Biao Zhang

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Xiamen University

Point Cloud Instance Segmentation using Probabilistic Embeddings

In this paper we propose a new framework for point cloud instance segmen...
11/30/2019 ∙ by Biao Zhang, et al. ∙ 14 ∙ share

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A GRU-Gated Attention Model for Neural Machine Translation

Neural machine translation (NMT) heavily relies on an attention network ...
04/27/2017 ∙ by Biao Zhang, et al. ∙ 0 ∙ share

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Recurrent Neural Machine Translation

The vanilla attention-based neural machine translation has achieved prom...
07/29/2016 ∙ by Biao Zhang, et al. ∙ 0 ∙ share

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BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings

In this paper, we propose a bidimensional attention based recursive auto...
05/25/2016 ∙ by Biao Zhang, et al. ∙ 0 ∙ share

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Variational Neural Machine Translation

Models of neural machine translation are often from a discriminative fam...
05/25/2016 ∙ by Biao Zhang, et al. ∙ 0 ∙ share

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Variational Neural Discourse Relation Recognizer

Implicit discourse relation recognition is a crucial component for autom...
03/12/2016 ∙ by Biao Zhang, et al. ∙ 0 ∙ share

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Neural Discourse Relation Recognition with Semantic Memory

Humans comprehend the meanings and relations of discourses heavily relyi...
03/12/2016 ∙ by Biao Zhang, et al. ∙ 0 ∙ share

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Variational Recurrent Neural Machine Translation

Partially inspired by successful applications of variational recurrent n...
01/16/2018 ∙ by Jinsong Su, et al. ∙ 0 ∙ share

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Accelerating Neural Transformer via an Average Attention Network

With parallelizable attention networks, the neural Transformer is very f...
05/02/2018 ∙ by Biao Zhang, et al. ∙ 0 ∙ share

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Otem&Utem: Over- and Under-Translation Evaluation Metric for NMT

Although neural machine translation(NMT) yields promising translation pe...
07/24/2018 ∙ by Jing Yang, et al. ∙ 0 ∙ share

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Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks

In this paper, we propose an additionsubtraction twin-gated recurrent ne...
10/30/2018 ∙ by Biao Zhang, et al. ∙ 0 ∙ share

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Revisiting Low-Resource Neural Machine Translation: A Case Study

It has been shown that the performance of neural machine translation (NM...
05/28/2019 ∙ by Rico Sennrich, et al. ∙ 0 ∙ share

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A Lightweight Recurrent Network for Sequence Modeling

Recurrent networks have achieved great success on various sequential tas...
05/30/2019 ∙ by Biao Zhang, et al. ∙ 0 ∙ share

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Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention

The general trend in NLP is towards increasing model capacity and perfor...
08/29/2019 ∙ by Biao Zhang, et al. ∙ 0 ∙ share

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Root Mean Square Layer Normalization

Layer normalization (LayerNorm) has been successfully applied to various...
10/16/2019 ∙ by Biao Zhang, et al. ∙ 0 ∙ share

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Biao Zhang

Featured Co-authors

Rongrong Ji

Min Zhang

Qun Liu

Jing Yang

Ivan Titov

Rico Sennrich

Peter Wonka

Deyi Xiong

Jinsong Su

Qian Lin

Xianpei Han

Point Cloud Instance Segmentation using Probabilistic Embeddings

A GRU-Gated Attention Model for Neural Machine Translation

Recurrent Neural Machine Translation

BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings

Variational Neural Machine Translation

Variational Neural Discourse Relation Recognizer

Neural Discourse Relation Recognition with Semantic Memory

Variational Recurrent Neural Machine Translation

Accelerating Neural Transformer via an Average Attention Network

Otem&Utem: Over- and Under-Translation Evaluation Metric for NMT

Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks

Revisiting Low-Resource Neural Machine Translation: A Case Study

A Lightweight Recurrent Network for Sequence Modeling

Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention

Root Mean Square Layer Normalization