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Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks


Jun 09, 2022
Huishuai Zhang, Da Yu, Yiping Lu, Di He

* 13 pages 

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Is $L^2$ Physics-Informed Loss Always Suitable for Training Physics-Informed Neural Network?


Jun 04, 2022
Chuwei Wang, Shanda Li, Di He, Liwei Wang


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Your Transformer May Not be as Powerful as You Expect


May 26, 2022
Shengjie Luo, Shanda Li, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He

* Preprint. Work in Progress 

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METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals


Apr 16, 2022
Payal Bajaj, Chenyan Xiong, Guolin Ke, Xiaodong Liu, Di He, Saurabh Tiwary, Tie-Yan Liu, Paul Bennett, Xia Song, Jianfeng Gao

* Update details in scaled initialization and add acknowledgement 

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An Empirical Study of Graphormer on Large-Scale Molecular Modeling Datasets


Mar 14, 2022
Yu Shi, Shuxin Zheng, Guolin Ke, Yifei Shen, Jiacheng You, Jiyan He, Shengjie Luo, Chang Liu, Di He, Tie-Yan Liu

* Wrong dual-submission (arXiv:2203.04810) with negligently 

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Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets


Mar 09, 2022
Yu Shi, Shuxin Zheng, Guolin Ke, Yifei Shen, Jiacheng You, Jiyan He, Shengjie Luo, Chang Liu, Di He, Tie-Yan Liu


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VADOI:Voice-Activity-Detection Overlapping Inference For End-to-end Long-form Speech Recognition


Feb 22, 2022
Jinhan Wang, Xiaosu Tong, Jinxi Guo, Di He, Roland Maas


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Learning Physics-Informed Neural Networks without Stacked Back-propagation


Feb 18, 2022
Di He, Wenlei Shi, Shanda Li, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu


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HousE: Knowledge Graph Embedding with Householder Parameterization


Feb 16, 2022
Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang


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