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ORCIDYueming Lyu
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2020 – today
- 2023
[i13]Yueming Lyu, Tianwei Lin, Fu Li, Dongliang He, Jing Dong, Tieniu Tan:
DeltaEdit: Exploring Text-free Training for Text-Driven Image Manipulation. CoRR abs/2303.06285 (2023)- [i12]Cheng Chen, Yueming Lyu, Ivor W. Tsang:
Adversary-Aware Partial label learning with Label distillation. CoRR abs/2304.00498 (2023) - [i11]Kim Yong Tan, Yueming Lyu, Yew Soon Ong, Ivor W. Tsang:
Unfolded Self-Reconstruction LSH: Towards Machine Unlearning in Approximate Nearest Neighbour Search. CoRR abs/2304.02350 (2023) - [i10]Jing Li, Yuangang Pan, Yueming Lyu, Yinghua Yao, Yulei Sui, Ivor W. Tsang:
Earning Extra Performance from Restrictive Feedbacks. CoRR abs/2304.14831 (2023) - 2021
- [b1]Yueming Lyu:
Efficient and Robust Black-box Integral-approximation and Optimization. University of Technology Sydney, Australia, 2021 - [j1]Yuangang Pan
, Ivor W. Tsang, Yueming Lyu, Avinash Kumar Singh, Chin-Teng Lin:
Online Mental Fatigue Monitoring via Indirect Brain Dynamics Evaluation. Neural Comput. 33(6): 1616-1655 (2021) - [c8]Yueming Lyu, Jing Dong, Bo Peng, Wei Wang, Tieniu Tan:
SOGAN: 3D-Aware Shadow and Occlusion Robust GAN for Makeup Transfer. ACM Multimedia 2021: 3601-3609 - [c7]Yueming Lyu, Ivor W. Tsang:
Black-Box Optimizer with Stochastic Implicit Natural Gradient. ECML/PKDD (3) 2021: 217-232 - [i9]Yueming Lyu, Jing Dong, Bo Peng, Wei Wang, Tieniu Tan:
SOGAN: 3D-Aware Shadow and Occlusion Robust GAN for Makeup Transfer. CoRR abs/2104.10567 (2021) - [i8]Yueming Lyu, Ivor W. Tsang:
Neural Optimization Kernel: Towards Robust Deep Learning. CoRR abs/2106.06097 (2021) - [i7]Yueming Lyu, Peibin Chen, Jingna Sun, Xu Wang, Jing Dong, Tieniu Tan:
Detailed Region-Adaptive Normalization for Heavy Makeup Transfer. CoRR abs/2109.14525 (2021) - 2020
- [c6]Yueming Lyu, Ivor W. Tsang:
Curriculum Loss: Robust Learning and Generalization against Label Corruption. ICLR 2020 - [c5]Xingrui Yu, Yueming Lyu, Ivor W. Tsang:
Intrinsic Reward Driven Imitation Learning via Generative Model. ICML 2020: 10925-10935 - [c4]Yueming Lyu, Yuan Yuan, Ivor W. Tsang:
Subgroup-based Rank-1 Lattice Quasi-Monte Carlo. NeurIPS 2020 - [i6]Xingrui Yu, Yueming Lyu, Ivor W. Tsang:
Intrinsic Reward Driven Imitation Learning via Generative Model. CoRR abs/2006.15061 (2020) - [i5]Yueming Lyu, Yuan Yuan, Ivor W. Tsang:
Subgroup-based Rank-1 Lattice Quasi-Monte Carlo. CoRR abs/2011.06446 (2020)
2010 – 2019
- 2019
- [c3]Yuan Yuan, Yueming Lyu, Xi Shen, Ivor W. Tsang, Dit-Yan Yeung:
Marginalized Average Attentional Network for Weakly-Supervised Learning. ICLR (Poster) 2019 - [i4]Yuan Yuan, Yueming Lyu, Xi Shen, Ivor W. Tsang, Dit-Yan Yeung:
Marginalized Average Attentional Network for Weakly-Supervised Learning. CoRR abs/1905.08586 (2019) - [i3]Yueming Lyu, Yuan Yuan, Ivor W. Tsang:
Efficient Batch Black-box Optimization with Deterministic Regret Bounds. CoRR abs/1905.10041 (2019) - [i2]Yueming Lyu, Ivor W. Tsang:
Curriculum Loss: Robust Learning and Generalization against Label Corruption. CoRR abs/1905.10045 (2019) - [i1]Yueming Lyu, Ivor W. Tsang:
Stochastic Implicit Natural Gradient for Black-box Optimization. CoRR abs/1910.04301 (2019) - 2017
- [c2]Yueming Lyu:
Spherical Structured Feature Maps for Kernel Approximation. ICML 2017: 2256-2264 - 2016
- [c1]Yueming Lyu, Qingfu Zhang, Ka-Chun Wong:
A cone order sequence based multi-objective evolutionary algorithm. CEC 2016: 2169-2176
Coauthor Index
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