141 citations · 573 across the 21 of their papers we have counts for
21 papers
EasyTPP: Towards Open Benchmarking Temporal Point Processes
Siqiao Xue, Xiaoming Shi, Zhixuan Chu +9
Continuous-time event sequences play a vital role in real-world domains such as healthcare, finance, online shopping, social networks, and so on. To model such data, temporal point…
Directional diffusion models for graph representation learning
Run Yang, Yuling Yang, Fan Zhou +1
In recent years, diffusion models have achieved remarkable success in various domains of artificial intelligence, such as image synthesis, super-resolution, and 3D molecule generat…
Multi-modal Representation Learning for Social Post Location Inference
Ruiting Dai, Jiayi Luo, Xucheng Luo +3
Inferring geographic locations via social posts is essential for many practical location-based applications such as product marketing, point-of-interest recommendation, and infecto…
Predicting Human Mobility via Self-supervised Disentanglement Learning
Qiang Gao, Jinyu Hong, Xovee Xu +3
Deep neural networks have recently achieved considerable improvements in learning human behavioral patterns and individual preferences from massive spatial-temporal trajectories da…
Incorporating Interactive Facts for Stock Selection via Neural Recursive ODEs
Qiang Gao, Xinzhu Zhou, Kunpeng Zhang +3
Stock selection attempts to rank a list of stocks for optimizing investment decision making, aiming at minimizing investment risks while maximizing profit returns. Recently, resear…
A disorder-sensitive emergent vortex phase identified in high-Tc superconductor (Li,Fe)OHFeSe
Dong Li, Peipei Shen, Jinpeng Tian +14
The magneto-transport properties are systematically measured under c-direction fields up to 33 T for a series of single-crystal films of intercalated iron-selenide superconductor (…
Automatic Registration of Images with Inconsistent Content Through Line-Support Region Segmentation and Geometrical Outlier Removal
Ming Zhao, Yongpeng Wu, Shengda Pan +3
The implementation of automatic image registration is still difficult in various applications. In this paper, an automatic image registration approach through line-support region s…
Cu doping effects on the electronic structure of Fe1-xCuxSe
Soonsang Huh, Zouyouwei Lu, Youn Sik Kim +8
Using angle-resolved photoemission spectroscopy (ARPES), we studied the evolution of the electronic structure of Fe1-xCuxSe from x = 0 to 0.10. We found that the Cu dopant introduc…
Evidence of a hidden flux phase in the topological kagome metal CsVSb
Li Yu, Chennan Wang, Yuhang Zhang +17
Phase transitions governed by spontaneous time reversal symmetry breaking (TRSB) have long been sought in many quantum systems, including materials with anomalous Hall effect (AHE)…
Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning
Fan Zhou, Zhoufan Zhu, Qi Kuang +1
Although distributional reinforcement learning (DRL) has been widely examined in the past few years, there are two open questions people are still trying to address. One is how to…
Anisotropic superconducting properties of Kagome metal CsV3Sb5
Shunli Ni, Sheng Ma, Yuhang Zhang +18
We systematically measure the superconducting (SC) and mixed state properties of high-quality CsV3Sb5 single crystals with Tc ~ 3.5 K. We find that the upper critical field Hc2(T)…
Metric learning by Similarity Network for Deep Semi-Supervised Learning
Sanyou Wu, Xingdong Feng, Fan Zhou
Deep semi-supervised learning has been widely implemented in the real-world due to the rapid development of deep learning. Recently, attention has shifted to the approaches such as…
Relational State-Space Model for Stochastic Multi-Object Systems
Fan Yang, Ling Chen, Fan Zhou +2
Real-world dynamical systems often consist of multiple stochastic subsystems that interact with each other. Modeling and forecasting the behavior of such dynamics are generally not…
Ultrafast Quasiparticle Dynamics and Electron-Phonon Coupling in (Li0.84Fe0.16)OHFe0.98Se
Q. Wu, H. X. Zhou, Y. L. Wu +8
Distinctive superconducting behaviors between bulk and monolayer FeSe make it challenging to obtain a unified picture of all FeSe-based superconductors. We investigate the ultrafas…
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning
Fan Zhou, Chengtai Cao, Kunpeng Zhang +3
Meta-learning has received a tremendous recent attention as a possible approach for mimicking human intelligence, i.e., acquiring new knowledge and skills with little or even no de…
A Distributed Hierarchical SGD Algorithm with Sparse Global Reduction
Fan Zhou, Guojing Cong
Reducing communication in training large-scale machine learning applications on distributed platform is still a big challenge. To address this issue, we propose a distributed hiera…
ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks
Kunal Sankhe, Mauro Belgiovine, Fan Zhou +3
This paper describes the architecture and performance of ORACLE, an approach for detecting a unique radio from a large pool of bit-similar devices (same hardware, protocol, physica…
Implicit Dual-domain Convolutional Network for Robust Color Image Compression Artifact Reduction
Bolun Zheng, Yaowu Chen, Xiang Tian +2
Several dual-domain convolutional neural network-based methods show outstanding performance in reducing image compression artifacts. However, they suffer from handling color images…
Nonparametric Estimation of Low Rank Matrix Valued Function
Fan Zhou
Let (the space of Hermitian matrices) be a matrix valued function which is low rank with entries in Hölder class . The goal of this paper i…
On the convergence properties of a -step averaging stochastic gradient descent algorithm for nonconvex optimization
Fan Zhou, Guojing Cong
Despite their popularity, the practical performance of asynchronous stochastic gradient descent methods (ASGD) for solving large scale machine learning problems are not as good as…
The Sup-norm Perturbation of HOSVD and Low Rank Tensor Denoising
Dong Xia, Fan Zhou
The higher order singular value decomposition (HOSVD) of tensors is a generalization of matrix SVD. The perturbation analysis of HOSVD under random noise is more delicate than its…