| Preview | Issue Date | Title | Author(s) |
| 2019 | Attention residual learning for skin lesion classification | Zhang, J.; Xie, Y.; Xia, Y.; Shen, C. |
| 2022 | Evolutionary Algorithms for Limiting the Effect of Uncertainty for the Knapsack Problem with Stochastic Profits | Neumann, A.; Xie, Y.; Neumann, F.; Rudolph, G.; Kononova, A.V.; Aguirre, H.E.; Kerschke, P.; Ochoa, G.; Tusar, T.; International Conference on Parallel Problem Solving from Nature (PPSN) (10 Sep 2022 - 14 Sep 2022 : Dortmund, Germany) |
| 2019 | Evolutionary algorithms for the chance-constrained knapsack problem | Xie, Y.; Harper, O.; Assimi, H.; Neumann, A.; Neumann, F.; Auger, A.; Stützle, T.; GECCO '19: Genetic and Evolutionary Computation Conference (13 Jul 2019 - 17 Jul 2019 : Prague Czech Republic) |
| 2020 | Evolutionary bi-objective optimization for the dynamic chance-constrained knapsack problem based on tail bound objectives | Assimi, H.; Harper, O.; Xie, Y.; Neumann, A.; Neumann, F.; Giacomo, G.D.; Catalá, A.; Dilkina, B.; Milano, M.; Barro, S.; Bugarín, A.; Lang, J.; 24th European Conference on Artificial Intelligence (ECAI) (29 Aug 2020 - 8 Sep 2020 : Santiago de Compostela, Spain) |
| 2022 | Evolutionary Time-Use Optimization for Improving Children’s Health Outcomes | Xie, Y.; Neumann, A.; Stanford, T.; Rasmussen, C.L.; Dumuid, D.; Neumann, F.; Rudolph, G.; Kononova, A.V.; Aguirre, H.E.; Kerschke, P.; Ochoa, G.; Tusar, T.; International Conference on Parallel Problem Solving from Nature (PPSN) (10 Sep 2022 - 14 Sep 2022 : Dortmund, Germany) |
| 2019 | Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT | Xie, Y.; Xia, Y.; Zhang, J.; Song, Y.; Feng, D.; Fulham, M.; Cai, W. |
| 2021 | LogDP: Combining Dependency and Proximity for Log-Based Anomaly Detection | Xie, Y.; Zhang, H.; Zhang, B.; Babar, M.A.; Lu, S.; Hacid, H.; Kao, O.; Mecella, M.; Moha, N.; Paik, H.Y.; International Conference on Service-Oriented Computing (ICSOC) (22 Nov 2021 - 25 Nov 2021 : Virtual Online) |
| 2023 | LogGD: Detecting Anomalies from System Logs with Graph Neural Networks | Xie, Y.; Zhang, H.; Babar, M.A.; 22nd IEEE International Conference on Software Quality, Reliability and Security (QRS) (5 Dec 2022 - 9 Dec 2022 : Guangzhou, China) |
| 2017 | Lung nodule classification by jointly using visual descriptors and deep features | Xie, Y.; Zhang, J.; Liu, S.; Cai, W.; Xia, Y.; Muller, H.; Kelm, B.M.; Arbel, T.; Cai, W.; Cardoso, M.J.; Langs, G.; Menze, B.; Metaxas, D.; Montillo, A.; Wells, W.M.; Zhang, S.; Chung, A.C.S.; Jenkinson, M.; Ribbens, A.; Medical Image Computing and Computer-Assisted Intervention (MICCAI) (21 Oct 2016 - 21 Oct 2016 : Athens, Greece) |
| 2020 | Specific single- and multi-objective evolutionary algorithms for the chance-constrained knapsack problem | Xie, Y.; Neumann, A.; Neumann, F.; Coello, C.A.C.; Genetic and Evolutionary Computation Conference (GECCO) (8 Jul 2020 - 12 Jul 2020 : Cancun, Mexico) |
| 2022 | UniMiSS: Universal Medical Self-supervised Learning via Breaking Dimensionality Barrier | Xie, Y.; Zhang, J.; Xia, Y.; Wu, Q.; Avidan, S.; Brostow, G.; Cisse, M.; Farinella, G.M.; Hassner, T.; European Conference on Computer Vision (ECCV) (23 Oct 2022 - 27 Oct 2022 : Tel Aviv) |
