| 2026 | AAAI | Bi-level Personalization for Federated Foundation Models: A Task-vector Aggregation Approach. | Yiyuan Yang, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang |
| 2025 | CIKM | OASIS: Harnessing Diffusion Adversarial Network for Ocean Salinity Imputation using Sparse Drifter Trajectories. | Bo Li, Yingqi Feng, Ming Jin, Xin Zheng, Yufei Tang, Laurent M. Chrubin, Can Wang, Alan Wee-Chung Liew, Qinghua Lu, Jingwei Yao, Hong Zhang, Shirui Pan, Xingquan Zhu |
| 2025 | IJCAI | Federated Low-Rank Adaptation for Foundation Models: A Survey. | Yiyuan Yang, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang, Chengqi Zhang |
| 2025 | ICSA | Agentic RAG with Human-in-the-Retrieval. | Xiwei Xu, Dawen Zhang, Qing Liu, Qinghua Lu, Liming Zhu |
| 2025 | ICSA | Design Process for Retrieval Augmented Generation Systems. | Xiwei Xu, Dawen Zhang, Wenjie Zhang, Qinghua Lu, Liming Zhu |
| 2025 | ICSA | Swiss Cheese Model for AI Safety: A Taxonomy and Reference Architecture for Multi-Layered Guardrails of Foundation Model Based Agents. | Md. Shamsujjoha, Qinghua Lu, Dehai Zhao, Liming Zhu |
| 2025 | ICSE | DesignRepair: Dual-Stream Design Guideline-Aware Frontend Repair with Large Language Models. | Mingyue Yuan, Jieshan Chen, Zhenchang Xing, Aaron Quigley, Yuyu Luo, Tianqi Luo, Gelareh Mohammadi, Qinghua Lu, Liming Zhu |
| 2025 | ICSE | SeeAction: Towards Reverse Engineering How-What-Where of HCI Actions from Screencasts for UI Automation. | Dehai Zhao, Zhenchang Xing, Qinghua Lu, Xiwei Xu, Liming Zhu |
| 2025 | WWW | Beyond Dataset Watermarking: Model-Level Copyright Protection for Code Summarization Models. | Jiale Zhang, Haoxuan Li, Di Wu, Xiaobing Sun, Qinghua Lu, Guodong Long |
| 2024 | CAIN | A Taxonomy of Foundation Model based Systems through the Lens of Software Architecture. | Qinghua Lu, Liming Zhu, Xiwei Xu, Yue Liu, Zhenchang Xing, Jon Whittle |
| 2024 | CAIN | Towards a Responsible AI Metrics Catalogue: A Collection of Metrics for AI Accountability. | Boming Xia, Qinghua Lu, Liming Zhu, Sung Une Lee, Yue Liu, Zhenchang Xing |
| 2024 | CAIN | Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective. | Dawen Zhang, Boming Xia, Yue Liu, Xiwei Xu, Thong Hoang, Zhenchang Xing, Mark Staples, Qinghua Lu, Liming Zhu |
| 2024 | ICSA | Towards Responsible Generative AI: A Reference Architecture for Designing Foundation Model Based Agents. | Qinghua Lu, Liming Zhu, Xiwei Xu, Zhenchang Xing, Stefan Harrer, Jon Whittle |
| 2024 | ICSE | Enhancing Exploratory Testing by Large Language Model and Knowledge Graph. | Yanqi Su, Dianshu Liao, Zhenchang Xing, Qing Huang, Mulong Xie, Qinghua Lu, Xiwei Xu |
| 2024 | ICSE | Where is it? Tracing the Vulnerability-relevant Files from Vulnerability Reports. | Jiamou Sun, Jieshan Chen, Zhenchang Xing, Qinghua Lu, Xiwei Xu, Liming Zhu |
| 2024 | ICSE | Hard to Read and Understand Pythonic Idioms? DeIdiom and Explain Them in Non-Idiomatic Equivalent Code. | Zejun Zhang, Zhenchang Xing, Dehai Zhao, Qinghua Lu, Xiwei Xu, Liming Zhu |
| 2023 | AAAI | Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. | Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang |
| 2023 | CAIN | Towards Concrete and Connected AI Risk Assessment (C | Boming Xia, Qinghua Lu, Harsha Perera, Liming Zhu, Zhenchang Xing, Yue Liu, Jon Whittle |
| 2023 | CIKM | FVW: Finding Valuable Weight on Deep Neural Network for Model Pruning. | Zhiyu Zhu, Huaming Chen, Zhibo Jin, Xinyi Wang, Jiayu Zhang, Minhui Xue, Qinghua Lu, Jun Shen, Kim-Kwang Raymond Choo |
| 2023 | CIKM | Improving Adversarial Transferability via Frequency-based Stationary Point Search. | Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Qinghua Lu, Jun Shen, Kim-Kwang Raymond Choo |
| 2023 | IJCNN | Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects. | Conrad Sanderson, David Douglas, Qinghua Lu |
| 2023 | ICSA | A Pattern-Oriented Reference Architecture for Governance-Driven Blockchain Systems. | Yue Liu, Qinghua Lu, Guangsheng Yu, Hye-Young Paik, Liming Zhu |
| 2023 | ICSE | SoapOperaTG: A Tool for System Knowledge Graph Based Soap Opera Test Generation. | Yanqi Su, Zheming Han, Zhenchang Xing, Xiwei Xu, Liming Zhu, Qinghua Lu |
| 2023 | ICSE | A Multi-faceted Vulnerability Searching Website Powered by Aspect-level Vulnerability Knowledge Graph. | Jiamou Sun, Zhenchang Xing, Qinghua Lu, Xiwei Xu, Liming Zhu |
| 2023 | ICSE | Silent Vulnerable Dependency Alert Prediction with Vulnerability Key Aspect Explanation. | Jiamou Sun, Zhenchang Xing, Qinghua Lu, Xiwei Xu, Liming Zhu, Thong Hoang, Dehai Zhao |
| 2023 | ICSE | An Empirical Study on Software Bill of Materials: Where We Stand and the Road Ahead. | Boming Xia, Tingting Bi, Zhenchang Xing, Qinghua Lu, Liming Zhu |
| 2023 | ICSE | Faster or Slower? Performance Mystery of Python Idioms Unveiled with Empirical Evidence. | Zejun Zhang, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu, Qinghua Lu |
| 2023 | MSR | What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues. | Zhou Yang, Chenyu Wang, Jieke Shi, Thong Hoang, Pavneet Singh Kochhar, Qinghua Lu, Zhenchang Xing, David Lo |
| 2023 | RE | Human Value Requirements in AI Systems: Empirical Analysis of Amazon Alexa. | Rifat Ara Shams, Muneera Bano, Didar Zowghi, Qinghua Lu, Jon Whittle |
| 2023 | UIST | Unveiling the Tricks: Automated Detection of Dark Patterns in Mobile Applications. | Jieshan Chen, Jiamou Sun, Sidong Feng, Zhenchang Xing, Qinghua Lu, Xiwei Xu, Chunyang Chen |
| 2022 | AAAI | FedProto: Federated Prototype Learning across Heterogeneous Clients. | Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Qinghua Lu, Jing Jiang, Chengqi Zhang |
| 2022 | CAIN | Towards a roadmap on software engineering for responsible AI. | Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, Zhenchang Xing |
| 2022 | EASE | Performance Modeling of Hyperledger Fabric 2.0. | Ou Wu, Shanshan Li, Liwen Liu, He Zhang, Xin Zhou, Qinghua Lu |
| 2022 | EuroPLop | A Pattern Language for Blockchain Governance. | Yue Liu, Qinghua Lu, Guangsheng Yu, Hye-Young Paik, Harsha Perera, Liming Zhu |
| 2022 | ICSE | Software engineering for Responsible AI: An empirical study and operationalised patterns. | Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, David Douglas, Conrad Sanderson |
| 2022 | ICSE | Dependency Tracking for Risk Mitigation in Machine Learning (ML) Systems. | Xiwei Xu, Chen Wang, Zhen Wang, Qinghua Lu, Liming Zhu |
| 2021 | ECSA | FLRA: A Reference Architecture for Federated Learning Systems. | Sin Kit Lo, Qinghua Lu, Hye-Young Paik, Liming Zhu |
| 2021 | EuroPLop | Patterns for Blockchain-Based Payment Applications. | Qinghua Lu, Xiwei Xu, H. M. N. Dilum Bandara, Shiping Chen, Liming Zhu |
| 2021 | IJCNN | CellNet: An Improved Neural Architecture Search Method for Coal and Gangue Classification. | Lirong Sun, Wenbo Zhu, Qinghua Lu, Aiyuan Li, Lufeng Luo, Jianwen Chen, Jinhai Wang |
| 2021 | ICSA | A Decision Model for Choosing Patterns in Blockchain-Based Applications. | Xiwei Xu, H. M. N. Dilum Bandara, Qinghua Lu, Ingo Weber, Len Bass, Liming Zhu |
| 2020 | AAAI | Going Deep: Graph Convolutional Ladder-Shape Networks. | Ruiqi Hu, Shirui Pan, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang |
| 2020 | EuroPLop | Design Patterns for Blockchain-based Self-Sovereign Identity. | Yue Liu, Qinghua Lu, Hye-Young Paik, Xiwei Xu |
| 2020 | ICBC | Understanding and Handling Blockchain Uncertainties. | Xiwei Xu, H. M. N. Dilum Bandara, Qinghua Lu, Dawen Zhang, Liming Zhu |
| 2020 | TrustCom | Blockchain-based Verifiable Credential Sharing with Selective Disclosure. | Rahma Mukta, James Martens, Hye-Young Paik, Qinghua Lu, Salil S. Kanhere |
| 2019 | ICBC | Digital-Physical Parity for Food Fraud Detection. | Sin Kuang Lo, Xiwei Xu, Chen Wang, Ingo Weber, Paul Rimba, Qinghua Lu, Mark Staples |
| 2019 | ICSA | A Platform Architecture for Multi-Tenant Blockchain-Based Systems. | Ingo Weber, Qinghua Lu, An Binh Tran, Amit Deshmukh, Marek Grski, Markus Strazds |
| 2018 | BPM | Lorikeet: A Model-Driven Engineering Tool for Blockchain-Based Business Process Execution and Asset Management. | An Binh Tran, Qinghua Lu, Ingo Weber |
| 2018 | EuroPLop | A Pattern Collection for Blockchain-based Applications. | Xiwei Xu, Cesare Pautasso, Liming Zhu, Qinghua Lu, Ingo Weber |
| 2018 | ICBC | Applying Design Patterns in Smart Contracts - A Case Study on a Blockchain-Based Traceability Application. | Yue Liu, Qinghua Lu, Xiwei Xu, Liming Zhu, Haonan Yao |
| 2018 | ICDM | Design Pattern as a Service for Blockchain Applications. | Qinghua Lu, Xiwei Xu, Yue Liu, Weishan Zhang |
| 2017 | AINA | Performance Overhead Comparison between Hypervisor and Container Based Virtualization. | Zheng Li, Maria Kihl, Qinghua Lu, Jens A. Andersson |
| 2017 | DASC | An Online-Offline Combined Big Data Mining Platform. | Weishan Zhang, Hao Lv, Liang Xu, Yan Liu, Xin Liu, Qinghua Lu, Zhongwei Li, Jiehan Zhou |
| 2017 | ICECCS | Evaluating Suitability of Applying Blockchain. | Sin Kuang Lo, Xiwei Xu, Yin Kia Chiam, Qinghua Lu |
| 2016 | COMPSAC | Message from the Doctoral Symposium Co-Chairs. | Mohammad Adibuzzaman, Hiroyuki Ohsaki, Satish Puri, Qinghua Lu |
| 2016 | ICSOC | Context as a Service: Realizing Internet of Things-Aware Processes for the Independent Living of the Elderly. | Lina Yao, Boualem Benatallah, Xianzhi Wang, Nguyen Khoi Tran, Qinghua Lu |
| 2015 | UIC | A MapReduce Cluster Deployment Optimization Framework with Geo-distributed Data. | Shanshan Li, Qinghua Lu, Weishan Zhang, Liming Zhu |
| 2015 | UIC | An Integrated Approach for Vehicle Detection and Type Recognition. | Weishan Zhang, Licheng Chen, Wenjuan Gong, Zhongwei Li, Qinghua Lu, Su Yang |
| 2015 | UIC | Emotion Recognition in Speech Using Multi-classification SVM. | Weishan Zhang, Xin Meng, Zhongwei Li, Qinghua Lu, Shaochao Tan |
| 2015 | UIC | Experiences on a Video Management Cloud Based on Hadoop. | Weishan Zhang, Ning Wang, Qinghua Lu, Su Yang |
| 2015 | UIC | Food Image Recognition with Convolutional Neural Networks. | Weishan Zhang, Dehai Zhao, Wenjuan Gong, Zhongwei Li, Qinghua Lu, Su Yang |
| 2014 | UIC | A Realtime Framework for Video Object Detection with Storm. | Weishan Zhang, Pengcheng Duan, Qinghua Lu, Xin Liu |
| 2013 | DSN | Modeling and analysing operation processes for dependability. | Xiwei Xu, Liming Zhu, Jim Zhanwen Li, Len Bass, Qinghua Lu, Min Fu |
| 2013 | ICSOC | BPMashup: Dynamic Execution of RESTful Processes. | Xiwei Xu, Ingo Weber, Liming Zhu, Yan Liu, Paul Rimba, Qinghua Lu |
| 2013 | ICSOC | Flexible Component Migration in an OSGi Based Pervasive Cloud Infrastructure. | Weishan Zhang, Licheng Chen, Qinghua Lu, Peiying Zhang, Su Yang |
| 2013 | ICSOC | Hybrid Emotion Recognition Using Semantic Similarity. | Zhanshan Zhang, Xin Meng, Peiying Zhang, Weishan Zhang, Qinghua Lu |
| 2012 | ICSOC | Application of Business-Driven Decision Making to RESTful Business Processes. | Qinghua Lu, Xiwei Xu, Vladimir Tosic, Liming Zhu |
| 2011 | IM | Support for concurrent adaptation of multiple Web service compositions to maximize business metrics. | Qinghua Lu, Vladimir Tosic |
| 2011 | ICSOC | Support for the Business Motivation Model in the WS-Policy4MASC Language and MiniZnMASC Middleware. | Qinghua Lu, Vladimir Tosic, Paul L. Bannerman |
| 2011 | SERVICES | Autonomic Business-Driven Decision Making for Adaptation of Web Service Compositions. | Qinghua Lu |
| 2010 | UIC | MiniMASC: A Framework for Diverse Autonomic Adaptations of Web Service Compositions. | Qinghua Lu, Vladimir Tosic |
| 2010 | UIC | MiniMASC+MiniZinc: An Autonomic Business-Driven Decision Making Middleware for Adaptation of Web Service Compositions. | Qinghua Lu, Vladimir Tosic |