Junpeng Wang

Orcid: 0000-0002-1130-9914

Affiliations:
  • Visa Research, USA
  • University of California, Riverside, CA, USA
  • Ohio State University, Columbus, OH, USA (PhD)
  • Virginia Polytechnic Institute and State University, Blacksburg, VA, USA (former)


According to our database1, Junpeng Wang authored at least 65 papers between 2014 and 2024.

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Bibliography

2024
Visual Analytics for Machine Learning: A Data Perspective Survey.
IEEE Trans. Vis. Comput. Graph., December, 2024

An In-Situ Visual Analytics Framework for Deep Neural Networks.
IEEE Trans. Vis. Comput. Graph., October, 2024

Visual Analytics for Efficient Image Exploration and User-Guided Image Captioning.
IEEE Trans. Vis. Comput. Graph., June, 2024

VERB: Visualizing and Interpreting Bias Mitigation Techniques Geometrically for Word Representations.
ACM Trans. Interact. Intell. Syst., March, 2024

Matrix Profile for Anomaly Detection on Multidimensional Time Series.
CoRR, 2024

Preserving Individuality while Following the Crowd: Understanding the Role of User Taste and Crowd Wisdom in Online Product Rating Prediction.
CoRR, 2024

Adversarial Attacks on Machine Learning-Aided Visualizations.
CoRR, 2024

ParamsDrag: Interactive Parameter Space Exploration via Image-Space Dragging.
CoRR, 2024

Random Projection Layers for Multidimensional Time Series Forecasting.
CoRR, 2024

Has Your Pretrained Model Improved? A Multi-head Posterior Based Approach.
CoRR, 2024

PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

PromptLandscape: Guiding Prompts Exploration and Analysis with Visualization.
Proceedings of the 17th IEEE Pacific Visualization Conference, 2024

RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Visual Analytics of Neuron Vulnerability to Adversarial Attacks on Convolutional Neural Networks.
ACM Trans. Interact. Intell. Syst., December, 2023

SDRQuerier: A Visual Querying Framework for Cross-National Survey Data Recycling.
IEEE Trans. Vis. Comput. Graph., June, 2023

How Does Attention Work in Vision Transformers? A Visual Analytics Attempt.
IEEE Trans. Vis. Comput. Graph., June, 2023

Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework.
IEEE Trans. Vis. Comput. Graph., 2023

Compressing and interpreting word embeddings with latent space regularization and interactive semantics probing.
Inf. Vis., 2023

PDT: Pretrained Dual Transformers for Time-aware Bipartite Graphs.
CoRR, 2023

Sharpness-Aware Graph Collaborative Filtering.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Spatial-Temporal Graph Sandwich Transformer for Traffic Flow Forecasting.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding.
Proceedings of the 16th IEEE Pacific Visualization Symposium, 2023

Multitask Learning for Time Series Data with 2D Convolution.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Toward a Foundation Model for Time Series Data.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

An Efficient Content-based Time Series Retrieval System.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Spatial-Temporal Graph Boosting Networks: Enhancing Spatial-Temporal Graph Neural Networks via Gradient Boosting.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Sketching Multidimensional Time Series for Fast Discord Mining.
Proceedings of the IEEE International Conference on Big Data, 2023

Ego-Network Transformer for Subsequence Classification in Time Series Data.
Proceedings of the IEEE International Conference on Big Data, 2023

Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights.
Proceedings of the IEEE International Conference on Big Data, 2023

Time Series Synthesis Using the Matrix Profile for Anonymization.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Visual Analytics for RNN-Based Deep Reinforcement Learning.
IEEE Trans. Vis. Comput. Graph., 2022

SQRQuerier: A Visual Querying Framework for Cross-national Survey Data Recycling.
CoRR, 2022

Error-bounded Approximate Time Series Joins using Compact Dictionary Representations of Time Series.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Normalization of Language Embeddings for Cross-Lingual Alignment.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series.
Proceedings of the IEEE International Conference on Knowledge Graph, 2022

Learning from Disagreement for Event Detection.
Proceedings of the IEEE International Conference on Big Data, 2022

Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces.
Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track), 2022

2021
USEVis: Visual analytics of attention-based neural embedding in information retrieval.
Vis. Informatics, 2021

CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics.
IEEE Trans. Vis. Comput. Graph., 2021

VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations.
CoRR, 2021

An Interactive Visual Demo of Bias Mitigation Techniques for Word Representations From a Geometric Perspective.
Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Investigating the Evolution of Tree Boosting Models with Visual Analytics.
Proceedings of the 14th IEEE Pacific Visualization Symposium, 2021

2020
CECAV-DNN: Collective Ensemble Comparison and Visualization using Deep Neural Networks.
Vis. Informatics, 2020

InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations.
IEEE Trans. Vis. Comput. Graph., 2020

Multi-stream RNN for Merchant Transaction Prediction.
CoRR, 2020

LatentVis: Investigating and Comparing Variational Auto-Encoders via Their Latent Space.
Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020

Merchant Category Identification Using Credit Card Transactions.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

SCANViz: Interpreting the Symbol-Concept Association Captured by Deep Neural Networks through Visual Analytics.
Proceedings of the 2020 IEEE Pacific Visualization Symposium, 2020

2019
Visualization and Visual Analysis of Ensemble Data: A Survey.
IEEE Trans. Vis. Comput. Graph., 2019

DeepVID: Deep Visual Interpretation and Diagnosis for Image Classifiers via Knowledge Distillation.
IEEE Trans. Vis. Comput. Graph., 2019

DQNViz: A Visual Analytics Approach to Understand Deep Q-Networks.
IEEE Trans. Vis. Comput. Graph., 2019

High-dimensional data analysis with subspace comparison using matrix visualization.
Inf. Vis., 2019

2018
GANViz: A Visual Analytics Approach to Understand the Adversarial Game.
IEEE Trans. Vis. Comput. Graph., 2018

2017
A cache-friendly sampling strategy for texture-based volume rendering on GPU.
Vis. Informatics, 2017

Multi-Resolution Climate Ensemble Parameter Analysis with Nested Parallel Coordinates Plots.
IEEE Trans. Vis. Comput. Graph., 2017

2015
Real-time interactive time correction on the GPU.
Proceedings of the 2015 IEEE Scientific Visualization Conference, 2015

Cylindrical acceleration structures for large hexahedral volume visualization.
Proceedings of the 5th IEEE Symposium on Large Data Analysis and Visualization, 2015

Spectrum: A visual analytics tool to explore movement logs.
Proceedings of the 10th IEEE Conference on Visual Analytics Science and Technology, 2015

Computation-to-core mapping strategies for iso-surface volume rendering on GPUs.
Proceedings of the 2015 IEEE Pacific Visualization Symposium, 2015

2014
Cache-aware sampling strategies for texture-based ray casting on GPU.
Proceedings of the 4th IEEE Symposium on Large Data Analysis and Visualization, 2014


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