By Dr Liming Zhu

Conference Papers

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, pp. 101 - 110, http://dx.doi.org/10.1109/ICDM51629.2021.00020

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

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, pp. 448 - 459, http://dx.doi.org/10.1109/ICSME52107.2021.00046

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, Association for Computing Machinery (ACM), pp. 1 - 62, presented at SIGGRAPH Asia 2020 Courses, 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 Proceedings - 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 2019, pp. xix, 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, pp. 177 - 186, 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

Fu M; Chen S; Yang J; Nepal S; Zhu L, 2017, 'ARA-Assessor: Application-aware runtime risk assessment for cloud-based business continuity', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Malaga, Spain, pp. 511 - 527, presented at 15th International Conference, ICSOC 2017, Malaga, Spain, 13 November 2017 - 16 November 2017, http://dx.doi.org/10.1007/978-3-319-69035-3_38

Shahin M; Babar MA; Zahedi M; Zhu L, 2017, 'Beyond Continuous Delivery: An Empirical Investigation of Continuous Deployment Challenges', in International Symposium on Empirical Software Engineering and Measurement, Toronto, ON, Canada, pp. 111 - 120, presented at 2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), Toronto, ON, Canada, 09 November 2017 - 10 November 2017, http://dx.doi.org/10.1109/ESEM.2017.18

Rabhi F; Geumpana T; Zhu L, 2017, 'Accommodating Information Priority Model in Cloudlet Environment', in Lecture Notes in Business Information Processing, Springer Nature, Sydney, NSW, pp. 21 - 34, presented at Australian Symposium on Service Research and Innovation, Sydney, NSW, 19 October 2017 - 20 October 2017, http://dx.doi.org/10.1007/978-3-319-76587-7_2

Ekparinya P; Gramoli V; Jourjon G; Zhu L, 2017, 'Stratosphere: Dynamic IP Overlay above the Clouds', in Proceedings - Conference on Local Computer Networks, LCN, Singapore, Singapore, pp. 583 - 586, presented at 2017 IEEE 42nd Conference on Local Computer Networks (LCN), Singapore, Singapore, 09 October 2017 - 12 October 2017, http://dx.doi.org/10.1109/LCN.2017.75

Liu B; Yu XL; Chen S; Xu X; Zhu L, 2017, 'Blockchain Based Data Integrity Service Framework for IoT Data', in Proceedings - 2017 IEEE 24th International Conference on Web Services, ICWS 2017, Honolulu, HI, USA, pp. 468 - 475, presented at 2017 IEEE International Conference on Web Services (ICWS), Honolulu, HI, USA, 25 June 2017 - 30 June 2017, http://dx.doi.org/10.1109/ICWS.2017.54

Shahin M; Zahedi M; Ali Babar M; Zhu L, 2017, 'Adopting continuous delivery and deployment: Impacts on team structures, collaboration and responsibilities', in ACM International Conference Proceeding Series, Karlskrona, Sweden, pp. 384 - 393, presented at EASE'17 Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering, Karlskrona, Sweden, 15 June 2017 - 16 June 2017, http://dx.doi.org/10.1145/3084226.3084263

Xu X; Weber I; Staples M; Zhu L; Bosch J; Bass L; Pautasso C; Rimba P, 2017, 'A Taxonomy of Blockchain-Based Systems for Architecture Design', in Proceedings - 2017 IEEE International Conference on Software Architecture, ICSA 2017, pp. 243 - 252, http://dx.doi.org/10.1109/ICSA.2017.33

Wu D; Sakr ; zhu LIMING; Wu HUIJUN, 2017, 'Towards Big Data Analytics across Multiple Clusters', Madrid, Spain, presented at 17TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND GRID, Madrid, Spain, 14 May 2017 - 17 May 2017

Wu D; sakr ; Zhu LIMING, 2017, 'HDM: Optimized Big Data Processing with Data Provenance', in Proceedings of the 20th International Conference on Extending Database Technology, Venice, Italy, presented at The 20th International Conference on Extending Database Technology, Venice, Italy, 21 March 2017 - 24 March 2017

Verma S; Liu W; Wang C; Zhu L, 2017, 'Extracting highly effective features for supervised learning via simultaneous tensor factorization', in PROCEEDINGS OF THE THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-NINTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE, The AAAI Press, Palo Alto, California., San Francisco, California USA, pp. 4995 - 4996, presented at THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, San Francisco, California USA, 04 February 2017 - 09 February 2017, https://www.aaai.org/Library/AAAI/aaai17contents.php

Lee SU; Zhu L; Jeffery R, 2017, 'Data governance for platform ecosystems: Critical factors and the state of practice', in Proceedings ot the 21st Pacific Asia Conference on Information Systems: ''Societal Transformation Through IS/IT'', PACIS 2017

Wu H; Wang C; Fu Y; Sakr S; Zhu L; Lux K, 2017, 'HPDedup: A Hybrid prioritized data deduplication mechanism for primary storage in the cloud', in 33rd International Conference on Massive Storage Systems and Technology, MSST 2017

Wu H; Wang C; Fu Y; Sakr S; Zhu L; Lux K, 2017, 'HPDedup: A Hybrid prioritized data deduplication mechanism for primary storage in the cloud', in 33rd International Conference on Massive Storage Systems and Technology, MSST 2017

Shahin M; Babar MA; Zhu L, 2016, 'The Intersection of Continuous Deployment and Architecting Process: Practitioners' Perspectives', in International Symposium on Empirical Software Engineering and Measurement, Ciudad Real, Spain, presented at ESEM '16 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, Ciudad Real, Spain, 08 September 2016 - 09 September 2016, http://dx.doi.org/10.1145/2961111.2962587

Wu H; Zhu L; Lu K; Li G; Wu D, 2016, 'StageFS: A parallel file system optimizing metadata performance for SSD based clusters', in Proceedings - 15th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 10th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Symposium on Parallel and Distributed Processing with Applications, IEEE TrustCom/BigDataSE/ISPA 2016, Tianjin, China, pp. 2147 - 2152, presented at 2016 IEEE Trustcom/BigDataSE/I​SPA, Tianjin, China, 23 August 2016 - 26 August 2016, http://dx.doi.org/10.1109/TrustCom.2016.0330

Fu M; Liming Zhu ; Ingo Weber ; Len Bass ; Anna Liu ; Xiwei Xu , 2016, 'Process-Oriented Non-Intrusive Recovery for Sporadic Operations on Cloud', in Proceedings - 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2016, Toulouse, France, presented at DSN 2016, Toulouse, France, 28 June 2016 - 01 July 2016, http://dx.doi.org/10.1109/DSN.2016.17

Staples M; Zhu L; Grundy J, 2016, 'Continuous validation for data analytics systems', in Visser W; Williams L (ed.), Proceedings of the 38th International Conference on Software Engineering Companion, ACM, Austin, Texas, USA, pp. 769 - 772, presented at International Conference on Software Engineering, Austin, Texas, USA, 14 May 2016 - 22 May 2016, http://dx.doi.org/10.1145/2889160.2889207

Lu Q; Zhu L; Zhang H; Wu D; Li Z; Xu X, 2016, 'MapReduce Job Optimization: A Mapping Study', in Proceedings - 2015 International Conference on Cloud Computing and Big Data, CCBD 2015, pp. 81 - 88, http://dx.doi.org/10.1109/CCBD.2015.33

Xu X; Pautasso C; Zhu L; Gramoli V; Ponomarev A; Tran AB; Chen S, 2016, 'The blockchain as a software connector', in Proceedings - 2016 13th Working IEEE/IFIP Conference on Software Architecture, WICSA 2016, IEEE, Venice, ITALY, pp. 182 - 191, presented at 13th Working IEEE/IFIP Conference on Software Architecture (WICSA), Venice, ITALY, 05 April 2016 - 08 April 2016, http://dx.doi.org/10.1109/WICSA.2016.21

Back to profile page