About Me
I was a Ph.D. student (2018-2022) at Computing and Software, McMaster University, advised by Prof. Wenbo He. I also earned my M.Sc in computer science at McMaster University in 2018.
Prior to that, I studied in Zhejiang University from 2015-2016, advised by Prof. Huajun Chen. I obtained my B.E. in computer science and technology from Sichuan University in 2015.
Email: luy100 AT mcmaster DOT ca
Research Interest
My current research interest broadly includes theory and applications of machine learning, such as
- Trustworthy Machine Learning with Imperfect Data
- 3D Reconstruction&Generation
- Approaximate Nearest Neighbour Search
- Image&Video Classification
I have served as a reviewer for ICML 2022, NeurIPS 2022, AAAI 2023, AAAI 2024 and IEEE Transactions on Neural Networks and Learning Systems 2023.
What's New
- [2024] New!!!! Our paper "VastGaussian: Vast Gaussian for Large Scene Reconstruction" has been accepted to CVPR 2024.
- [2023] Our paper "Rethinking Label Refurbishment: Model Robustness under Label Noise" has been accepted to AAAI 2023.
- [2022] My Ph.D. Thesis: "Robust Approaches for Learning with Noisy Labels" has been published.
- [2022] Our paper "Noise Attention Learning" has been accepted to NeurIPS 2022.
- [2022] Our paper "SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels" has been accepted to IJCAI 2022 as a regular paper.
- [2021] Our paper "An Ensemble Model for Combating Label Noise" has been accepted to WSDM 2022 as a regular paper.
- [2021] Our paper "Confidence Adaptive Regularization for Deep Learning with Noisy Labels" is uploaded in arxiv.org.
- [2021] Our paper "CLTA: Contents and Length-based Temporal Attention for Few-shot Action Recognition" is uploaded in arxiv.org.
Teaching Experience
- [2022 Winter] TA for CAS 771: Introduction to Big Data Systems and Applications.
- [2017-2021 Fall] TA for MECHTRON 4AA4: Real-Time Systems and Control Applications.
- [2016 Fall ] TA for CS 3SH3: Operation System.