Di He - AI Profile

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Microsoft Research

微软(中国)有限公司

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His research interests include game theory (with applications to advertising and ecommerce), machine learning, information retrieval, and data mining.

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Papers74 papers

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GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training

Tianle Cai, Shengjie Luo, Keyulu Xu,Di He,Tie-yan Liu,Liwei Wang

ICML, pp.1204-1215, (2021)

EIBibtex

Towards Certifying $\ell_\infty$ Robustness using Neural Networks with $\ell_\infty$-dist Neurons

Bohang Zhang,Tianle Cai,Zhou Lu,Di He,Liwei Wang

ICML 2021, (2021)

Bibtex

Rethinking Positional Encoding in Language Pre-training

Guolin Ke,Di He,Tie-Yan Liu

ICLR, (2021)

EIBibtex

Taking Notes on the Fly Helps Language Pre-Training

Qiyu Wu, Chen Xing, Yatao Li,Guolin Ke,Di He,Tie-Yan Liu

ICLR, (2021)

EIBibtex

How could Neural Networks understand Programs

Dinglan Peng,Shuxin Zheng,Yatao Li,Guolin Ke,Di He,Tie-Yan Liu

ICML, pp.8476-8486, (2021)

EIBibtex

MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius

Runtian Zhai,Chen Dan,Di He,Huan Zhang,Boqing Gong,Pradeep Ravikumar,Cho-Jui Hsieh,Liwei Wang

ICLR, (2020)

Cited by8EIBibtex

Taking Notes on the Fly Helps BERT Pre-training

Qiyu Wu, Chen Xing, Yatao Li,Guolin Ke,Di He,Tie-Yan Liu

Bibtex

Transferred Discrepancy: Quantifying the Difference Between Representations

Yunzhen Feng, Runtian Zhai,Di He,Liwei Wang,Bin Dong

Bibtex

A Cross-Level Information Transmission Network for Predicting Phenotype from New Genotype: Application to Cancer Precision Medicine

Di He,Lei Xie

Bibtex

MC-BERT: Efficient Language Pre-Training via a Meta Controller

Xu Zhenhui, Gong Linyuan,Ke Guolin,He Di,Zheng Shuxin,Wang Liwei,Bian Jiang,Liu Tie-Yan

Bibtex

Invertible Image Rescaling

Xiao Mingqing,Zheng Shuxin, Liu Chang, Wang Yaolong,He Di,Ke Guolin, Bian Jiang,Lin Zhouchen,Liu Tie-Yan

Bibtex

On Layer Normalization in the Transformer Architecture

Xiong Ruibin, Yang Yunchang,He Di, Zheng Kai,Zheng Shuxin, Xing Chen,Zhang Huishuai,Lan Yanyan,Wang Liwei,Liu Tie-Yan

ICML, (2020): 10524-10533

Cited by32EIBibtex

Rethinking the Positional Encoding in Language Pre-training

Guolin Ke,Di He,Tie-Yan Liu

Bibtex

Incorporating BERT into Neural Machine Translation

Jinhua Zhu,Yingce Xia,Lijun Wu,Di He,Tao Qin,Wengang Zhou,Houqiang Li,Tieyan Liu

ICLR, (2020)

Cited by59EIBibtex

Adversarially Robust Generalization Just Requires More Unlabeled Data

Runtian Zhai,Tianle Cai,Di He,Chen Dan,Kun He,John E. Hopcroft,Liwei Wang

arXiv: Learning, (2019)

Cited by24EIBibtex

Hint-Based Training for Non-Autoregressive Machine Translation

Li Zhuohan,Lin Zi,He Di, Tian Fei,Qin Tao,Wang Liwei,Liu Tie-Yan

EMNLP/IJCNLP (1), pp.5707-5712, (2019)

Cited by27EIBibtex

Fast Structured Decoding for Sequence Models

Zhiqing Sun,Zhuohan Li, Haoqing Wang,Di He,Zi Lin,Zhihong Deng

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 3011-3020

Cited by10EIBibtex

Hint-based Training for Non-AutoRegressive Machine Translation

Zhuohan Li,Di He, Zi Lin,Fei Tian,Tao Qin,Liwei Wang,Tie-Yan Liu

international joint conference on natural language processing, (2019)

Bibtex

Multilingual Neural Machine Translation with Language Clustering

Xu Tan, Jiale Chen,Di He,Yingce Xia,Tao Qin,Tie-Yan Liu

EMNLP/IJCNLP (1), pp.963-973, (2019)

Cited by19EIBibtex

Structured Decoding for Non-Autoregressive Machine Translation

Zhiqing Sun, Zhuohan Li, Haoqing Wang,Di He, Zi Lin, Zhihong Deng

neural information processing systems, (2019)

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Di HeUnknow

Papers74 papers