1 code implementation • 17 Apr 2024 • Rachel, Chen, Juheon Lee, Chuang Gan, Zijiang Yang, Mohammad Amin Nabian, Jun Zeng
Metal Sintering is a necessary step for Metal Injection Molded parts and binder jet such as HP's metal 3D printer.
no code implementations • 7 Mar 2024 • Haojie Xin, Xiaodong Zhang, Renzhi Tang, Songyang Yan, Qianrui Zhao, Chunze Yang, Wen Cui, Zijiang Yang
Simulation is pivotal in evaluating the performance of autonomous driving systems due to the advantages of high efficiency and low cost compared to on-road testing.
no code implementations • 15 Dec 2023 • Guangxuan Song, Dongmei Fu, Zhongwei Qiu, Zijiang Yang, Jiaxin Dai, Lingwei Ma, Dawei Zhang
In this paper, we propose a numerical reasoning method for material KGs (NR-KG), which constructs a cross-modal KG using semantic nodes and numerical proxy nodes.
no code implementations • 18 Nov 2023 • Kunkun Hao, Lu Liu, Wen Cui, Jianxing Zhang, Songyang Yan, Yuxi Pan, Zijiang Yang
An optimized scenario generation toolkit is developed within BridgeGen.
no code implementations • 11 Oct 2023 • Changan Yang, Yaxing Chen, Yao Zhang, Helei Cui, Zhiwen Yu, Bin Guo, Zheng Yan, Zijiang Yang
Although federated learning (FL) is a promising tool to solve the problem, adapting conventional FL frameworks to VCI is nontrivial.
no code implementations • 24 Sep 2023 • Zijiang Yang, Zhongwei Qiu, Chang Xu, Dongmei Fu
3D style transfer aims to generate stylized views of 3D scenes with specified styles, which requires high-quality generating and keeping multi-view consistency.
no code implementations • 23 Jun 2023 • Yu Huang, Yue Chen, Zijiang Yang
Since DARPA started Grand Challenges in 2004 and Urban Challenges in 2007, autonomous driving has been the most active field of AI applications.
no code implementations • 6 Oct 2022 • Andreas Triantafyllopoulos, Björn W. Schuller, Gökçe İymen, Metin Sezgin, Xiangheng He, Zijiang Yang, Panagiotis Tzirakis, Shuo Liu, Silvan Mertes, Elisabeth André, Ruibo Fu, JianHua Tao
Speech is the fundamental mode of human communication, and its synthesis has long been a core priority in human-computer interaction research.
no code implementations • 22 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.
1 code implementation • 14 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.
1 code implementation • 16 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.
no code implementations • 31 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.
no code implementations • 29 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.
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.
1 code implementation • 26 Jan 2021 • Zijiang Yang, Dipendra Jha, Arindam Paul, Wei-keng Liao, Alok Choudhary, Ankit Agrawal
Microstructural materials design is one of the most important applications of inverse modeling in materials science.
no code implementations • 5 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.
no code implementations • 11 Nov 2020 • Lin Cheng, Zijiang Yang
Program synthesis is the task to automatically generate programs based on user specification.
no code implementations • 30 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.
1 code implementation • 22 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.
no code implementations • 28 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.
1 code implementation • 21 Jul 2019 • Xinlei Pan, Chaowei Xiao, Warren He, Shuang Yang, Jian Peng, MingJie Sun, JinFeng Yi, Zijiang Yang, Mingyan Liu, Bo Li, Dawn Song
To the best of our knowledge, we are the first to apply adversarial attacks on DRL systems to physical robots.
2 code implementations • 7 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 implementation • 26 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.