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Probably Approximate Shapley Fairness with Applications in Machine Learning


Dec 01, 2022
Zijian Zhou, Xinyi Xu, Rachael Hwee Ling Sim, Chuan Sheng Foo, Kian Hsiang Low

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* 37th AAAI Conference on Artificial Intelligence (AAAI 2023) 

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On the Convergence of the Shapley Value in Parametric Bayesian Learning Games


May 16, 2022
Lucas Agussurja, Xinyi Xu, Bryan Kian Hsiang Low

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* To appear in the 39th International Conference on Machine Learning (ICML 2022). Extended version with derivations 

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AFFIRM: Affinity Fusion-based Framework for Iteratively Random Motion correction of multi-slice fetal brain MRI


May 12, 2022
Wen Shi, Haoan Xu, Cong Sun, Jiwei Sun, Yamin Li, Xinyi Xu, Tianshu Zheng, Yi Zhang, Guangbin Wang, Dan Wu

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Fetal Brain Tissue Annotation and Segmentation Challenge Results


Apr 20, 2022
Kelly Payette, Hongwei Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao Liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor Fadida, Leo Joskowicz, Liao Weibin, Lv Yi, Li Xuesong, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, KuanLun Liao, YiXuan Wu, JinTai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern Menze, Meritxell Bach Cuadra, Andras Jakab

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* Results from FeTA Challenge 2021, held at MICCAI; Manuscript submitted 

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Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards


Dec 17, 2021
Sebastian Shenghong Tay, Xinyi Xu, Chuan Sheng Foo, Bryan Kian Hsiang Low

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* 36th AAAI Conference on Artificial Intelligence (AAAI 2022), Extended version with derivations, 42 pages 

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Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs


Sep 30, 2021
Zhao Xu, Youzhi Luo, Xuan Zhang, Xinyi Xu, Yaochen Xie, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji

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Group Contrastive Self-Supervised Learning on Graphs


Jul 20, 2021
Xinyi Xu, Cheng Deng, Yaochen Xie, Shuiwang Ji

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Towards Building a Robust and Fair Federated Learning System


Nov 20, 2020
Xinyi Xu, Lingjuan Lyu

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* In submission, under review 

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Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping


Nov 19, 2020
Xinyi Xu, Zhengyang Wang, Cheng Deng, Hao Yuan, Shuiwang Ji

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Searching k-Optimal Goals for an Orienteering Problem on a Specialized Graph with Budget Constraints


Nov 02, 2020
Abhinav Sharma, Advait Deshpande, Yanming Wang, Xinyi Xu, Prashan Madumal, Anbin Hou

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