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Yueming Lyu
Yueming Lyu
Other namesYueming Lv
Research Scientist, A*STAR
Verified email at ihpc.a-star.edu.sg - Homepage
Title
Cited by
Cited by
Year
Curriculum Loss: Robust Learning and Generalization against Label Corruption
Y Lyu, IW Tsang
The International Conference on Learning Representations (ICLR), 2019
1962019
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
1042019
Intrinsic Reward Driven Imitation Learning via Generative Model
X Yu, Y Lyu, IW Tsang
International Conference on Machine Learning (ICML), 2020
532020
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
492015
Spherical structured feature maps for kernel approximation
Y Lyu
International Conference on Machine Learning (ICML), 2017
302017
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
302016
Two-phase mapping hashing
WWY Ng, Y Lv, DS Yeung, PPK Chan
Neurocomputing 151, 1423-1429, 2015
152015
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
122017
Efficient batch black-box optimization with deterministic regret bounds
Y Lyu, Y Yuan, IW Tsang
arXiv preprint arXiv:1905.10041, 2019
112019
Black-box Optimizer with Implicit Natural Gradient
Y Lyu, IW Tsang
arXiv preprint arXiv:1910.04301, 2019
9*2019
Subgroup-based Rank-1 Lattice Quasi-Monte Carlo
Y Lyu, Y Yuan, IW Tsang
Neural Information Processing Systems (NeurIPS), 2020
72020
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, 2024
52024
Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning
F Ye, Y Lyu, X Wang, Y Zhang, I Tsang
The Twelfth International Conference on Learning Representations, 2024
5*2024
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
52021
Diversified Batch Selection for Training Acceleration
F Hong, Y Lyu, J Yao, Y Zhang, IW Tsang, Y Wang
The Forty-first International Conference on Machine Learning (ICML 2024), 2024
32024
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 45 (10 …, 2023
32023
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
32016
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
32015
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
22023
Fast rank-1 lattice targeted sampling for black-box optimization
Y Lyu
Advances in Neural Information Processing Systems 36, 2023
22023
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Articles 1–20