Yueming Lyu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 37

Top Topics

Weakly Supervised

Diffusion Models

Information Bottleneck

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Feiyang Ye, Yueming Lyu, Xuehao Wang, Yu Zhang, Ivor W. Tsang
Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning. ICLR (2024)
Feng Hong, Yueming Lyu, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Yanfeng Wang
Diversified Batch Selection for Training Acceleration. CoRR (2024)
Yueming Lyu, Kim Yong Tan, Yew Soon Ong, Ivor W. Tsang
Covariance-Adaptive Sequential Black-box Optimization for Diffusion Targeted Generation. CoRR (2024)
Yueming Lyu, Yue Jiang, Bo Peng, Jing Dong
InfoStyler: Disentanglement Information Bottleneck for Artistic Style Transfer. IEEE Trans. Circuits Syst. Video Technol. 34 (4) (2024)
Yueming Lyu, Peibin Chen, Jingna Sun, Bo Peng, Xu Wang, Jing Dong
DRAN: Detailed Region-Adaptive Normalization for Conditional Image Synthesis. IEEE Trans. Multim. 26 (2024)
Feng Hong, Jiangchao Yao, Yueming Lyu, Zhihan Zhou, Ivor W. Tsang, Ya Zhang, Yanfeng Wang
On Harmonizing Implicit Subpopulations. ICLR (2024)
Kim Yong Tan, Yueming Lyu, Yew Soon Ong, Ivor W. Tsang
Unfolded Self-Reconstruction LSH: Towards Machine Unlearning in Approximate Nearest Neighbour Search. CoRR (2023)
Yueming Lyu, Tianwei Lin, Fu Li, Dongliang He, Jing Dong, Tieniu Tan
DeltaEdit: Exploring Text-free Training for Text-Driven Image Manipulation. CVPR (2023)
Yueming Lyu, Yue Jiang, Ziwen He, Bo Peng, Yunfan Liu, Jing Dong
3D-Aware Adversarial Makeup Generation for Facial Privacy Protection. CoRR (2023)
Yueming Lyu
Fast Rank-1 Lattice Targeted Sampling for Black-box Optimization. NeurIPS (2023)
Jie Qin, Yueming Lyu, Xingang Wang
Exploring Information Bottleneck for Weakly Supervised Semantic Segmentation. ECAI (2023)
Yueming Lyu, Yue Jiang, Ziwen He, Bo Peng, Yunfan Liu, Jing Dong
3D-Aware Adversarial Makeup Generation for Facial Privacy Protection. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Yue Jiang, Yueming Lyu, Tianxiang Ma, Bo Peng, Jing Dong
RS-Corrector: Correcting the Racial Stereotypes in Latent Diffusion Models. CoRR (2023)
Jing Li, Yuangang Pan, Yueming Lyu, Yinghua Yao, Yulei Sui, Ivor W. Tsang
Earning Extra Performance From Restrictive Feedbacks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (10) (2023)
Cheng Chen, Yueming Lyu, Ivor W. Tsang
Adversary-Aware Partial label learning with Label distillation. CoRR (2023)
Yueming Lyu, Yue Jiang, Bo Peng, Jing Dong
InfoStyler: Disentanglement Information Bottleneck for Artistic Style Transfer. CoRR (2023)
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 (2023)
Jing Li, Yuangang Pan, Yueming Lyu, Yinghua Yao, Yulei Sui, Ivor W. Tsang
Earning Extra Performance from Restrictive Feedbacks. CoRR (2023)
Yueming Lyu, Tianwei Lin, Fu Li, Dongliang He, Jing Dong, Tieniu Tan
DeltaEdit: Exploring Text-free Training for Text-Driven Image Manipulation. CoRR (2023)
Yueming Lyu, Peibin Chen, Jingna Sun, Xu Wang, Jing Dong, Tieniu Tan
Detailed Region-Adaptive Normalization for Heavy Makeup Transfer. CoRR (2021)
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) (2021)
Yueming Lyu, Jing Dong, Bo Peng, Wei Wang, Tieniu Tan
SOGAN: 3D-Aware Shadow and Occlusion Robust GAN for Makeup Transfer. ACM Multimedia (2021)
Yueming Lyu, Ivor W. Tsang
Black-Box Optimizer with Stochastic Implicit Natural Gradient. ECML/PKDD (3) (2021)
Yueming Lyu, Jing Dong, Bo Peng, Wei Wang, Tieniu Tan
SOGAN: 3D-Aware Shadow and Occlusion Robust GAN for Makeup Transfer. CoRR (2021)
Yueming Lyu, Ivor W. Tsang
Neural Optimization Kernel: Towards Robust Deep Learning. CoRR (2021)
Xingrui Yu, Yueming Lyu, Ivor W. Tsang
Intrinsic Reward Driven Imitation Learning via Generative Model. ICML (2020)
Xingrui Yu, Yueming Lyu, Ivor W. Tsang
Intrinsic Reward Driven Imitation Learning via Generative Model. CoRR (2020)
Yueming Lyu, Ivor W. Tsang
Curriculum Loss: Robust Learning and Generalization against Label Corruption. ICLR (2020)
Yueming Lyu, Yuan Yuan, Ivor W. Tsang
Subgroup-based Rank-1 Lattice Quasi-Monte Carlo. CoRR (2020)
Yueming Lyu, Yuan Yuan, Ivor W. Tsang
Subgroup-based Rank-1 Lattice Quasi-Monte Carlo. NeurIPS (2020)
Yueming Lyu, Ivor W. Tsang
Curriculum Loss: Robust Learning and Generalization against Label Corruption. CoRR (2019)
Yueming Lyu, Yuan Yuan, Ivor W. Tsang
Efficient Batch Black-box Optimization with Deterministic Regret Bounds. CoRR (2019)
Yueming Lyu, Ivor W. Tsang
Stochastic Implicit Natural Gradient for Black-box Optimization. CoRR (2019)
Yuan Yuan, Yueming Lyu, Xi Shen, Ivor W. Tsang, Dit-Yan Yeung
Marginalized Average Attentional Network for Weakly-Supervised Learning. ICLR (Poster) (2019)
Yuan Yuan, Yueming Lyu, Xi Shen, Ivor W. Tsang, Dit-Yan Yeung
Marginalized Average Attentional Network for Weakly-Supervised Learning. CoRR (2019)
Yueming Lyu
Spherical Structured Feature Maps for Kernel Approximation. ICML (2017)
Yueming Lyu, Qingfu Zhang, Ka-Chun Wong
A cone order sequence based multi-objective evolutionary algorithm. CEC (2016)