272 citations · 678 across the 19 of their papers we have counts for
18 papers
Superconductivity of cerium under pressures up to 54GPa
Yanan Zhang, Dajun Su, Zhaoyang Shan +5
Cerium is a fascinating element due to its diverse physical properties, which include forming various crystal structures (, , , and ), mixed valence behavi…
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification
Xingcheng Fu, Yuecen Wei, Qingyun Sun +4
Learning unbiased node representations for imbalanced samples in the graph has become a more remarkable and important topic. For the graph, a significant challenge is that the topo…
Nodeless superconductivity in noncentrosymmetric LaRhSn
Z. Y. Nie, J. W. Shu, A. Wang +8
The superconducting order parameter of the noncentrosymmetric superconductor LaRhSn is investigated by means of low temperature measurements of the specific heat, muon-spin relaxat…
A Simple Temporal Information Matching Mechanism for Entity Alignment Between Temporal Knowledge Graphs
Li Cai, Xin Mao, Meirong Ma +3
Entity alignment (EA) aims to find entities in different knowledge graphs (KGs) that refer to the same object in the real world. Recent studies incorporate temporal information to…
Semimetallic Kondo lattice behavior in YbPdAs with a distorted kagome structure
W. Xie, F. Du, X. Y. Zheng +9
We have synthesized YbPdAs with the hexagonal ZrNiAl-type structure, in which the Yb-atoms form a distorted kagome sublattice in the hexagonal basal plane. Magnetic, transport, and…
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing
Qingyun Sun, Jianxin Li, Haonan Yuan +5
Topology-imbalance is a graph-specific imbalance problem caused by the uneven topology positions of labeled nodes, which significantly damages the performance of GNNs. What topolog…
Evidence of fully-gapped superconductivity in NbReSi: A combined SR and NMR study
T. Shang, D. Tay, H. Su +2
We report a comprehensive study of the noncentrosymmetric NbReSi superconductor by means of muon-spin rotation and relaxation (SR) and nuclear magnetic resonance (NMR) technique…
Engineering superconducting qubits to reduce quasiparticles and charge noise
Xianchuang Pan, Yuxuan Zhou, Haolan Yuan +10
Identifying, quantifying, and suppressing decoherence mechanisms in qubits are important steps towards the goal of engineering a quantum computer or simulator. Superconducting circ…
Spectrum of Single-Photon Scattering in a Strong-Coupling Hybrid Optomechanical System
S. Y. Yang, W. Z. Jia, H. Yuan
We analyze theoretically the single-photon excitation and transmission spectra of a strong-coupling hybrid optomechanics, where a two-level system (TLS) is coupled to the mechanica…
NbReSi: A Noncentrosymetric Superconductor with Large Upper Critical Field
H. Su, T. Shang, F. Du +6
We report the discovery of superconductivity in noncentrosymmetric NbReSi, which crystallizes in a hexagonal ZrNiAl-type crystal structure with space group (No.~189).…
A Dual-Attention Neural Network for Pun Location and Using Pun-Gloss Pairs for Interpretation
Shen Liu, Meirong Ma, Hao Yuan +3
Pun location is to identify the punning word (usually a word or a phrase that makes the text ambiguous) in a given short text, and pun interpretation is to find out two different m…
BESS Aided Reconfigurable Energy Supply using Deep Reinforcement Learning for 5G and Beyond
Hao Yuan, Guoming Tang, Deke Guo +4
The year of 2020 has witnessed the unprecedented development of 5G networks, along with the widespread deployment of 5G base stations (BSs). Nevertheless, the enormous energy consu…
Fully gapped superconductivity with preserved time reversal symmetry in noncentrosymmetric LaPdIn
H. Su, Z. Y. Nie, F. Du +9
We report an investigation of the superconducting properties of the hexagonal noncentrosymmetric compound LaPdIn. Electrical resistivity, specific heat and ac susceptibility measur…
DIG: A Turnkey Library for Diving into Graph Deep Learning Research
Meng Liu, Youzhi Luo, Limei Wang +13
Although there exist several libraries for deep learning on graphs, they are aiming at implementing basic operations for graph deep learning. In the research community, implementin…
Deep Learning of High-Order Interactions for Protein Interface Prediction
Yi Liu, Hao Yuan, Lei Cai +1
Protein interactions are important in a broad range of biological processes. Traditionally, computational methods have been developed to automatically predict protein interface fro…
XGNN: Towards Model-Level Explanations of Graph Neural Networks
Hao Yuan, Jiliang Tang, Xia Hu +1
Graphs neural networks (GNNs) learn node features by aggregating and combining neighbor information, which have achieved promising performance on many graph tasks. However, GNNs ar…
Large-scale Hybrid Approach for Predicting User Satisfaction with Conversational Agents
Dookun Park, Hao Yuan, Dongmin Kim +10
Measuring user satisfaction level is a challenging task, and a critical component in developing large-scale conversational agent systems serving the needs of real users. An widely…
Three-party qutrit-state sharing
Zhang-yin Wang, Zhan-jun Zhang
A three-party scheme for securely sharing an arbitrary unknown single-qutrit state is presented. Using a general Greenberger-Horne-Zeilinger (GHZ) state as the quantum channel amon…