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An automated approach to extracting positive and negative clinical research results


Dec 07, 2022
Xuanyu Shi, Shiyao Xie, Wenjia Wang, Ting Chen, Jian Du

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Soft BPR Loss for Dynamic Hard Negative Sampling in Recommender Systems


Nov 25, 2022
Kexin Shi, Yun Zhang, Bingyi Jing, Wenjia Wang

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* 9 pages, 16 figures 

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Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding


May 30, 2022
Tianyang Hu, Zhili Liu, Fengwei Zhou, Wenjia Wang, Weiran Huang

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HuMMan: Multi-Modal 4D Human Dataset for Versatile Sensing and Modeling


Apr 28, 2022
Zhongang Cai, Daxuan Ren, Ailing Zeng, Zhengyu Lin, Tao Yu, Wenjia Wang, Xiangyu Fan, Yang Gao, Yifan Yu, Liang Pan, Fangzhou Hong, Mingyuan Zhang, Chen Change Loy, Lei Yang, Ziwei Liu

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* Homepage: https://caizhongang.github.io/projects/HuMMan/ 

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WegFormer: Transformers for Weakly Supervised Semantic Segmentation


Mar 16, 2022
Chunmeng Liu, Enze Xie, Wenjia Wang, Wenhai Wang, Guangyao Li, Ping Luo

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* Tech Report 

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Smooth Nested Simulation: Bridging Cubic and Square Root Convergence Rates in High Dimensions


Jan 25, 2022
Wenjia Wang, Yanyuan Wang, Xiaowei Zhang

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* Main body: 39 pages, 5 figures, 3 tables; Supplmental material: 19 pages 

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Differentiable and Scalable Generative Adversarial Models for Data Imputation


Jan 10, 2022
Yangyang Wu, Jun Wang, Xiaoye Miao, Wenjia Wang, Jianwei Yin

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Understanding Square Loss in Training Overparametrized Neural Network Classifiers


Dec 07, 2021
Tianyang Hu, Jun Wang, Wenjia Wang, Zhenguo Li

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Segmenting Transparent Object in the Wild with Transformer


Feb 23, 2021
Enze Xie, Wenjia Wang, Wenhai Wang, Peize Sun, Hang Xu, Ding Liang, Ping Luo

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* Tech. Report 

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