Yixuan Zhang

Affiliations:
  • University of Technology Sydney, Australi


According to our database1, Yixuan Zhang authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Bias Mitigation in Fine-tuning Pre-trained Models for Enhanced Fairness and Efficiency.
CoRR, 2024

Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures.
CoRR, 2024

Mitigating Label Bias in Machine Learning: Fairness through Confident Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fair Representation Learning with Unreliable Labels.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Efficient Inference for Dynamic Flexible Interactions of Neural Populations.
J. Mach. Learn. Res., 2022

De-biased Representation Learning for Fairness with Unreliable Labels.
CoRR, 2022

2021
Nonlinear Hawkes Processes in Time-Varying System.
CoRR, 2021

Efficient Inference of Flexible Interaction in Spiking-neuron Networks.
Proceedings of the 9th International Conference on Learning Representations, 2021

Bias-tolerant Fair Classification.
Proceedings of the Asian Conference on Machine Learning, 2021

2020
Efficient Inference of Nonparametric Interaction in Spiking-neuron Networks.
CoRR, 2020

2019
Hawkes Process with Stochastic Triggering Kernel.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019


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