Publications (36)
The MUIR Framework: Cross-Linking MOOC Resources to Enhance Discussion Forums
Ya-Hui An, Muthu Kumar Chandresekaran, Min-Yen Kan +1
New learning resources are created and minted in Massive Open Online Courses every week -- new videos, quizzes, assessments and discussion threads are deployed and interacted with…
The Randomized BH Procedure: A Generalized Framework Encompassing Conformal and Competition Tests
Mingzhou Deng, Yan Fu
We propose the Randomized BH procedure, a generalized framework that introduces randomization into the Benjamini-Hochberg (BH) procedure for false discovery rate (FDR) control. We…
Multi-Knowledge-oriented Nighttime Haze Imaging Enhancer for Vision-driven Intelligent Systems
Ai Chen, Yuxu Lu, Dong Yang +3
Salient object detection (SOD) plays a critical role in Intelligent Imaging, facilitating the detection and segmentation of key visual elements in an image. However, adverse imagin…
Efficient allocation of heterogeneous response times in information spreading process
Ai-Xiang Cui, Wei Wang, Ming Tang +3
Recently, the impacts of spatiotemporal heterogeneities of human activities on spreading dynamics have attracted extensive attention. In this paper, to study heterogeneous response…
Scaling behavior of online human activity
Zhi-Dan Zhao, Shi-Min Cai, Junming Huang +2
The rapid development of Internet technology enables human explore the web and record the traces of online activities. From the analysis of these large-scale data sets (i.e. traces…
A rational cohomology which including that of a spin hyperelliptic mapping class group
Yan Fu, Gefei Wang
Let be the -extension of the product of two symmetric groups $\mathfrak{S}_{q} \times \math…
Slow dynamics of Zero Range Process in the Framework of Traps Model
Kai Qi, Ming Tang, Aixiang Cui +1
The relaxation dynamics of zero range process (ZRP) has always been an interesting problem. In this study, we set up the relationship between ZRP and traps model, and investigate t…
Hamiltonian Connectivity of Twisted Hypercube-Like Networks under the Large Fault Model
Qiang Dong, Hui Gao, Yan Fu +1
Twisted hypercube-like networks (THLNs) are an important class of interconnection networks for parallel computing systems, which include most popular variants of the hypercubes, su…
Discovery of Proteomics based on Machine learning
Biao He, Baochang Zhang, Yan Fu
The ultimate target of proteomics identification is to identify and quantify the protein in the organism. Mass spectrometry (MS) based on label-free protein quantitation has mainly…
Strategic priorities for transformative progress in advancing biology with proteomics and artificial intelligence
Yingying Sun, Jun A, Zhiwei Liu +59
Artificial intelligence (AI) is transforming scientific research, including proteomics. Advances in mass spectrometry (MS)-based proteomics data quality, diversity, and scale, comb…
Cross-Modal Alignment with Mixture Experts Neural Network for Intral-City Retail Recommendation
Po Li, Lei Li, Yan Fu +2
In this paper, we introduce Cross-modal Alignment with mixture experts Neural Network (CameNN) recommendation model for intral-city retail industry, which aims to provide fresh foo…
A-Scan2BIM: Assistive Scan to Building Information Modeling
Weilian Song, Jieliang Luo, Dale Zhao +3
This paper proposes an assistive system for architects that converts a large-scale point cloud into a standardized digital representation of a building for Building Information Mod…
Finding important edges in networks through local information
En-Yu Yu, Yan Fu, Jun-Lin Zhou +1
In transportation, communication, social and other real complex networks, some critical edges act a pivotal part in controlling the flow of information and maintaining the integrit…
Reinforced Multi-Teacher Selection for Knowledge Distillation
Fei Yuan, Linjun Shou, Jian Pei +4
In natural language processing (NLP) tasks, slow inference speed and huge footprints in GPU usage remain the bottleneck of applying pre-trained deep models in production. As a popu…
Knowledge Distillation with Training Wheels
Guanlin Liu, Anand Ramachandran, Tanmay Gangwani +2
Knowledge distillation is used, in generative language modeling, to train a smaller student model using the help of a larger teacher model, resulting in improved capabilities for t…
Network Topologies and Dynamics Leading to Endotoxin Tolerance and Priming in Innate Immune Cells
Yan Fu, Trevor Glaros, Meng Zhu +5
The innate immune system, acting as the first line of host defense, senses and adapts to foreign challenges through complex intracellular and intercellular signaling networks. Endo…
Enc2DB: A Hybrid and Adaptive Encrypted Query Processing Framework
Hui Li, Jingwen Shi, Qi Tian +4
As cloud computing gains traction, data owners are outsourcing their data to cloud service providers (CSPs) for Database Service (DBaaS), bringing in a deviation of data ownership…
Identifying critical nodes in complex networks by graph representation learning
Enyu Yu, Duanbing Chen, Yan Fu +1
Because of its wide application, critical nodes identification has become an important research topic at the micro level of network science. Influence maximization is one of the ma…
Multimodal Cross-registration and Quantification of Metric Distortions in Whole Brain Histology of Marmoset using Diffeomorphic Mappings
Brian C. Lee, Meng Kuan Lin, Yan Fu +3
Whole brain neuroanatomy using tera-voxel light-microscopic data sets is of much current interest. A fundamental problem in this field is the mapping of individual brain data sets…
Pruning with Compensation: Efficient Channel Pruning for Deep Convolutional Neural Networks
Zhouyang Xie, Yan Fu, Shengzhao Tian +2
Channel pruning is a promising technique to compress the parameters of deep convolutional neural networks(DCNN) and to speed up the inference. This paper aims to address the long-s…
Diffusion-like recommendation with enhanced similarity of objects
Ya-Hui An, Qiang Dong, Chong-Jing Sun +2
In last decades, diversity and accuracy have been regarded as two important measures in evaluating a recommendation model. However, a clear concern is that a model focusing excessi…
Grouped Competition Test with Unified False Discovery Rate Control
Mingzhou Deng, Yan Fu
This paper discusses several p-value-free multiple hypothesis testing methods proposed in recent years and organizes them by introducing a unified framework termed competition test…
Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension
Fei Yuan, Linjun Shou, Xuanyu Bai +5
Multilingual pre-trained models could leverage the training data from a rich source language (such as English) to improve performance on low resource languages. However, the transf…
A theoretical foundation of the target-decoy search strategy for false discovery rate control in proteomics
Kun He, Yan Fu, Wen-Feng Zeng +6
Motivation: Target-decoy search (TDS) is currently the most popular strategy for estimating and controlling the false discovery rate (FDR) of peptide identifications in mass spectr…
Privacy Preserving Social Network Publication Against Mutual Friend Attacks
Chongjing Sun, Philip S. Yu, Xiangnan Kong +1
Publishing social network data for research purposes has raised serious concerns for individual privacy. There exist many privacy-preserving works that can deal with different atta…
Local degree blocking model for link prediction in complex networks
Zhen Liu, Weike Dong, Yan Fu
Recovering and reconstructing networks by accurately identifying missing and unreliable links is a vital task in the domain of network analysis and mining. In this article, by stud…
Emergence of scale-free close-knit friendship structure in online social networks
Ai-xiang Cui, Zi-ke Zhang, Ming Tang +2
Despite the structural properties of online social networks have attracted much attention, the properties of the close-knit friendship structures remain an important question. Here…
Null-free False Discovery Rate Control Using Decoy Permutations
Kun He, Mengjie Li, Yan Fu +2
The traditional approaches to false discovery rate (FDR) control in multiple hypothesis testing are usually based on the null distribution of a test statistic. However, all types o…
Predicting Critical Nodes in Temporal Networks by Dynamic Graph Convolutional Networks
En-Yu Yu, Yan Fu, Jun-Lin Zhou +2
Many real-world systems can be expressed in temporal networks with nodes playing far different roles in structure and function and edges representing the relationships between node…
Local False Discovery Rate Estimation with Competition-Based Procedures for Variable Selection
Xiaoya Sun, Yan Fu
Multiple hypothesis testing has been widely applied to problems dealing with high-dimensional data, e.g., selecting significant variables and controlling the selection error rate.…
Resonant activation: a strategy against bacterial persistence
Yan Fu, Meng Zhu, Jianhua Xing
A bacterial colony may develop a small number of cells genetically identical to, but phenotypically different from other normally growing bacteria. These so-called persister cells…
Variational Model Inversion Attacks
Kuan-Chieh Wang, Yan Fu, Ke Li +3
Given the ubiquity of deep neural networks, it is important that these models do not reveal information about sensitive data that they have been trained on. In model inversion atta…
Information Filtering on Coupled Social Networks
Da-Cheng Nie, Zi-Ke Zhang, Jun-lin Zhou +2
In this paper, based on the coupled social networks (CSN), we propose a hybrid algorithm to nonlinearly integrate both social and behavior information of online users. Filtering al…
Information Filtering via Balanced Diffusion on Bipartite Networks
Da-Cheng Nie, Ya-Hui An, Qiang Dong +2
Recent decade has witnessed the increasing popularity of recommender systems, which help users acquire relevant commodities and services from overwhelming resources on Internet. So…
A Graph Neural Network Approach for Product Relationship Prediction
Faez Ahmed, Yaxin Cui, Yan Fu +1
Graph Neural Networks have revolutionized many machine learning tasks in recent years, ranging from drug discovery, recommendation systems, image classification, social network ana…
Resource Mention Extraction for MOOC Discussion Forums
Ya-Hui An, Liangming Pan, Min-Yen Kan +2
In discussions hosted on discussion forums for MOOCs, references to online learning resources are often of central importance. They contextualize the discussion, anchoring the disc…