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ORCIDYixuan Zhang 0006
Person information
- affiliation: University of Technology Sydney, Australi
Other persons with the same name
- Yixuan Zhang — disambiguation page
- Yixuan Zhang 0001
![[0000-0002-7412-4669]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-7412-4669")
(aka: Yixuan Janice Zhang) — William & Mary, Williamsburg, VA, USA (and 1 more) - Yixuan Zhang 0002 — Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR, China (and 1 more)
- Yixuan Zhang 0003 — Southeast University, China
- Yixuan Zhang 0004 — Beijing University of Technology, Beijing, China
- Yixuan Zhang 0005 — Ohio State University, Columbus, OH, USA
- Yixuan Zhang 0007 — City University of Macau, Macau SAR, China
- Yixuan Zhang 0008 — University of Rochester, NY, USA
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2020 – today
- 2024
[c7]Yixuan Zhang, Boyu Li, Zenan Ling, Feng Zhou:
Mitigating Label Bias in Machine Learning: Fairness through Confident Learning. AAAI 2024: 16917-16925- [c6]Zenan Ling, Longbo Li, Zhanbo Feng, Yixuan Zhang, Feng Zhou, Robert C. Qiu, Zhenyu Liao:
Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures. ICML 2024 - [i8]Zenan Ling, Longbo Li, Zhanbo Feng, Yixuan Zhang, Feng Zhou, Robert C. Qiu, Zhenyu Liao:
Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures. CoRR abs/2402.02697 (2024) - [i7]Yixuan Zhang, Feng Zhou:
Bias Mitigation in Fine-tuning Pre-trained Models for Enhanced Fairness and Efficiency. CoRR abs/2403.00625 (2024) - 2023
- [c5]Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen:
Fair Representation Learning with Unreliable Labels. AISTATS 2023: 4655-4667 - [c4]Yixuan Zhang, Quyu Kong, Feng Zhou:
Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes. NeurIPS 2023 - [i6]Yixuan Zhang, Quyu Kong, Feng Zhou:
Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes. CoRR abs/2310.05485 (2023) - [i5]Yixuan Zhang, Boyu Li, Zenan Ling, Feng Zhou:
Mitigating Label Bias in Machine Learning: Fairness through Confident Learning. CoRR abs/2312.08749 (2023) - 2022
- [j1]Feng Zhou, Quyu Kong, Zhijie Deng, Jichao Kan, Yixuan Zhang, Cheng Feng, Jun Zhu:
Efficient Inference for Dynamic Flexible Interactions of Neural Populations. J. Mach. Learn. Res. 23: 211:1-211:49 (2022) - [i4]Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen:
De-biased Representation Learning for Fairness with Unreliable Labels. CoRR abs/2208.00651 (2022) - 2021
- [c3]Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen:
Bias-tolerant Fair Classification. ACML 2021: 840-855 - [c2]Feng Zhou, Yixuan Zhang, Jun Zhu:
Efficient Inference of Flexible Interaction in Spiking-neuron Networks. ICLR 2021 - [i3]Feng Zhou, Quyu Kong, Yixuan Zhang, Cheng Feng, Jun Zhu:
Nonlinear Hawkes Processes in Time-Varying System. CoRR abs/2106.04844 (2021) - [i2]Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen:
Bias-Tolerant Fair Classification. CoRR abs/2107.03207 (2021) - 2020
- [i1]Feng Zhou, Yixuan Zhang, Jun Zhu:
Efficient Inference of Nonparametric Interaction in Spiking-neuron Networks. CoRR abs/2006.12845 (2020)
2010 – 2019
- 2019
- [c1]Feng Zhou, Yixuan Zhang, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen:
Hawkes Process with Stochastic Triggering Kernel. PAKDD (1) 2019: 319-330
Coauthor Index
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