Search Results for author: Junpeng Wang

Found 33 papers, 3 papers with code

Has Your Pretrained Model Improved? A Multi-head Posterior Based Approach

no code implementations2 Jan 2024 Prince Aboagye, Yan Zheng, Junpeng Wang, Uday Singh Saini, Xin Dai, Michael Yeh, Yujie Fan, Zhongfang Zhuang, Shubham Jain, Liang Wang, Wei zhang

The emergence of pre-trained models has significantly impacted Natural Language Processing (NLP) and Computer Vision to relational datasets.

Ego-Network Transformer for Subsequence Classification in Time Series Data

no code implementations5 Nov 2023 Chin-Chia Michael Yeh, Huiyuan Chen, Yujie Fan, Xin Dai, Yan Zheng, Vivian Lai, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei zhang, Eamonn Keogh

The ego-networks of all subsequences collectively form a time series subsequence graph, and we introduce an algorithm to efficiently construct this graph.

Time Series Time Series Classification

Time Series Synthesis Using the Matrix Profile for Anonymization

no code implementations5 Nov 2023 Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Liang Wang, Wei zhang, Eamonn Keogh

As a result, unmodified data mining tools can obtain near-identical performance on the synthesized time series as on the original time series.

Time Series

Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights

no code implementations5 Nov 2023 Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Yujie Fan, Vivian Lai, Junpeng Wang, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei zhang

To facilitate this investigation, we introduce a CTSR benchmark dataset that comprises time series data from a variety of domains, such as motion, power demand, and traffic.

Retrieval Time Series +1

Visual Analytics for Efficient Image Exploration and User-Guided Image Captioning

no code implementations2 Nov 2023 Yiran Li, Junpeng Wang, Prince Aboagye, Michael Yeh, Yan Zheng, Liang Wang, Wei zhang, Kwan-Liu Ma

On the one hand, by visually examining the captions automatically generated from language-image models for an image dataset, we gain deeper insights into the semantic underpinnings of the visual contents, unearthing data biases that may be entrenched within the dataset.

Efficient Exploration Image Captioning

An Efficient Content-based Time Series Retrieval System

no code implementations5 Oct 2023 Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Junpeng Wang, Vivian Lai, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei zhang, Jeff M. Phillips

A Content-based Time Series Retrieval (CTSR) system is an information retrieval system for users to interact with time series emerged from multiple domains, such as finance, healthcare, and manufacturing.

Information Retrieval Retrieval +1

Toward a Foundation Model for Time Series Data

no code implementations5 Oct 2023 Chin-Chia Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Audrey Der, Vivian Lai, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei zhang

A foundation model is a machine learning model trained on a large and diverse set of data, typically using self-supervised learning-based pre-training techniques, that can be adapted to various downstream tasks.

Self-Supervised Learning Time Series

EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding

no code implementations2 Aug 2023 Yan Zheng, Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Huiyuan Chen, Liang Wang, Wei zhang

The tool helps users discover nuance features of data entities, perform feature denoising/injecting in embedding training, and generate embeddings for unseen entities.

Denoising

Visual Analytics For Machine Learning: A Data Perspective Survey

no code implementations15 Jul 2023 Junpeng Wang, Shixia Liu, Wei zhang

The past decade has witnessed a plethora of works that leverage the power of visualization (VIS) to interpret machine learning (ML) models.

PDT: Pretrained Dual Transformers for Time-aware Bipartite Graphs

no code implementations2 Jun 2023 Xin Dai, Yujie Fan, Zhongfang Zhuang, Shubham Jain, Chin-Chia Michael Yeh, Junpeng Wang, Liang Wang, Yan Zheng, Prince Osei Aboagye, Wei zhang

Pre-training on large models is prevalent and emerging with the ever-growing user-generated content in many machine learning application categories.

Contrastive Learning

NicePIM: Design Space Exploration for Processing-In-Memory DNN Accelerators with 3D-Stacked-DRAM

no code implementations30 May 2023 Junpeng Wang, Mengke Ge, Bo Ding, Qi Xu, Song Chen, Yi Kang

As one of the feasible processing-in-memory(PIM) architectures, 3D-stacked-DRAM-based PIM(DRAM-PIM) architecture enables large-capacity memory and low-cost memory access, which is a promising solution for DNN accelerators with better performance and energy efficiency.

Scheduling

How Does Attention Work in Vision Transformers? A Visual Analytics Attempt

no code implementations24 Mar 2023 Yiran Li, Junpeng Wang, Xin Dai, Liang Wang, Chin-Chia Michael Yeh, Yan Zheng, Wei zhang, Kwan-Liu Ma

Multi-head self-attentions are then applied to the sequence to learn the attention between patches.

Visual Analytics of Neuron Vulnerability to Adversarial Attacks on Convolutional Neural Networks

no code implementations6 Mar 2023 Yiran Li, Junpeng Wang, Takanori Fujiwara, Kwan-Liu Ma

Adversarial attacks on a convolutional neural network (CNN) -- injecting human-imperceptible perturbations into an input image -- could fool a high-performance CNN into making incorrect predictions.

Autonomous Driving Medical Diagnosis +1

Task modules Partitioning, Scheduling and Floorplanning for Partially Dynamically Reconfigurable Systems Based on Modern Heterogeneous FPGAs

no code implementations11 Dec 2022 Bo Ding, Jinglei Huang, Junpeng Wang, Qi Xu, Song Chen, Yi Kang

To better solve the problems in the automation process of FPGA-PDRS and narrow the gap between algorithm and application, in this paper, we propose a complete workflow including three parts, pre-processing to generate the list of task modules candidate shapes according to the resources requirements, exploration process to search the solution of task modules partitioning, scheduling, and floorplanning, and post-optimization to improve the success rate of floorplan.

Scheduling

Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces

no code implementations AMTA 2022 Prince O Aboagye, Yan Zheng, Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei zhang, Jeff Phillips

Optimal Transport (OT) provides a useful geometric framework to estimate the permutation matrix under unsupervised cross-lingual word embedding (CLWE) models that pose the alignment task as a Wasserstein-Procrustes problem.

Bilingual Lexicon Induction Quantization

Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph

no code implementations11 Aug 2022 Chin-Chia Michael Yeh, Mengting Gu, Yan Zheng, Huiyuan Chen, Javid Ebrahimi, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei zhang

Graph neural networks (GNNs) are deep learning models designed specifically for graph data, and they typically rely on node features as the input to the first layer.

Representation Learning

Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework

no code implementations19 Jan 2022 Junpeng Wang, Liang Wang, Yan Zheng, Chin-Chia Michael Yeh, Shubham Jain, Wei zhang

With these metrics, one can easily identify meta-features with the most complementary behaviors in two classifiers, and use them to better ensemble the classifiers.

Binary Classification

Embedding Compression with Hashing for Efficient Representation Learning in Graph

no code implementations29 Sep 2021 Chin-Chia Michael Yeh, Mengting Gu, Yan Zheng, Huiyuan Chen, Javid Ebrahimi, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei zhang

When applying such type of networks on graph without node feature, one can extract simple graph-based node features (e. g., number of degrees) or learn the input node representation (i. e., embeddings) when training the network.

Representation Learning

Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks

no code implementations21 Sep 2021 Chin-Chia Michael Yeh, Zhongfang Zhuang, Junpeng Wang, Yan Zheng, Javid Ebrahimi, Ryan Mercer, Liang Wang, Wei zhang

In this work, we study the problem of multivariate time series prediction for estimating transaction metrics associated with entities in the payment transaction database.

Time Series Time Series Prediction

Normalization of Language Embeddings for Cross-Lingual Alignment

1 code implementation NeurIPS 2021 Prince Osei Aboagye, Jeff Phillips, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei zhang, Liang Wang, Hao Yang

Learning a good transfer function to map the word vectors from two languages into a shared cross-lingual word vector space plays a crucial role in cross-lingual NLP.

Translation

VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations

1 code implementation6 Apr 2021 Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei zhang, Bei Wang

To aid this, we present Visualization of Embedding Representations for deBiasing system ("VERB"), an open-source web-based visualization tool that helps the users gain a technical understanding and visual intuition of the inner workings of debiasing techniques, with a focus on their geometric properties.

Decision Making Dimensionality Reduction +3

Merchant Category Identification Using Credit Card Transactions

no code implementations5 Nov 2020 Chin-Chia Michael Yeh, Zhongfang Zhuang, Yan Zheng, Liang Wang, Junpeng Wang, Wei zhang

In this work, we approach this problem from a multi-modal learning perspective, where we use not only the merchant time series data but also the information of merchant-merchant relationship (i. e., affinity) to verify the self-reported business type (i. e., merchant category) of a given merchant.

Time Series Time Series Analysis +1

CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics

no code implementations8 Sep 2020 Guan Li, Junpeng Wang, Han-Wei Shen, Kaixin Chen, Guihua Shan, Zhonghua Lu

It considers the importance of convolutional filters through both instability and sensitivity, and allows users to interactively create pruning plans according to a desired goal on model size or accuracy.

Multi-stream RNN for Merchant Transaction Prediction

no code implementations25 Jul 2020 Zhongfang Zhuang, Chin-Chia Michael Yeh, Liang Wang, Wei zhang, Junpeng Wang

New challenges have surfaced in monitoring and guaranteeing the integrity of payment processing systems.

Fraud Detection Time Series +1

InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations

no code implementations1 Aug 2019 Wenbin He, Junpeng Wang, Hanqi Guo, Ko-Chih Wang, Han-Wei Shen, Mukund Raj, Youssef S. G. Nashed, Tom Peterka

We propose InSituNet, a deep learning based surrogate model to support parameter space exploration for ensemble simulations that are visualized in situ.

Image Generation

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