114 citations · 255 across the 12 of their papers we have counts for
13 papers
Jina Embeddings: A Novel Set of High-Performance Sentence Embedding Models
Michael Günther, Louis Milliken, Jonathan Geuter +3
Jina Embeddings constitutes a set of high-performance sentence embedding models adept at translating textual inputs into numerical representations, capturing the semantics of the t…
A Knowledge-Driven Meta-Learning Method for CSI Feedback
Han Xiao, Wenqiang Tian, Wendong Liu +4
Accurate and effective channel state information (CSI) feedback is a key technology for massive multiple-input and multiple-output (MIMO) systems. Recently, deep learning (DL) has…
AI Enlightens Wireless Communication: A Transformer Backbone for CSI Feedback
Han Xiao, Zhiqin Wang, Dexin Li +7
This paper is based on the background of the 2nd Wireless Communication Artificial Intelligence (AI) Competition (WAIC) which is hosted by IMT-2020(5G) Promotion Group 5G+AIWork Gr…
On the Population Monotonicity of Independent Set Games
Libing Wang, Han Xiao, Donglei Du +1
An independent set game is a cooperative game defined on graphs and dealing with profit-sharing in maximum independent set problems. A population monotonic allocation scheme is a r…
Variation between Antiferromagnetism and Ferrimagnetism in NiPS3 by Electron Doping
Mengjuan Mi, Xingwen Zheng, Shilei Wang +11
How to electrically control magnetic properties of a magnetic material is promising towards spintronic applications, where the investigation of carrier doping effects on antiferrom…
Generalized Autoregressive Moving Average Models with GARCH Errors
Tingguo Zheng, Han Xiao, Rong Chen
One of the important and widely used classes of models for non-Gaussian time series is the generalized autoregressive model average models (GARMA), which specifies an ARMA structur…
SAR: Semantic Analysis for Recommendation
Han Xiao, Lian Meng
Recommendation system is a common demand in daily life and matrix completion is a widely adopted technique for this task. However, most matrix completion methods lack semantic inte…
KSR: A Semantic Representation of Knowledge Graph within a Novel Unsupervised Paradigm
Han Xiao, Minlie Huang, Xiaoyan Zhu
Knowledge representation is a long-history topic in AI, which is very important. A variety of models have been proposed for knowledge graph embedding, which projects symbolic entit…
From One Point to A Manifold: Knowledge Graph Embedding For Precise Link Prediction
Han Xiao, Minlie Huang, Xiaoyan Zhu
Knowledge graph embedding aims at offering a numerical knowledge representation paradigm by transforming the entities and relations into continuous vector space. However, existing…
TransA: An Adaptive Approach for Knowledge Graph Embedding
Han Xiao, Minlie Huang, Yu Hao +1
Knowledge representation is a major topic in AI, and many studies attempt to represent entities and relations of knowledge base in a continuous vector space. Among these attempts,…
TransG : A Generative Mixture Model for Knowledge Graph Embedding
Han Xiao, Minlie Huang, Yu Hao +1
Recently, knowledge graph embedding, which projects symbolic entities and relations into continuous vector space, has become a new, hot topic in artificial intelligence. This paper…
Margin-Based Feed-Forward Neural Network Classifiers
Han Xiao, Xiaoyan Zhu
Margin-Based Principle has been proposed for a long time, it has been proved that this principle could reduce the structural risk and improve the performance in both theoretical an…
Max-Entropy Feed-Forward Clustering Neural Network
Han Xiao, Xiaoyan Zhu
The outputs of non-linear feed-forward neural network are positive, which could be treated as probability when they are normalized to one. If we take Entropy-Based Principle into c…