| Learning to diversify for single domain generalization Z Wang, Y Luo, R Qiu, Z Huang, M Baktashmotlagh International Conference on Computer Vision (ICCV), 834-843, 2021 | 257 | 2021 |
| Deep reinforcement learning enabled self-learning control for energy efficient driving X Qi, Y Luo, G Wu, K Boriboonsomsin, M Barth Transportation Research Part C: Emerging Technologies 99, 67-81, 2019 | 251 | 2019 |
| Zero-shot hashing via transferring supervised knowledge Y Yang, Y Luo, W Chen, F Shen, J Shao, HT Shen ACM international conference on Multimedia (MM), 1286-1295, 2016 | 159 | 2016 |
| Semantics disentangling for generalized zero-shot learning Z Chen, Y Luo, R Qiu, S Wang, Z Huang, J Li, Z Zhang International Conference on Computer Vision (ICCV), 8712-8720, 2021 | 120 | 2021 |
| Progressive graph learning for open-set domain adaptation Y Luo, Z Wang, Z Huang, M Baktashmotlagh International Conference on Machine Learning (ICML), 6468-6478, 2020 | 115 | 2020 |
| Robust Discrete Code Modeling for Supervised Hashing Y Luo, Y Yang, F Shen, Z Huang, P Zhou, HT Shen Pattern Recognition (PR) 75, 128-135, 2018 | 115 | 2018 |
| Discovering collaborative signals for next POI recommendation with iterative Seq2Graph augmentation Y Li, T Chen, Y Luo, H Yin, Z Huang International Joint Conferences on Artificial Intelligence (IJCAI), 2021 | 90 | 2021 |
| Deep reinforcement learning-based vehicle energy efficiency autonomous learning system X Qi, Y Luo, G Wu, K Boriboonsomsin, MJ Barth 2017 IEEE intelligent vehicles symposium (IV), 1228-1233, 2017 | 80 | 2017 |
| Inductive structure consistent hashing via flexible semantic calibration Z Zhang, L Liu, Y Luo, Z Huang, F Shen, HT Shen, G Lu IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 32 (10 …, 2020 | 63 | 2020 |
| High-order nonlocal hashing for unsupervised cross-modal retrieval PF Zhang, Y Luo, Z Huang, XS Xu, J Song World Wide Web 24, 563-583, 2021 | 56 | 2021 |
| Adversarial bipartite graph learning for video domain adaptation Y Luo, Z Huang, Z Wang, Z Zhang, M Baktashmotlagh ACM International Conference on Multimedia (MM), 19-27, 2020 | 52 | 2020 |
| Canzsl: Cycle-consistent adversarial networks for zero-shot learning from natural language Z Chen, J Li, Y Luo, Z Huang, Y Yang Winter Conference on Applications of Computer Vision (WACV), 874-883, 2020 | 52 | 2020 |
| Curiosity-driven reinforcement learning for diverse visual paragraph generation Y Luo, Z Huang, Z Zhang, Z Wang, J Li, Y Yang ACM International Conference on Multimedia (MM), 2341-2350, 2019 | 48 | 2019 |
| Deep collaborative discrete hashing with semantic-invariant structure construction Z Wang, Z Zhang, Y Luo, Z Huang, HT Shen IEEE Transactions on Multimedia 23, 1274-1286, 2020 | 45 | 2020 |
| Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks Y Luo, Z Huang, Z Zhang, Z Wang, M Baktashmotlagh, Y Yang AAAI Conference on Artificial Intelligence (AAAI), 5021-5028, 2020 | 44* | 2020 |
| Look deeper see richer: Depth-aware image paragraph captioning Z Wang*, Y Luo*, Y Li, Z Huang, H Yin ACM International Conference on Multimedia (MM), 672-680, 2018 | 38 | 2018 |
| Prototype-matching graph network for heterogeneous domain adaptation Z Wang, Y Luo, Z Huang, M Baktashmotlagh ACM International Conference on Multimedia (MM), 2104-2112, 2020 | 33 | 2020 |
| Source-free progressive graph learning for open-set domain adaptation Y Luo, Z Wang, Z Chen, Z Huang, M Baktashmotlagh IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 | 29 | 2023 |
| Mitigating generation shifts for generalized zero-shot learning Z Chen, Y Luo, S Wang, R Qiu, J Li, Z Huang ACM International Conference on Multimedia (MM), 844-852, 2021 | 28 | 2021 |
| Context-aware attention-based data augmentation for POI recommendation Y Li, Y Luo, Z Zhang, S Sadiq, P Cui 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW …, 2019 | 27 | 2019 |
Professor Zi (Helen) HuangUniversity of QueenslandBestätigte E-Mail-Adresse bei itee.uq.edu.au
