Advance selling and internet intermediary: travel distribution strategies in the e-commerce age. - Zhe Qu (ICEC, 2007)

Software Design Strategies in Markets with Open Source Competitors. - Zhe Qu (ICIS, 2008)

Determinants of online merchant rating: Content analysis of consumer comments about Yahoo merchants. - Zhe Qu; Han Zhang 001; Haizheng Li (Decis. Support Syst., 2008)

Differentiation With Shared Features And Cannibalization Of Information Goods. - Xueqi Wei; Zhe Qu; Zhaoran Xu; Lihua Huang (PACIS, 2011)

Design and Implementation of an Intelligent Automatic Question Answering System Based on Data Mining. - Zhe Qu; Qin Wang (ICSI (2), 2012)

Adaptive mobile web interface: user readiness in context. - Zhe Qu; Jun Sun 013 (Int. J. Mob. Commun., 2012)

A High Efficient Real Time Data Aggregation Algorithm for WSNs. - Tao Du 002; Shouning Qu; Qingbei Guo; Zhe Qu (BDCloud, 2014)

A High Efficient and Real Time Data Aggregation Scheme for WSNs. - Tao Du 002; Zhe Qu; Qingbei Guo; Shouning Qu (Int. J. Distributed Sens. Networks, 2015)

An Energy Efficient Anchor-Free Localization Algorithm for No-Identity Wireless Sensor Networks. - Zhe Qu; Minglei Shu; Ming Yang; Chongqing Zhang; Nuo Wei; Qingbei Guo; Tao Du 002 (Int. J. Distributed Sens. Networks, 2015)

Understanding health information technology adoption: A synthesis of literature from an activity perspective. - Jun Sun 013; Zhe Qu (Inf. Syst. Frontiers, 2015)

A novel night vision image color fusion method based on scene recognition. - Zhe Qu; Gang Xiao; Ningwen Xu; Zhuoran Diao; Jia-Zhou He (FUSION, 2016)

Is Fake News Profitable? The Effect of Distorting Pre-IPO Financing on IPO Performance of Internet Firms. - Yahui Sun 004; Jin Zhou; Zhe Qu; Cheng Zhang 001 (ICIS, 2017)

How and When Do Subnational Institutions Matter for R&D Investment? Evidence From the Chinese Pharmaceutical Sector. - Pei Sun; Zhe Qu; Zhixiang Liao (IEEE Trans. Engineering Management, 2018)

How Do Assurance Mechanisms Interact in Online Marketplaces? A Signaling Perspective. - Youwei Wang; Zhe Qu; Bernard C. Y. Tan (IEEE Trans. Engineering Management, 2018)

Spectrum Tomography Attacks: Inferring Spectrum Allocation Mechanisms in Multicarrier Systems. - Shangqing Zhao; Zhe Qu; Zhuo Lu; Tao Wang 026 (DySPAN, 2019)

CDPA: Common and Distinctive Pattern Analysis between High-dimensional Datasets. - Zhe Qu; Hai Shu (CoRR, 2019)

Frontiers: Machines vs. Humans: The Impact of Artificial Intelligence Chatbot Disclosure on Customer Purchases. - Xueming Luo; Siliang Tong; Zheng Fang 003; Zhe Qu (Mark. Sci., 2019)

Security of HPC Systems: From a Log-analyzing Perspective. - Zhengping Luo 001; Zhe Qu; Tung Thanh Nguyen; Hui Zeng; Zhuo Lu (EAI Endorsed Trans. Security Safety, 2019)

ProTO: Proactive Topology Obfuscation Against Adversarial Network Topology Inference. - Tao Hou 001; Zhe Qu; Tao Wang 026; Zhuo Lu; Yao Liu 007 (INFOCOM, 2020)

Comb Decoding towards Collision-Free WiFi. - Shangqing Zhao; Zhe Qu; Zhengping Luo 001; Zhuo Lu; Yao Liu 007 (NSDI, 2020)

D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multiple High-dimensional Datasets. - Hai Shu; Zhe Qu; Hongtu Zhu (CoRR, 2020)

Firm actions, user engagement, and firm performance: A mediated model with evidences from internet service firms. - Cheng Zhang 001; Peijian Song; Zhe Qu; Ling Xue; Jiaoyang Li 005 (Inf. Manag., 2020)

Global village or virtual balkans? evolution and performance of scientific collaboration in the information age. - Xinlin Yao; Cheng Zhang 001; Zhe Qu; Bernard C. Y. Tan (J. Assoc. Inf. Sci. Technol., 2020)

Complementarity and Cannibalization of Offline-to-Online Targeting: A Field Experiment on Omnichannel Commerce. - Xueming Luo; Yuchi Zhang; Fue Zeng; Zhe Qu (MIS Q., 2020)

Stragglers Are Not Disaster: A Hybrid Federated Learning Algorithm with Delayed Gradients. - Xingyu Li; Zhe Qu; Bo Tang 011; Zhuo Lu (CoRR, 2021)

FedLGA: Towards System-Heterogeneity of Federated Learning via Local Gradient Approximation. - Xingyu Li; Zhe Qu; Bo Tang 011; Zhuo Lu (CoRR, 2021)

Flexible Hybrid Electronics for Monitoring Hypoxia. - Haicheng Li; Zhouheng Wang; Zhe Qu; Ziwei Liang; Ying Chen; Yinji Ma; Xue Feng (IEEE Trans. Biomed. Circuits Syst., 2021)

How to Test the Randomness From the Wireless Channel for Security? - Zhe Qu; Shangqing Zhao; Jie Xu 001; Zhuo Lu; Yao Liu 007 (IEEE Trans. Inf. Forensics Secur., 2021)

Disease Risk Prediction via Heterogeneous Graph Attention Networks. - Zhe Qu; Lizhen Cui; Yonghui Xu (BIBM, 2022)

Perception-Aware Attack: Creating Adversarial Music via Reverse-Engineering Human Perception. - Rui Duan; Zhe Qu; Shangqing Zhao; Leah Ding; Yao Liu 007; Zhuo Lu (CCS, 2022)

Generalized Federated Learning via Sharpness Aware Minimization. - Zhe Qu; Xingyu Li; Rui Duan; Yao Liu 007; Bo Tang 011; Zhuo Lu (ICML, 2022)

Stragglers Are Not Disasters: A Hybrid Federated Learning Framework with Delayed Gradients. - Xingyu Li; Zhe Qu; Bo Tang 011; Zhuo Lu (ICMLA, 2022)

Modeling Global Distribution for Federated Learning with Label Distribution Skew. - Tao Sheng; Chengchao Shen; Yuan Liu; Yeyu Ou; Zhe Qu; Jianxin Wang 001 (CoRR, 2022)

Social Media Advertising through Private Messages and Public Feeds: A Congruency Effect between Communication Channels and Advertising Appeals. - Fue Zeng; Ruijuan Wang; Stella Yiyan Li; Zhe Qu (Inf. Manag., 2022)

Tobit model-based analysis on the influencing factors of wheat loss during harvesting by the combine harvester. - Hong Ji; Xun He; Li Ding; Zhe Qu; Wenkang Huang; Wanzhang Wang (J. Comput. Methods Sci. Eng., 2022)

D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data. - Hai Shu; Zhe Qu; Hongtu Zhu (J. Mach. Learn. Res., 2022)

Context-Aware Online Client Selection for Hierarchical Federated Learning. - Zhe Qu; Rui Duan; Lixing Chen; Jie Xu 001; Zhuo Lu; Yao Liu 007 (IEEE Trans. Parallel Distributed Syst., 2022)

Personalized federated adaptive regularization for heterogeneous medical image classification: COVID-19 CT results. - Yuan Liu; Zhe Qu; Shu Wang; Tao Sheng; Xiaoqing Yu; Jian-xin Wang 001 (BIBM, 2023)

How to Prevent the Poor Performance Clients for Personalized Federated Learning? - Zhe Qu; Xingyu Li; Xiao Han; Rui Duan; Chengchao Shen; Lixing Chen (CVPR, 2023)

DP-MHAN: A Disease Prediction Method Based on Metapath Aggregated Heterogeneous Graph Attention Networks. - Zhe Qu; Lizhen Cui; Yonghui Xu (DASFAA (4), 2023)

Data-Driven Next-Generation Wireless Networking: Embracing AI for Performance and Security. - Jiahao Xue; Zhe Qu; Shangqing Zhao; Yao Liu 007; Zhuo Lu (ICCCN, 2023)

Inter-Instance Similarity Modeling for Contrastive Learning. - Chengchao Shen; Dawei Liu; Hao Tang; Zhe Qu; Jianxin Wang 001 (CoRR, 2023)

Breaking the Complexity Barrier in Compositional Minimax Optimization. - Jin Liu 012; Xiaokang Pan; Junwen Duan; Hongdong Li; Youqi Li; Zhe Qu (CoRR, 2023)

You Only Forward Once: Prediction and Rationalization in A Single Forward Pass. - Han Jiang; Junwen Duan; Zhe Qu; Jianxin Wang 001 (CoRR, 2023)

LoMar: A Local Defense Against Poisoning Attack on Federated Learning. - Xingyu Li; Zhe Qu; Shangqing Zhao; Bo Tang 011; Zhuo Lu; Yao Liu 007 (IEEE Trans. Dependable Secur. Comput., 2023)

Video frame interpolation via residual blocks and feature pyramid networks. - Xiaohui Yang; Haoran Zhang; Zhe Qu; Zhiquan Feng; Jinglan Tian (IET Image Process., 2023)

TMD Design by an Entropy Index for Seismic Control of Tall Shear-Bending Buildings. - Yumei Wang; Zhe Qu (Entropy, 2023)

Modeling global distribution for federated learning with label distribution skew. - Tao Sheng; Chengchao Shen; Yuan Liu; Yeyu Ou; Zhe Qu; Yixiong Liang; Jianxin Wang 001 (Pattern Recognit., 2023)

On the Convergence of Multi-Server Federated Learning With Overlapping Area. - Zhe Qu; Xingyu Li; Jie Xu 001; Bo Tang 011; Zhuo Lu; Yao Liu 007 (IEEE Trans. Mob. Comput., 2023)

Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization. - Jin Liu 012; Xiaokang Pan; Junwen Duan; Hongdong Li; Youqi Li; Zhe Qu (AAAI, 2024)

What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception. - Wanfang Su; Lixing Chen; Yang Bai 010; Xi Lin 003; Gaolei Li; Zhe Qu; Pan Zhou 001 (AAAI, 2024)

Global Contrastive Learning with High-Quality Data in Large Vision-Language Models for Pathological Question Answering. - Hulin Kuang; Suoni Liu; Haojie Zhang; Zhe Qu; Shichao Kan (BIBM, 2024)

Aligning Multimodal Biomedical Images and Language via One Large Vision-Language Model. - Haojie Zhang; Min Zeng; Jinfeng Ding; Yixiong Liang; Ruiqing Zheng; Zhe Qu; Min Li 007; Shichao Kan (BIBM, 2024)

MARE: Multi-Aspect Rationale Extractor on Unsupervised Rationale Extraction. - Han Jiang; Junwen Duan; Zhe Qu; Jianxin Wang 001 (EMNLP, 2024)

FedGCA: Global Consistent Augmentation Based Single-Source Federated Domain Generalization. - Yuan Liu; Shu Wang; Zhe Qu; Xingyu Li; Shichao Kan; Jianxin Wang 001 (ICME, 2024)

FedMMR: Multi-Modal Federated Learning via Missing Modality Reconstruction. - Shu Wang; Zhe Qu; Yuan Liu; Shichao Kan; Yixiong Liang; Jianxin Wang 001 (ICME, 2024)

Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to K-Level Stochastic Optimizations. - Xiaokang Pan; Xingyu Li; Jin Liu; Tao Sun; Kai Sun; Lixing Chen; Zhe Qu (ICML, 2024)

Parrot-Trained Adversarial Examples: Pushing the Practicality of Black-Box Audio Attacks against Speaker Recognition Models. - Rui Duan; Zhe Qu; Leah Ding; Yao Liu 007; Zhuo Lu (NDSS, 2024)

Guessing on Dominant Paths: Understanding the Limitation of Wireless Authentication Using Channel State Information. - Zhe Qu; Rui Duan; Xiao Han 009; Shangqing Zhao; Yao Liu 007; Zhuo Lu (SP, 2024)

Divide, Conquer, and Coalesce: Meta Parallel Graph Neural Network for IoT Intrusion Detection at Scale. - Hua Ding; Lixing Chen; Shenghong Li 001; Yang Bai 010; Pan Zhou 001; Zhe Qu (WWW, 2024)

Unsupervised Collaborative Metric Learning with Mixed-Scale Groups for General Object Retrieval. - Shichao Kan; Yuhai Deng; Yixiong Liang; Lihui Cen; Zhe Qu; Yigang Cen; Zhihai He (CoRR, 2024)

A Survey of Personalized Medicine Recommendation. - Fanglin Zhu; Lizhen Cui; Yonghui Xu; Zhe Qu; Zhiqi Shen 001 (Int. J. Crowd Sci., 2024)

FedLGA: Toward System-Heterogeneity of Federated Learning via Local Gradient Approximation. - Xingyu Li; Zhe Qu; Bo Tang 011; Zhuo Lu (IEEE Trans. Cybern., 2024)

Video frame interpolation via spatial multi-scale modelling. - Zhe Qu; Weijing Liu; Lizhen Cui; Xiaohui Yang (IET Comput. Vis., 2024)

Bandwidth Allocation for Federated Learning With Wireless Providers and Cost Constraints. - Jiahao Xue; Zhe Qu; Jie Xu 001; Yao Liu 007; Zhuo Lu (IEEE Trans. Mob. Comput., 2024)

On Adaptive Edge Microservice Placement: A Reinforcement Learning Approach Endowed With Graph Comprehension. - Lixing Chen; Yang Bai 010; Pan Zhou 001; Youqi Li; Zhe Qu; Jie Xu 001 (IEEE Trans. Mob. Comput., 2024)

How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? - Wenjun Ding; Ying An; Lixing Chen; Shichao Kan; Fan Wu; Zhe Qu (AAAI, 2025)

ARIG-GCN: Anatomical Relationship and Isomorphic Graph Approximation Guided Graph Convolutional Network for Automated ASPECTS Scoring on Non-Contrast CT. - Ning Li; Zhe Qu; Jie Wang 067; Hulin Kuang (ICASSP, 2025)

A Clinical Knowledge-Driven Fine-Tuning Strategy for Applying Foundation Model to Fully Automatic Acute Ischemic Stroke Lesion Segmentation on Non-Contrast CT Scans. - Xianzhen Tan; Zhe Qu; Jie Wang 067; Hulin Kuang (ICASSP, 2025)

Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge Graph. - Yutong Zhang 003; Lixing Chen; Shenghong Li 001; Nan Cao 001; Yang Shi 007; Jiaxin Ding 001; Zhe Qu; Pan Zhou 001; Yang Bai 010 (KDD (1), 2025)

A unified Personalized Federated Learning framework ensuring Domain Generalization. - Yuan Liu; Zhe Qu; Shu Wang; Chengchao Shen; Yixiong Liang; Jianxin Wang 001 (Expert Syst. Appl., 2025)

Toward Collaborative Intelligence for Meta-Computing-Driven IIoT Based on Vertical Federated Learning With Fast Convergence. - Youqi Li; Shuangji Liu; Yanchen Meng; Shenyi Qi; Zhe Qu; Fan Li 001; Yu Wang 003 (IEEE Internet Things J., 2025)

Perception-Aware Attack Against Music Copyright Detection: Impacts and Defenses. - Rui Duan; Zhe Qu; Shangqing Zhao; Leah Ding; Yao Liu 007; Zhuo Lu (IEEE Trans. Dependable Secur. Comput., 2025)

Typological analysis of teachers' self-regulation based on conservation of resources theory: A new perspective on the success of blended instruction. - Hongjian Liao; Zhe Qu; Lin Yang; Huimin Wang; Qiaoyin Lin (Educ. Inf. Technol., 2025)

Contrastive Regularization over LoRA for Multimodal Biomedical Image Incremental Learning. - Haojie Zhang; Yixiong Liang; Hulin Kuang; Lihui Cen; Zhe Qu; Yigang Cen; Min Zeng; Shichao Kan (CoRR, 2025)