Liang Qu

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 50

Top Topics

Countermeasures

Scale Parameter

Economic Growth

Top Venues

Int. J. Prod. Res.

Publications

Liang Qu, Cunze Wang, Yuhui Shi
Brain Storm Optimization based Swarm Learning for Diabetic Retinopathy Image Classification. CEC (2024)
Liang Qu, Yun Lin, Wei Yuan, Xiaojun Wan, Yuhui Shi, Hongzhi Yin
Automated Similarity Metric Generation for Recommendation. CoRR (2024)
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
Personalized Elastic Embedding Learning for On-Device Recommendation. IEEE Trans. Knowl. Data Eng. 36 (7) (2024)
Liang Qu, Cunze Wang, Yuhui Shi
Brain Storm Optimization Based Swarm Learning for Diabetic Retinopathy Image Classification. CoRR (2024)
Hongzhi Yin, Tong Chen, Liang Qu, Bin Cui
On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm. WWW (Companion Volume) (2024)
Wei Yuan, Chaoqun Yang, Liang Qu, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin
Robust Federated Contrastive Recommender System against Model Poisoning Attack. CoRR (2024)
Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin
Hide Your Model: A Parameter Transmission-free Federated Recommender System. ICDE (2024)
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures. CoRR (2024)
Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Guanhua Ye, Hongzhi Yin
PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System. CoRR (2024)
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures. SIGIR (2024)
Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin
Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation. WWW (2024)
Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation. CoRR (2024)
Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation. WWW (2024)
Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin
HeteFedRec: Federated Recommender Systems with Model Heterogeneity. ICDE (2024)
Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
Scalable Dynamic Embedding Size Search for Streaming Recommendation. CoRR (2024)
Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin
Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation. CoRR (2024)
Hongzhi Yin, Liang Qu, Tong Chen, Wei Yuan, Ruiqi Zheng, Jing Long, Xin Xia, Yuhui Shi, Chengqi Zhang
On-Device Recommender Systems: A Comprehensive Survey. CoRR (2024)
Hongzhi Yin, Tong Chen, Liang Qu, Bin Cui
On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm. CoRR (2023)
Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin
HeteFedRec: Federated Recommender Systems with Model Heterogeneity. CoRR (2023)
Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin
Semi-decentralized Federated Ego Graph Learning for Recommendation. WWW (2023)
Yongdong Li, Liang Qu, Guiyan Cai, Guoan Cheng, Long Qian, Yuling Dou, Fengqin Yao, Shengke Wang
Video Object Counting With Scene-Aware Multi-Object Tracking. J. Database Manag. 34 (3) (2023)
Ruiqi Zheng, Liang Qu, Bin Cui, Yuhui Shi, Hongzhi Yin
AutoML for Deep Recommender Systems: A Survey. ACM Trans. Inf. Syst. 41 (4) (2023)
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
Personalized Elastic Embedding Learning for On-Device Recommendation. CoRR (2023)
Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin
Semi-decentralized Federated Ego Graph Learning for Recommendation. CoRR (2023)
Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin
Hide Your Model: A Parameter Transmission-free Federated Recommender System. CoRR (2023)
Liang Qu, Yonghong Ye, Ningzhi Tang, Lixin Zhang, Yuhui Shi, Hongzhi Yin
Single-shot Embedding Dimension Search in Recommender System. CoRR (2022)
Liang Qu, Yonghong Ye, Ningzhi Tang, Lixin Zhang, Yuhui Shi, Hongzhi Yin
Single-shot Embedding Dimension Search in Recommender System. SIGIR (2022)
Zhen He, Yuan Gao, Liang Qu, Zhiqiong Wang
A nonparametric CUSUM scheme for monitoring multivariate time-between-events-and-amplitude data with application to automobile painting. Int. J. Prod. Res. 60 (18) (2022)
Ruiqi Zheng, Liang Qu, Bin Cui, Yuhui Shi, Hongzhi Yin
AutoML for Deep Recommender Systems: A Survey. CoRR (2022)
Guiyan Cai, Liang Qu, Yongdong Li, Guoan Cheng, Xin Lu, Yiqi Wang, Fengqin Yao, Shengke Wang
Semisupervised Surveillance Video Character Extraction and Recognition With Attentional Learning Multiframe Fusion. Int. J. Digit. Crime Forensics 14 (3) (2022)
Zaiyang Xie, Liang Qu, Runhui Lin, Qiutong Guo
Relationships between fluctuations of environmental regulation, technological innovation, and economic growth: a multinational perspective. J. Enterp. Inf. Manag. 35 (4/5) (2022)
Texian Zhang, Zhen He, Xiujie Zhao, Liang Qu
Joint monitoring of post-sales online review processes based on a distribution-free EWMA scheme. Comput. Ind. Eng. 158 (2021)
Liang Qu, Ruiqi Zheng, Yuhui Shi
BSO-CMA-ES: Brain Storm Optimization Based Covariance Matrix Adaptation Evolution Strategy for Multimodal Optimization. DMBD (2) (2021)
Ning Ding, Zhen He, Liangxing Shi, Liang Qu
A new risk-adjusted EWMA control chart based on survival time for monitoring surgical outcome quality. Qual. Reliab. Eng. Int. 37 (4) (2021)
Liang Qu, Xinyue Qiao, Fei Qi, Noritaka Nishida, Tyuji Hoshino
Analysis of Binding Modes of Antigen-Antibody Complexes by Molecular Mechanics Calculation. J. Chem. Inf. Model. 61 (5) (2021)
Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin
ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks. KDD (2021)
Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin
ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks. CoRR (2021)
Liang Qu, Huaisheng Zhu, Qiqi Duan, Yuhui Shi
Continuous-Time Link Prediction via Temporal Dependent Graph Neural Network. WWW (2020)
Jian Yang, Liang Qu, Yang Shen, Yuhui Shi, Shi Cheng, Junfeng Zhao, Xiaolong Shen
Swarm Intelligence in Data Science: Applications, Opportunities and Challenges. ICSI (2020)
Liang Qu, Qiqi Duan, Jian Yang, Shi Cheng, Ruiqi Zheng, Yuhui Shi
BSO-CLS: Brain Storm Optimization Algorithm with Cooperative Learning Strategy. ICSI (2020)
Liang Qu, Huaisheng Zhu, Yuhui Shi
BSOGCN: Brain Storm Optimization Graph Convolutional Networks Based Heterogeneous Information Networks Embedding. CEC (2020)
Liang Qu, Yuhui Shi
Gradient-free Algorithms for Graph Embedding. CEC (2019)
Qiqi Duan, Chang Shao, Liang Qu, Yuhui Shi, Ben Niu
When Cooperative Co-Evolution Meets Coordinate Descent: Theoretically Deeper Understandings and Practically Better Implementations. CEC (2019)
Qiqi Duan, Liang Qu, Chang Shao, Yuhui Shi
Hierarchical Decomposition based Cooperative Coevolution for Large-Scale Black-Box Optimization. SSCI (2019)
Shengke Wang, Lu Liu, Liang Qu, Changyin Yu, Yujuan Sun, Feng Gao, Junyu Dong
Accurate Ulva prolifera regions extraction of UAV images with superpixel and CNNs for ocean environment monitoring. Neurocomputing 348 (2019)
Liang Qu, Michael B. C. Khoo, Philippe Castagliola, Zhen He
Exponential cumulative sums chart for detecting shifts in time-between-events. Int. J. Prod. Res. 56 (10) (2018)
Liang Qu, Shuguang He, Michael B. C. Khoo, Philippe Castagliola
A CUSUM chart for detecting the intensity ratio of negative events. Int. J. Prod. Res. 56 (19) (2018)
Liang Qu, Shengke Wang, Na Yang, Long Chen, Lu Liu, Xiaoyan Zhang, Feng Gao, Junyu Dong
Improving object detection accuracy with region and regression based deep CNNs. SPAC (2017)
Shanshan Lv, Zhanwen Niu, Guodong Wang, Liang Qu, Zhen He
Lower Percentile Estimation of Accelerated Life Tests with Nonconstant Scale Parameter. Qual. Reliab. Eng. Int. 33 (7) (2017)
Guodong Wang, Zhanwen Niu, Shanshan Lv, Liang Qu, Zhen He
Bootstrapping Analysis of Lifetime Data with Subsampling. Qual. Reliab. Eng. Int. 32 (5) (2016)
Liang Qu, Zhang Wu, Michael B. C. Khoo, Abdur Rahim
Time-Between-Event Control Charts for Sampling Inspection. Technometrics 56 (3) (2014)
Liang Qu, Zhang Wu, Tien-I Liu
A control scheme integrating the T chart and TCUSUM chart. Qual. Reliab. Eng. Int. 27 (4) (2011)
Liang Qu, Xinghui Dong
Enteromorpha Prolifera Detection in Aerial Images Based on Image Retrieval. WKDD (2010)