Search Results for author: Shen Wang

Found 25 papers, 4 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

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

no code implementations27 Apr 2022 Thulitha Senevirathna, Zujany Salazar, 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

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

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

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.

Pretrained Language Models

Delving into Macro Placement with Reinforcement Learning

no code implementations6 Sep 2021 Zixuan Jiang, Ebrahim Songhori, Shen Wang, Anna Goldie, Azalia Mirhoseini, Joe Jiang, Young-Joon Lee, David Z. Pan

In physical design, human designers typically place macros via trial and error, which is a Markov decision process.

reinforcement-learning

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.

online learning 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

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