Electricity Theft Detection Using Generative Models. - Qianru Zhang; Meng Zhang 010; Tinghuan Chen; Jinan Fan; Zhou Yang; Guoqing Li (ICTAI, 2018)

Formation control of multi-agent systems via event-triggered approach under independent position and velocity topologies. - Hangui Zhu; Zhen Li; Wenle Zhang; Qianru Zhang (SSCI, 2019)

PSDNet and DPDNet: Efficient channel expansion, Depthwise-Pointwise-Depthwise Inverted Bottleneck Block. - Guoqing Li; Meng Zhang 010; Qianru Zhang; Ziyang Chen; Wenzhao Liu; Jiaojie Li; Xuzhao Shen; Jianjun Li; Zhenyu Zhu; Chau Yuen (CoRR, 2019)

Recent advances in convolutional neural network acceleration. - Qianru Zhang; Meng Zhang 010; Tinghuan Chen; Zhifei Sun; Yuzhe Ma; Bei Yu 001 (Neurocomputing, 2019)

Problems and Suggestions in the Initial Construction of Running Campuses in Different Places. - Xiang Xie; Qianru Zhang; Haihong Su (HCI (36), 2020)

Deep Learning Based Defect Detection for Solder Joints on Industrial X-Ray Circuit Board Images. - Qianru Zhang; Meng Zhang 010; Chinthaka Gamanayake; Chau Yuen; Zehao Geng; Hirunima Jayasekaraand; Xuewen Zhang; Chia-wei Woo; Jenny Chen Ni Low; Xiang Liu 001 (INDIN, 2020)

Building Auto-Encoder Intrusion Detection System based on random forest feature selection. - XuKui Li; Wei Chen 006; Qianru Zhang; Lifa Wu (Comput. Secur., 2020)

Parallel Extraction of Long-term Trends and Short-term Fluctuation Framework for Multivariate Time Series Forecasting. - Haoyan Xu; Ziheng Duan; Yida Huang; Jie Feng 006; Anni Ren; Qianru Zhang; Pengyu Song; Xiaoqian Wang 001 (CoRR, 2020)

Modeling Complex Spatial Patterns with Temporal Features via Heterogenous Graph Embedding Networks. - Yida Huang; Haoyan Xu; Ziheng Duan; Anni Ren; Jie Feng 006; Qianru Zhang; Xiaoqian Wang 001 (CoRR, 2020)

Multivariate Time Series Classification with Hierarchical Variational Graph Pooling. - Haoyan Xu; Ziheng Duan; Yunsheng Bai; Yida Huang; Anni Ren; Qianru Yu; Qianru Zhang; Yueyang Wang; Xiaoqian Wang 001; Yizhou Sun; Wei Wang 010 (CoRR, 2020)

Robust deep auto-encoding Gaussian process regression for unsupervised anomaly detection. - Jinan Fan; Qianru Zhang; Jialei Zhu; Meng Zhang 010; Zhou Yang; Hanxiang Cao (Neurocomputing, 2020)

Model reduction-based initialization methods for solving the Poisson-Nernst-Plank equations in three-dimensional ion channel simulations. - Qianru Zhang; Sheng Gui; Hongliang Li; Benzhuo Lu (J. Comput. Phys., 2020)

Error-Bounded Online Trajectory Simplification with Multi-Agent Reinforcement Learning. - Zheng Wang 046; Cheng Long 001; Gao Cong; Qianru Zhang (KDD, 2021)

An inverse averaging finite element method for solving the size-modified Poisson-Nernst-Planck equations in ion channel simulations. - Ruigang Shen; Qianru Zhang; Benzhuo Lu (CoRR, 2021)

Graph partitioning and graph neural network based hierarchical graph matching for graph similarity computation. - Haoyan Xu; Ziheng Duan; Yueyang Wang; Jie Feng 006; Runjian Chen; Qianru Zhang; Zhongbin Xu (Neurocomputing, 2021)

On Inferring User Socioeconomic Status with Mobility Records. - Zheng Wang 046; Mingrui Liu; Cheng Long 001; Qianru Zhang; Jiangneng Li; Chunyan Miao (IEEE Big Data, 2022)

On Predicting and Generating a Good Break Shot in Billiards Sports. - Qianru Zhang; Zheng Wang 046; Cheng Long 001; Siu-Ming Yiu (SDM, 2022)

Basic motion behavior recognition of single dairy cow based on improved Rexnet 3D network. - Shuaifei Ma; Qianru Zhang; Tengfei Li; Huaibo Song (Comput. Electron. Agric., 2022)

Automated measurement of dairy cows body size via 3D point cloud data analysis. - Guangyuan Yang; Xingshi Xu; Lei Song; Qianru Zhang; Yuanchao Duan; Huaibo Song (Comput. Electron. Agric., 2022)

A class of finite element methods with averaging techniques for solving the three-dimensional drift-diffusion model in semiconductor device simulations. - Qianru Zhang; Qin Wang; Linbo Zhang; Benzhuo Lu (J. Comput. Phys., 2022)

Efficient binary 3D convolutional neural network and hardware accelerator. - Guoqing Li; Meng Zhang 010; Qianru Zhang; Zhijian Lin (J. Real Time Image Process., 2022)

OGCNet: Overlapped group convolution for deep convolutional neural networks. - Guoqing Li; Meng Zhang 010; Jingwei Zhang; Qianru Zhang (Knowl. Based Syst., 2022)

An Efficient Sharing Grouped Convolution via Bayesian Learning. - Tinghuan Chen; Bin Duan; Qi Sun 002; Meng Zhang 010; Guoqing Li; Hao Geng; Qianru Zhang; Bei Yu 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

A structure-preserving finite element discretization for the time-dependent Nernst-Planck equation. - Qianru Zhang; Bin Tu; Qiaojun Fang; Benzhuo Lu (J. Appl. Math. Comput., 2022)

Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning. - Qianru Zhang; Zheng Wang 046; Cheng Long 001; Chao Huang 001; Siu-Ming Yiu; Yiding Liu; Gao Cong; Jieming Shi 001 (ICDE, 2023)

Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation. - Qianru Zhang; Chao Huang 001; Lianghao Xia; Zheng Wang 046; Siu Ming Yiu; Ruihua Han (ICML, 2023)

Automated Spatio-Temporal Graph Contrastive Learning. - Qianru Zhang; Chao Huang 001; Lianghao Xia; Zheng Wang 046; Zhonghang Li; Siu-Ming Yiu (WWW, 2023)

Using an improved YOLOv5s network for the automatic detection of silicon on wheat straw epidermis of micrographs. - Qianru Zhang; Yunfei Wang; Lei Song; Mengxuan Han; Huaibo Song (J. Field Robotics, 2023)

RDA: An Accelerated Collision Free Motion Planner for Autonomous Navigation in Cluttered Environments. - Ruihua Han; Shuai Wang 004; Shuaijun Wang; Zeqing Zhang; Qianru Zhang; Yonina C. Eldar; Qi Hao; Jia Pan 001 (IEEE Robotics Autom. Lett., 2023)

Detecting Anomalous Solder Joints in Multi-sliced PCB X-ray Images: A Deep Learning Based Approach. - Hirunima Jayasekara; Qianru Zhang; Chau Yuen; Meng Zhang 010; Chia-wei Woo; Jenny Chen Ni Low (SN Comput. Sci., 2023)

Improving Factual Error Correction by Learning to Inject Factual Errors. - Xingwei He 003; Qianru Zhang; A-Long Jin; Jun Ma; Yuan Yuan; Siu Ming Yiu (AAAI, 2024)

Graph Augmentation for Recommendation. - Qianru Zhang; Lianghao Xia; Xuheng Cai; Siu-Ming Yiu; Chao Huang 001; Christian S. Jensen (ICDE, 2024)

Design of a Wearable EEG Signal Acquisition System for Brain-Computer Interaction. - Fei Fei; Yiqi Wu; Ruonan Yang; Lizhi Mao; Qianru Zhang (ICIRA (3), 2024)

A Survey of Generative Techniques for Spatial-Temporal Data Mining. - Qianru Zhang; Haixin Wang 003; Cheng Long 001; Liangcai Su; Xingwei He 003; Jianlong Chang; Tailin Wu; Hongzhi Yin; Siu-Ming Yiu; Qi Tian 001; Christian S. Jensen (CoRR, 2024)

TUBench: Benchmarking Large Vision-Language Models on Trustworthiness with Unanswerable Questions. - Xingwei He 003; Qianru Zhang; A-Long Jin; Yuan Yuan; Siu-Ming Yiu (CoRR, 2024)

Graph Masked Autoencoder for Spatio-Temporal Graph Learning. - Qianru Zhang; Haixin Wang 003; Siu-Ming Yiu; Hongzhi Yin (CoRR, 2024)

Billiards Sports Analytics: Datasets and Tasks. - Qianru Zhang; Zheng Wang 046; Cheng Long 001; Siu-Ming Yiu (ACM Trans. Knowl. Discov. Data, 2024)

Efficient Traffic Prediction Through Spatio-Temporal Distillation. - Qianru Zhang; Xinyi Gao 001; Haixin Wang 003; Siu Ming Yiu; Hongzhi Yin (AAAI, 2025)

HemaCisDB: An Interactive Database for Analyzing Cis-regulatory Elements Across Hematopoietic Malignancies. - Xin-ping Cai; Qianru Zhang; Bolin Liu; Lulu Sun; Yuxuan Li (Genom. Proteom. Bioinform., 2025)

Low-Rank Adaptation for Foundation Models: A Comprehensive Review. - Menglin Yang 001; Jialin Chen; Yifei Zhang; Jiahong Liu 001; Jiasheng Zhang; Qiyao Ma; Harshit Verma; Qianru Zhang; Min Zhou 006; Irwin King; Rex Ying (CoRR, 2025)

Beyond the Time Domain: Recent Advances on Frequency Transforms in Time Series Analysis. - Qianru Zhang; Peng Yang 016; Honggang Wen; Xinzhu Li; Haixin Wang 003; Fang Sun; Zezheng Song; Zhichen Lai; Rui Ma; Ruihua Han; Tailin Wu; Siu-Ming Yiu; et al. (CoRR, 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)

HMamba: Hyperbolic Mamba for Sequential Recommendation. - Qianru Zhang; Honggang Wen; Wei Yuan 003; Crystal Chen; Menglin Yang 005; Siu-Ming Yiu; Hongzhi Yin (CoRR, 2025)

EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code. - Yuhao Qing; Boyu Zhu; Mingzhe Du; Zhijiang Guo; Terry Yue Zhuo; Qianru Zhang; Jie M. Zhang; Heming Cui; Siu-Ming Yiu; Dong Huang 005; See-Kiong Ng; Luu Anh Tuan (CoRR, 2025)

AutoHFormer: Efficient Hierarchical Autoregressive Transformer for Time Series Prediction. - Qianru Zhang; Honggang Wen; Ming Li 065; Dong Huang 005; Siu-Ming Yiu; Christian S. Jensen; Pietro Liò (CoRR, 2025)

A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security. - Qianru Zhang; Peng Yang 016; Junliang Yu; Haixin Wang 003; Xingwei He 003; Siu-Ming Yiu; Hongzhi Yin (IEEE Trans. Knowl. Data Eng., 2025)

FLDmamba: Integrating Fourier and Laplace Transform Decomposition with Mamba for Enhanced Time Series Prediction. - Qianru Zhang; Chenglei Yu; Haixin Wang 003; Yudong Yan; Yuansheng Cao; Siu-Ming Yiu; Tailin Wu; Hongzhi Yin (CoRR, 2025)

Benchmarking LLMs for Unit Test Generation from Real-World Functions. - Dong Huang 005; Jie M. Zhang; Mark Harman; Qianru Zhang; Mingzhe Du; See-Kiong Ng (CoRR, 2025)