Di He

Associate Researcher

Microsoft Research

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

Papers73 papers

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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

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

Di He,Lei Xie

Bibtex

GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training

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

Bibtex

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

Rethinking the Positional Encoding in Language Pre-training

Guolin Ke,Di He,Tie-Yan Liu

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, pp.10524-10533, (2020)

Cited by7EIBibtex

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 by9EIBibtex

Non-Autoregressive Machine Translation with Auxiliary Regularization

Yiren Wang,Fei Tian,Di He,Tao Qin,ChengXiang Zhai,Tie-Yan Liu

AAAI, (2019)

Cited by41EIBibtex

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 by8EIBibtex

Fast Structured Decoding for Sequence Models

Sun Zhiqing, Li Zhuohan, Wang Haoqing, Lin Zi,He Di,Deng Zhi-Hong

Bibtex

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 by9EIBibtex

Machine Translation With Weakly Paired Documents

Lijun Wu, Jinhua Zhu,Di He, Fei Gao,Tao Qin,Jianhuang Lai,Tie-Yan Liu

EMNLP/IJCNLP (1), pp.4374-4383, (2019)

Cited by1EIBibtex

Prediction of off-target specificity and cell-specific fitness of CRISPR-Cas System using attention boosted deep learning and network-based gene feature

Qiao Liu,Di He,Lei Xie

PLoS computational biology, no. 10 (2019)

WOSBibtex

Deliberation Learning for Image-to-Image Translation

Tianyu He,Yingce Xia,Jianxin Lin,Xu Tan,Di He,Tao Qin,Zhibo Chen

IJCAI, pp.2484-2490, (2019)

EIBibtex

Representation Degeneration Problem in Training Natural Language Generation Models

Jun Gao,Di He,Xu Tan,Tao Qin,Liwei Wang,Tie-Yan Liu

ICLR, (2019)

Cited by11EIBibtex

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Papers73 papers

Di He