Yixuan Zhang

According to our database, Yixuan Zhang authored at least 16 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Advances in Temporal Point Processes: Bayesian, Deep, and LLM Approaches.

Feng Zhou, Quyu Kong, Yixuan Zhang

CoRR, January, 2025

Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression.

Junliang Lyu, Yixuan Zhang, Xiaoling Lu, Feng Zhou

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Navigating Towards Fairness with Data Selection.

Yixuan Zhang, Zhidong Li, Yang Wang, Fang Chen, Xuhui Fan, Feng Zhou

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

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

Yixuan Zhang, Feng Zhou

CoRR, 2024

Nonstationary Sparse Spectral Permanental Process.

Zicheng Sun, Yixuan Zhang, Zenan Ling, Xuhui Fan, Feng Zhou

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Zenan Ling, Longbo Li, Zhanbo Feng, Yixuan Zhang, Feng Zhou, Robert C. Qiu, Zhenyu Liao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Mitigating Label Bias in Machine Learning: Fairness through Confident Learning.

Yixuan Zhang, Boyu Li, Zenan Ling, Feng Zhou

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes.

Yixuan Zhang, Quyu Kong, Feng Zhou

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.

Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Efficient Inference for Dynamic Flexible Interactions of Neural Populations.

Feng Zhou, Quyu Kong, Zhijie Deng, Jichao Kan, Yixuan Zhang, Cheng Feng, Jun Zhu

J. Mach. Learn. Res., 2022

De-biased Representation Learning for Fairness with Unreliable Labels.

Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen

CoRR, 2022

2021

Nonlinear Hawkes Processes in Time-Varying System.

Feng Zhou, Quyu Kong, Yixuan Zhang, Cheng Feng, Jun Zhu

CoRR, 2021

Efficient Inference of Flexible Interaction in Spiking-neuron Networks.

Feng Zhou, Yixuan Zhang, Jun Zhu

Proceedings of the 9th International Conference on Learning Representations, 2021

Bias-tolerant Fair Classification.

Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen

Proceedings of the Asian Conference on Machine Learning, 2021

2020

Efficient Inference of Nonparametric Interaction in Spiking-neuron Networks.

Feng Zhou, Yixuan Zhang, Jun Zhu

CoRR, 2020

2019

Hawkes Process with Stochastic Triggering Kernel.

Feng Zhou, Yixuan Zhang, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019