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ORCIDYueming Lyu
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2020 – today
- 2026
[j8]Songping Wang
, Hanqing Liu, Yueming Lyu, Xiantao Hu, Ziwen He, Wei Wang, Caifeng Shan, Liang Wang:
Fast Adversarial Training With Weak-to-Strong Spatial-Temporal Consistency in the Frequency Domain on Videos. IEEE Trans. Inf. Forensics Secur. 21: 681-696 (2026)- [c27]Ke Han, Yueming Lyu, Weichen Yu, Nicu Sebe:
ATM: Enhanced Alignment for Text-to-Motion Generation. WACV 2026: 6862-6872 - [i43]Songping Wang, Qinglong Liu, Yueming Lyu, Ning Li, Ziwen He, Caifeng Shan:
Exposing and Defending the Achilles' Heel of Video Mixture-of-Experts. CoRR abs/2602.01369 (2026) - [i42]Haoyang Hu, Zhejun Jiang, Yueming Lyu, Junyuan Zhang, Yi Liu, Ka-Ho Chow:
Confundo: Learning to Generate Robust Poison for Practical RAG Systems. CoRR abs/2602.06616 (2026) - [i41]Yu Luo, Guangyu Wei, Yangfan Li, Jieyu He, Yueming Lyu:
Uncertainty-Aware Concept and Motion Segmentation for Semi-Supervised Angiography Videos. CoRR abs/2603.00881 (2026) - [i40]Jie-Jing Shao, Haiyan Yin, Yueming Lyu, Xingrui Yu, Lan-Zhe Guo, Ivor W. Tsang, James Kwok, Yufeng Li:
Lifting Traces to Logic: Programmatic Skill Induction with Neuro-Symbolic Learning for Long-Horizon Agentic Tasks. CoRR abs/2605.01293 (2026) - [i39]Atsushi Nitanda, Dake Bu, Yueming Lyu, Tanya Veeravalli:
Slowly Annealed Langevin Dynamics: Theory and Applications to Training-Free Guided Generation. CoRR abs/2605.07950 (2026) - [i38]Kim Yong Tan, Yueming Lyu, Ivor W. Tsang, Yew-Soon Ong:
Flow-Direct: Feedback-Efficient and Reusable Guidance for Flow Models via Non-Parametric Guidance Field. CoRR abs/2605.16348 (2026) - [i37]Ziyuan Chen, Yueming Lyu, Yi Liu, Weixiang Han, Jin-Song Dong, Caifeng Shan, Tieniu Tan:
RADAR: Defending RAG Dynamically against Retrieval Corruption. CoRR abs/2605.22041 (2026) - [i36]Pengyuan Zhu, Ivor W. Tsang, Yueming Lyu:
IKNO: Infinite-order Kernel Neural Operators. CoRR abs/2605.22182 (2026) - [i35]Peiyang Li, Songping Wang, Yi Huang, Yanhua Shi, Chenhao Zhang, Qi Li, Yueming Lyu, Caifeng Shan, Fengting Li, Chao Feng, Chuanqun Zhu, Liang Chen:
AgentCanary: A Security Evaluation Framework for Autonomous AI Agents in Real Executable Environments. CoRR abs/2606.10484 (2026) - [i34]Songping Wang, Yueming Lyu, Shiqi Liu, Chen Zhao, Ziyuan Chen, Ning Li, Jing Dong, Caifeng Shan:
Hierarchical Anti-Aesthetics: Protecting Facial Privacy against Customized Diffusion Models. CoRR abs/2607.02038 (2026) - 2025
- [j7]Yue Jiang, Yueming Lyu, Bo Peng, Wei Wang, Jing Dong:
CMSL: Cross-modal Style Learning for Few-shot Image Generation. Mach. Intell. Res. 22(4): 752-768 (2025) - [j6]Yueming Lyu, Xiaowei Zhou, Xingrui Yu, Ivor W. Tsang:
Graph Potential Field Neural Network for Massive Agents Group-wise Path Planning. Trans. Mach. Learn. Res. 2025 (2025) - [c26]Yue Jiang, Yueming Lyu, Tianxiang Ma, Bo Peng, Jing Dong:
FP-Director: Direction-Guided Latent Code Refinement for Facial-Preference Alignment in Text-to-Image Diffusion. CCBR 2025: 226-236 - [c25]Feiyang Ye, Yueming Lyu, Xuehao Wang, Masashi Sugiyama, Yu Zhang, Ivor W. Tsang:
Sharpness-Aware Black-Box Optimization. ICLR 2025 - [c24]Yue Jiang, Haokun Lin, Yang Bai, Bo Peng, Zhili Liu, Yueming Lyu, Yong Yang, Xing Zheng, Jing Dong:
Image-level Memorization Detection via Inversion-based Inference Perturbation. ICLR 2025 - [c23]Kim Yong Tan, Yueming Lyu, Ivor W. Tsang, Yew-Soon Ong:
Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation. ICLR 2025 - [c22]Zhenglin Wan, Xingrui Yu, David Mark Bossens, Yueming Lyu, Qing Guo, Flint Xiaofeng Fan, Yew-Soon Ong, Ivor W. Tsang:
Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity. ICML 2025 - [c21]Xingrui Yu, Zhenglin Wan, David Mark Bossens, Yueming Lyu, Qing Guo, Ivor W. Tsang:
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration. AAMAS 2025: 2271-2280 - [c20]Teng Jin, Ziwen He, Zhangjie Fu, Songping Wang, Yueming Lyu, Yufei Shi:
Frequency Domain Distributed Perturbations: Towards Query-Efficient Black-Box Adversarial Video Attack. ACM Multimedia 2025: 8360-8368 - [c19]Haotian Chi, Zeyu Feng, Yueming Lyu, Chengqi Zheng, Linbo Luo, Yew Soon Ong, Ivor W. Tsang, Hechang Chen, Yi Chang, Haiyan Yin:
InstructFlow: Adaptive Symbolic Constraint-Guided Code Generation for Long-Horizon Planning. NeurIPS 2025 - [c18]Xin Gao, Jiyao Liu, Guanghao Li, Yueming Lyu, Jianxiong Gao, Weichen Yu, Ningsheng Xu, Liang Wang, Caifeng Shan, Ziwei Liu, Chenyang Si:
GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection. NeurIPS 2025 - [c17]Zheling Meng, Bo Peng, Xiaochuan Jin, Yueming Lyu, Wei Wang, Jing Dong, Tieniu Tan:
Concept Corrector: Erase Concepts on the Fly for Text-to-Image Diffusion Models. PRCV (5) 2025: 91-105 - [i33]Kim Yong Tan, Yueming Lyu, Ivor W. Tsang, Yew-Soon Ong:
Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation. CoRR abs/2502.01692 (2025) - [i32]Zheling Meng, Bo Peng, Xiaochuan Jin, Yueming Lyu, Wei Wang, Jing Dong:
Concept Corrector: Erase concepts on the fly for text-to-image diffusion models. CoRR abs/2502.16368 (2025) - [i31]Chengqi Zheng, Jianda Chen, Yueming Lyu, Wen Zheng Terence Ng, Haopeng Zhang, Yew-Soon Ong, Ivor W. Tsang, Haiyan Yin:
MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary Programming. CoRR abs/2505.22967 (2025) - [i30]Songping Wang, Xiantao Hu, Yueming Lyu, Caifeng Shan:
An Effective End-to-End Solution for Multimodal Action Recognition. CoRR abs/2506.09345 (2025) - [i29]Melvin Wong, Yueming Lyu, Thiago Rios, Stefan Menzel, Yew-Soon Ong:
LLM-to-Phy3D: Physically Conform Online 3D Object Generation with LLMs. CoRR abs/2506.11148 (2025) - [i28]Yang Li, Songlin Yang, Xiaoxuan Han, Wei Wang, Jing Dong, Yueming Lyu, Ziyu Xue:
Instant Preference Alignment for Text-to-Image Diffusion Models. CoRR abs/2508.17718 (2025) - [i27]Guangyu Wei, Ke Han, Yueming Lyu, Yu Luo, Yue Jiang, Caifeng Shan, Nicu Sebe:
Towards Real-Time Fake News Detection under Evidence Scarcity. CoRR abs/2510.11277 (2025) - [i26]Xin Gao, Jiyao Liu, Guanghao Li, Yueming Lyu, Jianxiong Gao, Weichen Yu, Ningsheng Xu, Liang Wang, Caifeng Shan, Ziwei Liu, Chenyang Si:
GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection. CoRR abs/2510.17131 (2025) - [i25]Kim Yong Tan, Yueming Lyu, Ivor W. Tsang, Yew-Soon Ong:
Distributional Multi-objective Black-box Optimization for Diffusion-model Inference-time Multi-Target Generation. CoRR abs/2510.26278 (2025) - [i24]Xin Gao, Shaohan Yu, Zerui Chen, Yueming Lyu, Weichen Yu, Guanghao Li, Jiyao Liu, Jianxiong Gao, Jian Liang, Ziwei Liu, Chenyang Si:
SafeRBench: A Comprehensive Benchmark for Safety Assessment in Large Reasoning Models. CoRR abs/2511.15169 (2025) - [i23]Songping Wang, Rufan Qian, Yueming Lyu, Qinglong Liu, Linzhuang Zou, Jie Qin, Songhua Liu, Caifeng Shan:
RunawayEvil: Jailbreaking the Image-to-Video Generative Models. CoRR abs/2512.06674 (2025) - 2024
- [j5]Yueming Lyu, Yue Jiang, Bo Peng, Jing Dong:
InfoStyler: Disentanglement Information Bottleneck for Artistic Style Transfer. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2070-2082 (2024) - [j4]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: 1969-1982 (2024) - [c16]Feng Hong, Jiangchao Yao, Yueming Lyu, Zhihan Zhou, Ivor W. Tsang, Ya Zhang, Yanfeng Wang:
On Harmonizing Implicit Subpopulations. ICLR 2024 - [c15]Feiyang Ye, Yueming Lyu, Xuehao Wang, Yu Zhang, Ivor W. Tsang:
Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning. ICLR 2024 - [c14]Feng Hong, Yueming Lyu, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Yanfeng Wang:
Diversified Batch Selection for Training Acceleration. ICML 2024: 18648-18667 - [c13]Songping Wang, Haoxiang Rao, Xiantao Hu, Yueming Lyu, Caifeng Shan:
An Effective End-to-End Solution for Multimodal Action Recognition. ICPR (Workshops and Challenges, 4) 2024: 324-338 - [c12]Cheng Chen, Yueming Lyu, Xingrui Yu, Jing Li, Ivor W. Tsang:
Fine-Grained Partial Label Learning. CAI 2024: 587-596 - [c11]Yue Jiang, Yueming Lyu, Ziwen He, Bo Peng, Jing Dong:
Mitigating Social Biases in Text-to-Image Diffusion Models via Linguistic-Aligned Attention Guidance. ACM Multimedia 2024: 3391-3400 - [i22]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) - [i21]Feng Hong, Yueming Lyu, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Yanfeng Wang:
Diversified Batch Selection for Training Acceleration. CoRR abs/2406.04872 (2024) - [i20]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) - [i19]Feiyang Ye, Yueming Lyu, Xuehao Wang, Masashi Sugiyama, Yu Zhang, Ivor W. Tsang:
Sharpness-Aware Black-Box Optimization. CoRR abs/2410.12457 (2024) - [i18]Xingrui Yu, Zhenglin Wan, David Mark Bossens, Yueming Lyu, Qing Guo, Ivor W. Tsang:
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration. CoRR abs/2411.06965 (2024) - 2023
- [j3]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): 11753-11765 (2023) - [j2]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): 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, 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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last updated on 2026-08-20 00:37 CEST by the dblp team
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