1. Yueming Lyu, Yuan Yuan, Ivor Tsang: Subgroup-based Rank-1 Lattice Quasi-Monte Carlo. NeurIPS 2020.2. Yueming Lyu: Spherical Structured Feature Maps for Kernel Approximation. ICML 2017.3. Yueming Lyu, Ivor Tsang: Curriculum Loss: Robust Learning and Generalization against Label Corruption. ICLR 2020. 4. Xingrui Yu, Yueming Lyu, Ivor Tsang: Intrinsic Reward Driven Imitation Learning via Generative Model. ICML 2020.5. Yuan Yuan, Yueming Lyu, Xi Shen, Ivor Tsang, Dit-Yan Yang: Marginalized Average Attentional Network for Weakly-supervised Learning. ICLR 2019.6. Yueming Lyu, Ivor Tsang: Black-box Optimizer with Stochastic Implicit Natural Gradient. ECML-PKDD 2021.7. Yuangang Pan, Ivor Tsang, Yueming Lyu, Avinash Singh, Chin-Teng Lin: Online Mental Fatigue Monitoring via Indirect Brain Dynamics Evaluation. Neural Computation 2021.8. Yueming Lyu, Wing W. Y. Ng, Ziqian Zeng, Daniel S. Yeung, Patrick P. K. Chan: Asymmetric Cyclical Hashing for Large Scale Image Retrieval. IEEE TMM 2015.
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