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2020 – today
- 2024
[j18]Liang Qu, Jin Li
, Xiujie Zhao, Min Zhang, Zhenyu Lv:
Optimal step stress accelerated degradation tests with the bivariate inverse Gaussian process. Qual. Reliab. Eng. Int. 40(6): 3173-3192 (2024)- [j17]Sa Wang, Yi Cen, Liang Qu, Guanghua Li, Yao Chen, Lifu Zhang:
Virtual Restoration of Ancient Mold-Damaged Painting Based on 3D Convolutional Neural Network for Hyperspectral Image. Remote. Sens. 16(16): 2882 (2024) - [j16]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): 3363-3375 (2024) - [c24]Chaoqun Yang, Wei Yuan, Liang Qu, Thanh Tam Nguyen:
PDC-FRS: Privacy-Preserving Data Contribution for Federated Recommender System. ADMA (6) 2024: 65-79 - [c23]Liang Qu, Cunze Wang, Yuhui Shi:
Brain Storm Optimization based Swarm Learning for Diabetic Retinopathy Image Classification. CEC 2024: 1-7 - [c22]Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin:
Scalable Dynamic Embedding Size Search for Streaming Recommendation. CIKM 2024: 1941-1950 - [c21]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: 611-624 - [c20]Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin:
HeteFedRec: Federated Recommender Systems with Model Heterogeneity. ICDE 2024: 1324-1337 - [c19]Liang Qu, Xiaoli Song, Kelei Yuan, Zhen Liu, Shize Shao, Jiehong Sun, Guanghao Yuan, Jianing Sun, Wenxin Jiang, Shengke Wang:
A Segmentation Network for Coastal Cegetation Guided by Category-Wighted Information from UAV Perspective Based on SAM. ICPCSEE (1) 2024: 41-54 - [c18]Liang Qu, Xiaoli Song, Mengmeng Zhang, Juan Wang, Ruobing Wen, Shengke Wang:
GAN-Based Defogging and Multiscale Fusion Approach for UAV-Based Seagrass Bed Imagery Semantic Segmentation in Challenging Marine Environments. ICPCSEE (1) 2024: 55-72 - [c17]Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin:
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures. SIGIR 2024: 1712-1721 - [c16]Hongzhi Yin, Tong Chen, Liang Qu, Bin Cui:
On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm. WWW (Companion Volume) 2024: 1280-1283 - [c15]Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin:
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation. WWW 2024: 3910-3918 - [c14]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: 3930-3939 - [i21]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 abs/2401.11441 (2024) - [i20]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 abs/2401.13448 (2024) - [i19]Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin:
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation. CoRR abs/2401.17630 (2024) - [i18]Wei Yuan, Chaoqun Yang, Liang Qu, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin:
Robust Federated Contrastive Recommender System against Model Poisoning Attack. CoRR abs/2403.20107 (2024) - [i17]Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin:
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures. CoRR abs/2404.01177 (2024) - [i16]Liang Qu, Yun Lin, Wei Yuan, Xiaojun Wan, Yuhui Shi, Hongzhi Yin:
Automated Similarity Metric Generation for Recommendation. CoRR abs/2404.11818 (2024) - [i15]Liang Qu, Cunze Wang, Yuhui Shi:
Brain Storm Optimization Based Swarm Learning for Diabetic Retinopathy Image Classification. CoRR abs/2404.15585 (2024) - [i14]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 abs/2406.05387 (2024) - [i13]Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin:
Scalable Dynamic Embedding Size Search for Streaming Recommendation. CoRR abs/2407.15411 (2024) - [i12]Chaoqun Yang, Wei Yuan, Liang Qu, Thanh Tam Nguyen:
PDC-FRS: Privacy-preserving Data Contribution for Federated Recommender System. CoRR abs/2409.07773 (2024) - [i11]Ruiqi Zheng, Liang Qu, Guanhua Ye, Tong Chen, Yuhui Shi, Hongzhi Yin:
DecKG: Decentralized Collaborative Learning with Knowledge Graph Enhancement for POI Recommendation. CoRR abs/2410.10130 (2024) - [i10]Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Jianxin Li, Hongzhi Yin:
Sparser Training for On-Device Recommendation Systems. CoRR abs/2411.12205 (2024) - [i9]Jing Long, Liang Qu, Guanhua Ye, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin:
Unleashing the Power of Large Language Models for Group POI Recommendations. CoRR abs/2411.13415 (2024) - 2023
- [j15]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): 1-13 (2023) - [j14]Ruiqi Zheng, Liang Qu, Bin Cui, Yuhui Shi, Hongzhi Yin:
AutoML for Deep Recommender Systems: A Survey. ACM Trans. Inf. Syst. 41(4): 101:1-101:38 (2023) - [c13]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: 339-348 - [i8]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 abs/2302.10900 (2023) - [i7]Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin:
Personalized Elastic Embedding Learning for On-Device Recommendation. CoRR abs/2306.10532 (2023) - [i6]Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin:
HeteFedRec: Federated Recommender Systems with Model Heterogeneity. CoRR abs/2307.12810 (2023) - [i5]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 abs/2311.14968 (2023) - [i4]Hongzhi Yin, Tong Chen, Liang Qu, Bin Cui:
On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm. CoRR abs/2312.10864 (2023) - 2022
- [j13]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): 1-15 (2022) - [j12]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): 5432-5449 (2022) - [j11]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): 1267-1287 (2022) - [c12]Liang Qu, Yonghong Ye, Ningzhi Tang, Lixin Zhang, Yuhui Shi, Hongzhi Yin:
Single-shot Embedding Dimension Search in Recommender System. SIGIR 2022: 513-522 - [i3]Ruiqi Zheng, Liang Qu, Bin Cui, Yuhui Shi, Hongzhi Yin:
AutoML for Deep Recommender Systems: A Survey. CoRR abs/2203.13922 (2022) - [i2]Liang Qu, Yonghong Ye, Ningzhi Tang, Lixin Zhang, Yuhui Shi, Hongzhi Yin:
Single-shot Embedding Dimension Search in Recommender System. CoRR abs/2204.03281 (2022) - 2021
- [j10]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: 107372 (2021) - [j9]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): 2396-2406 (2021) - [j8]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): 1650-1663 (2021) - [c11]Liang Qu, Ruiqi Zheng, Yuhui Shi:
BSO-CMA-ES: Brain Storm Optimization Based Covariance Matrix Adaptation Evolution Strategy for Multimodal Optimization. DMBD (2) 2021: 167-174 - [c10]Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin:
ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks. KDD 2021: 1390-1398 - [i1]Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin:
ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks. CoRR abs/2106.02817 (2021) - 2020
- [c9]Liang Qu, Huaisheng Zhu, Yuhui Shi:
BSOGCN: Brain Storm Optimization Graph Convolutional Networks Based Heterogeneous Information Networks Embedding. CEC 2020: 1-7 - [c8]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: 3-14 - [c7]Liang Qu, Qiqi Duan, Jian Yang, Shi Cheng, Ruiqi Zheng, Yuhui Shi:
BSO-CLS: Brain Storm Optimization Algorithm with Cooperative Learning Strategy. ICSI 2020: 243-250 - [c6]Liang Qu, Huaisheng Zhu, Qiqi Duan, Yuhui Shi:
Continuous-Time Link Prediction via Temporal Dependent Graph Neural Network. WWW 2020: 3026-3032
2010 – 2019
- 2019
- [j7]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: 158-168 (2019) - [c5]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: 721-730 - [c4]Liang Qu, Yuhui Shi:
Gradient-free Algorithms for Graph Embedding. CEC 2019: 2746-2752 - [c3]Qiqi Duan, Liang Qu, Chang Shao, Yuhui Shi:
Hierarchical Decomposition based Cooperative Coevolution for Large-Scale Black-Box Optimization. SSCI 2019: 2690-2697 - 2018
- [j6]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): 3683-3698 (2018) - [j5]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): 6553-6567 (2018) - 2017
- [j4]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): 1437-1446 (2017) - [c2]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: 318-323 - 2016
- [j3]Guodong Wang, Zhanwen Niu, Shanshan Lv, Liang Qu, Zhen He:
Bootstrapping Analysis of Lifetime Data with Subsampling. Qual. Reliab. Eng. Int. 32(5): 1945-1953 (2016) - 2014
- [j2]Liang Qu, Zhang Wu, Michael B. C. Khoo, Abdur Rahim:
Time-Between-Event Control Charts for Sampling Inspection. Technometrics 56(3): 336-346 (2014) - 2011
- [j1]Liang Qu, Zhang Wu, Tien-I Liu:
A control scheme integrating the T chart and TCUSUM chart. Qual. Reliab. Eng. Int. 27(4): 529-539 (2011) - 2010
- [c1]Liang Qu, Xinghui Dong:
Enteromorpha Prolifera Detection in Aerial Images Based on Image Retrieval. WKDD 2010: 510-513
Coauthor Index
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