Search Results for author: Victor O. K. Li

Found 32 papers, 8 papers with code

Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNet

1 code implementation13 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.

Machine Translation Position +3

Deep-AIR: A Hybrid CNN-LSTM Framework for Air Quality Modeling in Metropolitan Cities

no code implementations25 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.

On the Sparsity of Neural Machine Translation Models

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.

Machine Translation NMT +1

Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution

1 code implementation20 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.

Semantic correspondence

Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks

2 code implementations22 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.

Decoder General Knowledge +4

Max-min Fairness of K-user Cooperative Rate-Splitting in MISO Broadcast Channel with User Relaying

no code implementations17 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.

Fairness Scheduling

Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations

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.

Decoder Machine Translation +2

Meta-Learning for Low-Resource Neural Machine Translation

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.

Low Resource Neural Machine Translation Low-Resource Neural Machine Translation +4

A Stable and Effective Learning Strategy for Trainable Greedy Decoding

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.

Decoder Machine Translation +1

Universal Neural Machine Translation for Extremely Low Resource Languages

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.

Machine Translation Sentence +2

Zero-Resource Neural Machine Translation with Multi-Agent Communication Game

no code implementations9 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.

Decoder Image Captioning +3

Neural Machine Translation with Gumbel-Greedy Decoding

no code implementations22 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.

Machine Translation Translation

Search Engine Guided Non-Parametric Neural Machine Translation

no code implementations20 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.

fr-en Machine Translation +4

A Teacher-Student Framework for Zero-Resource Neural Machine Translation

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.

Machine Translation NMT +2

Trainable Greedy Decoding for Neural Machine Translation

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.

Decoder Machine Translation +1

pg-Causality: Identifying Spatiotemporal Causal Pathways for Air Pollutants with Urban Big Data

no code implementations22 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}.

Incorporating Copying Mechanism in Sequence-to-Sequence Learning

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.

Decoder Text Summarization

A Revisit of Infinite Population Models for Evolutionary Algorithms on Continuous Optimization Problems

no code implementations26 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.

Evolutionary Algorithms

A Social Spider Algorithm for Solving the Non-convex Economic Load Dispatch Problem

no code implementations27 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.

Parameter Sensitivity Analysis of Social Spider Algorithm

no code implementations9 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.

Adaptive Chemical Reaction Optimization for Global Numerical Optimization

no code implementations9 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.

Efficient Learning for Undirected Topic Models

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.

General Classification Retrieval +1

A Social Spider Algorithm for Global Optimization

no code implementations9 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.

Evolutionary Artificial Neural Network Based on Chemical Reaction Optimization

no code implementations1 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.

Evolutionary Algorithms

Optimal V2G Scheduling of Electric Vehicles and Unit Commitment using Chemical Reaction Optimization

no code implementations1 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.

Scheduling

Chemical Reaction Optimization for the Set Covering Problem

no code implementations1 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.

Combinatorial Optimization

An Inter-molecular Adaptive Collision Scheme for Chemical Reaction Optimization

no code implementations1 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.

Evolutionary Algorithms

Sensor Deployment for Air Pollution Monitoring Using Public Transportation System

no code implementations1 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.

Real-Coded Chemical Reaction Optimization with Different Perturbation Functions

no code implementations1 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.

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