Liang Qu

According to our database, Liang Qu authored at least 48 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., October, 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., August, 2024

Personalized Elastic Embedding Learning for On-Device Recommendation.

Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin

IEEE Trans. Knowl. Data Eng., July, 2024

Unleashing the Power of Large Language Models for Group POI Recommendations.

Jing Long, Liang Qu, Guanhua Ye, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin

CoRR, 2024

DecKG: Decentralized Collaborative Learning with Knowledge Graph Enhancement for POI Recommendation.

Ruiqi Zheng, Liang Qu, Guanhua Ye, Tong Chen, Yuhui Shi, Hongzhi Yin

CoRR, 2024

PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System.

Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Guanhua Ye, Hongzhi Yin

CoRR, 2024

Automated Similarity Metric Generation for Recommendation.

Liang Qu, Yun Lin, Wei Yuan, Xiaojun Wan, Yuhui Shi, Hongzhi Yin

CoRR, 2024

Robust Federated Contrastive Recommender System against Model Poisoning Attack.

Wei Yuan, Chaoqun Yang, Liang Qu, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin

CoRR, 2024

On-Device Recommender Systems: A Comprehensive Survey.

Hongzhi Yin, Liang Qu, Tong Chen, Wei Yuan, Ruiqi Zheng, Jing Long, Xin Xia, Yuhui Shi, Chengqi Zhang

CoRR, 2024

Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation.

Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin

Proceedings of the ACM on Web Conference 2024, 2024

On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm.

Hongzhi Yin, Tong Chen, Liang Qu, Bin Cui

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation.

Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin

Proceedings of the ACM on Web Conference 2024, 2024

Poisoning Decentralized Collaborative Recommender System and Its Countermeasures.

Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

Proceedings of the Data Science, 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

Proceedings of the Data Science, 2024

Hide Your Model: A Parameter Transmission-free Federated Recommender System.

Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

HeteFedRec: Federated Recommender Systems with Model Heterogeneity.

Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Scalable Dynamic Embedding Size Search for Streaming Recommendation.

Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Brain Storm Optimization based Swarm Learning for Diabetic Retinopathy Image Classification.

Liang Qu, Cunze Wang, Yuhui Shi

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

PDC-FRS: Privacy-Preserving Data Contribution for Federated Recommender System.

Chaoqun Yang, Wei Yuan, Liang Qu, Thanh Tam Nguyen

Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024

2023

AutoML for Deep Recommender Systems: A Survey.

Ruiqi Zheng, Liang Qu, Bin Cui, Yuhui Shi, Hongzhi Yin

ACM Trans. Inf. Syst., October, 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

Semi-decentralized Federated Ego Graph Learning for Recommendation.

Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin

Proceedings of the ACM Web Conference 2023, 2023

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

A nonparametric CUSUM scheme for monitoring multivariate time-between-events-and-amplitude data with application to automobile painting.

Zhen He, Yuan Gao, Liang Qu, Zhiqiong Wang

Int. J. Prod. Res., 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

Single-shot Embedding Dimension Search in Recommender System.

Liang Qu, Yonghong Ye, Ningzhi Tang, Lixin Zhang, Yuhui Shi, Hongzhi Yin

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

A new risk-adjusted EWMA control chart based on survival time for monitoring surgical outcome quality.

Ning Ding, Zhen He, Liangxing Shi, Liang Qu

Qual. Reliab. Eng. Int., 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

Joint monitoring of post-sales online review processes based on a distribution-free EWMA scheme.

Texian Zhang, Zhen He, Xiujie Zhao, Liang Qu

Comput. Ind. Eng., 2021

ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks.

Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

BSO-CMA-ES: Brain Storm Optimization Based Covariance Matrix Adaptation Evolution Strategy for Multimodal Optimization.

Liang Qu, Ruiqi Zheng, Yuhui Shi

Proceedings of the Data Mining and Big Data - 6th International Conference, 2021

2020

Continuous-Time Link Prediction via Temporal Dependent Graph Neural Network.

Liang Qu, Huaisheng Zhu, Qiqi Duan, Yuhui Shi

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Swarm Intelligence in Data Science: Applications, Opportunities and Challenges.

Jian Yang, Liang Qu, Yang Shen, Yuhui Shi, Shi Cheng, Junfeng Zhao, Xiaolong Shen

Proceedings of the Advances in Swarm Intelligence - 11th International Conference, 2020

BSO-CLS: Brain Storm Optimization Algorithm with Cooperative Learning Strategy.

Liang Qu, Qiqi Duan, Jian Yang, Shi Cheng, Ruiqi Zheng, Yuhui Shi

Proceedings of the Advances in Swarm Intelligence - 11th International Conference, 2020

BSOGCN: Brain Storm Optimization Graph Convolutional Networks Based Heterogeneous Information Networks Embedding.

Liang Qu, Huaisheng Zhu, Yuhui Shi

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

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, Junyu Dong

Neurocomputing, 2019

Hierarchical Decomposition based Cooperative Coevolution for Large-Scale Black-Box Optimization.

Qiqi Duan, Liang Qu, Chang Shao, Yuhui Shi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Gradient-free Algorithms for Graph Embedding.

Liang Qu, Yuhui Shi

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

When Cooperative Co-Evolution Meets Coordinate Descent: Theoretically Deeper Understandings and Practically Better Implementations.

Qiqi Duan, Chang Shao, Liang Qu, Yuhui Shi, Ben Niu

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Exponential cumulative sums chart for detecting shifts in time-between-events.

Liang Qu, Michael B. C. Khoo, Philippe Castagliola, Zhen He

Int. J. Prod. Res., 2018

A CUSUM chart for detecting the intensity ratio of negative events.

Liang Qu, Shuguang He, Michael B. C. Khoo, Philippe Castagliola

Int. J. Prod. Res., 2018

2017

Lower Percentile Estimation of Accelerated Life Tests with Nonconstant Scale Parameter.

Shanshan Lv, Zhanwen Niu, Guodong Wang, Liang Qu, Zhen He

Qual. Reliab. Eng. Int., 2017

Improving object detection accuracy with region and regression based deep CNNs.

Liang Qu, Shengke Wang, Na Yang, Long Chen, Lu Liu, Xiaoyan Zhang, Feng Gao, Junyu Dong

Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

2016

Bootstrapping Analysis of Lifetime Data with Subsampling.

Guodong Wang, Zhanwen Niu, Shanshan Lv, Liang Qu, Zhen He

Qual. Reliab. Eng. Int., 2016

2014

Time-Between-Event Control Charts for Sampling Inspection.

Liang Qu, Zhang Wu, Michael B. C. Khoo, Abdur Rahim

Technometrics, 2014

2011

A control scheme integrating the T chart and TCUSUM chart.

Liang Qu, Zhang Wu, Tien-I Liu

Qual. Reliab. Eng. Int., 2011

2010

Enteromorpha Prolifera Detection in Aerial Images Based on Image Retrieval.

Liang Qu, Xinghui Dong

Proceedings of the Third International Conference on Knowledge Discovery and Data Mining, 2010