Enteromorpha Prolifera Detection in Aerial Images Based on Image Retrieval. - Liang Qu; Xinghui Dong (WKDD, 2010)

A control scheme integrating the T chart and TCUSUM chart. - Liang Qu; Zhang Wu; Tien-I Liu (Qual. Reliab. Eng. Int., 2011)

Time-Between-Event Control Charts for Sampling Inspection. - Liang Qu; Zhang Wu; Michael B. C. Khoo; Abdur Rahim (Technometrics, 2014)

Bootstrapping Analysis of Lifetime Data with Subsampling. - Guodong Wang 003; Zhanwen Niu; Shanshan Lv; Liang Qu; Zhen He 001 (Qual. Reliab. Eng. Int., 2016)

Improving object detection accuracy with region and regression based deep CNNs. - Liang Qu; Shengke Wang; Na Yang; Long Chen 019; Lu Liu; Xiaoyan Zhang; Feng Gao 005; Junyu Dong (SPAC, 2017)

Lower Percentile Estimation of Accelerated Life Tests with Nonconstant Scale Parameter. - Shanshan Lv; Zhanwen Niu; Guodong Wang 003; Liang Qu; Zhen He 001 (Qual. Reliab. Eng. Int., 2017)

A CUSUM chart for detecting the intensity ratio of negative events. - Liang Qu; Shuguang He 001; Michael B. C. Khoo; Philippe Castagliola (Int. J. Prod. Res., 2018)

Exponential cumulative sums chart for detecting shifts in time-between-events. - Liang Qu; Michael B. C. Khoo; Philippe Castagliola; Zhen He 001 (Int. J. Prod. Res., 2018)

When Cooperative Co-Evolution Meets Coordinate Descent: Theoretically Deeper Understandings and Practically Better Implementations. - Qiqi Duan; Chang Shao; Liang Qu; Yuhui Shi 001; Ben Niu 002 (CEC, 2019)

Gradient-free Algorithms for Graph Embedding. - Liang Qu; Yuhui Shi (CEC, 2019)

Hierarchical Decomposition based Cooperative Coevolution for Large-Scale Black-Box Optimization. - Qiqi Duan; Liang Qu; Chang Shao; Yuhui Shi 001 (SSCI, 2019)

Accurate Ulva prolifera regions extraction of UAV images with superpixel and CNNs for ocean environment monitoring. - Shengke Wang; Lu Liu; Liang Qu; Changyin Yu; Yujuan Sun; Feng Gao 005; Junyu Dong (Neurocomputing, 2019)

BSOGCN: Brain Storm Optimization Graph Convolutional Networks Based Heterogeneous Information Networks Embedding. - Liang Qu; Huaisheng Zhu; Yuhui Shi (CEC, 2020)

BSO-CLS: Brain Storm Optimization Algorithm with Cooperative Learning Strategy. - Liang Qu; Qiqi Duan; Jian Yang 031; Shi Cheng; Ruiqi Zheng; Yuhui Shi 001 (ICSI, 2020)

Swarm Intelligence in Data Science: Applications, Opportunities and Challenges. - Jian Yang 031; Liang Qu; Yang Shen; Yuhui Shi 001; Shi Cheng; Junfeng Zhao 003; Xiaolong Shen (ICSI, 2020)

Continuous-Time Link Prediction via Temporal Dependent Graph Neural Network. - Liang Qu; Huaisheng Zhu; Qiqi Duan; Yuhui Shi 001 (WWW, 2020)

BSO-CMA-ES: Brain Storm Optimization Based Covariance Matrix Adaptation Evolution Strategy for Multimodal Optimization. - Liang Qu; Ruiqi Zheng; Yuhui Shi 001 (DMBD (2), 2021)

ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks. - Liang Qu; Huaisheng Zhu; Ruiqi Zheng; Yuhui Shi 001; Hongzhi Yin (KDD, 2021)

Joint monitoring of post-sales online review processes based on a distribution-free EWMA scheme. - Texian Zhang; Zhen He 001; Xiujie Zhao; Liang Qu (Comput. Ind. Eng., 2021)

Analysis of Binding Modes of Antigen-Antibody Complexes by Molecular Mechanics Calculation. - Liang Qu; Xinyue Qiao; Fei Qi; Noritaka Nishida; Tyuji Hoshino (J. Chem. Inf. Model., 2021)

A new risk-adjusted EWMA control chart based on survival time for monitoring surgical outcome quality. - Ning Ding; Zhen He 001; Liangxing Shi; Liang Qu (Qual. Reliab. Eng. Int., 2021)

Single-shot Embedding Dimension Search in Recommender System. - Liang Qu; Yonghong Ye; Ningzhi Tang; Lixin Zhang; Yuhui Shi 001; Hongzhi Yin (SIGIR, 2022)

Semisupervised Surveillance Video Character Extraction and Recognition With Attentional Learning Multiframe Fusion. - Guiyan Cai; Liang Qu; Yongdong Li; Guoan Cheng; Xin Lu; Yiqi Wang; Fengqin Yao; Shengke Wang (Int. J. Digit. Crime Forensics, 2022)

A nonparametric CUSUM scheme for monitoring multivariate time-between-events-and-amplitude data with application to automobile painting. - Zhen He 001; Yuan Gao 022; Liang Qu; Zhiqiong Wang (Int. J. Prod. Res., 2022)

Relationships between fluctuations of environmental regulation, technological innovation, and economic growth: a multinational perspective. - Zaiyang Xie; Liang Qu; Runhui Lin; Qiutong Guo (J. Enterp. Inf. Manag., 2022)

Semi-decentralized Federated Ego Graph Learning for Recommendation. - Liang Qu; Ningzhi Tang; Ruiqi Zheng; Quoc Viet Hung Nguyen; Zi Huang; Yuhui Shi 001; Hongzhi Yin (WWW, 2023)

Video Object Counting With Scene-Aware Multi-Object Tracking. - Yongdong Li; Liang Qu; Guiyan Cai; Guoan Cheng; Long Qian; Yuling Dou; Fengqin Yao; Shengke Wang (J. Database Manag., 2023)

AutoML for Deep Recommender Systems: A Survey. - Ruiqi Zheng; Liang Qu; Bin Cui 001; Yuhui Shi 001; Hongzhi Yin (ACM Trans. Inf. Syst., 2023)

PDC-FRS: Privacy-Preserving Data Contribution for Federated Recommender System. - Chaoqun Yang; Wei Yuan; Liang Qu; Thanh Tam Nguyen (ADMA (6), 2024)

Brain Storm Optimization based Swarm Learning for Diabetic Retinopathy Image Classification. - Liang Qu; Cunze Wang; Yuhui Shi 001 (CEC, 2024)

Scalable Dynamic Embedding Size Search for Streaming Recommendation. - Yunke Qu; Liang Qu; Tong Chen 005; Xiangyu Zhao 001; Quoc Viet Hung Nguyen; Hongzhi Yin (CIKM, 2024)

HeteFedRec: Federated Recommender Systems with Model Heterogeneity. - Wei Yuan 003; Liang Qu; Lizhen Cui; Yongxin Tong; Xiaofang Zhou 001; Hongzhi Yin (ICDE, 2024)

Hide Your Model: A Parameter Transmission-free Federated Recommender System. - Wei Yuan 003; Chaoqun Yang 002; Liang Qu; Quoc Viet Hung Nguyen; Jianxin Li; Hongzhi Yin (ICDE, 2024)

A Segmentation Network for Coastal Cegetation Guided by Category-Wighted Information from UAV Perspective Based on SAM. - Liang Qu; Xiaoli Song; Kelei Yuan; Zhen Liu; Shize Shao; Jiehong Sun; Guanghao Yuan; Jianing Sun; Wenxin Jiang; Shengke Wang (ICPCSEE (1), 2024)

GAN-Based Defogging and Multiscale Fusion Approach for UAV-Based Seagrass Bed Imagery Semantic Segmentation in Challenging Marine Environments. - Liang Qu; Xiaoli Song; Mengmeng Zhang; Juan Wang; Ruobing Wen; Shengke Wang (ICPCSEE (1), 2024)

Poisoning Decentralized Collaborative Recommender System and Its Countermeasures. - Ruiqi Zheng; Liang Qu; Tong Chen 005; Kai Zheng 001; Yuhui Shi 001; Hongzhi Yin (SIGIR, 2024)

Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation. - Liang Qu; Wei Yuan 003; Ruiqi Zheng; Lizhen Cui; Yuhui Shi 001; Hongzhi Yin (WWW, 2024)

On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm. - Hongzhi Yin; Tong Chen 005; Liang Qu; Bin Cui 001 (WWW (Companion Volume), 2024)

Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation. - Ruiqi Zheng; Liang Qu; Tong Chen 005; Lizhen Cui; Yuhui Shi 001; Hongzhi Yin (WWW, 2024)

On-Device Recommender Systems: A Comprehensive Survey. - Hongzhi Yin; Liang Qu; Tong Chen 005; Wei Yuan 003; Ruiqi Zheng; Jing Long; Xin Xia 013; Yuhui Shi 001; Chengqi Zhang (CoRR, 2024)

Robust Federated Contrastive Recommender System against Model Poisoning Attack. - Wei Yuan 003; Chaoqun Yang 002; Liang Qu; Guanhua Ye; Quoc Viet Hung Nguyen; Hongzhi Yin (CoRR, 2024)

Automated Similarity Metric Generation for Recommendation. - Liang Qu; Yun Lin; Wei Yuan 003; Xiaojun Wan 001; Yuhui Shi 001; Hongzhi Yin (CoRR, 2024)

Brain Storm Optimization Based Swarm Learning for Diabetic Retinopathy Image Classification. - Liang Qu; Cunze Wang; Yuhui Shi (CoRR, 2024)

Sparser Training for On-Device Recommendation Systems. - Yunke Qu; Liang Qu; Tong Chen 005; Xiangyu Zhao 001; Jianxin Li; Hongzhi Yin (CoRR, 2024)

Unleashing the Power of Large Language Models for Group POI Recommendations. - Jing Long; Liang Qu; Guanhua Ye; Tong Chen 005; Quoc Viet Hung Nguyen; Hongzhi Yin (CoRR, 2024)

Personalized Elastic Embedding Learning for On-Device Recommendation. - Ruiqi Zheng; Liang Qu; Tong Chen 005; Kai Zheng 001; Yuhui Shi 001; Hongzhi Yin (IEEE Trans. Knowl. Data Eng., 2024)

Virtual Restoration of Ancient Mold-Damaged Painting Based on 3D Convolutional Neural Network for Hyperspectral Image. - Sa Wang; Yi Cen; Liang Qu; Guanghua Li; Yao Chen; Lifu Zhang (Remote. Sens., 2024)

Optimal step stress accelerated degradation tests with the bivariate inverse Gaussian process. - Liang Qu; Jin Li; Xiujie Zhao; Min Zhang; Zhenyu Lv (Qual. Reliab. Eng. Int., 2024)

Metal Artifact Reduction Methods Using Deep Generative Models for Cultural Relics X-ray CT Images. - Daxin Peng; Jianqiang Li 002; Liang Qu; Jing Huang; Xi Xu; Jianyu Liu; Zhenbin Xie; Qing Xiao; Xueyan Zhang; Junyu Zhao; Qixin Chen; Wenyi Liang (COMPSAC, 2025)

Robust federated contrastive recommender system against targeted model poisoning attack. - Wei Yuan 003; Chaoqun Yang 002; Liang Qu; Guanhua Ye; Quoc Viet Hung Nguyen; Hongzhi Yin (Sci. China Inf. Sci., 2025)

DecKG: Decentralized collaborative learning with knowledge graph enhancement for POI recommendation. - Ruiqi Zheng; Liang Qu; Guanhua Ye; Tong Chen 005; Yuhui Shi 001; Hongzhi Yin (Inf. Sci., 2025)

PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System. - Wei Yuan 003; Chaoqun Yang 002; Liang Qu; Quoc Viet Hung Nguyen; Guanhua Ye; Hongzhi Yin (ACM Trans. Inf. Syst., 2025)

M2Rec: Multi-scale Mamba for Efficient Sequential Recommendation. - Qianru Zhang; Liang Qu; Honggang Wen; Dong Huang 005; Siu-Ming Yiu; Nguyen Quoc Viet Hung; Hongzhi Yin (CoRR, 2025)

Efficient Multimodal Streaming Recommendation via Expandable Side Mixture-of-Experts. - Yunke Qu; Liang Qu; Tong Chen 005; Quoc Viet Hung Nguyen; Hongzhi Yin (CoRR, 2025)

Proxy Model-Guided Reinforcement Learning for Client Selection in Federated Recommendation. - Liang Qu; Jianxin Li; Wei Yuan 003; Penghui Ruan; Yuhui Shi 001; Hongzhi Yin (CoRR, 2025)