Yan Zheng

102 papers A* 12A 12B 11C 1Misc 1Journal 53Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enhancing Foundation Models in Transaction Understanding with LLM-based Sentence Embeddings.
CoRR
Xiran Fan, Zhimeng Jiang, Chin-Chia Michael Yeh, Yuzhong Chen, Yingtong Dou, Menghai Pan, Yan Zheng
2026 — conf
TREASURE: A Transformer-Based Foundation Model for High-Volume Transaction Understanding.
KDD (1)
Chin-Chia Michael Yeh, Uday Singh Saini, Xin Dai, Xiran Fan, Shubham Jain, Yujie Fan, Jiarui Sun, Junpeng Wang, Menghai Pan, Yingtong Dou, Yuzhong Chen, Vineeth Rakesh, Liang Wang, Yan Zheng, Mahashweta Das
2026 J jnl
Understanding LLM Evaluator Behavior: A Structured Multi-Evaluator Framework for Merchant Risk Assessment.
CoRR
Liang Wang, Junpeng Wang, Chin-Chia Michael Yeh, Yan Zheng, Jiarui Sun, Xiran Fan, Xin Dai, Yujie Fan, Yiwei Cai
2025 J jnl
A Compact Model for Large-Scale Time Series Forecasting.
CoRR
Chin-Chia Michael Yeh, Xiran Fan, Zhimeng Jiang, Yujie Fan, Huiyuan Chen, Uday Singh Saini, Vivian Lai, Xin Dai, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Yan Zheng
2025 B conf
EiFormer: Improving Inverted Transformers for Efficient Time Series Forecasting in Large-Scale Spatial-Temporal Data.
IEEE Big Data
Jiarui Sun, Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Xiran Fan, Zhimeng Jiang, Uday Singh Saini, Vivian Lai, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Yan Zheng, Girish Chowdhary
2025 B conf
Empowering Time Series Forecasting with LLM-Agents.
IEEE Big Data
Chin-Chia Michael Yeh, Vivian Lai, Uday Singh Saini, Xiran Fan, Yujie Fan, Junpeng Wang, Xin Dai, Yan Zheng
2025 J jnl
Empowering Time Series Forecasting with LLM-Agents.
CoRR
Chin-Chia Michael Yeh, Vivian Lai, Uday Singh Saini, Xiran Fan, Yujie Fan, Junpeng Wang, Xin Dai, Yan Zheng
2025 — conf
Enhancing Foundation Models in Transaction Understanding with LLM-based Sentence Embeddings.
EMNLP (Industry Track)
Xiran Fan, Zhimeng Jiang, Chin-Chia Michael Yeh, Yuzhong Chen, Yingtong Dou, Menghai Pan, Yan Zheng
2025 — conf
MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation.
ACL (1)
Chia-Yuan Chang, Zhimeng Jiang, Vineeth Rakesh, Menghai Pan, Chin-Chia Michael Yeh, Guanchu Wang, Mingzhi Hu, Zhichao Xu, Yan Zheng, Mahashweta Das, Na Zou
2025 J jnl
MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation.
CoRR
Chia-Yuan Chang, Zhimeng Jiang, Vineeth Rakesh, Menghai Pan, Chin-Chia Michael Yeh, Guanchu Wang, Mingzhi Hu, Zhichao Xu, Yan Zheng, Mahashweta Das, Na Zou
2025 J jnl
TREASURE: A Transformer-Based Foundation Model for High-Volume Transaction Understanding.
CoRR
Chin-Chia Michael Yeh, Uday Singh Saini, Xin Dai, Xiran Fan, Shubham Jain, Yujie Fan, Jiarui Sun, Junpeng Wang, Menghai Pan, Yingtong Dou, Yuzhong Chen, Vineeth Rakesh, Liang Wang, Yan Zheng, Mahashweta Das
2025 J jnl
TiCT: A Synthetically Pre-Trained Foundation Model for Time Series Classification.
CoRR
Chin-Chia Michael Yeh, Uday Singh Saini, Junpeng Wang, Xin Dai, Xiran Fan, Jiarui Sun, Yujie Fan, Yan Zheng
2025 J jnl
Towards Efficient Large Scale Spatial-Temporal Time Series Forecasting via Improved Inverted Transformers.
CoRR
Jiarui Sun, Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Xiran Fan, Zhimeng Jiang, Uday Singh Saini, Vivian Lai, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Yan Zheng, Girish Chowdhary
2025 B conf
UltraSTF: Ultra-Compact Model for Large-Scale Spatio-Temporal Forecasting.
IEEE Big Data
Chin-Chia Michael Yeh, Xiran Fan, Zhimeng Jiang, Yujie Fan, Huiyuan Chen, Uday Singh Saini, Vivian Lai, Xin Dai, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Yan Zheng
2024 A conf
A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining.
CIKM
Audrey Der, Chin-Chia Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Zhongfang Zhuang, Vivian Lai, Junpeng Wang, Liang Wang, Wei Zhang, Eamonn J. Keogh
2024 J jnl
A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining.
CoRR
Audrey Der, Chin-Chia Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Zhongfang Zhuang, Vivian Lai, Junpeng Wang, Liang Wang, Wei Zhang, Eamonn J. Keogh
2024 J jnl
Compressing and Interpreting Word Embeddings with Latent Space Regularization and Interactive Semantics Probing.
CoRR
Haoyu Li, Junpeng Wang, Yan Zheng, Liang Wang, Wei Zhang, Han-Wei Shen
2024 J jnl
Has Your Pretrained Model Improved? A Multi-head Posterior Based Approach.
CoRR
Prince Osei Aboagye, Yan Zheng, Junpeng Wang, Uday Singh Saini, Xin Dai, Chin-Chia Michael Yeh, Yujie Fan, Zhongfang Zhuang, Shubham Jain, Liang Wang, Wei Zhang
2024 A* conf
Masked Graph Transformer for Large-Scale Recommendation.
SIGIR
Huiyuan Chen, Zhe Xu, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng, Minghua Xu, Hanghang Tong
2024 J jnl
Masked Graph Transformer for Large-Scale Recommendation.
CoRR
Huiyuan Chen, Zhe Xu, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng, Minghua Xu, Hanghang Tong
2024 — conf
Matrix Profile XXXI: Motif Discovery Made Faster.
ICKG
Maryam Shahcheraghi, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Mahashweta Das, Eamonn J. Keogh
2024 A* conf
Matrix Profile for Anomaly Detection on Multidimensional Time Series.
ICDM
Chin-Chia Michael Yeh, Audrey Der, Uday Singh Saini, Vivian Lai, Yan Zheng, Junpeng Wang, Xin Dai, Zhongfang Zhuang, Yujie Fan, Huiyuan Chen, Prince Osei Aboagye, Liang Wang, Wei Zhang, Eamonn J. Keogh
2024 J jnl
Matrix Profile for Anomaly Detection on Multidimensional Time Series.
CoRR
Chin-Chia Michael Yeh, Audrey Der, Uday Singh Saini, Vivian Lai, Yan Zheng, Junpeng Wang, Xin Dai, Zhongfang Zhuang, Yujie Fan, Huiyuan Chen, Prince Osei Aboagye, Liang Wang, Wei Zhang, Eamonn J. Keogh
2024 A conf
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies.
SDM
Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
2024 J jnl
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies.
CoRR
Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
2024 J jnl
Preserving Individuality while Following the Crowd: Understanding the Role of User Taste and Crowd Wisdom in Online Product Rating Prediction.
CoRR
Liang Wang, Shubham Jain, Yingtong Dou, Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Prince Osei Aboagye, Yan Zheng, Xin Dai, Zhongfang Zhuang, Uday Singh Saini, Wei Zhang
2024 B conf
PromptLandscape: Guiding Prompts Exploration and Analysis with Visualization.
PacificVis
Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Yan Zheng, Liang Wang, Wei Zhang
2024 A* conf
RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data.
KDD
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
2024 J jnl
Random Projection Layers for Multidimensional Time Series Forecasting.
CoRR
Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Vivian Lai, Prince Osei Aboagye, Junpeng Wang, Huiyuan Chen, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang
2024 J jnl
VERB: Visualizing and Interpreting Bias Mitigation Techniques Geometrically for Word Representations.
ACM Trans. Interact. Intell. Syst.
Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang
2024 J jnl
Visual Analytics for Efficient Image Exploration and User-Guided Image Captioning.
IEEE Trans. Vis. Comput. Graph.
Yiran Li, Junpeng Wang, Prince Osei Aboagye, Chin-Chia Michael Yeh, Yan Zheng, Liang Wang, Wei Zhang, Kwan-Liu Ma
2023 A conf
Adversarial Collaborative Filtering for Free.
RecSys
Huiyuan Chen, Xiaoting Li, Vivian Lai, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Mahashweta Das, Hao Yang
2023 J jnl
Adversarial Collaborative Filtering for Free.
CoRR
Huiyuan Chen, Xiaoting Li, Vivian Lai, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Mahashweta Das, Hao Yang
2023 A conf
An Efficient Content-based Time Series Retrieval System.
CIKM
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
2023 J jnl
An Efficient Content-based Time Series Retrieval System.
CoRR
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
2023 J jnl
Compressing and interpreting word embeddings with latent space regularization and interactive semantics probing.
Inf. Vis.
Haoyu Li, Junpeng Wang, Yan Zheng, Liang Wang, Wei Zhang, Han-Wei Shen
2023 B conf
Ego-Network Transformer for Subsequence Classification in Time Series Data.
IEEE Big Data
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
2023 J jnl
Ego-Network Transformer for Subsequence Classification in Time Series Data.
CoRR
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
2023 B conf
EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding.
PacificVis
Yan Zheng, Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Huiyuan Chen, Liang Wang, Wei Zhang
2023 J jnl
EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding.
CoRR
Yan Zheng, Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Huiyuan Chen, Liang Wang, Wei Zhang
2023 A conf
FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data.
CIKM
Dongyu Zhang, Liang Wang, Xin Dai, Shubham Jain, Junpeng Wang, Yujie Fan, Chin-Chia Michael Yeh, Yan Zheng, Zhongfang Zhuang, Wei Zhang
2023 J jnl
FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data.
CoRR
Dongyu Zhang, Liang Wang, Xin Dai, Shubham Jain, Junpeng Wang, Yujie Fan, Chin-Chia Michael Yeh, Yan Zheng, Zhongfang Zhuang, Wei Zhang
2023 A conf
Hessian-aware Quantized Node Embeddings for Recommendation.
RecSys
Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Chin-Chia Michael Yeh, Yan Zheng, Xia Hu, Hao Yang
2023 J jnl
Hessian-aware Quantized Node Embeddings for Recommendation.
CoRR
Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Chin-Chia Michael Yeh, Yan Zheng, Xia Hu, Hao Yang
2023 J jnl
How Does Attention Work in Vision Transformers? A Visual Analytics Attempt.
CoRR
Yiran Li, Junpeng Wang, Xin Dai, Liang Wang, Chin-Chia Michael Yeh, Yan Zheng, Wei Zhang, Kwan-Liu Ma
2023 J jnl
How Does Attention Work in Vision Transformers? A Visual Analytics Attempt.
IEEE Trans. Vis. Comput. Graph.
Yiran Li, Junpeng Wang, Xin Dai, Liang Wang, Chin-Chia Michael Yeh, Yan Zheng, Wei Zhang, Kwan-Liu Ma
2023 A* conf
Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization.
ICLR
Prince Osei Aboagye, Yan Zheng, Jack Shunn, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips
2023 J jnl
Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework.
IEEE Trans. Vis. Comput. Graph.
Junpeng Wang, Liang Wang, Yan Zheng, Chin-Chia Michael Yeh, Shubham Jain, Wei Zhang
2023 C conf
Multitask Learning for Time Series Data with 2D Convolution.
ICMLA
Chin-Chia Michael Yeh, Xin Dai, Yan Zheng, Junpeng Wang, Huiyuan Chen, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang
2023 J jnl
Multitask Learning for Time Series Data with 2D Convolution.
CoRR
Chin-Chia Michael Yeh, Xin Dai, Yan Zheng, Junpeng Wang, Huiyuan Chen, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang
2023 J jnl
PDT: Pretrained Dual Transformers for Time-aware Bipartite Graphs.
CoRR
Xin Dai, Yujie Fan, Zhongfang Zhuang, Shubham Jain, Chin-Chia Michael Yeh, Junpeng Wang, Liang Wang, Yan Zheng, Wei Zhang
2023 A* conf
Probabilistic Masked Attention Networks for Explainable Sequential Recommendation.
IJCAI
Huiyuan Chen, Kaixiong Zhou, Zhimeng Jiang, Chin-Chia Michael Yeh, Xiaoting Li, Menghai Pan, Yan Zheng, Xia Hu, Hao Yang
2023 A* conf
Sharpness-Aware Graph Collaborative Filtering.
SIGIR
Huiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Junpeng Wang, Vivian Lai, Mahashweta Das, Hao Yang
2023 J jnl
Sharpness-Aware Graph Collaborative Filtering.
CoRR
Huiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Junpeng Wang, Vivian Lai, Mahashweta Das, Hao Yang
2023 B conf
Sketching Multidimensional Time Series for Fast Discord Mining.
IEEE Big Data
Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh
2023 J jnl
Sketching Multidimensional Time Series for Fast Discord Mining.
CoRR
Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh
2023 A conf
Spatial-Temporal Graph Boosting Networks: Enhancing Spatial-Temporal Graph Neural Networks via Gradient Boosting.
CIKM
Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Yan Zheng, Liang Wang, Junpeng Wang, Xin Dai, Zhongfang Zhuang, Wei Zhang
2023 — conf
Spatial-Temporal Graph Sandwich Transformer for Traffic Flow Forecasting.
ECML/PKDD (7)
Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Liang Wang, Zhongfang Zhuang, Junpeng Wang, Xin Dai, Yan Zheng, Wei Zhang
2023 B conf
Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights.
IEEE Big Data
Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Yujie Fan, Vivian Lai, Junpeng Wang, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang
2023 J jnl
Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights.
CoRR
Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Yujie Fan, Vivian Lai, Junpeng Wang, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang
2023 B conf
Time Series Synthesis Using the Matrix Profile for Anonymization.
IEEE Big Data
Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
2023 J jnl
Time Series Synthesis Using the Matrix Profile for Anonymization.
CoRR
Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
2023 A conf
Toward a Foundation Model for Time Series Data.
CIKM
Chin-Chia Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Audrey Der, Vivian Lai, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang
2023 J jnl
Toward a Foundation Model for Time Series Data.
CoRR
Chin-Chia Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Audrey Der, Vivian Lai, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang
2023 J jnl
Visual Analytics for Efficient Image Exploration and User-Guided Image Captioning.
CoRR
Yiran Li, Junpeng Wang, Prince Osei Aboagye, Chin-Chia Michael Yeh, Yan Zheng, Liang Wang, Wei Zhang, Kwan-Liu Ma
2022 A conf
Denoising Self-Attentive Sequential Recommendation.
RecSys
Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang
2022 J jnl
Denoising Self-attentive Sequential Recommendation.
CoRR
Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang
2022 A* conf
Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph.
KDD
Chin-Chia Michael Yeh, Mengting Gu, Yan Zheng, Huiyuan Chen, Javid Ebrahimi, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang
2022 J jnl
Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph.
CoRR
Chin-Chia Michael Yeh, Mengting Gu, Yan Zheng, Huiyuan Chen, Javid Ebrahimi, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang
2022 A conf
Error-bounded Approximate Time Series Joins using Compact Dictionary Representations of Time Series.
SDM
Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Wei Zhang, Eamonn J. Keogh
2022 B conf
Learning from Disagreement for Event Detection.
IEEE Big Data
Liang Wang, Junpeng Wang, Yan Zheng, Shubham Jain, Chin-Chia Michael Yeh, Zhongfang Zhuang, Javid Ebrahimi, Wei Zhang
2022 J jnl
Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework.
CoRR
Junpeng Wang, Liang Wang, Yan Zheng, Chin-Chia Michael Yeh, Shubham Jain, Wei Zhang
2022 — conf
Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series.
ICKG
Audrey Der, Chin-Chia Michael Yeh, Renjie Wu, Junpeng Wang, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
2022 J jnl
Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series.
CoRR
Audrey Der, Chin-Chia Michael Yeh, Renjie Wu, Junpeng Wang, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
2022 A* conf
Normalization of Language Embeddings for Cross-Lingual Alignment.
ICLR
Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Liang Wang, Hao Yang, Jeff M. Phillips
2022 Misc conf
Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces.
AMTA
Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips
2022 J jnl
Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces.
CoRR
Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips
2022 A conf
TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems.
RecSys
Huiyuan Chen, Xiaoting Li, Kaixiong Zhou, Xia Hu, Chin-Chia Michael Yeh, Yan Zheng, Hao Yang
2022 J jnl
TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems.
CoRR
Huiyuan Chen, Xiaoting Li, Kaixiong Zhou, Xia Hu, Chin-Chia Michael Yeh, Yan Zheng, Hao Yang
2021 — conf
An Interactive Visual Demo of Bias Mitigation Techniques for Word Representations From a Geometric Perspective.
NeurIPS (Competition and Demos)
Archit Rathore, Sunipa Dev, Vivek Srikumar, Jeff M. Phillips, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang
2021 A* conf
Constrained Non-Affine Alignment of Embeddings.
ICDM
Yuwei Wang, Yan Zheng, Yanqing Peng, Chin-Chia Michael Yeh, Zhongfang Zhuang, Mahashweta Das, Mangesh Bendre, Feifei Li, Wei Zhang, Jeff M. Phillips
2021 J jnl
Error-bounded Approximate Time Series Joins using Compact Dictionary Representations of Time Series.
CoRR
Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Wei Zhang, Eamonn J. Keogh
2021 A conf
Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks.
CIKM
Chin-Chia Michael Yeh, Zhongfang Zhuang, Junpeng Wang, Yan Zheng, Javid Ebrahimi, Ryan Mercer, Liang Wang, Wei Zhang
2021 J jnl
Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks.
CoRR
Chin-Chia Michael Yeh, Zhongfang Zhuang, Junpeng Wang, Yan Zheng, Javid Ebrahimi, Ryan Mercer, Liang Wang, Wei Zhang
2021 J jnl
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations.
CoRR
Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang
2021 J jnl
Visualization of Big Spatial Data Using Coresets for Kernel Density Estimates.
IEEE Trans. Big Data
Yan Zheng, Yi Ou, Alexander Lex, Jeff M. Phillips
2020 — conf
Merchant Category Identification Using Credit Card Transactions.
IEEE BigData
Chin-Chia Michael Yeh, Zhongfang Zhuang, Yan Zheng, Liang Wang, Junpeng Wang, Wei Zhang
2020 J jnl
Merchant Category Identification Using Credit Card Transactions.
CoRR
Chin-Chia Michael Yeh, Zhongfang Zhuang, Yan Zheng, Liang Wang, Junpeng Wang, Wei Zhang
2020 — conf
Towards a Flexible Embedding Learning Framework.
ICDM (Workshops)
Chin-Chia Michael Yeh, Dhruv Gelda, Zhongfang Zhuang, Yan Zheng, Liang Gou, Wei Zhang
2020 J jnl
Towards a Flexible Embedding Learning Framework.
CoRR
Chin-Chia Michael Yeh, Dhruv Gelda, Zhongfang Zhuang, Yan Zheng, Liang Gou, Wei Zhang
2019 J jnl
Feature Detection and Attenuation in Embeddings.
CoRR
Yuwei Wang, Yan Zheng, Yanqing Peng, Wei Zhang, Feifei Li
2018 — conf
Fully convolutional structured LSTM networks for joint 4D medical image segmentation.
ISBI
Yang Gao, Jeff M. Phillips, Yan Zheng, Renqiang Min, P. Thomas Fletcher, Guido Gerig
2017 — —
Algorithms and Coresets for Large-Scale Kernel Smoothing.
Yan Zheng
2017 A* conf
Coresets for Kernel Regression.
KDD
Yan Zheng, Jeff M. Phillips
2017 J jnl
Coresets for Kernel Regression.
CoRR
Yan Zheng, Jeff M. Phillips
2017 J jnl
Visualization of Big Spatial Data using Coresets for Kernel Density Estimates.
CoRR
Yan Zheng, Yi Ou, Alexander Lex, Jeff M. Phillips
2015 A* conf
Geometric Inference on Kernel Density Estimates.
SoCG
Jeff M. Phillips, Bei Wang, Yan Zheng
2015 A* conf
L∞ Error and Bandwidth Selection for Kernel Density Estimates of Large Data.
KDD
Yan Zheng, Jeff M. Phillips
2015 B conf
Subsampling in Smoothed Range Spaces.
ALT
Jeff M. Phillips, Yan Zheng
2015 J jnl
Subsampling in Smoothed Range Spaces.
CoRR
Jeff M. Phillips, Yan Zheng
2013 J jnl
Geometric Inference on Kernel Density Estimates.
CoRR
Jeff M. Phillips, Bei Wang, Yan Zheng
2013 — conf
Quality and efficiency for kernel density estimates in large data.
SIGMOD Conference
Yan Zheng, Jeffrey Jestes, Jeff M. Phillips, Feifei Li