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Chong Wang

Differentially Private Multi-Party Data Release for Linear Regression



Ruihan Wu , Xin Yang , Yuanshun Yao , Jiankai Sun , Tianyi Liu , Kilian Q. Weinberger , Chong Wang

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* UAI 2022 
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Differentially Private AUC Computation in Vertical Federated Learning



Jiankai Sun , Xin Yang , Yuanshun Yao , Junyuan Xie , Di Wu , Chong Wang

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Linear Complexity Randomized Self-attention Mechanism



Lin Zheng , Chong Wang , Lingpeng Kong

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* 37 pages 
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Translation Consistent Semi-supervised Segmentation for 3D Medical Images



Yuyuan Liu , Yu Tian , Chong Wang , Yuanhong Chen , Fengbei Liu , Vasileios Belagiannis , Gustavo Carneiro

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Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection



Yu Tian , Guansong Pang , Fengbei Liu , Yuyuan Liu , Chong Wang , Yuanhong Chen , Johan W Verjans , Gustavo Carneiro

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* Technical report, 10 pages, 3 figures 
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Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder



Yu Tian , Guansong Pang , Yuyuan Liu , Chong Wang , Yuanhong Chen , Fengbei Liu , Rajvinder Singh , Johan W Verjans , Gustavo Carneiro

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* Technical report, 11 pages, 3 figures 
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Label Leakage and Protection from Forward Embedding in Vertical Federated Learning



Jiankai Sun , Xin Yang , Yuanshun Yao , Chong Wang

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Differentially Private Label Protection in Split Learning



Xin Yang , Jiankai Sun , Yuanshun Yao , Junyuan Xie , Chong Wang

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Counterfactually Evaluating Explanations in Recommender Systems



Yuanshun Yao , Chong Wang , Hang Li

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Learning to Simulate Unseen Physical Systems with Graph Neural Networks



Ce Yang , Weihao Gao , Di Wu , Chong Wang

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* 9 pages, 5 figures, NeurIPS 2021 Workshop on AI for Science 
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