| Phase nucleation through confined spinodal fluctuations at crystal defects evidenced in Fe-Mn alloys A Kwiatkowski da Silva, D Ponge, Z Peng, G Inden, Y Lu, A Breen, B Gault, ... Nature communications 9 (1), 1137, 2018 | 135 | 2018 |
| Quantitative analysis of grain boundary diffusion, segregation and precipitation at a sub-nanometer scale Z Peng, T Meiners, Y Lu, CH Liebscher, A Kostka, D Raabe, B Gault Acta Materialia 225, 117522, 2022 | 33 | 2022 |
| An automated computational approach for complete in-plane compositional interface analysis by atom probe tomography Z Peng, Y Lu, C Hatzoglou, A Kwiatkowski da Silva, F Vurpillot, D Ponge, ... Microscopy and Microanalysis 25 (2), 389-400, 2019 | 30 | 2019 |
| Incremental temporal pattern mining using efficient batch-free stream clustering Y Lu, M Hassani, T Seidl Proceedings of the 29th international conference on scientific and …, 2017 | 29 | 2017 |
| A geometric approach for mining sequential patterns in interval-based data streams M Hassani, Y Lu, J Wischnewsky, T Seidl 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2128-2135, 2016 | 15 | 2016 |
| Efficient infrequent pattern mining using negative itemset tree Y Lu, F Richter, T Seidl Complex pattern mining: New challenges, methods and applications, 1-16, 2020 | 10 | 2020 |
| Efficient infrequent itemset mining using depth-first and top-down lattice traversal Y Lu, F Richter, T Seidl Database Systems for Advanced Applications: 23rd International Conference …, 2018 | 9 | 2018 |
| Towards efficient closed infrequent itemset mining using bi-directional traversing Y Lu, T Seidl 2018 IEEE 5th international conference on data science and advanced …, 2018 | 8 | 2018 |
| TOAD: trace ordering for anomaly detection F Richter, Y Lu, L Zellner, J Sontheim, T Seidl 2020 2nd International Conference on Process Mining (ICPM), 169-176, 2020 | 5 | 2020 |
| Towards an efficient ranking of interval-based patterns M Hassani, Y Lu, T Seidl 19th International Conference on Extending Database Technology (EDBT 2016 …, 2016 | 5 | 2016 |
| K-nearest neighbor based clustering with shape alternation adaptivity Y Lu, Y Zhang, F Richter, T Seidl 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 3 | 2020 |
| “Show Me the Crowds!” Revealing Cluster Structures Through AMTICS F Richter, Y Lu, D Kazempour, T Seidl Data Science and Engineering 5 (4), 360-374, 2020 | 2 | 2020 |
| A Methodology for Investigation of Grain-Boundary Diffusion and Segregation Z Peng, T Meiners, B Gault, C Liebscher, D Raabe, Y Lu Microscopy and Microanalysis 23 (S1), 656-657, 2017 | 2 | 2017 |
| Lscminer: Efficient low support closed itemsets mining Y Lu, F Richter, T Seidl Web Information Systems Engineering–WISE 2019: 20th International Conference …, 2019 | 1 | 2019 |
| Pattern mining under different conditions Y Lu lmu, 2021 | | 2021 |
| KNNAC: An Efficient k Nearest Neighbor Based Clustering with Active Core Detection Y Zhang, Y Lu, T Seidl Proceedings of the 22nd International Conference on Information Integration …, 2020 | | 2020 |
| AMTICS: Aligning Micro-clusters to Identify Cluster Structures F Richter, Y Lu, D Kazempour, T Seidl Database Systems for Advanced Applications: 25th International Conference …, 2020 | | 2020 |
| An automated computational approach for extraction in-plane compositional information of interface in atom probe tomography dataset Z Peng, Y Lu, C Hatzoglou, A Kwiatkowski da Silva, F Vurpillot, D Ponge, ... APT&M 2018 conference, 2018 | | 2018 |
| Methodology for High Resolution Direct Study of Grain Boundary Diffusion, Segregation and Precipitation Z Peng, T Meiners, Y Lu, B Gault, A Kostka, C Liebscher, D Raabe Microscopy and Microanalysis 2017 Conference, 2017 | | 2017 |
