82 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Nanyang Technological UniversitySG9 papers
- Agency for Science, Technology and ResearchSG2 papers
- Institute for Infocomm ResearchSG2 papers
- Tsinghua UniversityCN2 papers
- Alibaba Group (Cayman Islands)KY1 paper
- Alibaba Group (United States)US1 paper
- BC Research (Canada)CA1 paper
- Changchun University of Science and TechnologyCN1 paper
- Jilin Agricultural UniversityCN1 paper
- Jilin Province Science and Technology DepartmentCN1 paper
- Jilin UniversityCN1 paper
- Jimei UniversityCN1 paper
9 papers
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning
Chenyu Sun, Hangwei Qian, Chunyan Miao
In reinforcement learning (RL), it is challenging to learn directly from high-dimensional observations, where data augmentation has recently been shown to remedy this via encoding…
A Survey on Reinforcement Learning for Recommender Systems
Yuanguo Lin, Yong Liu, Fan Lin +5
Recommender systems have been widely applied in different real-life scenarios to help us find useful information. In particular, Reinforcement Learning (RL) based recommender syste…
Deep Learning Analysis and Age Prediction from Shoeprints
Muhammad Hassan, Yan Wang, Di Wang +4
Human walking and gaits involve several complex body parts and are influenced by personality, mood, social and cultural traits, and aging. These factors are reflected in shoeprints…
EEG-Based Emotion Recognition Using Regularized Graph Neural Networks
Peixiang Zhong, Di Wang, Chunyan Miao
Electroencephalography (EEG) measures the neuronal activities in different brain regions via electrodes. Many existing studies on EEG-based emotion recognition do not fully exploit…
An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss
Peixiang Zhong, Di Wang, Chunyan Miao
Affect conveys important implicit information in human communication. Having the capability to correctly express affect during human-machine conversations is one of the major miles…
SLMF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization
Yong Liu, Min Wu, Chenghao Liu +2
Synthetic lethality (SL) is a promising concept for novel discovery of anti-cancer drug targets. However, wet-lab experiments for detecting SLs are faced with various challenges, s…
PSDVec: a Toolbox for Incremental and Scalable Word Embedding
Shaohua Li, Jun Zhu, Chunyan Miao
PSDVec is a Python/Perl toolbox that learns word embeddings, i.e. the mapping of words in a natural language to continuous vectors which encode the semantic/syntactic regularities…
High quality voice conversion using prosodic and high-resolution spectral features
Hy Quy Nguyen, Siu Wa Lee, Xiaohai Tian +2
Voice conversion methods have advanced rapidly over the last decade. Studies have shown that speaker characteristics are captured by spectral feature as well as various prosodic fe…
A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution
Shaohua Li, Jun Zhu, Chunyan Miao
Most existing word embedding methods can be categorized into Neural Embedding Models and Matrix Factorization (MF)-based methods. However some models are opaque to probabilistic in…