Curriculum Loss: Robust Learning and Generalization against Label Corruption Y Lyu, IW Tsang The International Conference on Learning Representations (ICLR), 2019 | 174 | 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 | 100 | 2019 |
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 | 49 | 2015 |
Intrinsic Reward Driven Imitation Learning via Generative Model X Yu, Y Lyu, IW Tsang International Conference on Machine Learning (ICML), 2020 | 44 | 2020 |
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 | 27 | 2016 |
Spherical structured feature maps for kernel approximation Y Lyu International Conference on Machine Learning (ICML), 2017 | 26 | 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, 571-586, 2017 | 13 | 2017 |
Two-phase mapping hashing WWY Ng, Y Lv, DS Yeung, PPK Chan Neurocomputing 151, 1423-1429, 2015 | 13 | 2015 |
Efficient batch black-box optimization with deterministic regret bounds Y Lyu, Y Yuan, IW Tsang arXiv preprint arXiv:1905.10041, 2019 | 10 | 2019 |
Subgroup-based Rank-1 Lattice Quasi-Monte Carlo Y Lyu, Y Yuan, IW Tsang Neural Information Processing Systems (NeurIPS), 2020 | 6 | 2020 |
Black-box Optimizer with Implicit Natural Gradient Y Lyu, IW Tsang arXiv preprint arXiv:1910.04301, 2019 | 5* | 2019 |
Online mental fatigue monitoring via indirect brain dynamics evaluation Y Pan, IW Tsang, Y Lyu, AK Singh, CT Lin Neural Computation 33 (6), 1616-1655, 2021 | 4 | 2021 |
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 | 3 | 2016 |
Earning Extra Performance from Restrictive Feedbacks J Li, Y Pan, Y Lyu, Y Yao, Y Sui, IW Tsang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 2 | 2023 |
Unfolded Self-Reconstruction LSH: Towards Machine Unlearning in Approximate Nearest Neighbour Search KY Tan, Y Lyu, YS Ong, IW Tsang arXiv preprint arXiv:2304.02350, 2023 | 2 | 2023 |
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 | 2 | 2015 |
On Harmonizing Implicit Subpopulations F Hong, J Yao, Y Lyu, Z Zhou, I Tsang, Y Zhang, Y Wang The Twelfth International Conference on Learning Representations, 2023 | 1 | 2023 |
Multiple Orthogonal K-means Hashing Z Zeng, Y Lv, WWY Ng Machine Learning and Cybernetics: 13th International Conference, Lanzhou …, 2014 | 1 | 2014 |
Fast Rank-1 Lattice Targeted Sampling for Black-box Optimization Y Lyu Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
Stochastic Adaptive Sequential Black-box Optimization for Diffusion Targeted Generation Y Lyu, KY Tan, YS Ong, I Tsang | | 2023 |