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Yueming Lyu
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2020 – today
- 2024
- [j5]Yueming Lyu
, Yue Jiang, Bo Peng
InfoStyler: Disentanglement Information Bottleneck for Artistic Style Transfer. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2070-2082 (2024) - [j4]Yueming Lyu
DRAN: Detailed Region-Adaptive Normalization for Conditional Image Synthesis. IEEE Trans. Multim. 26: 1969-1982 (2024) - [c14]Feng Hong, Jiangchao Yao, Yueming Lyu, Zhihan Zhou, Ivor W. Tsang, Ya Zhang, Yanfeng Wang:
On Harmonizing Implicit Subpopulations. ICLR 2024 - [c13]Feiyang Ye, Yueming Lyu, Xuehao Wang, Yu Zhang, Ivor W. Tsang:
Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning. ICLR 2024 - [c12]Feng Hong, Yueming Lyu, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Yanfeng Wang:
Diversified Batch Selection for Training Acceleration. ICML 2024 - [c11]Yue Jiang
Mitigating Social Biases in Text-to-Image Diffusion Models via Linguistic-Aligned Attention Guidance. ACM Multimedia 2024: 3391-3400 - [i21]Yueming Lyu, Kim Yong Tan, Yew Soon Ong, Ivor W. Tsang:
Covariance-Adaptive Sequential Black-box Optimization for Diffusion Targeted Generation. CoRR abs/2406.00812 (2024) - [i20]Feng Hong, Yueming Lyu, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Yanfeng Wang:
Diversified Batch Selection for Training Acceleration. CoRR abs/2406.04872 (2024) - [i19]Zhenglin Wan, Xingrui Yu, David Mark Bossens, Yueming Lyu, Qing Guo, Flint Xiaofeng Fan, Ivor W. Tsang:
Quality Diversity Imitation Learning. CoRR abs/2410.06151 (2024) - [i18]Feiyang Ye, Yueming Lyu, Xuehao Wang, Masashi Sugiyama, Yu Zhang, Ivor W. Tsang:
Sharpness-Aware Black-Box Optimization. CoRR abs/2410.12457 (2024) - 2023
- [j3]Jing Li
Earning Extra Performance From Restrictive Feedbacks. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11753-11765 (2023) - [j2]Yueming Lyu
3D-Aware Adversarial Makeup Generation for Facial Privacy Protection. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13438-13453 (2023) - [c10]Jie Qin, Yueming Lyu, Xingang Wang:
Exploring Information Bottleneck for Weakly Supervised Semantic Segmentation. ECAI 2023: 1906-1913 - [c9]Yueming Lyu:
Fast Rank-1 Lattice Targeted Sampling for Black-box Optimization. NeurIPS 2023 - [i17]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) - [i16]Cheng Chen, Yueming Lyu, Ivor W. Tsang
Adversary-Aware Partial label learning with Label distillation. CoRR abs/2304.00498 (2023) - [i15]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) - [i14]Jing Li, Yuangang Pan, Yueming Lyu, Yinghua Yao, Yulei Sui, Ivor W. Tsang
Earning Extra Performance from Restrictive Feedbacks. CoRR abs/2304.14831 (2023) - [i13]Yueming Lyu, Yue Jiang, Ziwen He, Bo Peng, Yunfan Liu, Jing Dong:
3D-Aware Adversarial Makeup Generation for Facial Privacy Protection. CoRR abs/2306.14640 (2023) - [i12]Yueming Lyu, Yue Jiang, Bo Peng, Jing Dong:
InfoStyler: Disentanglement Information Bottleneck for Artistic Style Transfer. CoRR abs/2307.16227 (2023) - [i11]Yueming Lyu, Kang Zhao, Bo Peng, Yue Jiang, Yingya Zhang, Jing Dong:
DeltaSpace: A Semantic-aligned Feature Space for Flexible Text-guided Image Editing. CoRR abs/2310.08785 (2023) - [i10]Yue Jiang, Yueming Lyu, Tianxiang Ma, Bo Peng, Jing Dong:
RS-Corrector: Correcting the Racial Stereotypes in Latent Diffusion Models. CoRR abs/2312.04810 (2023) - 2021
- [b1]Yueming Lyu:
Efficient and Robust Black-box Integral-approximation and Optimization. University of Technology Sydney, Australia, 2021 - [j1]Yuangang Pan
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
Marginalized Average Attentional Network for Weakly-Supervised Learning. ICLR (Poster) 2019 - [i4]Yuan Yuan
Marginalized Average Attentional Network for Weakly-Supervised Learning. CoRR abs/1905.08586 (2019) - [i3]Yueming Lyu, Yuan Yuan
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
A cone order sequence based multi-objective evolutionary algorithm. CEC 2016: 2169-2176
Coauthor Index
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last updated on 2024-11-27 20:31 CET by the dblp team
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