Yan Zheng

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 73

Top Topics

Bipartite Graph

Kernel Density Estimates

Embedding Space

Top Venues

Publications

Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies. SDM (2024)
Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Yan Zheng, Liang Wang, Wei Zhang
PromptLandscape: Guiding Prompts Exploration and Analysis with Visualization. PacificVis (2024)
Huiyuan Chen, Zhe Xu, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng, Minghua Xu, Hanghang Tong
Masked Graph Transformer for Large-Scale Recommendation. SIGIR (2024)
Huiyuan Chen, Zhe Xu, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng, Minghua Xu, Hanghang Tong
Masked Graph Transformer for Large-Scale Recommendation. CoRR (2024)
Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Uday Singh Saini, Vivian Lai, Prince Osei Aboagye, Junpeng Wang, Huiyuan Chen, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang
RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data. KDD (2024)
Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies. CoRR (2024)
Haoyu Li, Junpeng Wang, Yan Zheng, Liang Wang, Wei Zhang, Han-Wei Shen
Compressing and Interpreting Word Embeddings with Latent Space Regularization and Interactive Semantics Probing. CoRR (2024)
Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang
VERB: Visualizing and Interpreting Bias Mitigation Techniques Geometrically for Word Representations. ACM Trans. Interact. Intell. Syst. 14 (1) (2024)
Yiran Li, Junpeng Wang, Prince Osei Aboagye, Chin-Chia Michael Yeh, Yan Zheng, Liang Wang, Wei Zhang, Kwan-Liu Ma
Visual Analytics for Efficient Image Exploration and User-Guided Image Captioning. IEEE Trans. Vis. Comput. Graph. 30 (6) (2024)
Yiran Li, Junpeng Wang, Xin Dai, Liang Wang, Chin-Chia Michael Yeh, Yan Zheng, Wei Zhang, Kwan-Liu Ma
How Does Attention Work in Vision Transformers? A Visual Analytics Attempt. CoRR (2023)
Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh
Sketching Multidimensional Time Series for Fast Discord Mining. CoRR (2023)
Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
Time Series Synthesis Using the Matrix Profile for Anonymization. CoRR (2023)
Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Chin-Chia Michael Yeh, Yan Zheng, Xia Hu, Hao Yang
Hessian-aware Quantized Node Embeddings for Recommendation. CoRR (2023)
Huiyuan Chen, Xiaoting Li, Vivian Lai, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Mahashweta Das, Hao Yang
Adversarial Collaborative Filtering for Free. CoRR (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
An Efficient Content-based Time Series Retrieval System. CoRR (2023)
Chin-Chia Michael Yeh, Huiyuan Chen, Yujie Fan, Xin Dai, Yan Zheng, Vivian Lai, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
Ego-Network Transformer for Subsequence Classification in Time Series Data. BigData (2023)
Huiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Junpeng Wang, Vivian Lai, Mahashweta Das, Hao Yang
Sharpness-Aware Graph Collaborative Filtering. CoRR (2023)
Chin-Chia Michael Yeh, Xin Dai, Yan Zheng, Junpeng Wang, Huiyuan Chen, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang
Multitask Learning for Time Series Data with 2D Convolution. ICMLA (2023)
Chin-Chia Michael Yeh, Huiyuan Chen, Yujie Fan, Xin Dai, Yan Zheng, Vivian Lai, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
Ego-Network Transformer for Subsequence Classification in Time Series Data. CoRR (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
Toward a Foundation Model for Time Series Data. CIKM (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
Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights. BigData (2023)
Dongyu Zhang, Liang Wang, Xin Dai, Shubham Jain, Junpeng Wang, Yujie Fan, Chin-Chia Michael Yeh, Yan Zheng, Zhongfang Zhuang, Wei Zhang
FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data. CIKM (2023)
Chin-Chia Michael Yeh, Xin Dai, Yan Zheng, Junpeng Wang, Huiyuan Chen, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang
Multitask Learning for Time Series Data with 2D Convolution. CoRR (2023)
Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh
Sketching Multidimensional Time Series for Fast Discord Mining. BigData (2023)
Huiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Junpeng Wang, Vivian Lai, Mahashweta Das, Hao Yang
Sharpness-Aware Graph Collaborative Filtering. SIGIR (2023)
Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Chin-Chia Michael Yeh, Yan Zheng, Xia Hu, Hao Yang
Hessian-aware Quantized Node Embeddings for Recommendation. RecSys (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
Toward a Foundation Model for Time Series Data. CoRR (2023)
Yan Zheng, Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Huiyuan Chen, Liang Wang, Wei Zhang
EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding. CoRR (2023)
Huiyuan Chen, Kaixiong Zhou, Zhimeng Jiang, Chin-Chia Michael Yeh, Xiaoting Li, Menghai Pan, Yan Zheng, Xia Hu, Hao Yang
Probabilistic Masked Attention Networks for Explainable Sequential Recommendation. IJCAI (2023)
Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Liang Wang, Zhongfang Zhuang, Junpeng Wang, Xin Dai, Yan Zheng, Wei Zhang
Spatial-Temporal Graph Sandwich Transformer for Traffic Flow Forecasting. ECML/PKDD (7) (2023)
Huiyuan Chen, Xiaoting Li, Vivian Lai, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Mahashweta Das, Hao Yang
Adversarial Collaborative Filtering for Free. RecSys (2023)
Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Yan Zheng, Liang Wang, Junpeng Wang, Xin Dai, Zhongfang Zhuang, Wei Zhang
Spatial-Temporal Graph Boosting Networks: Enhancing Spatial-Temporal Graph Neural Networks via Gradient Boosting. CIKM (2023)
Dongyu Zhang, Liang Wang, Xin Dai, Shubham Jain, Junpeng Wang, Yujie Fan, Chin-Chia Michael Yeh, Yan Zheng, Zhongfang Zhuang, Wei Zhang
FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data. CoRR (2023)
Yan Zheng, Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Huiyuan Chen, Liang Wang, Wei Zhang
EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding. PacificVis (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
Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights. CoRR (2023)
Yiran Li, Junpeng Wang, Prince Osei Aboagye, Chin-Chia Michael Yeh, Yan Zheng, Liang Wang, Wei Zhang, Kwan-Liu Ma
Visual Analytics for Efficient Image Exploration and User-Guided Image Captioning. CoRR (2023)
Junpeng Wang, Liang Wang, Yan Zheng, Chin-Chia Michael Yeh, Shubham Jain, Wei Zhang
Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework. IEEE Trans. Vis. Comput. Graph. 29 (9) (2023)
Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
Time Series Synthesis Using the Matrix Profile for Anonymization. BigData (2023)
Yiran Li, Junpeng Wang, Xin Dai, Liang Wang, Chin-Chia Michael Yeh, Yan Zheng, Wei Zhang, Kwan-Liu Ma
How Does Attention Work in Vision Transformers? A Visual Analytics Attempt. IEEE Trans. Vis. Comput. Graph. 29 (6) (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
An Efficient Content-based Time Series Retrieval System. CIKM (2023)
Xin Dai, Yujie Fan, Zhongfang Zhuang, Shubham Jain, Chin-Chia Michael Yeh, Junpeng Wang, Liang Wang, Yan Zheng, Wei Zhang
PDT: Pretrained Dual Transformers for Time-aware Bipartite Graphs. CoRR (2023)
Prince Osei Aboagye, Yan Zheng, Jack Shunn, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips
Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization. ICLR (2023)
Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang
Denoising Self-Attentive Sequential Recommendation. RecSys (2022)
Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips
Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces. CoRR (2022)
Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Liang Wang, Hao Yang, Jeff M. Phillips
Normalization of Language Embeddings for Cross-Lingual Alignment. ICLR (2022)
Huiyuan Chen, Xiaoting Li, Kaixiong Zhou, Xia Hu, Chin-Chia Michael Yeh, Yan Zheng, Hao Yang
TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems. CoRR (2022)
Chin-Chia Michael Yeh, Mengting Gu, Yan Zheng, Huiyuan Chen, Javid Ebrahimi, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang
Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph. CoRR (2022)
Chin-Chia Michael Yeh, Mengting Gu, Yan Zheng, Huiyuan Chen, Javid Ebrahimi, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang
Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph. KDD (2022)
Liang Wang, Junpeng Wang, Yan Zheng, Shubham Jain, Chin-Chia Michael Yeh, Zhongfang Zhuang, Javid Ebrahimi, Wei Zhang
Learning from Disagreement for Event Detection. Big Data (2022)
Audrey Der, Chin-Chia Michael Yeh, Renjie Wu, Junpeng Wang, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series. ICKG (2022)
Huiyuan Chen, Xiaoting Li, Kaixiong Zhou, Xia Hu, Chin-Chia Michael Yeh, Yan Zheng, Hao Yang
TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems. RecSys (2022)
Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips
Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces. AMTA (2022)
Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Wei Zhang, Eamonn J. Keogh
Error-bounded Approximate Time Series Joins using Compact Dictionary Representations of Time Series. SDM (2022)
Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations. CoRR (2021)
Chin-Chia Michael Yeh, Zhongfang Zhuang, Junpeng Wang, Yan Zheng, Javid Ebrahimi, Ryan Mercer, Liang Wang, Wei Zhang
Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks. CoRR (2021)
Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Wei Zhang, Eamonn J. Keogh
Error-bounded Approximate Time Series Joins using Compact Dictionary Representations of Time Series. CoRR (2021)
Yan Zheng, Yi Ou, Alexander Lex, Jeff M. Phillips
Visualization of Big Spatial Data Using Coresets for Kernel Density Estimates. IEEE Trans. Big Data 7 (3) (2021)
Archit Rathore, Sunipa Dev, Vivek Srikumar, Jeff M. Phillips, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang
An Interactive Visual Demo of Bias Mitigation Techniques for Word Representations From a Geometric Perspective. NeurIPS (Competition and Demos) (2021)
Yuwei Wang, Yan Zheng, Yanqing Peng, Chin-Chia Michael Yeh, Zhongfang Zhuang, Mahashweta Das, Mangesh Bendre, Feifei Li, Wei Zhang, Jeff M. Phillips
Constrained Non-Affine Alignment of Embeddings. ICDM (2021)
Chin-Chia Michael Yeh, Zhongfang Zhuang, Junpeng Wang, Yan Zheng, Javid Ebrahimi, Ryan Mercer, Liang Wang, Wei Zhang
Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks. CIKM (2021)
Chin-Chia Michael Yeh, Zhongfang Zhuang, Yan Zheng, Liang Wang, Junpeng Wang, Wei Zhang
Merchant Category Identification Using Credit Card Transactions. IEEE BigData (2020)
Chin-Chia Michael Yeh, Dhruv Gelda, Zhongfang Zhuang, Yan Zheng, Liang Gou, Wei Zhang
Towards a Flexible Embedding Learning Framework. CoRR (2020)
Chin-Chia Michael Yeh, Dhruv Gelda, Zhongfang Zhuang, Yan Zheng, Liang Gou, Wei Zhang
Towards a Flexible Embedding Learning Framework. ICDM (Workshops) (2020)
Chin-Chia Michael Yeh, Zhongfang Zhuang, Yan Zheng, Liang Wang, Junpeng Wang, Wei Zhang
Merchant Category Identification Using Credit Card Transactions. CoRR (2020)
Yuwei Wang, Yan Zheng, Yanqing Peng, Wei Zhang, Feifei Li
Feature Detection and Attenuation in Embeddings. CoRR (2019)
Yang Gao, Jeff M. Phillips, Yan Zheng, Renqiang Min, P. Thomas Fletcher, Guido Gerig
Fully convolutional structured LSTM networks for joint 4D medical image segmentation. ISBI (2018)
Yan Zheng, Jeff M. Phillips
Coresets for Kernel Regression. CoRR (2017)
Yan Zheng, Yi Ou, Alexander Lex, Jeff M. Phillips
Visualization of Big Spatial Data using Coresets for Kernel Density Estimates. CoRR (2017)
Yan Zheng, Jeff M. Phillips
Coresets for Kernel Regression. KDD (2017)
Jeff M. Phillips, Yan Zheng
Subsampling in Smoothed Range Spaces. ALT (2015)
Jeff M. Phillips, Bei Wang, Yan Zheng
Geometric Inference on Kernel Density Estimates. SoCG (2015)
Jeff M. Phillips, Yan Zheng
Subsampling in Smoothed Range Spaces. CoRR (2015)
Yan Zheng, Jeff M. Phillips
L∞ Error and Bandwidth Selection for Kernel Density Estimates of Large Data. KDD (2015)
Jeff M. Phillips, Bei Wang, Yan Zheng
Geometric Inference on Kernel Density Estimates. CoRR (2013)
Yan Zheng, Jeffrey Jestes, Jeff M. Phillips, Feifei Li
Quality and efficiency for kernel density estimates in large data. SIGMOD Conference (2013)