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 | 279 | 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 | 261 | 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 | 161 | 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 | 127 | 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 | 121 | 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 | 95 | 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 | 83 | 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 | 64 | 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 | 63 | 2021 |
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 | 54 | 2020 |
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 | 53 | 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 | 49 | 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 | 47 | 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 | 34 | 2020 |
Robustness-aware 3d object detection in autonomous driving: A review and outlook Z Song, L Liu, F Jia, Y Luo, G Zhang, L Yang, L Wang, C Jia IEEE Transactions on Intelligent Transportation Systems (TITS), 2024 | 33 | 2024 |
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 | 33 | 2023 |
Exploring Active 3D Object Detection from a Generalization Perspective Y Luo, Z Chen, Z Wang, X Yu, Z Huang, M Baktashmotlagh The Eleventh International Conference on Learning Representations (ICLR), 2023 | 32 | 2023 |