Search Results for author: Jie Hao

Found 20 papers, 3 papers with code

OPPO’s Machine Translation Systems for WMT20

no code implementations WMT (EMNLP) 2020 Tingxun Shi, Shiyu Zhao, Xiaopu Li, Xiaoxue Wang, Qian Zhang, Di Ai, Dawei Dang, Xue Zhengshan, Jie Hao

In this paper we demonstrate our (OPPO’s) machine translation systems for the WMT20 Shared Task on News Translation for all the 22 language pairs.

Machine Translation Translation

RAST: Domain-Robust Dialogue Rewriting as Sequence Tagging

no code implementations EMNLP 2021 Jie Hao, Linfeng Song, LiWei Wang, Kun Xu, Zhaopeng Tu, Dong Yu

The task of dialogue rewriting aims to reconstruct the latest dialogue utterance by copying the missing content from the dialogue context.

Dialogue Rewriting Text Generation

Contextual Rephrase Detection for Reducing Friction in Dialogue Systems

no code implementations EMNLP 2021 Zhuoyi Wang, Saurabh Gupta, Jie Hao, Xing Fan, Dingcheng Li, Alexander Hanbo Li, Chenlei Guo

Rephrase detection is used to identify the rephrases and has long been treated as a task with pairwise input, which does not fully utilize the contextual information (e. g. users’ implicit feedback).

Friction

Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis

1 code implementation17 Jan 2024 Jie Hao, Xiaochuan Gong, Mingrui Liu

When the upper-level problem is nonconvex and unbounded smooth, and the lower-level problem is strongly convex, we prove that our algorithm requires $\widetilde{\mathcal{O}}(1/\epsilon^4)$ iterations to find an $\epsilon$-stationary point in the stochastic setting, where each iteration involves calling a stochastic gradient or Hessian-vector product oracle.

Bilevel Optimization Hyperparameter Optimization +3

Multiobjective Hydropower Reservoir Operation Optimization with Transformer-Based Deep Reinforcement Learning

no code implementations11 Jul 2023 Rixin Wu, Ran Wang, Jie Hao, Qiang Wu, Ping Wang

Due to shortage of water resources and increasing water demands, the joint operation of multireservoir systems for balancing power generation, ecological protection, and the residential water supply has become a critical issue in hydropower management.

Management reinforcement-learning

Improving Mandarin Speech Recogntion with Block-augmented Transformer

2 code implementations24 Jul 2022 Xiaoming Ren, Huifeng Zhu, Liuwei Wei, Minghui Wu, Jie Hao

In this work, we believe that the output information of each block in the encoder and decoder is not completely inclusive, in other words, their output information may be complementary.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Robust Dialogue Utterance Rewriting as Sequence Tagging

1 code implementation29 Dec 2020 Jie Hao, Linfeng Song, LiWei Wang, Kun Xu, Zhaopeng Tu, Dong Yu

The task of dialogue rewriting aims to reconstruct the latest dialogue utterance by copying the missing content from the dialogue context.

Dialogue Rewriting Text Generation

Multi-Granularity Self-Attention for Neural Machine Translation

no code implementations IJCNLP 2019 Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu

Current state-of-the-art neural machine translation (NMT) uses a deep multi-head self-attention network with no explicit phrase information.

Machine Translation NMT +1

Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons

no code implementations IJCNLP 2019 Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu

Recent studies have shown that a hybrid of self-attention networks (SANs) and recurrent neural networks (RNNs) outperforms both individual architectures, while not much is known about why the hybrid models work.

Inductive Bias Machine Translation +1

Modeling Recurrence for Transformer

no code implementations NAACL 2019 Jie Hao, Xing Wang, Baosong Yang, Long-Yue Wang, Jinfeng Zhang, Zhaopeng Tu

In addition to the standard recurrent neural network, we introduce a novel attentive recurrent network to leverage the strengths of both attention and recurrent networks.

Machine Translation Translation

Adversarial adaptive 1-D convolutional neural networks for bearing fault diagnosis under varying working condition

no code implementations1 May 2018 Bo Zhang, Wei Li, Jie Hao, Xiao-Li Li, Meng Zhang

The layers between the source and target feature extractor are partially untied during the training stage to take both training efficiency and domain adaptation into consideration.

Domain Adaptation

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