360 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chinese Academy of SciencesCN12 papers
- University of Chinese Academy of SciencesCN6 papers
- Indiana UniversityUS3 papers
- Indiana University BloomingtonUS3 papers
- Northeastern UniversityUS3 papers
- Institute of Computing TechnologyCN2 papers
- University Medical Center UtrechtNL2 papers
- University of PennsylvaniaUS2 papers
- Advanced Materials and Devices (United States)US1 paper
- Beijing Forestry UniversityCN1 paper
- Centre Hospitalier Universitaire VaudoisCH1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
21 papers
Hierarchical Interdiffusion Kinetics in Nanoscale Ni/Al Multilayers
S. S. Riegler, I. Gallino, N. J. Peter +11
Reactive metallic multilayers store chemical energy that can be released rapidly through interdiffusion and intermetallic formation. Predictive control of this heat release require…
A Fuzzy-based Approach to Predict Human Interaction by Functional Near-Infrared Spectroscopy
Xiaowei Jiang, Liang Ou, Yanan Chen +4
The paper introduces a Fuzzy-based Attention (Fuzzy Attention Layer) mechanism, a novel computational approach to enhance the interpretability and efficacy of neural models in psyc…
Video-based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms
Xianye Ben, Yi Ren, Junping Zhang +4
Unlike the conventional facial expressions, micro-expressions are involuntary and transient facial expressions capable of revealing the genuine emotions that people attempt to hide…
Can AI detect pain and express pain empathy? A review from emotion recognition and a human-centered AI perspective
Siqi Cao, Di Fu, Xu Yang +3
Sensory and emotional experiences such as pain and empathy are essential for mental and physical health. Cognitive neuroscience has been working on revealing mechanisms underlying…
Towards Fully 8-bit Integer Inference for the Transformer Model
Ye Lin, Yanyang Li, Tengbo Liu +3
8-bit integer inference, as a promising direction in reducing both the latency and storage of deep neural networks, has made great progress recently. On the other hand, previous sy…
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation
Bei Li, Hui Liu, Ziyang Wang +5
In encoder-decoder neural models, multiple encoders are in general used to represent the contextual information in addition to the individual sentence. In this paper, we investigat…
Public discourse and sentiment during the COVID-19 pandemic: using Latent Dirichlet Allocation for topic modeling on Twitter
Jia Xue, Junxiang Chen, Chen Chen +3
The study aims to understand Twitter users' discourse and psychological reactions to COVID-19. We use machine learning techniques to analyze about 1.9 million Tweets (written in En…
Spotting Macro- and Micro-expression Intervals in Long Video Sequences
Ying He, Su-Jing Wang, Jingting Li +1
This paper presents baseline results for the Third Facial Micro-Expression Grand Challenge (MEGC 2020). Both macro- and micro-expression intervals in CAS(ME) and SAMM Long Vide…
Sharing Attention Weights for Fast Transformer
Tong Xiao, Yinqiao Li, Jingbo Zhu +2
Recently, the Transformer machine translation system has shown strong results by stacking attention layers on both the source and target-language sides. But the inference of this m…
Micro-Attention for Micro-Expression recognition
Chongyang Wang, Min Peng, Tao Bi +1
Micro-expression, for its high objectivity in emotion detection, has emerged to be a promising modality in affective computing. Recently, deep learning methods have been successful…
Decision structure of risky choice
Lamb Wubin, Naixin Ren
As we know, there is a controversy about the decision making under risk between economists and psychologists. We discuss to build a unified theory of risky choice, which would expl…
Recognizing Temporal Linguistic Expression Pattern of Individual with Suicide Risk on Social Media
Aiqi Zhang, Ang Li, Tingshao Zhu
Suicide is a global public health problem. Early detection of individual suicide risk plays a key role in suicide prevention. In this paper, we propose to look into individual suic…
Dynamic fluctuations coincide with periods of high and low modularity in resting-state functional brain networks
Richard F. Betzel, Makoto Fukushima, Ye He +2
We investigate the relationship of resting-state fMRI functional connectivity estimated over long periods of time with time-varying functional connectivity estimated over shorter t…
Fluctuations between high- and low-modularity topology in time-resolved functional connectivity
Makoto Fukushima, Richard F. Betzel, Ye He +4
Modularity is an important topological attribute for functional brain networks. Recent studies have reported that modularity of functional networks varies not only across individua…
Identifying Emotion from Natural Walking
Liqing Cui, Shun Li, Wan Zhang +2
Emotion identification from gait aims to automatically determine persons affective state, it has attracted a great deal of interests and offered immense potential value in action t…
Generative models of the human connectome
Richard F. Betzel, Andrea Avena-Koenigsberger, Joaquín Goñi +11
The human connectome represents a network map of the brain's wiring diagram and the pattern into which its connections are organized is thought to play an important role in cogniti…
Sensing Subjective Well-being from Social Media
Bibo Hao, Lin Li, Rui Gao +2
Subjective Well-being(SWB), which refers to how people experience the quality of their lives, is of great use to public policy-makers as well as economic, sociological research, et…
Cyber Behavior of Microblog Users: Onlies Versus Others
Dong Nie, Bibo Hao, Zheng Yan +1
Much research has been conducted to investigate personality and daily behavior of these only children ('Onlies') due to the Chinese one-child-per-family policy, and report the sing…
Fundamental elements of an affine Weyl group
Sian Nie
Fundamental elements are certain special elements of affine Weyl groups introduced by Gortz, Haines, Kottwitz and Reuman. They play an important role in the study of affine Delign…
Turing machines based on unsharp quantum logic
Yun Shang, Xian Lu, Ruqian Lu
In this paper, we consider Turing machines based on unsharp quantum logic. For a lattice-ordered quantum multiple-valued (MV) algebra E, we introduce E-valued non-deterministic Tur…
Risk, ambiguity and quantum decision theory
Riccardo Franco
In the present article we use the quantum formalism to describe the effects of risk and ambiguity in decision theory. The main idea is that the probabilities in the classic theory…