| Asymmetric cyclical hashing for large scale image retrieval Y Lv, WWY Ng, Z Zeng, DS Yeung, PPK Chan IEEE Transactions on Multimedia 17 (8), 1225-1235, 2015 | 36 | 2015 |
| Curriculum Loss: Robust Learning and Generalization against Label Corruption Y Lyu, IW Tsang The International Conference on Learning Representations (ICLR), 2019 | 33 | 2019 |
| Marginalized average attentional network for weakly-supervised learning Y Yuan, Y Lyu, X Shen, IW Tsang, DY Yeung The International Conference on Learning Representations (ICLR), 2019 | 26 | 2019 |
| Incremental hashing for semantic image retrieval in nonstationary environments WWY Ng, X Tian, Y Lv, DS Yeung, W Pedrycz IEEE transactions on cybernetics 47 (11), 3814-3826, 2016 | 15 | 2016 |
| Spherical structured feature maps for kernel approximation Y Lyu International Conference on Machine Learning (ICML), 2017 | 11 | 2017 |
| Sequential conditional entropy maximization semi-supervised hashing for semantic image retrieval WWY Ng, Y Lv, Z Zeng, DS Yeung, PPK Chan International Journal of Machine Learning and Cybernetics 8 (2), 571-586, 2017 | 11 | 2017 |
| Two-phase mapping hashing WWY Ng, Y Lv, DS Yeung, PPK Chan Neurocomputing 151, 1423-1429, 2015 | 10 | 2015 |
| Intrinsic Reward Driven Imitation Learning via Generative Model X Yu, Y Lyu, IW Tsang International Conference on Machine Learning (ICML), 2020 | 2 | 2020 |
| Efficient batch black-box optimization with deterministic regret bounds Y Lyu, Y Yuan, IW Tsang arXiv preprint arXiv:1905.10041, 2019 | 2 | 2019 |
| A cone order sequence based multi-objective evolutionary algorithm Y Lyu, Q Zhang, KC Wong 2016 IEEE Congress on Evolutionary Computation (CEC), 2169-2176, 2016 | 2 | 2016 |
| Hyperspherical embedding iterative quantization hashing Z Huang, Y Lv, X Tian, WWY Ng 2015 International Conference on Machine Learning and Cybernetics 2, 904-909, 2015 | 1 | 2015 |
| Multiple Orthogonal K-means Hashing Z Zeng, Y Lv, WWY Ng International Conference on Machine Learning and Cybernetics, 117-126, 2014 | 1 | 2014 |
| Online Mental Fatigue Monitoring via Indirect Brain Dynamics Evaluation Y Pan, IW Tsang, Y Lyu, AK Singh, CT Lin Neural Computation, 1-40, 2021 | | 2021 |
| Subgroup-based Rank-1 Lattice Quasi-Monte Carlo Y Lyu, Y Yuan, IW Tsang arXiv preprint arXiv:2011.06446, 2020 | | 2020 |
| Black-box Optimizer with Implicit Natural Gradient Y Lyu, IW Tsang arXiv preprint arXiv:1910.04301, 2019 | | 2019 |
| Stochastic Implicit Natural Gradient for Black-box Optimization. Y Lyu, IW Tsang CoRR, 2019 | | 2019 |
| Intrinsic Reward Driven Imitation Learning via Generative Model Download PDF X Yu, Y Lyu, IW Tsang | | |
Ivor W. TsangResearch Director & Professor, Australian AI Institute, University of Technology SydneyVerified email at uts.edu.au
