111 citations · 305 across the 32 of their papers we have counts for
32 papers
TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation
Shuo Lei, Xuchao Zhang, Jianfeng He +2
Meta-learning has emerged as a trending technique to tackle few-shot text classification and achieve state-of-the-art performance. However, the performance of existing approaches h…
Low-Light Image and Video Enhancement: A Comprehensive Survey and Beyond
Shen Zheng, Yiling Ma, Jinqian Pan +2
This paper presents a comprehensive survey of low-light image and video enhancement, addressing two primary challenges in the field. The first challenge is the prevalence of mixed…
A Survey on Causal Representation Learning and Future Work for Medical Image Analysis
Changjie Lu
Statistical machine learning algorithms have achieved state-of-the-art results on benchmark datasets, outperforming humans in many tasks. However, the out-of-distribution data and…
LANS: Large-scale Arabic News Summarization Corpus
Abdulaziz Alhamadani, Xuchao Zhang, Jianfeng He +1
Text summarization has been intensively studied in many languages, and some languages have reached advanced stages. Yet, Arabic Text Summarization (ATS) is still in its developing…
Memetic algorithms for Spatial Partitioning problems
Subhodip Biswas, Fanglan Chen, Zhiqian Chen +2
Spatial optimization problems (SOPs) are characterized by spatial relationships governing the decision variables, objectives, and/or constraint functions. In this article, we focus…
PointNorm: Dual Normalization is All You Need for Point Cloud Analysis
Shen Zheng, Jinqian Pan, Changjie Lu +1
Point cloud analysis is challenging due to the irregularity of the point cloud data structure. Existing works typically employ the ad-hoc sampling-grouping operation of PointNet++,…
Sampling-based techniques for designing school boundaries
Subhodip Biswas, Fanglan Chen, Zhiqian Chen +2
Recently, an increasing number of researchers, especially in the realm of political redistricting, have proposed sampling-based techniques to generate a subset of plans from the va…
Contrastive Graph Multimodal Model for Text Classification in Videos
Ye Liu, Changchong Lu, Chen Lin +2
The extraction of text information in videos serves as a critical step towards semantic understanding of videos. It usually involved in two steps: (1) text recognition and (2) text…
Functional Optimization Reinforcement Learning for Real-Time Bidding
Yining Lu, Changjie Lu, Naina Bandyopadhyay +2
Real-time bidding is the new paradigm of programmatic advertising. An advertiser wants to make the intelligent choice of utilizing a \textbf{Demand-Side Platform} to improve the pe…
AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE
Changjie Lu, Shen Zheng, Zirui Wang +2
Recently, introspective models like IntroVAE and S-IntroVAE have excelled in image generation and reconstruction tasks. The principal characteristic of introspective models is the…
Unsupervised Domain Adaptation for Cardiac Segmentation: Towards Structure Mutual Information Maximization
Changjie Lu, Shen Zheng, Gaurav Gupta
Unsupervised domain adaptation approaches have recently succeeded in various medical image segmentation tasks. The reported works often tackle the domain shift problem by aligning…
Asian Giant Hornet Control based on Image Processing and Biological Dispersal
Changjie Lu, Shen Zheng, Hailu Qiu
The Asian giant hornet (AGH) appeared in Washington State appears to have a potential danger of bioinvasion. Washington State has collected public photos and videos of detected ins…
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information
Padmaksha Roy, Shailik Sarkar, Subhodip Biswas +4
Modeling the spatiotemporal nature of the spread of infectious diseases can provide useful intuition in understanding the time-varying aspect of the disease spread and the underlyi…
Semantic Editing On Segmentation Map Via Multi-Expansion Loss
Jianfeng He, Xuchao Zhang, Shuo Lei +4
Semantic editing on segmentation map has been proposed as an intermediate interface for image generation, because it provides flexible and strong assistance in various image genera…
Reimagining City Configuration: Automated Urban Planning via Adversarial Learning
Dongjie Wang, Yanjie Fu, Pengyang Wang +2
Urban planning refers to the efforts of designing land-use configurations. Effective urban planning can help to mitigate the operational and social vulnerability of a urban system,…
Few-Shot Semantic Segmentation Augmented with Image-Level Weak Annotations
Shuo Lei, Xuchao Zhang, Jianfeng He +2
Despite the great progress made by deep neural networks in the semantic segmentation task, traditional neural-networkbased methods typically suffer from a shortage of large amounts…
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks
Zhiqian Chen, Fanglan Chen, Lei Zhang +7
Deep learning's success has been widely recognized in a variety of machine learning tasks, including image classification, audio recognition, and natural language processing. As an…
TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction
Kaiqun Fu, Taoran Ji, Liang Zhao +1
Critical incident stages identification and reasonable prediction of traffic incident duration are essential in traffic incident management. In this paper, we propose a traffic inc…
Mitigating Uncertainty in Document Classification
Xuchao Zhang, Fanglan Chen, Chang-Tien Lu +1
The uncertainty measurement of classifiers' predictions is especially important in applications such as medical diagnoses that need to ensure limited human resources can focus on t…
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks
Taoran Ji, Zhiqian Chen, Nathan Self +3
Modeling and forecasting forward citations to a patent is a central task for the discovery of emerging technologies and for measuring the pulse of inventive progress. Conventional…
Robust Regression via Online Feature Selection under Adversarial Data Corruption
Xuchao Zhang, Shuo Lei, Liang Zhao +2
The presence of data corruption in user-generated streaming data, such as social media, motivates a new fundamental problem that learns reliable regression coefficient when feature…
Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning
Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad +4
Circuit obfuscation is a recently proposed defense mechanism to protect digital integrated circuits (ICs) from reverse engineering by using camouflaged gates i.e., logic gates whos…
Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator
Zhiqian Chen, Feng Chen, Rongjie Lai +2
For node level graph encoding, a recent important state-of-art method is the graph convolutional networks (GCN), which nicely integrate local vertex features and graph topology in…
Water Disaggregation via Shape Features based Bayesian Discriminative Sparse Coding
Bingsheng Wang, Xuchao Zhang, Chang-Tien Lu +1
As the issue of freshwater shortage is increasing daily, it is critical to take effective measures for water conservation. According to previous studies, device level consumption c…