185 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Electronic Science and Technology of ChinaCN23 papers
- Sichuan UniversityCN18 papers
- University of Hong KongHK11 papers
- London School of Economics and Political ScienceGB9 papers
- Southwest Jiaotong UniversityCN9 papers
- University of GroningenNL8 papers
- Hong Kong Polytechnic UniversityHK6 papers
- The University of MelbourneAU6 papers
- University of PittsburghUS6 papers
- Chengdu UniversityCN5 papers
- Chinese Academy of SciencesCN5 papers
- Hong Kong University of Science and TechnologyHK5 papers
22 papers · 1 filter
ScaleVLAD: Improving Multimodal Sentiment Analysis via Multi-Scale Fusion of Locally Descriptors
Huaishao Luo, Lei Ji, Yanyong Huang +3
Fusion technique is a key research topic in multimodal sentiment analysis. The recent attention-based fusion demonstrates advances over simple operation-based fusion. However, thes…
Modelling matrix time series via a tensor CP-decomposition
Jinyuan Chang, Jing He, Lin Yang +1
We consider to model matrix time series based on a tensor CP-decomposition. Instead of using an iterative algorithm which is the standard practice for estimating CP-decompositions,…
Edge differentially private estimation in the -model via jittering and method of moments
Jinyuan Chang, Qiao Hu, Eric D. Kolaczyk +2
A standing challenge in data privacy is the trade-off between the level of privacy and the efficiency of statistical inference. Here we conduct an in-depth study of this trade-off…
Towards the ultimate PMT waveform analysis for neutrino and dark matter experiments
Dacheng Xu, Benda Xu, Erjin Bao +11
Photomultiplier tube (PMT) voltage waveforms are the raw data of many neutrino and dark matter experiments. Waveform analysis is the cornerstone of data processing. We evaluate the…
Asymmetric Graph Representation Learning
Zhuo Tan, Bin Liu, Guosheng Yin
Despite the enormous success of graph neural networks (GNNs), most existing GNNs can only be applicable to undirected graphs where relationships among connected nodes are two-way s…
The springback penalty for robust signal recovery
Congpei An, Hao-Ning Wu, Xiaoming Yuan
We propose a new penalty, the springback penalty, for constructing models to recover an unknown signal from incomplete and inaccurate measurements. Mathematically, the springback p…
On the bilateral preconditioning for an L2-type all-at-once system arising from time-space fractional Bloch-Torrey equations
Yong-Liang Zhao, Xian-Ming Gu, Hu Li
Time-space fractional Bloch-Torrey equations (TSFBTEs) are developed by some researchers to investigate the relationship between diffusion and fractional-order dynamics. In this pa…
Culling the herd of moments with penalized empirical likelihood
Jinyuan Chang, Zhentao Shi, Jia Zhang
Models defined by moment conditions are at the center of structural econometric estimation, but economic theory is mostly agnostic about moment selection. While a large pool of val…
Evaluating Effectiveness of Public Health Intervention Strategies for Mitigating COVID-19 Pandemic
Shanghong Xie, Wenbo Wang, Qinxia Wang +2
Coronavirus disease 2019 (COVID-19) pandemic is an unprecedented global public health challenge. In the United States (US), state governments have implemented various non-pharmaceu…
Weak solutions to the stationary Cahn-Hillard/Navier-Stokes equations for compressible fluids
Zhilei Liang, Dehua Wang
We are concerned with the Cahn-Hilliard/Navier-Stokes equations for the stationary compressible flows in a three-dimensional bounded domain. The governing equations consist of the…
Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery
Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang +3
In this paper, we study multi-dimensional image recovery. Recently, transform-based tensor nuclear norm minimization methods are considered to capture low-rank tensor structures to…
An optimized Capsule-LSTM model for facial expression recognition with video sequences
Siwei Liu, Yuanpeng Long, Gao Xu +4
To overcome the limitations of convolutional neural network in the process of facial expression recognition, a facial expression recognition model Capsule-LSTM based on video frame…
BPLF: A Bi-Parallel Linear Flow Model for Facial Expression Generation from Emotion Set Images
Gao Xu, Yuanpeng Long, Siwei Liu +4
The flow-based generative model is a deep learning generative model, which obtains the ability to generate data by explicitly learning the data distribution. Theoretically its abil…
The x-index: A new citation-distance-based index to measure academic influence
Yun Wan, Feng Xiao, Lu Li +1
An important issue in the field of academic measurement is how to evaluate academic influence scientifically and comprehensively, which can help government and research organizatio…
Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active Learning
Zhi Chen, Jiang Duan, Li Kang +1
Anomaly detection has wide applications in machine intelligence but is still a difficult unsolved problem. Major challenges include the rarity of labeled anomalies and it is a clas…
Quantitative ergodic theorems for actions of groups of polynomial growth
Guixiang Hong, Wei Liu
We strengthen the maximal ergodic theorem for actions of groups of polynomial growth to a form involving jump quantity, which is the sharpest result among the family of variational…
A Linear-quadratic Mean-Field Stochastic Stackelberg Differential Game with Random Exit Time
Zhun Gou, Nan-jing Huang, Ming-hui Wang
In this paper, we investigate a new model of a linear-quadratic mean-field stochastic Stackelberg differential game with one leader and two followers, in which the leader is allowe…
Central limit theorems for high dimensional dependent data
Jinyuan Chang, Xiaohui Chen, Mingcong Wu
Motivated by statistical inference problems in high-dimensional time series data analysis, we first derive non-asymptotic error bounds for Gaussian approximations of sums of high-d…
A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources
Xiaoqing Tan, Chung-Chou H. Chang, Ling Zhou +1
Accurately estimating personalized treatment effects within a study site (e.g., a hospital) has been challenging due to limited sample size. Furthermore, privacy considerations and…
A Generalized Mountain Pass Lemma with a Closed Subset for Locally Lipschitz Functionals
Fengying Li, Bingying Li, Shiqing Zhang
The classical Mountain Pass Lemma of Ambrosetti-Rabinowitz has been studied, extended and modified in several directions. Notable examples would certainly include the generalizatio…
MöbiusE: Knowledge Graph Embedding on Möbius Ring
Yao Chen, Jiangang Liu, Zhe Zhang +2
In this work, we propose a novel Knowledge Graph Embedding (KGE) strategy, called MöbiusE, in which the entities and relations are embedded to the surface of a Möbius ring. The pro…
Graphmax for Text Generation
Liu Bin, Yin Guosheng
In text generation, a large language model (LM) makes a choice of each new word based only on the former selection of its context using the softmax function. Nevertheless, the link…