| Multi-label feature selection via information gain L Li, H Liu, Z Ma, Y Mo, Z Duan, J Zhou, J Zhao Advanced Data Mining and Applications: 10th International Conference, ADMA …, 2014 | 56 | 2014 |
| Penalized partial least square discriminant analysis with ℓ1-norm for multi-label data H Liu, Z Ma, S Zhang, X Wu Pattern Recognition 48 (5), 1724-1733, 2015 | 29 | 2015 |
| Restart and random walk in local search for maximum vertex weight cliques with evaluations in clustering aggregation Y Fan, N Li, C Li, Z Ma, LJ Latecki, K Su IJCAI-17, 2017 | 27 | 2017 |
| Regularized partial least squares for multi-label learning H Liu, Z Ma, J Han, Z Chen, Z Zheng International Journal of Machine Learning and Cybernetics 9, 335-346, 2018 | 21 | 2018 |
| Local search with noisy strategy for minimum vertex cover in massive graphs Z Ma, Y Fan, K Su, C Li, A Sattar PRICAI 2016: Trends in Artificial Intelligence: 14th Pacific Rim …, 2016 | 17 | 2016 |
| Efficient local search for minimum dominating sets in large graphs Y Fan, Y Lai, C Li, N Li, Z Ma, J Zhou, LJ Latecki, K Su International Conference on Database Systems for Advanced Applications, 211-228, 2019 | 16 | 2019 |
| Local search for maximum vertex weight clique on large sparse graphs with efficient data structures Y Fan, C Li, Z Ma, L Wen, A Sattar, K Su AI 2016: Advances in Artificial Intelligence: 29th Australasian Joint …, 2016 | 16 | 2016 |
| Random walk in large real-world graphs for finding smaller vertex cover Z Ma, Y Fan, K Su, C Li, A Sattar 2016 IEEE 28th International Conference on Tools with Artificial …, 2016 | 8 | 2016 |
| Ramp: a local search solver based on make-positive variables Y Fan, Z Ma, K Su, A Sattar, C Li MaxSAT Evaluation, 2016 | 8 | 2016 |
| Dropout with tabu strategy for regularizing deep neural networks Z Ma, A Sattar, J Zhou, Q Chen, K Su The Computer Journal 63 (7), 1031-1038, 2020 | 6 | 2020 |
| Efficient local search for maximum weight cliques in large graphs Y Fan, Z Ma, K Su, C Li, C Rao, RH Liu, LJ Latecki 2017 IEEE 29th International Conference on Tools with Artificial …, 2017 | 5 | 2017 |
| Exploiting reduction rules and data structures: Local search for minimum vertex cover in massive graphs Y Fan, C Li, Z Ma, LL Brankovic, V Estivill-Castro, A Sattar arXiv preprint arXiv:1509.05870, 2015 | 3 | 2015 |
| Deterministic tournament selection in local search for maximum edge weight clique on large sparse graphs Z Ma, Y Fan, K Su, C Li, A Sattar AI 2017: Advances in Artificial Intelligence: 30th Australasian Joint …, 2017 | 2 | 2017 |
| Advancing Tabu and Restart in Local Search for Maximum Weight Cliques Y Fan, N Li, C Li, Z Ma, LJ Latecki, K Su arXiv preprint arXiv:1804.08187, 2018 | 1 | 2018 |
| Searching on Massive Graphs and Regularizing Deep Learning Z Ma Griffith University, 2018 | | 2018 |
| Compressed partial least squares regression: A supervised method for multi-label data Z Ma, H Liu, Z Zheng, J Zhao, X Xu 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery …, 2014 | | 2014 |
| Penalized partial least squares for multi-label data H Liu, Z Ma, J Zhao, Z Zheng 2014 IEEE/ACM International Conference on Advances in Social Networks …, 2014 | | 2014 |
| PPML: Penalized Partial Least Squares Discriminant Analysis for Multi-Label Learning Z Ma, H Liu, K Su, Z Zheng Web-Age Information Management: 15th International Conference, WAIM 2014 …, 2014 | | 2014 |
| Efficient Local Search for Maximum Weight Cliques with Applications in Image Co-localization Y Fan, Z Ma, K Su, C Li, C Rao, RH Liu, LJ Latecki | | |
| Int. Conf. on Database Systems for Advanced Applications (DASFAA), Chiang Mai, Thailand, April 2019. Y Fan, Y Lai, C Li, N Li, Z Ma, J Zhou, LJ Latecki, K Su | | |
