Yueming Lyu

According to our database, Yueming Lyu authored at least 25 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

InfoStyler: Disentanglement Information Bottleneck for Artistic Style Transfer.

Yueming Lyu, Yue Jiang, Bo Peng, Jing Dong

IEEE Trans. Circuits Syst. Video Technol., April, 2024

DRAN: Detailed Region-Adaptive Normalization for Conditional Image Synthesis.

Yueming Lyu, Peibin Chen, Jingna Sun, Bo Peng, Xu Wang, Jing Dong

IEEE Trans. Multim., 2024

2023

3D-Aware Adversarial Makeup Generation for Facial Privacy Protection.

Yueming Lyu, Yue Jiang, Ziwen He, Bo Peng, Yunfan Liu, Jing Dong

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Earning Extra Performance From Restrictive Feedbacks.

Jing Li, Yuangang Pan, Yueming Lyu, Yinghua Yao, Yulei Sui, Ivor W. Tsang

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

RS-Corrector: Correcting the Racial Stereotypes in Latent Diffusion Models.

Yue Jiang, Yueming Lyu, Tianxiang Ma, Bo Peng, Jing Dong

CoRR, 2023

DeltaSpace: A Semantic-aligned Feature Space for Flexible Text-guided Image Editing.

Yueming Lyu, Kang Zhao, Bo Peng, Yue Jiang, Yingya Zhang, Jing Dong

CoRR, 2023

Unfolded Self-Reconstruction LSH: Towards Machine Unlearning in Approximate Nearest Neighbour Search.

Kim Yong Tan, Yueming Lyu, Yew Soon Ong, Ivor W. Tsang

CoRR, 2023

Adversary-Aware Partial label learning with Label distillation.

Cheng Chen, Yueming Lyu, Ivor W. Tsang

CoRR, 2023

DeltaEdit: Exploring Text-free Training for Text-Driven Image Manipulation.

Yueming Lyu, Tianwei Lin, Fu Li, Dongliang He, Jing Dong, Tieniu Tan

CoRR, 2023

Fast Rank-1 Lattice Targeted Sampling for Black-box Optimization.

Yueming Lyu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Exploring Information Bottleneck for Weakly Supervised Semantic Segmentation.

Jie Qin, Yueming Lyu, Xingang Wang

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2021

Efficient and Robust Black-box Integral-approximation and Optimization

Yueming Lyu

PhD thesis, 2021

Online Mental Fatigue Monitoring via Indirect Brain Dynamics Evaluation.

Yuangang Pan, Ivor W. Tsang, Yueming Lyu, Avinash Kumar Singh, Chin-Teng Lin

Neural Comput., 2021

Detailed Region-Adaptive Normalization for Heavy Makeup Transfer.

Yueming Lyu, Peibin Chen, Jingna Sun, Xu Wang, Jing Dong, Tieniu Tan

CoRR, 2021

Neural Optimization Kernel: Towards Robust Deep Learning.

Yueming Lyu, Ivor W. Tsang

CoRR, 2021

Black-Box Optimizer with Stochastic Implicit Natural Gradient.

Yueming Lyu, Ivor W. Tsang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

SOGAN: 3D-Aware Shadow and Occlusion Robust GAN for Makeup Transfer.

Yueming Lyu, Jing Dong, Bo Peng, Wei Wang, Tieniu Tan

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020

Subgroup-based Rank-1 Lattice Quasi-Monte Carlo.

Yueming Lyu, Yuan Yuan, Ivor W. Tsang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Intrinsic Reward Driven Imitation Learning via Generative Model.

Xingrui Yu, Yueming Lyu, Ivor W. Tsang

Proceedings of the 37th International Conference on Machine Learning, 2020

Curriculum Loss: Robust Learning and Generalization against Label Corruption.

Yueming Lyu, Ivor W. Tsang

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Stochastic Implicit Natural Gradient for Black-box Optimization.

Yueming Lyu, Ivor W. Tsang

CoRR, 2019

Efficient Batch Black-box Optimization with Deterministic Regret Bounds.

Yueming Lyu, Yuan Yuan, Ivor W. Tsang

CoRR, 2019

Marginalized Average Attentional Network for Weakly-Supervised Learning.

Yuan Yuan, Yueming Lyu, Xi Shen, Ivor W. Tsang, Dit-Yan Yeung

Proceedings of the 7th International Conference on Learning Representations, 2019

2017

Spherical Structured Feature Maps for Kernel Approximation.

Yueming Lyu

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

A cone order sequence based multi-objective evolutionary algorithm.

Yueming Lyu, Qingfu Zhang, Ka-Chun Wong

Proceedings of the IEEE Congress on Evolutionary Computation, 2016