Liang Qu

80 papers A* 9A 3B 5Journal 53Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Federated Learning and Unlearning for Recommendation with Personalized Data Sharing.
CoRR
Liang Qu, Jianxin Li, Wei Yuan, Shangfei Zheng, Lu Chen, Chengfei Liu, Hongzhi Yin
2026 J jnl
Sparse Gradient Training for Recommender Systems.
Data Sci. Eng.
Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Jianxin Li, Hongzhi Yin
2026 J jnl
Towards On-device Personalization: Cloud-device Collaborative Data Augmentation for Efficient On-device Language Model.
ACM Trans. Intell. Syst. Technol.
Zhaofeng Zhong, Wei Yuan, Liang Qu, Tong Chen, Hao Wang, Xiangyu Zhao, Hongzhi Yin
2025 J jnl
AI-Generated Content in Cross-Domain Applications: Research Trends, Challenges and Propositions.
CoRR
Jianxin Li, Liang Qu, Taotao Cai, Zhixue Zhao, Nur Al Hasan Haldar, Aneesh Krishna, Xiangjie Kong, Flavio Romero Macau, Tanmoy Chakraborty, Aniket Deroy, Binshan Lin, Karen Blackmore, Nasimul Noman, Jingxian Cheng, Ningning Cui, Jianliang Xu
2025 J jnl
AI-generated content in cross-domain applications: Research trends, challenges and propositions.
Knowl. Based Syst.
Jianxin Li, Liang Qu, Taotao Cai, Zhixue Zhao, Nur Al Hasan Haldar, Aneesh Krishna, Xiangjie Kong, Flavio Romero Macau, Tanmoy Chakraborty, Aniket Deroy, Binshan Lin, Karen Blackmore, Nasimul Noman, Jingxian Cheng, Ningning Cui, Jianliang Xu
2025 J jnl
Context-aware adaptive reinforcement learning for multi-hop knowledge graph reasoning in few-shot scenarios.
Knowl. Based Syst.
Shangfei Zheng, Xiaotong Nie, Wei Yuan, Liang Qu, Xiangjie Kong, Yuchao Zhang, Jian Hou
2025 J jnl
DecKG: Decentralized collaborative learning with knowledge graph enhancement for POI recommendation.
Inf. Sci.
Ruiqi Zheng, Liang Qu, Guanhua Ye, Tong Chen, Yuhui Shi, Hongzhi Yin
2025 A conf
Efficient Multimodal Streaming Recommendation via Expandable Side Mixture-of-Experts.
CIKM
Yunke Qu, Liang Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2025 J jnl
Efficient Multimodal Streaming Recommendation via Expandable Side Mixture-of-Experts.
CoRR
Yunke Qu, Liang Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2025 A conf
Harnessing Large Language Models for Group POI Recommendations.
CIKM
Jing Long, Liang Qu, Junliang Yu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2025 J jnl
M2Rec: Multi-scale Mamba for Efficient Sequential Recommendation.
CoRR
Qianru Zhang, Liang Qu, Honggang Wen, Dong Huang, Siu-Ming Yiu, Nguyen Quoc Viet Hung, Hongzhi Yin
2025 B conf
Metal Artifact Reduction Methods Using Deep Generative Models for Cultural Relics X-ray CT Images.
COMPSAC
Daxin Peng, Jianqiang Li, Liang Qu, Jing Huang, Xi Xu, Jianyu Liu, Zhenbin Xie, Qing Xiao, Xueyan Zhang, Junyu Zhao, Qixin Chen, Wenyi Liang
2025 J jnl
On-Device Recommender Systems: A Comprehensive Survey.
Data Sci. Eng.
Hongzhi Yin, Liang Qu, Tong Chen, Wei Yuan, Ruiqi Zheng, Jing Long, Xin Xia, Yuhui Shi, Chengqi Zhang
2025 J jnl
PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System.
ACM Trans. Inf. Syst.
Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Guanhua Ye, Hongzhi Yin
2025 J jnl
Proxy Model-Guided Reinforcement Learning for Client Selection in Federated Recommendation.
CoRR
Liang Qu, Jianxin Li, Wei Yuan, Penghui Ruan, Yuhui Shi, Hongzhi Yin
2025 J jnl
Robust federated contrastive recommender system against targeted model poisoning attack.
Sci. China Inf. Sci.
Wei Yuan, Chaoqun Yang, Liang Qu, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin
2025 J jnl
Towards On-Device Personalization: Cloud-device Collaborative Data Augmentation for Efficient On-device Language Model.
CoRR
Zhaofeng Zhong, Wei Yuan, Liang Qu, Tong Chen, Hao Wang, Xiangyu Zhao, Hongzhi Yin
2024 — conf
A Segmentation Network for Coastal Cegetation Guided by Category-Wighted Information from UAV Perspective Based on SAM.
ICPCSEE (1)
Liang Qu, Xiaoli Song, Kelei Yuan, Zhen Liu, Shize Shao, Jiehong Sun, Guanghao Yuan, Jianing Sun, Wenxin Jiang, Shengke Wang
2024 J jnl
Automated Similarity Metric Generation for Recommendation.
CoRR
Liang Qu, Yun Lin, Wei Yuan, Xiaojun Wan, Yuhui Shi, Hongzhi Yin
2024 J jnl
Brain Storm Optimization Based Swarm Learning for Diabetic Retinopathy Image Classification.
CoRR
Liang Qu, Cunze Wang, Yuhui Shi
2024 B conf
Brain Storm Optimization based Swarm Learning for Diabetic Retinopathy Image Classification.
CEC
Liang Qu, Cunze Wang, Yuhui Shi
2024 J jnl
DecKG: Decentralized Collaborative Learning with Knowledge Graph Enhancement for POI Recommendation.
CoRR
Ruiqi Zheng, Liang Qu, Guanhua Ye, Tong Chen, Yuhui Shi, Hongzhi Yin
2024 A* conf
Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation.
WWW
Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin
2024 J jnl
Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation.
CoRR
Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin
2024 — conf
GAN-Based Defogging and Multiscale Fusion Approach for UAV-Based Seagrass Bed Imagery Semantic Segmentation in Challenging Marine Environments.
ICPCSEE (1)
Liang Qu, Xiaoli Song, Mengmeng Zhang, Juan Wang, Ruobing Wen, Shengke Wang
2024 A* conf
HeteFedRec: Federated Recommender Systems with Model Heterogeneity.
ICDE
Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin
2024 A* conf
Hide Your Model: A Parameter Transmission-free Federated Recommender System.
ICDE
Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin
2024 J jnl
On-Device Recommender Systems: A Comprehensive Survey.
CoRR
Hongzhi Yin, Liang Qu, Tong Chen, Wei Yuan, Ruiqi Zheng, Jing Long, Xin Xia, Yuhui Shi, Chengqi Zhang
2024 — conf
On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm.
WWW (Companion Volume)
Hongzhi Yin, Tong Chen, Liang Qu, Bin Cui
2024 J jnl
Optimal step stress accelerated degradation tests with the bivariate inverse Gaussian process.
Qual. Reliab. Eng. Int.
Liang Qu, Jin Li, Xiujie Zhao, Min Zhang, Zhenyu Lv
2024 — conf
PDC-FRS: Privacy-Preserving Data Contribution for Federated Recommender System.
ADMA (6)
Chaoqun Yang, Wei Yuan, Liang Qu, Thanh Tam Nguyen
2024 J jnl
PDC-FRS: Privacy-preserving Data Contribution for Federated Recommender System.
CoRR
Chaoqun Yang, Wei Yuan, Liang Qu, Thanh Tam Nguyen
2024 J jnl
PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System.
CoRR
Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Guanhua Ye, Hongzhi Yin
2024 J jnl
Personalized Elastic Embedding Learning for On-Device Recommendation.
IEEE Trans. Knowl. Data Eng.
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
2024 A* conf
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures.
SIGIR
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
2024 J jnl
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures.
CoRR
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
2024 J jnl
Robust Federated Contrastive Recommender System against Model Poisoning Attack.
CoRR
Wei Yuan, Chaoqun Yang, Liang Qu, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 A conf
Scalable Dynamic Embedding Size Search for Streaming Recommendation.
CIKM
Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 J jnl
Scalable Dynamic Embedding Size Search for Streaming Recommendation.
CoRR
Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 J jnl
Sparser Training for On-Device Recommendation Systems.
CoRR
Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Jianxin Li, Hongzhi Yin
2024 A* conf
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation.
WWW
Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin
2024 J jnl
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation.
CoRR
Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin
2024 J jnl
Unleashing the Power of Large Language Models for Group POI Recommendations.
CoRR
Jing Long, Liang Qu, Guanhua Ye, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 J jnl
Virtual Restoration of Ancient Mold-Damaged Painting Based on 3D Convolutional Neural Network for Hyperspectral Image.
Remote. Sens.
Sa Wang, Yi Cen, Liang Qu, Guanghua Li, Yao Chen, Lifu Zhang
2023 J jnl
AutoML for Deep Recommender Systems: A Survey.
ACM Trans. Inf. Syst.
Ruiqi Zheng, Liang Qu, Bin Cui, Yuhui Shi, Hongzhi Yin
2023 J jnl
HeteFedRec: Federated Recommender Systems with Model Heterogeneity.
CoRR
Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin
2023 J jnl
Hide Your Model: A Parameter Transmission-free Federated Recommender System.
CoRR
Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin
2023 J jnl
On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm.
CoRR
Hongzhi Yin, Tong Chen, Liang Qu, Bin Cui
2023 J jnl
Personalized Elastic Embedding Learning for On-Device Recommendation.
CoRR
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
2023 A* conf
Semi-decentralized Federated Ego Graph Learning for Recommendation.
WWW
Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin
2023 J jnl
Semi-decentralized Federated Ego Graph Learning for Recommendation.
CoRR
Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin
2023 J jnl
Video Object Counting With Scene-Aware Multi-Object Tracking.
J. Database Manag.
Yongdong Li, Liang Qu, Guiyan Cai, Guoan Cheng, Long Qian, Yuling Dou, Fengqin Yao, Shengke Wang
2022 J jnl
A nonparametric CUSUM scheme for monitoring multivariate time-between-events-and-amplitude data with application to automobile painting.
Int. J. Prod. Res.
Zhen He, Yuan Gao, Liang Qu, Zhiqiong Wang
2022 J jnl
AutoML for Deep Recommender Systems: A Survey.
CoRR
Ruiqi Zheng, Liang Qu, Bin Cui, Yuhui Shi, Hongzhi Yin
2022 J jnl
Relationships between fluctuations of environmental regulation, technological innovation, and economic growth: a multinational perspective.
J. Enterp. Inf. Manag.
Zaiyang Xie, Liang Qu, Runhui Lin, Qiutong Guo
2022 J jnl
Semisupervised Surveillance Video Character Extraction and Recognition With Attentional Learning Multiframe Fusion.
Int. J. Digit. Crime Forensics
Guiyan Cai, Liang Qu, Yongdong Li, Guoan Cheng, Xin Lu, Yiqi Wang, Fengqin Yao, Shengke Wang
2022 A* conf
Single-shot Embedding Dimension Search in Recommender System.
SIGIR
Liang Qu, Yonghong Ye, Ningzhi Tang, Lixin Zhang, Yuhui Shi, Hongzhi Yin
2022 J jnl
Single-shot Embedding Dimension Search in Recommender System.
CoRR
Liang Qu, Yonghong Ye, Ningzhi Tang, Lixin Zhang, Yuhui Shi, Hongzhi Yin
2021 J jnl
A new risk-adjusted EWMA control chart based on survival time for monitoring surgical outcome quality.
Qual. Reliab. Eng. Int.
Ning Ding, Zhen He, Liangxing Shi, Liang Qu
2021 J jnl
Analysis of Binding Modes of Antigen-Antibody Complexes by Molecular Mechanics Calculation.
J. Chem. Inf. Model.
Liang Qu, Xinyue Qiao, Fei Qi, Noritaka Nishida, Tyuji Hoshino
2021 — conf
BSO-CMA-ES: Brain Storm Optimization Based Covariance Matrix Adaptation Evolution Strategy for Multimodal Optimization.
DMBD (2)
Liang Qu, Ruiqi Zheng, Yuhui Shi
2021 A* conf
ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks.
KDD
Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin
2021 J jnl
ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks.
CoRR
Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin
2021 J jnl
Joint monitoring of post-sales online review processes based on a distribution-free EWMA scheme.
Comput. Ind. Eng.
Texian Zhang, Zhen He, Xiujie Zhao, Liang Qu
2020 — conf
BSO-CLS: Brain Storm Optimization Algorithm with Cooperative Learning Strategy.
ICSI
Liang Qu, Qiqi Duan, Jian Yang, Shi Cheng, Ruiqi Zheng, Yuhui Shi
2020 B conf
BSOGCN: Brain Storm Optimization Graph Convolutional Networks Based Heterogeneous Information Networks Embedding.
CEC
Liang Qu, Huaisheng Zhu, Yuhui Shi
2020 A* conf
Continuous-Time Link Prediction via Temporal Dependent Graph Neural Network.
WWW
Liang Qu, Huaisheng Zhu, Qiqi Duan, Yuhui Shi
2020 — conf
Swarm Intelligence in Data Science: Applications, Opportunities and Challenges.
ICSI
Jian Yang, Liang Qu, Yang Shen, Yuhui Shi, Shi Cheng, Junfeng Zhao, Xiaolong Shen
2019 J jnl
Accurate Ulva prolifera regions extraction of UAV images with superpixel and CNNs for ocean environment monitoring.
Neurocomputing
Shengke Wang, Lu Liu, Liang Qu, Changyin Yu, Yujuan Sun, Feng Gao, Junyu Dong
2019 B conf
Gradient-free Algorithms for Graph Embedding.
CEC
Liang Qu, Yuhui Shi
2019 — conf
Hierarchical Decomposition based Cooperative Coevolution for Large-Scale Black-Box Optimization.
SSCI
Qiqi Duan, Liang Qu, Chang Shao, Yuhui Shi
2019 B conf
When Cooperative Co-Evolution Meets Coordinate Descent: Theoretically Deeper Understandings and Practically Better Implementations.
CEC
Qiqi Duan, Chang Shao, Liang Qu, Yuhui Shi, Ben Niu
2018 J jnl
A CUSUM chart for detecting the intensity ratio of negative events.
Int. J. Prod. Res.
Liang Qu, Shuguang He, Michael B. C. Khoo, Philippe Castagliola
2018 J jnl
Exponential cumulative sums chart for detecting shifts in time-between-events.
Int. J. Prod. Res.
Liang Qu, Michael B. C. Khoo, Philippe Castagliola, Zhen He
2017 — conf
Improving object detection accuracy with region and regression based deep CNNs.
SPAC
Liang Qu, Shengke Wang, Na Yang, Long Chen, Lu Liu, Xiaoyan Zhang, Feng Gao, Junyu Dong
2017 J jnl
Lower Percentile Estimation of Accelerated Life Tests with Nonconstant Scale Parameter.
Qual. Reliab. Eng. Int.
Shanshan Lv, Zhanwen Niu, Guodong Wang, Liang Qu, Zhen He
2016 J jnl
Bootstrapping Analysis of Lifetime Data with Subsampling.
Qual. Reliab. Eng. Int.
Guodong Wang, Zhanwen Niu, Shanshan Lv, Liang Qu, Zhen He
2014 J jnl
Time-Between-Event Control Charts for Sampling Inspection.
Technometrics
Liang Qu, Zhang Wu, Michael B. C. Khoo, Abdur Rahim
2011 J jnl
A control scheme integrating the T chart and TCUSUM chart.
Qual. Reliab. Eng. Int.
Liang Qu, Zhang Wu, Tien-I Liu
2010 — conf
Enteromorpha Prolifera Detection in Aerial Images Based on Image Retrieval.
WKDD
Liang Qu, Xinghui Dong