Yueming Lyu

69 papers A* 15A 2B 1Journal 44Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Confundo: Learning to Generate Robust Poison for Practical RAG Systems.
CoRR
Haoyang Hu, Zhejun Jiang, Yueming Lyu, Junyuan Zhang, Yi Liu, Ka-Ho Chow
2026 J jnl
Exposing and Defending the Achilles' Heel of Video Mixture-of-Experts.
CoRR
Songping Wang, Qinglong Liu, Yueming Lyu, Ning Li, Ziwen He, Caifeng Shan
2026 J jnl
Fast Adversarial Training With Weak-to-Strong Spatial-Temporal Consistency in the Frequency Domain on Videos.
IEEE Trans. Inf. Forensics Secur.
Songping Wang, Hanqing Liu, Yueming Lyu, Xiantao Hu, Ziwen He, Wei Wang, Caifeng Shan, Liang Wang
2026 J jnl
Uncertainty-Aware Concept and Motion Segmentation for Semi-Supervised Angiography Videos.
CoRR
Yu Luo, Guangyu Wei, Yangfan Li, Jieyu He, Yueming Lyu
2025 J jnl
An Effective End-to-End Solution for Multimodal Action Recognition.
CoRR
Songping Wang, Xiantao Hu, Yueming Lyu, Caifeng Shan
2025 J jnl
CMSL: Cross-modal Style Learning for Few-shot Image Generation.
Mach. Intell. Res.
Yue Jiang, Yueming Lyu, Bo Peng, Wei Wang, Jing Dong
2025 — conf
Concept Corrector: Erase Concepts on the Fly for Text-to-Image Diffusion Models.
PRCV (5)
Zheling Meng, Bo Peng, Xiaochuan Jin, Yueming Lyu, Wei Wang, Jing Dong, Tieniu Tan
2025 J jnl
Concept Corrector: Erase concepts on the fly for text-to-image diffusion models.
CoRR
Zheling Meng, Bo Peng, Xiaochuan Jin, Yueming Lyu, Wei Wang, Jing Dong
2025 J jnl
Distributional Multi-objective Black-box Optimization for Diffusion-model Inference-time Multi-Target Generation.
CoRR
Kim Yong Tan, Yueming Lyu, Ivor W. Tsang, Yew-Soon Ong
2025 A* conf
Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity.
ICML
Zhenglin Wan, Xingrui Yu, David Mark Bossens, Yueming Lyu, Qing Guo, Flint Xiaofeng Fan, Yew-Soon Ong, Ivor W. Tsang
2025 — conf
FP-Director: Direction-Guided Latent Code Refinement for Facial-Preference Alignment in Text-to-Image Diffusion.
CCBR
Yue Jiang, Yueming Lyu, Tianxiang Ma, Bo Peng, Jing Dong
2025 A* conf
Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation.
ICLR
Kim Yong Tan, Yueming Lyu, Ivor W. Tsang, Yew-Soon Ong
2025 J jnl
Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation.
CoRR
Kim Yong Tan, Yueming Lyu, Ivor W. Tsang, Yew-Soon Ong
2025 A* conf
Frequency Domain Distributed Perturbations: Towards Query-Efficient Black-Box Adversarial Video Attack.
ACM Multimedia
Teng Jin, Ziwen He, Zhangjie Fu, Songping Wang, Yueming Lyu, Yufei Shi
2025 J jnl
GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection.
CoRR
Xin Gao, Jiyao Liu, Guanghao Li, Yueming Lyu, Jianxiong Gao, Weichen Yu, Ningsheng Xu, Liang Wang, Caifeng Shan, Ziwei Liu, Chenyang Si
2025 J jnl
Graph Potential Field Neural Network for Massive Agents Group-wise Path Planning.
Trans. Mach. Learn. Res.
Yueming Lyu, Xiaowei Zhou, Xingrui Yu, Ivor W. Tsang
2025 A* conf
Image-level Memorization Detection via Inversion-based Inference Perturbation.
ICLR
Yue Jiang, Haokun Lin, Yang Bai, Bo Peng, Zhili Liu, Yueming Lyu, Yong Yang, Xing Zheng, Jing Dong
2025 A conf
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration.
AAMAS
Xingrui Yu, Zhenglin Wan, David Mark Bossens, Yueming Lyu, Qing Guo, Ivor W. Tsang
2025 J jnl
Instant Preference Alignment for Text-to-Image Diffusion Models.
CoRR
Yang Li, Songlin Yang, Xiaoxuan Han, Wei Wang, Jing Dong, Yueming Lyu, Ziyu Xue
2025 J jnl
LLM-to-Phy3D: Physically Conform Online 3D Object Generation with LLMs.
CoRR
Melvin Wong, Yueming Lyu, Thiago Rios, Stefan Menzel, Yew-Soon Ong
2025 J jnl
MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary Programming.
CoRR
Chengqi Zheng, Jianda Chen, Yueming Lyu, Wen Zheng Terence Ng, Haopeng Zhang, Yew-Soon Ong, Ivor W. Tsang, Haiyan Yin
2025 J jnl
RunawayEvil: Jailbreaking the Image-to-Video Generative Models.
CoRR
Songping Wang, Rufan Qian, Yueming Lyu, Qinglong Liu, Linzhuang Zou, Jie Qin, Songhua Liu, Caifeng Shan
2025 J jnl
SafeRBench: A Comprehensive Benchmark for Safety Assessment in Large Reasoning Models.
CoRR
Xin Gao, Shaohan Yu, Zerui Chen, Yueming Lyu, Weichen Yu, Guanghao Li, Jiyao Liu, Jianxiong Gao, Jian Liang, Ziwei Liu, Chenyang Si
2025 A* conf
Sharpness-Aware Black-Box Optimization.
ICLR
Feiyang Ye, Yueming Lyu, Xuehao Wang, Masashi Sugiyama, Yu Zhang, Ivor W. Tsang
2025 J jnl
Towards Real-Time Fake News Detection under Evidence Scarcity.
CoRR
Guangyu Wei, Ke Han, Yueming Lyu, Yu Luo, Yue Jiang, Caifeng Shan, Nicu Sebe
2024 A* conf
Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning.
ICLR
Feiyang Ye, Yueming Lyu, Xuehao Wang, Yu Zhang, Ivor W. Tsang
2024 — conf
An Effective End-to-End Solution for Multimodal Action Recognition.
ICPR (Workshops and Challenges, 4)
Songping Wang, Haoxiang Rao, Xiantao Hu, Yueming Lyu, Caifeng Shan
2024 J jnl
Covariance-Adaptive Sequential Black-box Optimization for Diffusion Targeted Generation.
CoRR
Yueming Lyu, Kim Yong Tan, Yew Soon Ong, Ivor W. Tsang
2024 J jnl
DRAN: Detailed Region-Adaptive Normalization for Conditional Image Synthesis.
IEEE Trans. Multim.
Yueming Lyu, Peibin Chen, Jingna Sun, Bo Peng, Xu Wang, Jing Dong
2024 A* conf
Diversified Batch Selection for Training Acceleration.
ICML
Feng Hong, Yueming Lyu, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Yanfeng Wang
2024 J jnl
Diversified Batch Selection for Training Acceleration.
CoRR
Feng Hong, Yueming Lyu, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Yanfeng Wang
2024 — conf
Fine-Grained Partial Label Learning.
CAI
Cheng Chen, Yueming Lyu, Xingrui Yu, Jing Li, Ivor W. Tsang
2024 J jnl
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration.
CoRR
Xingrui Yu, Zhenglin Wan, David Mark Bossens, Yueming Lyu, Qing Guo, Ivor W. Tsang
2024 J jnl
InfoStyler: Disentanglement Information Bottleneck for Artistic Style Transfer.
IEEE Trans. Circuits Syst. Video Technol.
Yueming Lyu, Yue Jiang, Bo Peng, Jing Dong
2024 A* conf
Mitigating Social Biases in Text-to-Image Diffusion Models via Linguistic-Aligned Attention Guidance.
ACM Multimedia
Yue Jiang, Yueming Lyu, Ziwen He, Bo Peng, Jing Dong
2024 A* conf
On Harmonizing Implicit Subpopulations.
ICLR
Feng Hong, Jiangchao Yao, Yueming Lyu, Zhihan Zhou, Ivor W. Tsang, Ya Zhang, Yanfeng Wang
2024 J jnl
Quality Diversity Imitation Learning.
CoRR
Zhenglin Wan, Xingrui Yu, David Mark Bossens, Yueming Lyu, Qing Guo, Flint Xiaofeng Fan, Ivor W. Tsang
2024 J jnl
Sharpness-Aware Black-Box Optimization.
CoRR
Feiyang Ye, Yueming Lyu, Xuehao Wang, Masashi Sugiyama, Yu Zhang, Ivor W. Tsang
2023 J jnl
3D-Aware Adversarial Makeup Generation for Facial Privacy Protection.
CoRR
Yueming Lyu, Yue Jiang, Ziwen He, Bo Peng, Yunfan Liu, Jing Dong
2023 J jnl
3D-Aware Adversarial Makeup Generation for Facial Privacy Protection.
IEEE Trans. Pattern Anal. Mach. Intell.
Yueming Lyu, Yue Jiang, Ziwen He, Bo Peng, Yunfan Liu, Jing Dong
2023 J jnl
Adversary-Aware Partial label learning with Label distillation.
CoRR
Cheng Chen, Yueming Lyu, Ivor W. Tsang
2023 J jnl
DeltaEdit: Exploring Text-free Training for Text-Driven Image Manipulation.
CoRR
Yueming Lyu, Tianwei Lin, Fu Li, Dongliang He, Jing Dong, Tieniu Tan
2023 J jnl
DeltaSpace: A Semantic-aligned Feature Space for Flexible Text-guided Image Editing.
CoRR
Yueming Lyu, Kang Zhao, Bo Peng, Yue Jiang, Yingya Zhang, Jing Dong
2023 J jnl
Earning Extra Performance From Restrictive Feedbacks.
IEEE Trans. Pattern Anal. Mach. Intell.
Jing Li, Yuangang Pan, Yueming Lyu, Yinghua Yao, Yulei Sui, Ivor W. Tsang
2023 J jnl
Earning Extra Performance from Restrictive Feedbacks.
CoRR
Jing Li, Yuangang Pan, Yueming Lyu, Yinghua Yao, Yulei Sui, Ivor W. Tsang
2023 A conf
Exploring Information Bottleneck for Weakly Supervised Semantic Segmentation.
ECAI
Jie Qin, Yueming Lyu, Xingang Wang
2023 A* conf
Fast Rank-1 Lattice Targeted Sampling for Black-box Optimization.
NeurIPS
Yueming Lyu
2023 J jnl
InfoStyler: Disentanglement Information Bottleneck for Artistic Style Transfer.
CoRR
Yueming Lyu, Yue Jiang, Bo Peng, Jing Dong
2023 J jnl
RS-Corrector: Correcting the Racial Stereotypes in Latent Diffusion Models.
CoRR
Yue Jiang, Yueming Lyu, Tianxiang Ma, Bo Peng, Jing Dong
2023 J jnl
Unfolded Self-Reconstruction LSH: Towards Machine Unlearning in Approximate Nearest Neighbour Search.
CoRR
Kim Yong Tan, Yueming Lyu, Yew Soon Ong, Ivor W. Tsang
2021 — conf
Black-Box Optimizer with Stochastic Implicit Natural Gradient.
ECML/PKDD (3)
Yueming Lyu, Ivor W. Tsang
2021 J jnl
Detailed Region-Adaptive Normalization for Heavy Makeup Transfer.
CoRR
Yueming Lyu, Peibin Chen, Jingna Sun, Xu Wang, Jing Dong, Tieniu Tan
2021 — —
Efficient and Robust Black-box Integral-approximation and Optimization
Yueming Lyu
2021 J jnl
Neural Optimization Kernel: Towards Robust Deep Learning.
CoRR
Yueming Lyu, Ivor W. Tsang
2021 J jnl
Online Mental Fatigue Monitoring via Indirect Brain Dynamics Evaluation.
Neural Comput.
Yuangang Pan, Ivor W. Tsang, Yueming Lyu, Avinash Kumar Singh, Chin-Teng Lin
2021 A* conf
SOGAN: 3D-Aware Shadow and Occlusion Robust GAN for Makeup Transfer.
ACM Multimedia
Yueming Lyu, Jing Dong, Bo Peng, Wei Wang, Tieniu Tan
2021 J jnl
SOGAN: 3D-Aware Shadow and Occlusion Robust GAN for Makeup Transfer.
CoRR
Yueming Lyu, Jing Dong, Bo Peng, Wei Wang, Tieniu Tan
2020 A* conf
Curriculum Loss: Robust Learning and Generalization against Label Corruption.
ICLR
Yueming Lyu, Ivor W. Tsang
2020 A* conf
Intrinsic Reward Driven Imitation Learning via Generative Model.
ICML
Xingrui Yu, Yueming Lyu, Ivor W. Tsang
2020 J jnl
Intrinsic Reward Driven Imitation Learning via Generative Model.
CoRR
Xingrui Yu, Yueming Lyu, Ivor W. Tsang
2020 A* conf
Subgroup-based Rank-1 Lattice Quasi-Monte Carlo.
NeurIPS
Yueming Lyu, Yuan Yuan, Ivor W. Tsang
2020 J jnl
Subgroup-based Rank-1 Lattice Quasi-Monte Carlo.
CoRR
Yueming Lyu, Yuan Yuan, Ivor W. Tsang
2019 J jnl
Curriculum Loss: Robust Learning and Generalization against Label Corruption.
CoRR
Yueming Lyu, Ivor W. Tsang
2019 J jnl
Efficient Batch Black-box Optimization with Deterministic Regret Bounds.
CoRR
Yueming Lyu, Yuan Yuan, Ivor W. Tsang
2019 — conf
Marginalized Average Attentional Network for Weakly-Supervised Learning.
ICLR (Poster)
Yuan Yuan, Yueming Lyu, Xi Shen, Ivor W. Tsang, Dit-Yan Yeung
2019 J jnl
Marginalized Average Attentional Network for Weakly-Supervised Learning.
CoRR
Yuan Yuan, Yueming Lyu, Xi Shen, Ivor W. Tsang, Dit-Yan Yeung
2019 J jnl
Stochastic Implicit Natural Gradient for Black-box Optimization.
CoRR
Yueming Lyu, Ivor W. Tsang
2017 A* conf
Spherical Structured Feature Maps for Kernel Approximation.
ICML
Yueming Lyu
2016 B conf
A cone order sequence based multi-objective evolutionary algorithm.
CEC
Yueming Lyu, Qingfu Zhang, Ka-Chun Wong