Yixuan Zhang

According to our database, Yixuan Zhang authored at least 26 papers between 2019 and 2026.

Collaborative distances:

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

2026

Cesarean Scar Defect Segmentation in Transvaginal Ultrasound Images: a Dataset and Benchmark.

Yuan Tian, Yue Li, Wei Xia, Tianyu Xu, Jian Zhang, Liye Shi, Jing Liu, Yang Wang, Ming Liu, Qing Xu, Yixuan Zhang, Maggie M. He, Xiangjian He

CoRR, May, 2026

SP-Det: Self-prompted dual-text fusion for generalized multi-label lesion detection.

Qing Xu, Yanqian Wang, Xiangjian He, Yue Li, Yixuan Zhang, Rong Qu, Wenting Duan, Zhen Chen

Knowl. Based Syst., 2026

Byte-token Enhanced Language Models for Temporal Point Processes Analysis.

Quyu Kong, Yixuan Zhang, Yang Liu, Panrong Tong, Enqi Liu, Feng Zhou

Proceedings of the ACM Web Conference 2026, 2026

Freqdino: Frequency-Guided Adaptation for Generalized Boundary-Aware Ultrasound Image Segmentation.

Yixuan Zhang, Qing Xu, Yue Li, Xiangjian He, Qian Zhang, Mainul Haque, Rong Qu, Wenting Duan, Zhen Chen

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Towards Universal Ultrasound Analysis: Parameter-Efficient Foundation Model With Task-Aware Routing for Heterogeneous Multi-Task Learning.

Yixuan Zhang, Qing Xu, Yue Li, Xiangjian He, Zhen Chen

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Fair Bayesian Data Selection via Generalized Discrepancy Measures.

Yixuan Zhang, Jiabin Luo, Zhenggang Wang, Feng Zhou, Quyu Kong

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

SP-Det: Self-Prompted Dual-Text Fusion for Generalized Multi-Label Lesion Detection.

Qing Xu, Yanqian Wang, Xiangjian Hea, Yue Li, Yixuan Zhang, Rong Qu, Wenting Duan, Zhen Chen

CoRR, December, 2025

Distilling the Unknown to Unveil Certainty.

Zhi-Lin Zhao, Longbing Cao, Yixuan Zhang, Kun-Yu Lin, Wei-Shi Zheng

IEEE Trans. Pattern Anal. Mach. Intell., October, 2025

MambaVesselNet++: A Hybrid CNN-Mamba Architecture for Medical Image Segmentation.

Qing Xu, Yanming Chen, Yue Li, Ziyu Liu, Zhenye Lou, Yixuan Zhang, Xiangjian He

CoRR, July, 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 Thirty-Ninth AAAI Conference on Artificial Intelligence, 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 37: 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

Out-of-Distribution Knowledge Distillation via Confidence Amendment.

Zhilin Zhao, Longbing Cao, Yixuan Zhang

CoRR, 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