252 citations · 522 across the 24 of their papers we have counts for
24 papers
Probabilistic Differentiable Filters Enable Ubiquitous Robot Control with Smartwatches
Fabian C Weigend, Xiao Liu, Heni Ben Amor
Ubiquitous robot control and human-robot collaboration using smart devices poses a challenging problem primarily due to strict accuracy requirements and sparse information. This pa…
A high-precision result for a full-color three-loop three-point form factor in SYM
Xin Guan, Guanda Lin, Xiao Liu +2
We perform a high-precision computation of the three-loop three-point form factor of the stress-tensor supermultiplet in SYM. Both the leading-color and non-leading-co…
Enhancing State Estimation in Robots: A Data-Driven Approach with Differentiable Ensemble Kalman Filters
Xiao Liu, Geoffrey Clark, Joseph Campbell +2
This paper introduces a novel state estimation framework for robots using differentiable ensemble Kalman filters (DEnKF). DEnKF is a reformulation of the traditional ensemble Kalma…
Learning Soft Robot Dynamics using Differentiable Kalman Filters and Spatio-Temporal Embeddings
Xiao Liu, Shuhei Ikemoto, Yuhei Yoshimitsu +1
This paper introduces a novel approach for modeling the dynamics of soft robots, utilizing a differentiable filter architecture. The proposed approach enables end-to-end training t…
Towards Robust Aspect-based Sentiment Analysis through Non-counterfactual Augmentations
Xinyu Liu, Yan Ding, Kaikai An +4
While state-of-the-art NLP models have demonstrated excellent performance for aspect based sentiment analysis (ABSA), substantial evidence has been presented on their lack of robus…
Defect Classification in Additive Manufacturing Using CNN-Based Vision Processing
Xiao Liu, Alessandra Mileo, Alan F. Smeaton
The development of computer vision and in-situ monitoring using visual sensors allows the collection of large datasets from the additive manufacturing (AM) process. Such datasets c…
Style-transfer based Speech and Audio-visual Scene Understanding for Robot Action Sequence Acquisition from Videos
Chiori Hori, Puyuan Peng, David Harwath +7
To realize human-robot collaboration, robots need to execute actions for new tasks according to human instructions given finite prior knowledge. Human experts can share their knowl…
A photo-mechanical coupling theory for photoisomerization hydrogel considering the distribution state of molecular chains
Xinyu Liu, Qingsheng Yang, Wei Rao
Owing to the possibility of controlling its specific mechanical behaviors up taken by irradiated by light at particular wavelengths, the photoisomerization hydrogels have a broad r…
An adaptive human-in-the-loop approach to emission detection of Additive Manufacturing processes and active learning with computer vision
Xiao Liu, Alan F. Smeaton, Alessandra Mileo
Recent developments in in-situ monitoring and process control in Additive Manufacturing (AM), also known as 3D-printing, allows the collection of large amounts of emission data dur…
Artificial Intelligence Security Competition (AISC)
Yinpeng Dong, Peng Chen, Senyou Deng +49
The security of artificial intelligence (AI) is an important research area towards safe, reliable, and trustworthy AI systems. To accelerate the research on AI security, the Artifi…
Learning to See the Elephant in the Room: Self-Supervised Context Reasoning in Humans and AI
Xiao Liu, Soumick Sarker, Ankur Sikarwar +4
Humans rarely perceive objects in isolation but interpret scenes through relationships among co-occurring elements. How such contextual knowledge is acquired without explicit super…
End-to-end joint optimization of metasurface and image processing for compact snapshot hyperspectral imaging
Qiangbo Zhang, Zeqing Yu, Xinyu Liu +2
Traditional snapshot hyperspectral imaging systems generally require multiple refractive-optics-based elements to modulate light, resulting in bulky framework. In pursuit of a more…
Complete two-loop electroweak corrections to
Xiang Chen, Xin Guan, Chuan-Qi He +3
We compute the complete two-loop electroweak corrections to the Higgsstralung process at the future Higgs factory. The Feynman integrals involved in the comp…
Heavy-quark pair production at lepton colliders at NNNLO in QCD
Xiang Chen, Xin Guan, Chuan-Qi He +2
We compute the total cross-section and invariant mass distribution for heavy-quark pair production in annihilation at the next-to-next-to-next-to-leading order in QCD. The…
Regression Trees on Grassmann Manifold for Adapting Reduced-Order Models
Xiao Liu, Xinchao Liu
Low dimensional and computationally less expensive Reduced-Order Models (ROMs) have been widely used to capture the dominant behaviors of high-dimensional systems. A ROM can be obt…
AMFlow: a Mathematica package for Feynman integrals computation via Auxiliary Mass Flow
Xiao Liu, Yan-Qing Ma
AMFlow is a Mathematica package to numerically compute dimensionally regularized Feynman integrals via the recently proposed auxiliary mass flow method. In this framework, integral…
A Novel Strategy for GaN-on-Diamond Device with a High Thermal Boundary Conductance
Fengwen Mu, Bin Xu, Xinhua Wang +11
To achieve high device performance and high reliability for the gallium nitride (GaN)-based high electron mobility transistors (HEMTs), efficient heat dissipation is important but…
Machine Learning Empowered Resource Allocation in IRS Aided MISO-NOMA Networks
X. Gao, Y. Liu, X. Liu +1
A novel framework of intelligent reflecting surface (IRS)-aided multiple-input single-output (MISO) non-orthogonal multiple access (NOMA) network is proposed, where a base station…
Unbox the Blackbox: Predict and Interpret YouTube Viewership Using Deep Learning
Jiaheng Xie, Xiao Liu
Predicting video viewership is a top priority for content creators and video-sharing sites. Content creators live on such predictions to maximize influences and minimize budgets. V…
Artificial Intelligence Aided Next-Generation Networks Relying on UAVs
Xiao Liu, Mingzhe Chen, Yuanwei Liu +3
Artificial intelligence (AI) assisted unmanned aerial vehicle (UAV) aided next-generation networking is proposed for dynamic environments. In the AI-enabled UAV-aided wireless netw…
RIS Enhanced Massive Non-orthogonal Multiple Access Networks: Deployment and Passive Beamforming Design
Xiao Liu, Yuanwei Liu, Yue Chen +1
A novel framework is proposed for the deployment and passive beamforming design of a reconfigurable intelligent surface (RIS) with the aid of non-orthogonal multiple access (NOMA)…
Complete reduction of integrals in two-loop five-light-parton scattering amplitudes
Xin Guan, Xiao Liu, Yan-Qing Ma
We reduce all the most complicated Feynman integrals in two-loop five-light-parton scattering amplitudes to basic master integrals, while other integrals can be reduced even easier…
Dynamic Instance Normalization for Arbitrary Style Transfer
Yongcheng Jing, Xiao Liu, Yukang Ding +4
Prior normalization methods rely on affine transformations to produce arbitrary image style transfers, of which the parameters are computed in a pre-defined way. Such manually-defi…
Deep least-squares methods: an unsupervised learning-based numerical method for solving elliptic PDEs
Zhiqiang Cai, Jingshuang Chen, Min Liu +1
This paper studies an unsupervised deep learning-based numerical approach for solving partial differential equations (PDEs). The approach makes use of the deep neural network to ap…