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Conference Papers

Xu X; Wang C; Wang ZJ; Lu Q; Zhu L, 2022, 'Dependency tracking for risk mitigation in machine learning (ML) systems', in Proceedings of the 44th International Conference on Software Engineering: Software Engineering in Practice, ACM, presented at ICSE '22: 44th International Conference on Software Engineering, http://dx.doi.org/10.1145/3510457.3513058

Lu Q; Zhu L; Xu X; Whittle J; Douglas D; Sanderson C, 2022, 'Software engineering for responsible AI', in Proceedings of the 44th International Conference on Software Engineering: Software Engineering in Practice, ACM, presented at ICSE '22: 44th International Conference on Software Engineering, http://dx.doi.org/10.1145/3510457.3513063

Lu Q; Zhu L; Xu X; Whittle J; Douglas D; Sanderson C, 2022, 'Software engineering for Responsible AI: An empirical study and operationalised patterns', in Proceedings - International Conference on Software Engineering, IEEE, pp. 241 - 242, presented at 2022 IEEE/ACM 44th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP), 22 May 2022 - 24 May 2022, http://dx.doi.org/10.1109/ICSE-SEIP55303.2022.9793864

Chia SY; Xu X; Paik HY; Zhu L, 2022, 'Analysis of Privacy Patterns from An Architectural Perspective', in 2022 IEEE 19th International Conference on Software Architecture Companion, ICSA-C 2022, pp. 60 - 67, http://dx.doi.org/10.1109/ICSA-C54293.2022.00056

Zhou G; Yao L; Xu X; Wang C; Zhu L, 2022, 'Cycle-Balanced Representation Learning For Counterfactual Inference', in Proceedings of the 2022 SIAM International Conference on Data Mining, SDM 2022, pp. 442 - 450

Xu X; Wang C; Wang ZJ; Lu Q; Zhu L, 2022, 'Dependency Tracking for Risk Mitigation in Machine Learning (ML) Systems', in Proceedings - International Conference on Software Engineering, pp. 145 - 146, http://dx.doi.org/10.1109/ICSE-SEIP55303.2022.9794111

Lu Q; Zhu L; Xu X; Whittle J; Xing Z, 2022, 'Towards a Roadmap on Software Engineering for Responsible AI', in Proceedings - 1st International Conference on AI Engineering - Software Engineering for AI, CAIN 2022, pp. 101 - 112, http://dx.doi.org/10.1145/3522664.3528607

Chen P; Lim CP; Gorod A; Zhu L, 2022, 'Towards a Taxonomy of Approaches to Modern Complex Systems', in 2022 17th Annual System of Systems Engineering Conference, SOSE 2022, pp. 410 - 415, http://dx.doi.org/10.1109/SOSE55472.2022.9812661

Chen X; Yao L; Sun A; Wang X; Xu X; Zhu L, 2021, 'Generative Inverse Deep Reinforcement Learning for Online Recommendation', in International Conference on Information and Knowledge Management, Proceedings, pp. 201 - 210, http://dx.doi.org/10.1145/3459637.3482347

Ren X; Ye X; Xing Z; Xia X; Xu X; Zhu L; Sun J, 2021, 'KGAMD: An API-misuse detector driven by fine-grained API-constraint knowledge graph', in ESEC/FSE 2021 - Proceedings of the 29th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ACM, pp. 1515 - 1519, presented at ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, http://dx.doi.org/10.1145/3468264.3473112

Bednarz T; Mathews A; Filonik D; Hughes RT; Chen D; Zhu L, 2021, 'Visual analytics for large networks: Theory, art and practice', in ACM SIGGRAPH 2021 Courses, SIGGRAPH 2021, ACM, presented at SIGGRAPH '21: Special Interest Group on Computer Graphics and Interactive Techniques Conference, http://dx.doi.org/10.1145/3450508.3464558

Lu Q; Xu X; Bandara HMND; Chen S; Zhu L, 2021, 'Patterns for Blockchain-Based Payment Applications', in ACM International Conference Proceeding Series, http://dx.doi.org/10.1145/3489449.3490006

Zhang D; Xu X; Zhu L; Paik HY, 2021, 'A process adaptation framework for blockchain-based supply chain management', in IEEE International Conference on Blockchain and Cryptocurrency, ICBC 2021, IEEE, presented at 2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), 03 May 2021 - 06 May 2021, http://dx.doi.org/10.1109/icbc51069.2021.9461106

Shanmugarasa Y; Paik HY; Kanhere SS; Zhu L, 2021, 'Towards Automated Data Sharing in Personal Data Stores', in 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021, IEEE, pp. 328 - 331, presented at 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), 22 March 2021 - 26 March 2021, http://dx.doi.org/10.1109/PerComWorkshops51409.2021.9431001

Chia SY; Xu X; Paik HY; Zhu L, 2021, 'Analysing and extending privacy patterns with architectural context', in Proceedings of the ACM Symposium on Applied Computing, ACM, pp. 1390 - 1398, presented at SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, http://dx.doi.org/10.1145/3412841.3442014

Xu X; Dilum Bandara HMN; Lu Q; Weber I; Bass L; Zhu L, 2021, 'A Decision Model for Choosing Patterns in Blockchain-Based Applications', in Proceedings - IEEE 18th International Conference on Software Architecture, ICSA 2021, IEEE, pp. 47 - 57, presented at 2021 IEEE 18th International Conference on Software Architecture (ICSA), 22 March 2021 - 26 March 2021, http://dx.doi.org/10.1109/ICSA51549.2021.00013

Sun J; Xing Z; Peng X; Xu X; Zhu L, 2021, 'Task-Oriented API Usage Examples Prompting Powered by Programming Task Knowledge Graph', in Proceedings - 2021 IEEE International Conference on Software Maintenance and Evolution, ICSME 2021, IEEE, pp. 448 - 459, presented at 2021 IEEE International Conference on Software Maintenance and Evolution (ICSME), 27 September 2021 - 01 October 2021, http://dx.doi.org/10.1109/ICSME52107.2021.00046

Dong M; Yao L; Wang X; Xu X; Zhu L, 2021, 'MetaGB: A Gradient Boosting Framework for Efficient Task Adaptive Meta Learning', in Proceedings - IEEE International Conference on Data Mining, ICDM, IEEE, pp. 101 - 110, presented at 2021 IEEE International Conference on Data Mining (ICDM), 07 December 2021 - 10 December 2021, http://dx.doi.org/10.1109/ICDM51629.2021.00020

Qi M; Wang Z; Wu F; Hanson R; Chen S; Xiang Y; Zhu L, 2021, 'A Blockchain-Enabled Federated Learning Model for Privacy Preservation: System Design', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 473 - 489, http://dx.doi.org/10.1007/978-3-030-90567-5_24

Ao S; Zhou T; Long G; Lu Q; Zhu L; Jiang J, 2021, 'CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum', in Advances in Neural Information Processing Systems, pp. 10444 - 10456

Lo SK; Lu Q; Paik HY; Zhu L, 2021, 'FLRA: A Reference Architecture for Federated Learning Systems', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer International Publishing, pp. 83 - 98, http://dx.doi.org/10.1007/978-3-030-86044-8_6

Su Y; Xing Z; Peng X; Xia X; Wang C; Xu X; Zhu L, 2021, 'Reducing Bug Triaging Confusion by Learning from Mistakes with a Bug Tossing Knowledge Graph', in Proceedings - 2021 36th IEEE/ACM International Conference on Automated Software Engineering, ASE 2021, pp. 191 - 202, http://dx.doi.org/10.1109/ASE51524.2021.9678574

Hughes R; Edmond C; Wells L; Glencross M; Zhu L; Bednarz T, 2020, 'EXplainable AI (XAI): An introduction to the XAI landscape with practical examples', in SIGGRAPH Asia 2020 Courses, SA 2020, ACM, presented at SA '20: SIGGRAPH Asia 2020, http://dx.doi.org/10.1145/3415263.3419166

Chen J; Xie M; Xing Z; Chen C; Xu X; Zhu L; Li G, 2020, 'Object detection for graphical user interface: Old fashioned or deep learning or a combination?', in ESEC/FSE 2020 - Proceedings of the 28th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 1202 - 1214, http://dx.doi.org/10.1145/3368089.3409691

Ren X; Ye X; Xing Z; Xia X; Xu X; Zhu L; Sun J, 2020, 'API-Misuse Detection Driven by Fine-Grained API-Constraint Knowledge Graph', in Proceedings - 2020 35th IEEE/ACM International Conference on Automated Software Engineering, ASE 2020, pp. 461 - 472, http://dx.doi.org/10.1145/3324884.3416551

Dong M; Yuan F; Yao L; Xu X; Zhu L, 2020, 'MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation', in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 688 - 697, http://dx.doi.org/10.1145/3394486.3403113

Zhao D; Xing Z; Chen C; Xu X; Zhu L; Li G; Wang J, 2020, 'Seenomaly: Vision-based linting of gui animation effects against design-don't guidelines', in Proceedings - International Conference on Software Engineering, pp. 1286 - 1297, http://dx.doi.org/10.1145/3377811.3380411

Chen J; Chen C; Xing Z; Xu X; Zhu L; Li G; Wang J, 2020, 'Unblind your apps: Predicting natural-language labels for mobile gui components by deep learning', in Proceedings - International Conference on Software Engineering, pp. 322 - 334, http://dx.doi.org/10.1145/3377811.3380327

Hu R; Pan S; Long G; Lu Q; Zhu L; Jiang J, 2020, 'Going deep: Graph convolutional ladder-shape networks', in AAAI 2020 - 34th AAAI Conference on Artificial Intelligence, pp. 2838 - 2845

Xu X; Bandara HMND; Lu Q; Zhang D; Zhu L, 2020, 'Understanding and Handling Blockchain Uncertainties', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 108 - 124, http://dx.doi.org/10.1007/978-3-030-59638-5_8

Verma S; Wang C; Zhu L; Liu W, 2019, 'DeepCU: Integrating both common and unique latent information for multimodal sentiment analysis', in IJCAI International Joint Conference on Artificial Intelligence, Macao, China, pp. 3627 - 3634, presented at 28th International Joint Conference on Artificial Intelligence IJCAI-19, Macao, China, 10 August 2019

Ko R; Chen L; Zhu L, 2019, 'Message from IEEE TrustCom 2019 General Chairs', in 2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE), IEEE, presented at 2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE), 05 August 2019 - 08 August 2019, http://dx.doi.org/10.1109/trustcom/bigdatase.2019.00005

Verma S; Wang C; Zhu L; Liu W, 2019, 'A compliance checking framework for DNN models', in IJCAI International Joint Conference on Artificial Intelligence, pp. 6470 - 6471, http://dx.doi.org/10.24963/ijcai.2019/924

Zhang Y; Xu X; Satyal S; Chen S; Zhu L, 2019, 'A RESTful architecture for data exploration as a service', in Proceedings of the ACM Symposium on Applied Computing, pp. 1692 - 1700, http://dx.doi.org/10.1145/3297280.3297444

Wu H; Wang C; Tyshetskiy Y; Docherty A; Lu K; Zhu L, 2019, 'Adversarial examples for graph data: Deep insights into attack and defense', in IJCAI International Joint Conference on Artificial Intelligence, pp. 4816 - 4823, http://dx.doi.org/10.24963/ijcai.2019/669

Lee SU; Zhu L; Jeffery R, 2019, 'Data governance decisions for platform ecosystems', in Proceedings of the Annual Hawaii International Conference on System Sciences, pp. 6377 - 6386

Verma S; Wang C; Zhu L; Liu W, 2019, 'Towards Effective Data Augmentations via Unbiased GAN Utilization', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 555 - 567, http://dx.doi.org/10.1007/978-3-030-29894-4_45

Ozkaya I; Zhu L, 2018, 'New and Emerging Ideas Track 2018', in Proceedings - 2018 IEEE 15th International Conference on Software Architecture Companion, ICSA-C 2018, pp. 47, http://dx.doi.org/10.1109/ICSA-C.2018.00020

Wu D; Sakr S; Zhu L; Lee S; Wu H, 2018, 'HDM-MC in-Action: A framework for big data analytics across multiple clusters', in Proceedings - International Conference on Distributed Computing Systems, pp. 1547 - 1550, http://dx.doi.org/10.1109/ICDCS.2018.00165

Wu H; Wang C; Lu K; Fu Y; Zhu L, 2018, 'One size does not fit all: The case for chunking configuration in backup deduplication', in Proceedings - 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2018, pp. 213 - 222, http://dx.doi.org/10.1109/CCGRID.2018.00036

Xu X; Pautasso C; Zhu L; Lu Q; Weber I, 2018, 'A pattern collection for blockchain-based applications', in ACM International Conference Proceeding Series, http://dx.doi.org/10.1145/3282308.3282312

Wang B; Chen S; Yao L; Liu B; Xu X; Zhu L, 2018, 'A simulation approach for studying behavior and quality of blockchain networks', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Seattle, WA, USA, pp. 18 - 31, presented at International Conference on Blockchain, ICBC 2018, Seattle, WA, USA, 25 June 2018 - 30 June 2018, http://dx.doi.org/10.1007/978-3-319-94478-4_2

Wu H; Wang C; Yin J; Lu K; Zhu L, 2018, 'Sharing deep neural network models with interpretation', in The Web Conference 2018 - Proceedings of the World Wide Web Conference, WWW 2018, ASSOC COMPUTING MACHINERY, Lyon, FRANCE, pp. 177 - 186, presented at 27th World Wide Web (WWW) Conference, Lyon, FRANCE, 23 April 2018 - 27 April 2018, http://dx.doi.org/10.1145/3178876.3185995

Lee SU; Zhu L; Jeffery R, 2018, 'A contingency-based approach to data governance design for platform ecosystems', in Proceedings of the 22nd Pacific Asia Conference on Information Systems - Opportunities and Challenges for the Digitized Society: Are We Ready?, PACIS 2018

Lee SU; Zhu L; Jeffery R, 2018, 'A data governance framework for platform ecosystem process management', in Lecture Notes in Business Information Processing, pp. 211 - 227, http://dx.doi.org/10.1007/978-3-319-98651-7_13

Liu Y; Lu Q; Xu X; Zhu L; Yao H, 2018, 'Applying design patterns in smart contracts: A case study on a blockchain-based traceability application', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 92 - 106, http://dx.doi.org/10.1007/978-3-319-94478-4_7

Zhang Y; Zhu L; Xu X; Chen S; Tran AB, 2018, 'Data service API design for data analytics', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 87 - 102, http://dx.doi.org/10.1007/978-3-319-94376-3_6

Lee SU; Zhu L; Jeffery R, 2018, 'Designing data governance in platform ecosystems', in Proceedings of the Annual Hawaii International Conference on System Sciences, pp. 5014 - 5023

Verma S; Liu W; Wang C; Zhu L, 2018, 'Hybrid networks: Improving deep learning networks via integrating two views of images', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 46 - 58, http://dx.doi.org/10.1007/978-3-030-04167-0_5

Zhang S; Yao L; Xu X; Wang S; Zhu L, 2017, 'Hybrid collaborative recommendation via Semi-AutoEncoder', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Guangzhou, China, pp. 185 - 193, presented at 24th International Conference, ICONIP 2017, Guangzhou, China, 14 November 2017 - 18 November 2017, http://dx.doi.org/10.1007/978-3-319-70087-8_20


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