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2020 – today
- 2024
[j4]Fengjuan Huang, Xinjie Fan, Ying Wang, Yu Zou, Jiangfang Lian
, Chuang Wang, Feng Ding, Yunxiang Sun:
Computational insights into the cross-talk between medin and Aβ: implications for age-related vascular risk factors in Alzheimer's disease. Briefings Bioinform. 25(2) (2024)- [j3]Xinjie Fan, Xiaohan Zhang, Jiajia Yan, Huan Xu, Wenhui Zhao, Feng Ding, Fengjuan Huang, Yunxiang Sun:
Computational Investigation of Coaggregation and Cross-Seeding between Aβ and hIAPP Underpinning the Cross-Talk in Alzheimer's Disease and Type 2 Diabetes. J. Chem. Inf. Model. 64(13): 5303-5316 (2024) - 2023
- [j2]Ying Wang, Jia Xu, Fengjuan Huang, Jiajia Yan, Xinjie Fan, Yu Zou, Chuang Wang, Feng Ding, Yunxiang Sun:
SEVI Inhibits Aβ Amyloid Aggregation by Capping the β-Sheet Elongation Edges. J. Chem. Inf. Model. 63(11): 3567-3578 (2023) - [j1]Fengjuan Huang, Xinjie Fan, Ying Wang, Chuang Wang, Yu Zou, Jiangfang Lian, Feng Ding, Yunxiang Sun:
Unveiling Medin Folding and Dimerization Dynamics and Conformations via Atomistic Discrete Molecular Dynamics Simulations. J. Chem. Inf. Model. 63(20): 6376-6385 (2023) - 2021
- [c9]Xinjie Fan, Qifei Wang, Junjie Ke, Feng Yang, Boqing Gong, Mingyuan Zhou:
Adversarially Adaptive Normalization for Single Domain Generalization. CVPR 2021: 8208-8217 - [c8]Xinjie Fan, Shujian Zhang, Korawat Tanwisuth, Xiaoning Qian, Mingyuan Zhou:
Contextual Dropout: An Efficient Sample-Dependent Dropout Module. ICLR 2021 - [c7]Shujian Zhang, Xinjie Fan, Bo Chen, Mingyuan Zhou:
Bayesian Attention Belief Networks. ICML 2021: 12413-12426 - [c6]Shujian Zhang, Xinjie Fan, Huangjie Zheng, Korawat Tanwisuth, Mingyuan Zhou:
Alignment Attention by Matching Key and Query Distributions. NeurIPS 2021: 13444-13457 - [c5]Korawat Tanwisuth, Xinjie Fan, Huangjie Zheng, Shujian Zhang, Hao Zhang, Bo Chen, Mingyuan Zhou:
A Prototype-Oriented Framework for Unsupervised Domain Adaptation. NeurIPS 2021: 17194-17208 - [i9]Xinjie Fan, Shujian Zhang, Korawat Tanwisuth, Xiaoning Qian, Mingyuan Zhou:
Contextual Dropout: An Efficient Sample-Dependent Dropout Module. CoRR abs/2103.04181 (2021) - [i8]Xinjie Fan, Qifei Wang, Junjie Ke, Feng Yang, Boqing Gong, Mingyuan Zhou:
Adversarially Adaptive Normalization for Single Domain Generalization. CoRR abs/2106.01899 (2021) - [i7]Shujian Zhang, Xinjie Fan, Bo Chen, Mingyuan Zhou:
Bayesian Attention Belief Networks. CoRR abs/2106.05251 (2021) - [i6]Korawat Tanwisuth, Xinjie Fan, Huangjie Zheng, Shujian Zhang, Hao Zhang, Bo Chen, Mingyuan Zhou:
A Prototype-Oriented Framework for Unsupervised Domain Adaptation. CoRR abs/2110.12024 (2021) - [i5]Shujian Zhang, Xinjie Fan, Huangjie Zheng, Korawat Tanwisuth, Mingyuan Zhou:
Alignment Attention by Matching Key and Query Distributions. CoRR abs/2110.12567 (2021) - 2020
- [c4]Xinjie Fan, Yizhe Zhang, Zhendong Wang, Mingyuan Zhou:
Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation. ICLR 2020 - [c3]Xinjie Fan, Yuguang Yue, Purnamrita Sarkar, Y. X. Rachel Wang:
On hyperparameter tuning in general clustering problemsm. ICML 2020: 2996-3007 - [c2]Xinjie Fan, Shujian Zhang, Bo Chen, Mingyuan Zhou:
Bayesian Attention Modules. NeurIPS 2020 - [i4]Nan Ding, Xinjie Fan, Zhenzhong Lan, Dale Schuurmans, Radu Soricut:
Attention that does not Explain Away. CoRR abs/2009.14308 (2020) - [i3]Xinjie Fan, Shujian Zhang, Bo Chen, Mingyuan Zhou:
Bayesian Attention Modules. CoRR abs/2010.10604 (2020)
2010 – 2019
- 2019
- [i2]Xinjie Fan, Yuguang Yue, Purnamrita Sarkar, Y. X. Rachel Wang:
A Unified Framework for Tuning Hyperparameters in Clustering Problems. CoRR abs/1910.08018 (2019) - [i1]Xinjie Fan, Yizhe Zhang, Zhendong Wang, Mingyuan Zhou:
Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation. CoRR abs/1912.13151 (2019) - 2016
- [c1]Xianglong Liu, Xinjie Fan, Cheng Deng, Zhujin Li, Hao Su, Dacheng Tao:
Multilinear Hyperplane Hashing. CVPR 2016: 5119-5127
Coauthor Index
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