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.

Papers75 papers

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Taking Notes on the Fly Helps Language Pre-Training

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

ICLR 2021, (2021)

Bibtex

Rethinking Positional Encoding in Language Pre-training

Guolin Ke,Di He,Tie-Yan Liu

ICLR 2021, (2021)

Bibtex

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

GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training

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

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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

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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

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

Di He,Lei Xie

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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

Invertible Image Rescaling

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

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 by9EIBibtex

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

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

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

Structured Decoding for Non-Autoregressive Machine Translation

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

neural information processing systems, (2019)

Bibtex

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

Fast Structured Decoding for Sequence Models

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

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Papers75 papers

Di He