Search Results for author: Shen Wang

Found 35 papers, 9 papers with code

H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network

no code implementations EMNLP 2020 Shen Wang, Xiaokai Wei, Cicero Nogueira dos santos, Zhiguo Wang, Ramesh Nallapati, Andrew Arnold, Bing Xiang, Philip S. Yu

Existing knowledge graph embedding approaches concentrate on modeling symmetry/asymmetry, inversion, and composition typed relations but overlook the hierarchical nature of relations.

Graph Attention Knowledge Graph Embedding +2

MIML: Multiplex Image Machine Learning for High Precision Cell Classification via Mechanical Traits within Microfluidic Systems

no code implementations15 Sep 2023 Khayrul Islam, Ratul Paul, Shen Wang, Yaling Liu

MIML has been proven effective in classifying white blood cells and tumor cells, with potential for broader application due to its inherent flexibility and transfer learning capability.

Specificity Transfer Learning

AVARS -- Alleviating Unexpected Urban Road Traffic Congestion using UAVs

1 code implementation10 Sep 2023 Jiaying Guo, Michael R. Jones, Soufiene Djahel, Shen Wang

In this paper, we argue that Unmanned Aerial Vehicles (UAVs) can play a crucial role in dealing with unexpected traffic congestion because UAVs with onboard cameras can be economically deployed when and where unexpected congestion occurs.

Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs

1 code implementation20 Apr 2023 Costas Mavromatis, Vassilis N. Ioannidis, Shen Wang, Da Zheng, Soji Adeshina, Jun Ma, Han Zhao, Christos Faloutsos, George Karypis

Different from conventional knowledge distillation, GRAD jointly optimizes a GNN teacher and a graph-free student over the graph's nodes via a shared LM.

Knowledge Distillation Node Classification

OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization

no code implementations31 Jan 2023 Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu

Graph Neural Networks (GNNs) are currently dominating in modeling graph-structure data, while their high reliance on graph structure for inference significantly impedes them from widespread applications.

Node Classification

MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System

1 code implementation14 Nov 2022 Liangwei Yang, Shen Wang, Jibing Gong, Shaojie Zheng, Shuying Du, Zhiwei Liu, Philip S. Yu

To fill this gap, in this paper, we explore the rich, heterogeneous relationship among items and propose a new KG-enhanced recommendation model called Collaborative Meta-Knowledge Enhanced Recommender System (MetaKRec).

Recommendation Systems

Analyzing Deep Learning Based Brain Tumor Segmentation with Missing MRI Modalities

no code implementations6 Aug 2022 Benteng Ma, Yushi Wang, Shen Wang

Approaches evaluated include the Adversarial Co-training Network (ACN) and a combination of mmGAN and DeepMedic.

Brain Tumor Segmentation Tumor Segmentation

Data-Driven Identification of Dynamic Quality Models in Drinking Water Networks

no code implementations13 Jul 2022 Shen Wang, Ankush Chakrabarty, Ahmad F. Taha

Traditional control and monitoring of water quality in drinking water distribution networks (WDN) rely on mostly model- or toolbox-driven approaches, where the network topology and parameters are assumed to be known.

Debiasing Neural Retrieval via In-batch Balancing Regularization

no code implementations NAACL (GeBNLP) 2022 Yuantong Li, Xiaokai Wei, Zijian Wang, Shen Wang, Parminder Bhatia, Xiaofei Ma, Andrew Arnold

People frequently interact with information retrieval (IR) systems, however, IR models exhibit biases and discrimination towards various demographics.

Fairness Passage Retrieval +1

A Survey on XAI for Beyond 5G Security: Technical Aspects, Use Cases, Challenges and Research Directions

no code implementations27 Apr 2022 Thulitha Senevirathna, Vinh Hoa La, Samuel Marchal, Bartlomiej Siniarski, Madhusanka Liyanage, Shen Wang

With the advent of 5G commercialization, the need for more reliable, faster, and intelligent telecommunication systems are envisaged for the next generation beyond 5G (B5G) radio access technologies.

Decision Making Edge-computing +2

Fine-Grained Control of Artistic Styles in Image Generation

no code implementations19 Oct 2021 Xin Miao, Huayan Wang, Jun Fu, Jiayi Liu, Shen Wang, Zhenyu Liao

The style vectors are fed to the generator and discriminator to achieve fine-grained control.

Image Generation

Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey

no code implementations16 Oct 2021 Xiaokai Wei, Shen Wang, Dejiao Zhang, Parminder Bhatia, Andrew Arnold

This new paradigm has revolutionized the entire field of natural language processing, and set the new state-of-the-art performance for a wide variety of NLP tasks.

Can CAV Reduce Non-Recurrent Urban Road Congestion?

no code implementations16 Oct 2021 Yunkai Li, Haotian Li, Beatriz Martinez-Pastor, Shen Wang

A well-designed resilient and sustainable urban transportation system can recover quickly from the non-recurrent road congestion (NRC), which is often caused by en-route events (e. g., road closure due to car collisions).

Autonomous Vehicles

Anti-Counterfeiting for Polymer Banknotes Based on Polymer Substrate Fingerprinting

no code implementations10 Mar 2021 Shen Wang, Ehsan Toreini, Feng Hao

As compared with previous or existing anti-counterfeiting mechanisms for banknotes, our method has a distinctive advantage: it ensures that even in the extreme case when counterfeiters have procured the same printing equipment and ink as used by a legitimate government, counterfeiting banknotes remains infeasible because of the difficulty to replicate a stochastic manufacturing process.

Cryptography and Security

Model Order Reduction for Water Quality Dynamics

no code implementations22 Feb 2021 Shen Wang, Ahmad F. Taha, Ankush Chakrabarty, Lina Sela, Ahmed Abokifa

Such representation is a byproduct of space- and time-discretization of the PDE modeling transport dynamics.

Transferable Graph Optimizers for ML Compilers

no code implementations NeurIPS 2020 Yanqi Zhou, Sudip Roy, Amirali Abdolrashidi, Daniel Wong, Peter Ma, Qiumin Xu, Hanxiao Liu, Phitchaya Mangpo Phothilimthana, Shen Wang, Anna Goldie, Azalia Mirhoseini, James Laudon

Most compilers for machine learning (ML) frameworks need to solve many correlated optimization problems to generate efficient machine code.

Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation

1 code implementation10 Jul 2020 Shen Wang, Kongming Liang, Yiming Li, Yizhou Yu, Yizhou Wang

Nevertheless, there are still great challenges with brain midline delineation, such as the largely deformed midline caused by the mass effect and the possible morphological failure that the predicted midline is not a connected curve.

Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View

2 code implementations23 Jun 2020 Shen Wang, Jibing Gong, Jinlong Wang, Wenzheng Feng, Hao Peng, Jie Tang, Philip S. Yu

To address this issue, we leverage both content information and context information to learn the representation of entities via graph convolution network.

Representation Learning

BusTime: Which is the Right Prediction Model for My Bus Arrival Time?

no code implementations20 Mar 2020 Dairui Liu, Jingxiang Sun, Shen Wang

With the rise of big data technologies, many smart transportation applications have been rapidly developed in recent years including bus arrival time predictions.

Segmentation-based Method combined with Dynamic Programming for Brain Midline Delineation

no code implementations27 Feb 2020 Shen Wang, Kongming Liang, Chengwei Pan, Chuyang Ye, Xiuli Li, Feng Liu, Yizhou Yu, Yizhou Wang

The midline related pathological image features are crucial for evaluating the severity of brain compression caused by stroke or traumatic brain injury (TBI).

Decision Making

Generative Temporal Link Prediction via Self-tokenized Sequence Modeling

no code implementations26 Nov 2019 Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui, Guandong Xu

We formalize networks with evolving structures as temporal networks and propose a generative link prediction model, Generative Link Sequence Modeling (GLSM), to predict future links for temporal networks.

Link Prediction

Kernelized Support Tensor Machines

no code implementations ICML 2017 Lifang He, Chun-Ta Lu, Guixiang Ma, Shen Wang, Linlin Shen, Philip S. Yu, Ann B. Ragin

In the context of supervised tensor learning, preserving the structural information and exploiting the discriminative nonlinear relationships of tensor data are crucial for improving the performance of learning tasks.

Multi-Way Multi-Level Kernel Modeling for Neuroimaging Classification

no code implementations CVPR 2017 Lifang He, Chun-Ta Lu, Hao Ding, Shen Wang, Linlin Shen, Philip S. Yu, Ann B. Ragin

Owing to prominence as a diagnostic tool for probing the neural correlates of cognition, neuroimaging tensor data has been the focus of intense investigation.

Classification General Classification

Cannot find the paper you are looking for? You can Submit a new open access paper.