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Yuying Xie
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2020 – today
- 2024
- [j7]Georg Ørnskov Rønsch, Iván López-Espejo, Daniel Michelsanti, Yuying Xie, Petar Popovski, Zheng-Hua Tan:
Utilization of acoustic signals with generative Gaussian and autoencoder modeling for condition-based maintenance of injection moulds. Int. J. Comput. Integr. Manuf. 37(4): 438-453 (2024) - [j6]Jiayuan Ding, Lingxiao Li, Qiaolin Lu, Julian Venegas, Yixin Wang, Lidan Wu, Wei Jin, Hongzhi Wen, Renming Liu, Wenzhuo Tang, Xinnan Dai, Zhaoheng Li, Wangyang Zuo, Yi Chang, Yu Leo Lei, Lulu Shang, Patrick Danaher, Yuying Xie, Jiliang Tang:
SpatialCTD: A Large-Scale Tumor Microenvironment Spatial Transcriptomic Dataset to Evaluate Cell Type Deconvolution for Immuno-Oncology. J. Comput. Biol. 31(9): 871-885 (2024) - [j5]Dylan Molho, Jiayuan Ding, Wenzhuo Tang, Zhaoheng Li, Hongzhi Wen, Yixin Wang, Julian Venegas, Wei Jin, Renming Liu, Runze Su, Patrick Danaher, Robert Yang, Yu Leo Lei, Yuying Xie, Jiliang Tang:
Deep Learning in Single-cell Analysis. ACM Trans. Intell. Syst. Technol. 15(3): 40:1-40:62 (2024) - [c11]Yuying Xie, Michael Kuhlmann, Frederik Rautenberg, Zheng-Hua Tan, Reinhold Haeb-Umbach:
Speaker and Style Disentanglement of Speech Based on Contrastive Predictive Coding Supported Factorized Variational Autoencoder. EUSIPCO 2024: 436-440 - [c10]Hongzhi Wen, Wenzhuo Tang, Xinnan Dai, Jiayuan Ding, Wei Jin, Yuying Xie, Jiliang Tang:
CellPLM: Pre-training of Cell Language Model Beyond Single Cells. ICLR 2024 - [c9]Yuying Xie, Thomas Arildsen, Zheng-Hua Tan:
Complex Recurrent Variational Autoencoder for Speech Resynthesis and Enhancement. IJCNN 2024: 1-7 - [i10]Wenzhuo Tang, Haitao Mao, Danial Dervovic, Ivan Brugere, Saumitra Mishra, Yuying Xie, Jiliang Tang:
Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models. CoRR abs/2406.01899 (2024) - [i9]Longxiu Huang, A. Martina Neuman, Sui Tang, Yuying Xie:
Convolutional dynamical sampling and some new results. CoRR abs/2406.15122 (2024) - 2023
- [c8]Wenzhuo Tang, Hongzhi Wen, Renming Liu, Jiayuan Ding, Wei Jin, Yuying Xie, Hui Liu, Jiliang Tang:
Single-Cell Multimodal Prediction via Transformers. CIKM 2023: 2422-2431 - [c7]Yuying Xie, Thomas Arildsen, Zheng-Hua Tan:
Improved Disentangled Speech Representations Using Contrastive Learning in Factorized Hierarchical Variational Autoencoder. EUSIPCO 2023: 1330-1334 - [i8]Hongzhi Wen, Wenzhuo Tang, Wei Jin, Jiayuan Ding, Renming Liu, Feng Shi, Yuying Xie, Jiliang Tang:
Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data Imputation. CoRR abs/2302.03038 (2023) - [i7]Wenzhuo Tang, Hongzhi Wen, Renming Liu, Jiayuan Ding, Wei Jin, Yuying Xie, Hui Liu, Jiliang Tang:
Single-Cell Multimodal Prediction via Transformers. CoRR abs/2303.00233 (2023) - 2022
- [c6]Hongzhi Wen, Jiayuan Ding, Wei Jin, Yiqi Wang, Yuying Xie, Jiliang Tang:
Graph Neural Networks for Multimodal Single-Cell Data Integration. KDD 2022: 4153-4163 - [i6]Hongzhi Wen, Jiayuan Ding, Wei Jin, Yuying Xie, Jiliang Tang:
Graph Neural Networks for Multimodal Single-Cell Data Integration. CoRR abs/2203.01884 (2022) - [i5]A. Martina Neuman, Rongrong Wang, Yuying Xie:
Superiority of GNN over NN in generalizing bandlimited functions. CoRR abs/2206.05904 (2022) - [i4]Dylan Molho, Jiayuan Ding, Zhaoheng Li, Hongzhi Wen, Wenzhuo Tang, Yixin Wang, Julian Venegas, Wei Jin, Renming Liu, Runze Su, Patrick Danaher, Robert Yang, Yu Leo Lei, Yuying Xie, Jiliang Tang:
Deep Learning in Single-Cell Analysis. CoRR abs/2210.12385 (2022) - [i3]Yuying Xie, Thomas Arildsen, Zheng-Hua Tan:
Improved disentangled speech representations using contrastive learning in factorized hierarchical variational autoencoder. CoRR abs/2211.08191 (2022) - 2021
- [j4]Xiaosheng Peng, Qiyou Xu, Hongyu Wang, Jianxun Lang, Wenze Li, Tao Cai, Shanxu Duan, Yuying Xie, Chaoshun Li:
A Novel Efficient DLUBE Model Constructed by Error Interval Coefficients for Clustered Wind Power Prediction. IEEE Access 9: 61739-61751 (2021) - [c5]Yuying Xie, Thomas Arildsen, Zheng-Hua Tan:
Disentangled Speech Representation Learning Based on Factorized Hierarchical Variational Autoencoder with Self-Supervised Objective. MLSP 2021: 1-6 - 2020
- [i2]Runze Su, Fei Tao, Xudong Liu, Haoran Wei, Xiaorong Mei, Zhiyao Duan, Lei Yuan, Ji Liu, Yuying Xie:
Themes Inferred Audio-visual Correspondence Learning. CoRR abs/2009.06573 (2020)
2010 – 2019
- 2019
- [j3]Yuning Hao, Ming Yan, Blake R. Heath, Yu L. Lei, Yuying Xie:
Fast and robust deconvolution of tumor infiltrating lymphocyte from expression profiles using least trimmed squares. PLoS Comput. Biol. 15(5) (2019) - [c4]He Lyu, Ningyu Sha, Shuyang Qin, Ming Yan, Yuying Xie, Rongrong Wang:
Manifold denoising by Nonlinear Robust Principal Component Analysis. NeurIPS 2019: 13390-13400 - [i1]He Lyu, Ningyu Sha, Shuyang Qin, Ming Yan, Yuying Xie, Rongrong Wang:
Manifold Denoising by Nonlinear Robust Principal Component Analysis. CoRR abs/1911.03831 (2019) - 2018
- [c3]Ding Ma, Wei Bu, Yuying Xie, Yuehua Cui, Xiangqian Wu:
Segmentation-Guided Tracking with Prior Map Decision. ICPR 2018: 2014-2019 - [c2]Ding Ma, Wei Bu, Yuehua Cui, Yuying Xie, Xiangqian Wu:
Learning Collaborative Model for Visual Tracking. ICPR 2018: 2582-2587 - 2016
- [j2]Xuefeng Liu, Jin Chen, Yuying Xie, Dan Wu:
Strategic transformation through innovation in emerging industry: a case study. Int. J. Technol. Manag. 72(1/2/3): 192-209 (2016) - 2010
- [j1]Xiang Zhang, Feng Pan, Yuying Xie, Fei Zou, Wei Wang:
COE: A General Approach for Efficient Genome-Wide Two-Locus Epistasis Test in Disease Association Study. J. Comput. Biol. 17(3): 401-415 (2010)
2000 – 2009
- 2009
- [c1]Xiang Zhang, Feng Pan, Yuying Xie, Fei Zou, Wei Wang:
COE: A General Approach for Efficient Genome-Wide Two-Locus Epistasis Test in Disease Association Study. RECOMB 2009: 253-269
Coauthor Index
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