A cone order sequence based multi-objective evolutionary algorithm. - Yueming Lyu; Qingfu Zhang 001; Ka-Chun Wong (CEC, 2016)

Spherical Structured Feature Maps for Kernel Approximation. - Yueming Lyu (ICML, 2017)

Marginalized Average Attentional Network for Weakly-Supervised Learning. - Yuan Yuan 002; Yueming Lyu; Xi Shen 001; Ivor W. Tsang; Dit-Yan Yeung (ICLR (Poster), 2019)

Efficient Batch Black-box Optimization with Deterministic Regret Bounds. - Yueming Lyu; Yuan Yuan 002; Ivor W. Tsang (CoRR, 2019)

Stochastic Implicit Natural Gradient for Black-box Optimization. - Yueming Lyu; Ivor W. Tsang (CoRR, 2019)

Curriculum Loss: Robust Learning and Generalization against Label Corruption. - Yueming Lyu; Ivor W. Tsang (ICLR, 2020)

Intrinsic Reward Driven Imitation Learning via Generative Model. - Xingrui Yu; Yueming Lyu; Ivor W. Tsang (ICML, 2020)

Subgroup-based Rank-1 Lattice Quasi-Monte Carlo. - Yueming Lyu; Yuan Yuan 002; Ivor W. Tsang (NeurIPS, 2020)

SOGAN: 3D-Aware Shadow and Occlusion Robust GAN for Makeup Transfer. - Yueming Lyu; Jing Dong 003; Bo Peng 002; Wei Wang 025; Tieniu Tan (ACM Multimedia, 2021)

Black-Box Optimizer with Stochastic Implicit Natural Gradient. - Yueming Lyu; Ivor W. Tsang (ECML/PKDD (3), 2021)

Neural Optimization Kernel: Towards Robust Deep Learning. - Yueming Lyu; Ivor W. Tsang (CoRR, 2021)

Detailed Region-Adaptive Normalization for Heavy Makeup Transfer. - Yueming Lyu; Peibin Chen; Jingna Sun; Xu Wang; Jing Dong 003; Tieniu Tan (CoRR, 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)

Efficient and Robust Black-box Integral-approximation and Optimization - Yueming Lyu (2021)

Exploring Information Bottleneck for Weakly Supervised Semantic Segmentation. - Jie Qin; Yueming Lyu; Xingang Wang (ECAI, 2023)

Fast Rank-1 Lattice Targeted Sampling for Black-box Optimization. - Yueming Lyu (NeurIPS, 2023)

DeltaEdit: Exploring Text-free Training for Text-Driven Image Manipulation. - Yueming Lyu; Tianwei Lin; Fu Li 003; Dongliang He; Jing Dong 003; Tieniu Tan (CoRR, 2023)

Adversary-Aware Partial label learning with Label distillation. - Cheng Chen; Yueming Lyu; Ivor W. Tsang (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)

DeltaSpace: A Semantic-aligned Feature Space for Flexible Text-guided Image Editing. - Yueming Lyu; Kang Zhao; Bo Peng 002; Yue Jiang; Yingya Zhang; Jing Dong 003 (CoRR, 2023)

RS-Corrector: Correcting the Racial Stereotypes in Latent Diffusion Models. - Yue Jiang; Yueming Lyu; Tianxiang Ma; Bo Peng 002; Jing Dong 003 (CoRR, 2023)

Earning Extra Performance From Restrictive Feedbacks. - Jing Li 009; Yuangang Pan; Yueming Lyu; Yinghua Yao; Yulei Sui; Ivor W. Tsang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

3D-Aware Adversarial Makeup Generation for Facial Privacy Protection. - Yueming Lyu; Yue Jiang; Ziwen He; Bo Peng 002; Yunfan Liu 001; Jing Dong 003 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

On Harmonizing Implicit Subpopulations. - Feng Hong 004; Jiangchao Yao; Yueming Lyu; Zhihan Zhou 002; Ivor W. Tsang; Ya Zhang 002; Yanfeng Wang 001 (ICLR, 2024)

Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning. - Feiyang Ye 001; Yueming Lyu; Xuehao Wang; Yu Zhang 006; Ivor W. Tsang (ICLR, 2024)

Diversified Batch Selection for Training Acceleration. - Feng Hong 004; Yueming Lyu; Jiangchao Yao; Ya Zhang 002; Ivor W. Tsang; Yanfeng Wang 001 (ICML, 2024)

An Effective End-to-End Solution for Multimodal Action Recognition. - Songping Wang; Haoxiang Rao; Xiantao Hu; Yueming Lyu; Caifeng Shan (ICPR (Workshops and Challenges, 4), 2024)

Mitigating Social Biases in Text-to-Image Diffusion Models via Linguistic-Aligned Attention Guidance. - Yue Jiang; Yueming Lyu; Ziwen He; Bo Peng 002; Jing Dong 003 (ACM Multimedia, 2024)

Covariance-Adaptive Sequential Black-box Optimization for Diffusion Targeted Generation. - Yueming Lyu; Kim Yong Tan; Yew Soon Ong; Ivor W. Tsang (CoRR, 2024)

Quality Diversity Imitation Learning. - Zhenglin Wan; Xingrui Yu; David Mark Bossens; Yueming Lyu; Qing Guo 005; Flint Xiaofeng Fan; Ivor W. Tsang (CoRR, 2024)

DRAN: Detailed Region-Adaptive Normalization for Conditional Image Synthesis. - Yueming Lyu; Peibin Chen; Jingna Sun; Bo Peng 002; Xu Wang; Jing Dong 003 (IEEE Trans. Multim., 2024)

InfoStyler: Disentanglement Information Bottleneck for Artistic Style Transfer. - Yueming Lyu; Yue Jiang; Bo Peng 002; Jing Dong 003 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Sharpness-Aware Black-Box Optimization. - Feiyang Ye 001; Yueming Lyu; Xuehao Wang; Masashi Sugiyama; Yu Zhang 006; Ivor W. Tsang (ICLR, 2025)

Image-level Memorization Detection via Inversion-based Inference Perturbation. - Yue Jiang; Haokun Lin; Yang Bai; Bo Peng 002; Zhili Liu; Yueming Lyu; Yong Yang; Xing Zheng; Jing Dong 003 (ICLR, 2025)

Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation. - Kim Yong Tan; Yueming Lyu; Ivor W. Tsang; Yew-Soon Ong (ICLR, 2025)

Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration. - Xingrui Yu; Zhenglin Wan; David Mark Bossens; Yueming Lyu; Qing Guo 005; Ivor W. Tsang (AAMAS, 2025)

Graph Potential Field Neural Network for Massive Agents Group-wise Path Planning. - Yueming Lyu; Xiaowei Zhou 003; Xingrui Yu; Ivor W. Tsang (Trans. Mach. Learn. Res., 2025)

Concept Corrector: Erase concepts on the fly for text-to-image diffusion models. - Zheling Meng; Bo Peng 002; Xiaochuan Jin; Yueming Lyu; Wei Wang 025; Jing Dong 003 (CoRR, 2025)

MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary Programming. - Chengqi Zheng; Jianda Chen; Yueming Lyu; Wen Zheng Terence Ng; Haopeng Zhang 005; Yew-Soon Ong; Ivor W. Tsang; Haiyan Yin (CoRR, 2025)

An Effective End-to-End Solution for Multimodal Action Recognition. - Songping Wang; Xiantao Hu; Yueming Lyu; Caifeng Shan (CoRR, 2025)

LLM-to-Phy3D: Physically Conform Online 3D Object Generation with LLMs. - Melvin Wong; Yueming Lyu; Thiago Rios; Stefan Menzel; Yew-Soon Ong (CoRR, 2025)

CMSL: Cross-modal Style Learning for Few-shot Image Generation. - Yue Jiang; Yueming Lyu; Bo Peng 002; Wei Wang 025; Jing Dong 003 (Mach. Intell. Res., 2025)