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Di He

Do Transformers Really Perform Bad for Graph Representation?


Jun 09, 2021
Chengxuan Ying, Tianle Cai, Shengjie Luo, Shuxin Zheng, Guolin Ke, Di He, Yanming Shen, Tie-Yan Liu

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How could Neural Networks understand Programs?


May 31, 2021
Dinglan Peng, Shuxin Zheng, Yatao Li, Guolin Ke, Di He, Tie-Yan Liu

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* ICML 2021 
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Adversarial Training with Rectified Rejection


May 31, 2021
Tianyu Pang, Huishuai Zhang, Di He, Yinpeng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu

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Wav2vec-C: A Self-supervised Model for Speech Representation Learning


Mar 09, 2021
Samik Sadhu, Di He, Che-Wei Huang, Sri Harish Mallidi, Minhua Wu, Ariya Rastrow, Andreas Stolcke, Jasha Droppo, Roland Maas

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Transformers with Competitive Ensembles of Independent Mechanisms


Feb 27, 2021
Alex Lamb, Di He, Anirudh Goyal, Guolin Ke, Chien-Feng Liao, Mirco Ravanelli, Yoshua Bengio

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* Under Review, ICML 2021 
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LazyFormer: Self Attention with Lazy Update


Feb 25, 2021
Chengxuan Ying, Guolin Ke, Di He, Tie-Yan Liu

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Less is More: Pre-training a Strong Siamese Encoder Using a Weak Decoder


Feb 18, 2021
Shuqi Lu, Chenyan Xiong, Di He, Guolin Ke, Waleed Malik, Zhicheng Dou, Paul Bennett, Tieyan Liu, Arnold Overwijk

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Revisiting Language Encoding in Learning Multilingual Representations


Feb 16, 2021
Shengjie Luo, Kaiyuan Gao, Shuxin Zheng, Guolin Ke, Di He, Liwei Wang, Tie-Yan Liu

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


Feb 10, 2021
Bohang Zhang, Tianle Cai, Zhou Lu, Di He, Liwei Wang

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CODE-AE: A Coherent De-confounding Autoencoder for Predicting Patient-Specific Drug Response From Cell Line Transcriptomics


Jan 31, 2021
Di He, Lei Xie

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


Oct 09, 2020
Di He, Lei Xie

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GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training


Sep 07, 2020
Tianle Cai, Shengjie Luo, Keyulu Xu, Di He, Tie-yan Liu, Liwei Wang

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Variance-reduced Language Pretraining via a Mask Proposal Network


Aug 12, 2020
Liang Chen, Tianyuan Zhang, Di He, Guolin Ke, Liwei Wang, Tie-Yan Liu

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Taking Notes on the Fly Helps BERT Pre-training


Aug 04, 2020
Qiyu Wu, Chen Xing, Yatao Li, Guolin Ke, Di He, Tie-Yan Liu

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* Qiyu Wu and Chen Xing contribute equally 
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Transferred Discrepancy: Quantifying the Difference Between Representations


Jul 24, 2020
Yunzhen Feng, Runtian Zhai, Di He, Liwei Wang, Bin Dong

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* 23 pages, 3 figures 
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Rethinking Positional Encoding in Language Pre-training


Jul 09, 2020
Guolin Ke, Di He, Tie-Yan Liu

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* refine writing; update down-stream results due to bug fix 
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Rethinking the Positional Encoding in Language Pre-training


Jun 28, 2020
Guolin Ke, Di He, Tie-Yan Liu

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


Jun 16, 2020
Zhenhui Xu, Linyuan Gong, Guolin Ke, Di He, Shuxin Zheng, Liwei Wang, Jiang Bian, Tie-Yan Liu

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Invertible Image Rescaling


May 12, 2020
Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu

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Incorporating BERT into Neural Machine Translation


Feb 17, 2020
Jinhua Zhu, Yingce Xia, Lijun Wu, Di He, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu

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* Accepted to ICLR-2020 
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MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius


Feb 15, 2020
Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang

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* In ICLR 2020. 20 Pages 
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On Layer Normalization in the Transformer Architecture


Feb 12, 2020
Ruibin Xiong, Yunchang Yang, Di He, Kai Zheng, Shuxin Zheng, Chen Xing, Huishuai Zhang, Yanyan Lan, Liwei Wang, Tie-Yan Liu

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Defective Convolutional Layers Learn Robust CNNs


Nov 19, 2019
Tiange Luo, Tianle Cai, Mengxiao Zhang, Siyu Chen, Di He, Liwei Wang

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Fast Structured Decoding for Sequence Models


Oct 25, 2019
Zhiqing Sun, Zhuohan Li, Haoqing Wang, Zi Lin, Di He, Zhi-Hong Deng

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* Accepted to NeurIPS 2019 (Previous title: Structured Decoding for Non-Autoregressive Machine Translation) 
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On the Anomalous Generalization of GANs


Oct 06, 2019
Jinchen Xuan, Yunchang Yang, Ze Yang, Di He, Liwei Wang

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