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Di He

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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

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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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Exploration of Dark Chemical Genomics Space via Portal Learning: Applied to Targeting the Undruggable Genome and COVID-19 Anti-Infective Polypharmacology

Nov 23, 2021
Tian Cai, Li Xie, Muge Chen, Yang Liu, Di He, Shuo Zhang, Cameron Mura, Philip E. Bourne, Lei Xie

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Can Vision Transformers Perform Convolution?

Nov 03, 2021
Shanda Li, Xiangning Chen, Di He, Cho-Jui Hsieh

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Boosting the Certified Robustness of L-infinity Distance Nets

Oct 13, 2021
Bohang Zhang, Du Jiang, Di He, Liwei Wang

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Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding

Jun 23, 2021
Shengjie Luo, Shanda Li, Tianle Cai, Di He, Dinglan Peng, Shuxin Zheng, Guolin Ke, Liwei Wang, Tie-Yan Liu

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