1 code implementation • 13 Sep 2021 • Xingwei He, Victor O. K. Li
To overcome this challenge, we used a classifier to instruct the MCMC-based models where and how to refine the candidate sentences.
no code implementations • 25 Mar 2021 • Yang Han, Qi Zhang, Victor O. K. Li, Jacqueline C. K. Lam
Our proposed framework creates 1x1 convolution layers to strengthen the learning of cross-feature spatial interaction between air pollution and important urban dynamic features, particularly road density, building density/height, and street canyon effect.
no code implementations • EMNLP 2020 • Yong Wang, Longyue Wang, Victor O. K. Li, Zhaopeng Tu
Modern neural machine translation (NMT) models employ a large number of parameters, which leads to serious over-parameterization and typically causes the underutilization of computational resources.
1 code implementation • 20 Apr 2020 • Yingruo Fan, Jacqueline C. K. Lam, Victor O. K. Li
The intensity estimation of facial action units (AUs) is challenging due to subtle changes in the person's facial appearance.
2 code implementations • 22 Nov 2019 • Yong Wang, Long-Yue Wang, Shuming Shi, Victor O. K. Li, Zhaopeng Tu
The key challenge of multi-domain translation lies in simultaneously encoding both the general knowledge shared across domains and the particular knowledge distinctive to each domain in a unified model.
no code implementations • 17 Oct 2019 • Yijie Mao, Bruno Clerckx, Jian Zhang, Victor O. K. Li, Mohammed Arafah
Cooperative Rate-Splitting (CRS) strategy, relying on linearly precoded rate-splitting at the transmitter and opportunistic transmission of the common message by the relaying user, has recently been shown to outperform typical Non-cooperative Rate-Splitting (NRS), Cooperative Non-Orthogonal Multiple Access (C-NOMA) and Space Division Multiple Access (SDMA) in a two-user Multiple Input Single Output (MISO) Broadcast Channel (BC) with user relaying.
no code implementations • ACL 2019 • Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O. K. Li
Zero-shot translation, translating between language pairs on which a Neural Machine Translation (NMT) system has never been trained, is an emergent property when training the system in multilingual settings.
no code implementations • EMNLP 2018 • Jiatao Gu, Yong Wang, Yun Chen, Kyunghyun Cho, Victor O. K. Li
We frame low-resource translation as a meta-learning problem, and we learn to adapt to low-resource languages based on multilingual high-resource language tasks.
no code implementations • 8 Jul 2018 • Yong Wang, Xiao-Ming Wu, Qimai Li, Jiatao Gu, Wangmeng Xiang, Lei Zhang, Victor O. K. Li
The key issue of few-shot learning is learning to generalize.
1 code implementation • EMNLP 2018 • Yun Chen, Victor O. K. Li, Kyunghyun Cho, Samuel R. Bowman
Beam search is a widely used approximate search strategy for neural network decoders, and it generally outperforms simple greedy decoding on tasks like machine translation.
no code implementations • NAACL 2018 • Jiatao Gu, Hany Hassan, Jacob Devlin, Victor O. K. Li
Our proposed approach utilizes a transfer-learning approach to share lexical and sentence level representations across multiple source languages into one target language.
no code implementations • 9 Feb 2018 • Yun Chen, Yang Liu, Victor O. K. Li
While end-to-end neural machine translation (NMT) has achieved notable success in the past years in translating a handful of resource-rich language pairs, it still suffers from the data scarcity problem for low-resource language pairs and domains.
2 code implementations • ICLR 2018 • Jiatao Gu, James Bradbury, Caiming Xiong, Victor O. K. Li, Richard Socher
Existing approaches to neural machine translation condition each output word on previously generated outputs.
Ranked #3 on Machine Translation on IWSLT2015 English-German
no code implementations • 22 Jun 2017 • Jiatao Gu, Daniel Jiwoong Im, Victor O. K. Li
Previous neural machine translation models used some heuristic search algorithms (e. g., beam search) in order to avoid solving the maximum a posteriori problem over translation sentences at test time.
no code implementations • 20 May 2017 • Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O. K. Li
In this paper, we extend an attention-based neural machine translation (NMT) model by allowing it to access an entire training set of parallel sentence pairs even after training.
no code implementations • ACL 2017 • Yun Chen, Yang Liu, Yong Cheng, Victor O. K. Li
While end-to-end neural machine translation (NMT) has made remarkable progress recently, it still suffers from the data scarcity problem for low-resource language pairs and domains.
1 code implementation • EMNLP 2017 • Jiatao Gu, Kyunghyun Cho, Victor O. K. Li
Instead of trying to build a new decoding algorithm for any specific decoding objective, we propose the idea of trainable decoding algorithm in which we train a decoding algorithm to find a translation that maximizes an arbitrary decoding objective.
no code implementations • 22 Oct 2016 • Julie Yixuan Zhu, Chao Zhang, Huichu Zhang, Shi Zhi, Victor O. K. Li, Jiawei Han, Yu Zheng
Therefore, we present \emph{p-Causality}, a novel pattern-aided causality analysis approach that combines the strengths of \emph{pattern mining} and \emph{Bayesian learning} to efficiently and faithfully identify the \emph{ST causal pathways}.
1 code implementation • EACL 2017 • Jiatao Gu, Graham Neubig, Kyunghyun Cho, Victor O. K. Li
Translating in real-time, a. k. a.
7 code implementations • ACL 2016 • Jiatao Gu, Zhengdong Lu, Hang Li, Victor O. K. Li
CopyNet can nicely integrate the regular way of word generation in the decoder with the new copying mechanism which can choose sub-sequences in the input sequence and put them at proper places in the output sequence.
no code implementations • 26 Sep 2015 • Bo Song, Victor O. K. Li
Then, in order to analyze infinite population models, we build an analytical framework based on convergence in distribution of random elements which take values in the metric space of infinite sequences.
no code implementations • 27 Jul 2015 • James J. Q. Yu, Victor O. K. Li
Economic Load Dispatch (ELD) is one of the essential components in power system control and operation.
no code implementations • 9 Jul 2015 • James J. Q. Yu, Victor O. K. Li
Social Spider Algorithm (SSA) is a recently proposed general-purpose real-parameter metaheuristic designed to solve global numerical optimization problems.
no code implementations • 9 Jul 2015 • James J. Q. Yu, Albert Y. S. Lam, Victor O. K. Li
A newly proposed chemical-reaction-inspired metaheurisic, Chemical Reaction Optimization (CRO), has been applied to many optimization problems in both discrete and continuous domains.
no code implementations • IJCNLP 2015 • Jiatao Gu, Victor O. K. Li
Replicated Softmax model, a well-known undirected topic model, is powerful in extracting semantic representations of documents.
no code implementations • 9 Feb 2015 • James J. Q. Yu, Victor O. K. Li
Inspired by the social spiders, we propose a novel Social Spider Algorithm to solve global optimization problems.
no code implementations • 1 Feb 2015 • James J. Q. Yu, Victor O. K. Li, Albert Y. S. Lam
However, the functionality of the inter-molecular ineffective collision operator in the canonical CRO design overlaps that of the on-wall ineffective collision operator, which can potential impair the overall performance.
no code implementations • 1 Feb 2015 • James J. Q. Yu, Victor O. K. Li, Albert Y. S. Lam
Air pollution monitoring is a very popular research topic and many monitoring systems have been developed.
no code implementations • 1 Feb 2015 • James J. Q. Yu, Victor O. K. Li, Albert Y. S. Lam
An electric vehicle (EV) may be used as energy storage which allows the bi-directional electricity flow between the vehicle's battery and the electric power grid.
no code implementations • 1 Feb 2015 • James J. Q. Yu, Albert Y. S. Lam, Victor O. K. Li
Evolutionary algorithms (EAs) are very popular tools to design and evolve artificial neural networks (ANNs), especially to train them.
no code implementations • 1 Feb 2015 • James J. Q. Yu, Albert Y. S. Lam, Victor O. K. Li
The set covering problem (SCP) is one of the representative combinatorial optimization problems, having many practical applications.
no code implementations • 1 Feb 2015 • James J. Q. Yu, Albert Y. S. Lam, Victor O. K. Li
The distributions are tested by a set of well-known benchmark functions and simulation results show that problems with different characteristics have different preference on the distribution function.