2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Institute of High Performance ComputingSG402 papers
- National University of SingaporeSG364 papers
- Nanyang Technological UniversitySG280 papers
- Institute for Infocomm ResearchSG266 papers
- Institute of Materials Research and EngineeringSG173 papers
- Data Storage InstituteSG90 papers
- Singapore University of Technology and DesignSG70 papers
- Centre for Quantum TechnologiesSG40 papers
- Chinese Academy of SciencesCN33 papers
- Australian National UniversityAU27 papers
- Massachusetts Institute of TechnologyUS27 papers
- Bioinformatics InstituteSG25 papers
92 papers · 1 filter
Surface exciton polaritons: a promising mechanism for sensing applications
Yi Xu, Lin Wu, L. K. Ang
The possibility of constructing a surface exciton polariton (SEP) based sensor at room temperature is explored. The proposed SEP sensor is based on the Kretschmann-Raether configur…
Giant intrinsic photoresponse in pristine graphene
Qiong Ma, Chun Hung Lui, Justin C. W. Song +14
When the Fermi level matches the Dirac point in graphene, the reduced charge screening can dramatically enhance electron-electron (e-e) scattering to produce a strongly interacting…
Distributed Anomaly Detection using Autoencoder Neural Networks in WSN for IoT
Tie Luo, Sai G. Nagarajan
Wireless sensor networks (WSN) are fundamental to the Internet of Things (IoT) by bridging the gap between the physical and the cyber worlds. Anomaly detection is a critical task i…
An Efficient and Truthful Pricing Mechanism for Team Formation in Crowdsourcing Markets
Qing Liu, Tie Luo, Ruiming Tang +1
In a crowdsourcing market, a requester is looking to form a team of workers to perform a complex task that requires a variety of skills. Candidate workers advertise their certified…
Optimal Prizes for All-Pay Contests in Heterogeneous Crowdsourcing
Tie Luo, Salil S. Kanhere, Sajal K. Das +1
Incentives are key to the success of crowdsourcing which heavily depends on the level of user participation. This paper designs an incentive mechanism to motivate a heterogeneous c…
A Functional Taxonomy of Music Generation Systems
Dorien Herremans, Ching-Hua Chuan, Elaine Chew
Digital advances have transformed the face of automatic music generation since its beginnings at the dawn of computing. Despite the many breakthroughs, issues such as the musical t…
Adversarially Learned Anomaly Detection
Houssam Zenati, Manon Romain, Chuan Sheng Foo +2
Anomaly detection is a significant and hence well-studied problem. However, developing effective anomaly detection methods for complex and high-dimensional data remains a challenge…
Singing Voice Separation Using a Deep Convolutional Neural Network Trained by Ideal Binary Mask and Cross Entropy
Kin Wah Edward Lin, Balamurali B. T., Enyan Koh +2
Separating a singing voice from its music accompaniment remains an important challenge in the field of music information retrieval. We present a unique neural network approach insp…
Classical simulation of quantum circuits by half Gauss sums
Kaifeng Bu, Dax Enshan Koh
We give an efficient algorithm to evaluate a certain class of exponential sums, namely the periodic, quadratic, multivariate half Gauss sums. We show that these exponential sums be…
From Context to Concept: Exploring Semantic Relationships in Music with Word2Vec
Ching-Hua Chuan, Kat Agres, Dorien Herremans
We explore the potential of a popular distributional semantics vector space model, word2vec, for capturing meaningful relationships in ecological (complex polyphonic) music. More p…
Accelerating Photovoltaic Materials Development via High-Throughput Experiments and Machine-Learning-Assisted Diagnosis
Shijing Sun, Noor T. P. Hartono, Zekun D. Ren +15
Accelerating the experimental cycle for new materials development is vital for addressing the grand energy challenges of the 21st century. We fabricate and characterize 75 unique h…
Holistic Multi-modal Memory Network for Movie Question Answering
Anran Wang, Anh Tuan Luu, Chuan-Sheng Foo +3
Answering questions according to multi-modal context is a challenging problem as it requires a deep integration of different data sources. Existing approaches only employ partial i…
Electron quantum metamaterials in van der Waals heterostructures
Justin C. W. Song, Nathaniel M. Gabor
In recent decades, scientists have developed the means to engineer synthetic periodic arrays with feature sizes below the wavelength of light. When such features are appropriately…
Atomistic S-matrix method for numerical simulation of phonon reflection, transmission and boundary scattering
Zhun-Yong Ong
The control of phonon scattering by interfaces is critical to the manipulation of heat conduction in composite materials and semiconducting nanostructures. However, one of the fact…
Role of gallium diffusion in the formation of a magnetically dead layer at Y3Fe5O12 / Gd3Ga5O12 epitaxial interface
S. M. Suturin, A. M. Korovin, V. E. Bursian +9
We have clarified the origin of magnetically dead interface layer formed in yttrium iron garnet (YIG) films grown at above 700°C onto gadolinium gallium garnet (GGG) substrate by m…
Stochastic Modified Equations and Dynamics of Stochastic Gradient Algorithms I: Mathematical Foundations
Qianxiao Li, Cheng Tai, Weinan E
We develop the mathematical foundations of the stochastic modified equations (SME) framework for analyzing the dynamics of stochastic gradient algorithms, where the latter is appro…
Single layer MoS2 nanoribbon field effect transistor
D. Kotekar-Patil, J. Deng, S. L. Wong +2
We study field effect transistor characteristics in etched single layer MoS2 nanoribbon devices of width 50nm with ohmic contacts. We employ a SF6 dry plasma process to etch MoS2 n…
PersEmoN: A Deep Network for Joint Analysis of Apparent Personality, Emotion and Their Relationship
Le Zhang, Songyou Peng, Stefan Winkler
Apparent personality and emotion analysis are both central to affective computing. Existing works solve them individually. In this paper we investigate if such high-level affect tr…
Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks
Felipe Oviedo, Zekun Ren, Shijing Sun +9
X-ray diffraction (XRD) data acquisition and analysis is among the most time-consuming steps in the development cycle of novel thin-film materials. We propose a machine-learning-en…
Densely Connected Attention Propagation for Reading Comprehension
Yi Tay, Luu Anh Tuan, Siu Cheung Hui +1
We propose DecaProp (Densely Connected Attention Propagation), a new densely connected neural architecture for reading comprehension (RC). There are two distinct characteristics of…
High Speed Tracking With A Fourier Domain Kernelized Correlation Filter
Mingyang Guan, Zhengguo Li, Renjie He +1
It is challenging to design a high speed tracking approach using l1-norm due to its non-differentiability. In this paper, a new kernelized correlation filter is introduced by lever…
Theoretical and Experimental Analysis on the Generalizability of Distribution Regression Network
Connie Kou, Hwee Kuan Lee, Jorge Sanz +1
There is emerging interest in performing regression between distributions. In contrast to prediction on single instances, these machine learning methods can be useful for populatio…
Point Defects and Localized Excitons in 2D WSe2
Yu Jie Zheng, Yifeng Chen, Yu Li Huang +8
Identifying the point defects in 2D materials is important for many applications. Recent studies have proposed that W vacancies are the predominant point defect in 2D WSe2, in cont…
Polarization effects in the nonlinear interference of down-converted photons
Anna Paterova, Hongzhi Yang, Chengwu An +2
We study polarization effects in the nonlinear interference of photons generated via frequency non-degenerate spontaneous parametric down conversion. Signal and idler photons gener…