Search Results for author: Zijiang Yang

Found 15 papers, 5 papers with code

Dynamic Restrained Uncertainty Weighting Loss for Multitask Learning of Vocal Expression

no code implementations22 Jun 2022 Meishu Song, Zijiang Yang, Andreas Triantafyllopoulos, Xin Jing, Vincent Karas, Xie Jiangjian, Zixing Zhang, Yamamoto Yoshiharu, Bjoern W. Schuller

We propose a novel Dynamic Restrained Uncertainty Weighting Loss to experimentally handle the problem of balancing the contributions of multiple tasks on the ICML ExVo 2022 Challenge.

Exploring speaker enrolment for few-shot personalisation in emotional vocalisation prediction

1 code implementation14 Jun 2022 Andreas Triantafyllopoulos, Meishu Song, Zijiang Yang, Xin Jing, Björn W. Schuller

In this work, we explore a novel few-shot personalisation architecture for emotional vocalisation prediction.

Explanation-Guided Fairness Testing through Genetic Algorithm

1 code implementation16 May 2022 Ming Fan, Wenying Wei, Wuxia Jin, Zijiang Yang, Ting Liu

ExpGA employs the explanation results generated by interpretable methods to collect high-quality initial seeds, which are prone to derive discriminatory samples by slightly modifying feature values.


A Temporal-oriented Broadcast ResNet for COVID-19 Detection

no code implementations31 Mar 2022 Xin Jing, Shuo Liu, Emilia Parada-Cabaleiro, Andreas Triantafyllopoulos, Meishu Song, Zijiang Yang, Björn W. Schuller

Detecting COVID-19 from audio signals, such as breathing and coughing, can be used as a fast and efficient pre-testing method to reduce the virus transmission.

An Overview & Analysis of Sequence-to-Sequence Emotional Voice Conversion

no code implementations29 Mar 2022 Zijiang Yang, Xin Jing, Andreas Triantafyllopoulos, Meishu Song, Ilhan Aslan, Björn W. Schuller

Emotional voice conversion (EVC) focuses on converting a speech utterance from a source to a target emotion; it can thus be a key enabling technology for human-computer interaction applications and beyond.

Voice Conversion

Chase: A Large-Scale and Pragmatic Chinese Dataset for Cross-Database Context-Dependent Text-to-SQL

no code implementations ACL 2021 Jiaqi Guo, Ziliang Si, Yu Wang, Qian Liu, Ming Fan, Jian-Guang Lou, Zijiang Yang, Ting Liu

However, we identify two biases in existing datasets for XDTS: (1) a high proportion of context-independent questions and (2) a high proportion of easy SQL queries.


Theory and Applications of Financial Chaos Index

no code implementations5 Jan 2021 Masoud Ataei, Shengyuan Chen, Zijiang Yang, M. Reza Peyghami

We develop a new stock market index that captures the chaos existing in the market by measuring the mutual changes of asset prices.

GRCNN: Graph Recognition Convolutional Neural Network for Synthesizing Programs from Flow Charts

no code implementations11 Nov 2020 Lin Cheng, Zijiang Yang

Program synthesis is the task to automatically generate programs based on user specification.

Program Synthesis

An Early Study on Intelligent Analysis of Speech under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety

no code implementations30 Apr 2020 Jing Han, Kun Qian, Meishu Song, Zijiang Yang, Zhao Ren, Shuo Liu, Juan Liu, Huaiyuan Zheng, Wei Ji, Tomoya Koike, Xiao Li, Zixing Zhang, Yoshiharu Yamamoto, Björn W. Schuller

In particular, by analysing speech recordings from these patients, we construct audio-only-based models to automatically categorise the health state of patients from four aspects, including the severity of illness, sleep quality, fatigue, and anxiety.

Sleep Quality

Scalable Attack on Graph Data by Injecting Vicious Nodes

no code implementations22 Apr 2020 Jihong Wang, Minnan Luo, Fnu Suya, Jundong Li, Zijiang Yang, Qinghua Zheng

Recent studies have shown that graph convolution networks (GCNs) are vulnerable to carefully designed attacks, which aim to cause misclassification of a specific node on the graph with unnoticeable perturbations.

A real-time iterative machine learning approach for temperature profile prediction in additive manufacturing processes

no code implementations28 Jul 2019 Arindam Paul, Mojtaba Mozaffar, Zijiang Yang, Wei-keng Liao, Alok Choudhary, Jian Cao, Ankit Agrawal

As the process for creating an intricate part for an expensive metal such as Titanium is prohibitive with respect to cost, computational models are used to simulate the behavior of AM processes before the experimental run.

IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery

1 code implementation7 Jul 2019 Dipendra Jha, Logan Ward, Zijiang Yang, Christopher Wolverton, Ian Foster, Wei-keng Liao, Alok Choudhary, Ankit Agrawal

We use the problem of learning properties of inorganic materials from numerical attributes derived from material composition and/or crystal structure to compare IRNet's performance against that of other machine learning techniques.


1 code implementation26 Aug 2018 Xiaolin Li, Zijiang Yang, L. Catherine Brinson, Alok Choudhary, Ankit Agrawal, Wei Chen

Due to the special design of the network architecture, the proposed methodology is able to identify the latent (design) variables with desired dimensionality, as well as capturing complex material microstructural characteristics.

Dimensionality Reduction

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