Lyu Yueming

scientist---lyu-yue-ming

Research Area
  • Kernel Methods
  • Optimisation
  • Approximation
  • Deep Learning Theory
  • Robust Learning

  • ICML Travel Award, 2017
  • ICLR Travel Award, 2019
  • UTS President's Scholarship, 2018 - 2022
  • Neural Optimisation Kernel and Fast Structured Kernel Approximation for Machine Unlearning. AI3 HTCO Seed Fund 2022. (PI)

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.

  • Conference Reviewer/PC Member: ICML2022, NeurIPS-2022, AISTATS 2022, ICLR-2021, AISTATS 2021, AAAI-2021 ICML2021, NeurIPS-2021, NeurIPS-2020, AISTATS 2020, AAAI-2020, ACML-2020, ICML-2019, NeurIPS-2019, AISTATS 2019, ACML-2019
  • Journal Reviewer: IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Machine Learning (IEEE Transactions on  Multimedia 2015).