object detection based on backbone enhanced network. - Ronghua Luo; Huailin Huang; WeiZeng Wu (Image Vis. Comput., 2020)

Compare Network with Task-dependent Embeddings for Few-shot Learning. - Lingwei Chen; Ronghua Luo; Defu Zhang (IJCNN, 2021)

Pyramid Co-Attention Compare Network for Few-Shot Segmentation. - Defu Zhang; Ronghua Luo; Xuebin Chen; Lingwei Chen (IEEE Access, 2021)

Ambient Backscatter Communication Design over DCSK Signals. - Ronghua Luo; Hua Yang 003; Hua Shi; Jun Lei (Int. J. Bifurc. Chaos, 2021)

Joint offloading and energy optimization for wireless powered mobile edge computing under nonlinear EH Model. - Hua Shi; Ronghua Luo; Guan Gui 001 (Peer-to-Peer Netw. Appl., 2021)

Class Incremental Learning based on Local Structure Constraints in Feature Space. - Yinan Li; Ronghua Luo; Zhenming Huang (ICPR, 2022)

A Novel Multi-User Carrier Index Differential Chaos Shift Keying Modulation Scheme. - Hua Yang 003; Xiaofei Xu; Guoping Jiang; Ronghua Luo (J. Circuits Syst. Comput., 2022)

A Novel SR-DCSK-Based Ambient Backscatter Communication System. - Ronghua Luo; Hua Yang 003; Chao Meng; Xu Zhang (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Data-Free Class-Incremental Learning with Implicit Representation of Prototypes. - Tianwen Yang; Leixiong Huang; Ronghua Luo (ECAI, 2023)

Heterogeneous Graph Contrastive Learning for Recommendation. - Mengru Chen; Chao Huang 001; Lianghao Xia; Wei Wei 027; Yong Xu 007; Ronghua Luo (WSDM, 2023)

M2SD: Multiple Mixing Self-Distillation for Few-Shot Class-Incremental Learning. - Jinhao Lin; Ziheng Wu; Weifeng Lin; Jun Huang 004; Ronghua Luo (AAAI, 2024)

LVMUM: Toward Open-World Object Detection with Large Vision Models and Unsupervised Modeling. - Yangyang Huang; Xing Xi; Weiye Wu; Ronghua Luo (ICIC (7), 2024)

End-to-End Object Detection with YOLOF. - Xing Xi; Yangyang Huang; Weiye Wu; Ronghua Luo (ICIC (7), 2024)

KTCN: Enhancing Open-World Object Detection with Knowledge Transfer and Class-Awareness Neutralization. - Xing Xi; Yangyang Huang; Jinhao Lin; Ronghua Luo (IJCAI, 2024)

Novel Category Discovery Across Domains with Contrastive Learning and Adaptive Classifier. - Shengyuan Yu; Yangyang Huang; Tianwen Yang; Jinhao Lin; Ronghua Luo (IJCNN, 2024)

UMB: Understanding Model Behavior for Open-World Object Detection. - Xing Xi; Yangyang Huang; Zhijie Zhong; Ronghua Luo (NeurIPS, 2024)

Tracking and detection of basketball movements using multi-feature data fusion and hybrid YOLO-T2LSTM network. - Xiaofei Li; Ronghua Luo; Faiz Ul Islam (Soft Comput., 2024)

OW-OVD: Unified Open World and Open Vocabulary Object Detection. - Xing Xi; Yangyang Huang; Ronghua Luo; Yu Qiu (CVPR, 2025)

Decoupled Modeling of Foreground and Background for Open-World Object Detection. - Linhua Ye; Xing Xi; Yangyang Huang; Ronghua Luo (ICIC (2), 2025)

Collaborative Diffusion Models for Recommendation. - Mengru Chen; Lianghao Xia; Yong Xu 007; Ronghua Luo (SIGIR, 2025)

FMDL: Enhancing Open-World Object Detection with foundation models and dynamic learning. - Yangyang Huang; Jie Hu; Ronghua Luo (Expert Syst. Appl., 2025)

DDMCB: Open-world object detection empowered by Denoising Diffusion Models and Calibration Balance. - Yangyang Huang; Xing Xi; Ronghua Luo (Image Vis. Comput., 2025)

SALLM: Open world object detection empowered by self adaptive learning and large model. - Yangyang Huang; Linhua Ye; Ronghua Luo (Expert Syst. Appl., 2026)