Supervised dictionary learning for music genre classification. - Chin-Chia Michael Yeh; Yi-Hsuan Yang (ICMR, 2012)

Bilingual analysis of song lyrics and audio words. - Jen-Yu Liu; Chin-Chia Michael Yeh; Yi-Hsuan Yang; Yuan-Ching Teng (ACM Multimedia, 2012)

Towards a more efficient sparse coding based audio-word feature extraction system. - Chin-Chia Michael Yeh; Yi-Hsuan Yang (APSIPA, 2013)

Dual-layer bag-of-frames model for music genre classification. - Chin-Chia Michael Yeh; Li Su 004; Yi-Hsuan Yang (ICASSP, 2013)

Modified lasso screening for audio word-based music classification using large-scale dictionary. - Ping-Keng Jao; Chin-Chia Michael Yeh; Yi-Hsuan Yang (ICASSP, 2014)

Improving music auto-tagging by intra-song instance bagging. - Chin-Chia Michael Yeh; Ju-Chiang Wang; Yi-Hsuan Yang; Hsin-Min Wang (ICASSP, 2014)

AWtoolbox: Characterizing Audio Information Using Audio Words. - Chin-Chia Michael Yeh; Ping-Keng Jao; Yi-Hsuan Yang (ACM Multimedia, 2014)

A Systematic Evaluation of the Bag-of-Frames Representation for Music Information Retrieval. - Li Su 004; Chin-Chia Michael Yeh; Jen-Yu Liu; Ju-Chiang Wang; Yi-Hsuan Yang (IEEE Trans. Multim., 2014)

Matrix Profile III: The Matrix Profile Allows Visualization of Salient Subsequences in Massive Time Series. - Chin-Chia Michael Yeh; Helga Van Herle; Eamonn J. Keogh (ICDM, 2016)

Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets. - Chin-Chia Michael Yeh; Yan Zhu 014; Liudmila Ulanova; Nurjahan Begum; Yifei Ding; Hoang Anh Dau; Diego Furtado Silva; Abdullah Mueen; Eamonn J. Keogh (ICDM, 2016)

Matrix Profile II: Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and Joins. - Yan Zhu 014; Zachary Zimmerman; Nader Shakibay Senobari; Chin-Chia Michael Yeh; Gareth J. Funning; Abdullah Mueen; Philip Brisk; Eamonn J. Keogh (ICDM, 2016)

SiMPle: Assessing Music Similarity Using Subsequences Joins. - Diego Furtado Silva; Chin-Chia Michael Yeh; Gustavo E. A. P. A. Batista; Eamonn J. Keogh (ISMIR, 2016)

Matrix Profile VIII: Domain Agnostic Online Semantic Segmentation at Superhuman Performance Levels. - Shaghayegh Gharghabi; Yifei Ding; Chin-Chia Michael Yeh; Kaveh Kamgar; Liudmila Ulanova; Eamonn J. Keogh (ICDM, 2017)

Matrix Profile VI: Meaningful Multidimensional Motif Discovery. - Chin-Chia Michael Yeh; Nickolas Kavantzas; Eamonn J. Keogh (ICDM, 2017)

Matrix Profile IV: Using Weakly Labeled Time Series to Predict Outcomes. - Chin-Chia Michael Yeh; Nickolas Kavantzas; Eamonn J. Keogh (Proc. VLDB Endow., 2017)

Matrix Profile XI: SCRIMP++: Time Series Motif Discovery at Interactive Speeds. - Yan Zhu 014; Chin-Chia Michael Yeh; Zachary Zimmerman; Kaveh Kamgar; Eamonn J. Keogh (ICDM, 2018)

Time Series Classification to Improve Poultry Welfare. - Alireza Abdoli; Amy C. Murillo; Chin-Chia Michael Yeh; Alec C. Gerry; Eamonn J. Keogh (ICMLA, 2018)

Representation Learning by Reconstructing Neighborhoods. - Chin-Chia Michael Yeh; Yan Zhu 014; Evangelos E. Papalexakis; Abdullah Mueen; Eamonn J. Keogh (CoRR, 2018)

Towards a Near Universal Time Series Data Mining Tool: Introducing the Matrix Profile. - Chin-Chia Michael Yeh (CoRR, 2018)

Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile. - Chin-Chia Michael Yeh; Yan Zhu 014; Liudmila Ulanova; Nurjahan Begum; Yifei Ding; Hoang Anh Dau; Zachary Zimmerman; Diego Furtado Silva; Abdullah Mueen; Eamonn J. Keogh (Data Min. Knowl. Discov., 2018)

Exploiting a novel algorithm and GPUs to break the ten quadrillion pairwise comparisons barrier for time series motifs and joins. - Yan Zhu 014; Zachary Zimmerman; Nader Shakibay Senobari; Chin-Chia Michael Yeh; Gareth J. Funning; Abdullah Mueen; Philip Brisk; Eamonn J. Keogh (Knowl. Inf. Syst., 2018)

Towards a Near Universal Time Series Data Mining Tool: Introducing the Matrix Profile. - Chin-Chia Michael Yeh (2018)

Online Amnestic DTW to allow Real-Time Golden Batch Monitoring. - Chin-Chia Michael Yeh; Yan Zhu 014; Hoang Anh Dau; Amirali Darvishzadeh; Mikhail Noskov; Eamonn J. Keogh (KDD, 2019)

Domain agnostic online semantic segmentation for multi-dimensional time series. - Shaghayegh Gharghabi; Chin-Chia Michael Yeh; Yifei Ding; Wei Ding 003; Paul Hibbing; Samuel LaMunion; Andrew Kaplan; Scott E. Crouter; Eamonn J. Keogh (Data Min. Knowl. Discov., 2019)

Correction to: Domain agnostic online semantic segmentation for multi-dimensional time series. - Shaghayegh Gharghabi; Chin-Chia Michael Yeh; Yifei Ding; Wei Ding 003; Paul Hibbing; Samuel LaMunion; Andrew Kaplan; Scott E. Crouter; Eamonn J. Keogh (Data Min. Knowl. Discov., 2019)

The UCR time series archive. - Hoang Anh Dau; Anthony J. Bagnall; Kaveh Kamgar; Chin-Chia Michael Yeh; Yan Zhu 014; Shaghayegh Gharghabi; Chotirat Ann Ratanamahatana; Eamonn J. Keogh (IEEE CAA J. Autom. Sinica, 2019)

Fast Similarity Matrix Profile for Music Analysis and Exploration. - Diego Furtado Silva; Chin-Chia Michael Yeh; Yan Zhu 014; Gustavo E. A. P. A. Batista; Eamonn J. Keogh (IEEE Trans. Multim., 2019)

Merchant Category Identification Using Credit Card Transactions. - Chin-Chia Michael Yeh; Zhongfang Zhuang; Yan Zheng 001; Liang Wang 047; Junpeng Wang 001; Wei Zhang 189 (IEEE BigData, 2020)

Matrix Profile XVII: Indexing the Matrix Profile to Allow Arbitrary Range Queries. - Yan Zhu 014; Chin-Chia Michael Yeh; Zachary Zimmerman; Eamonn J. Keogh (ICDE, 2020)

Towards a Flexible Embedding Learning Framework. - Chin-Chia Michael Yeh; Dhruv Gelda; Zhongfang Zhuang; Yan Zheng 001; Liang Gou; Wei Zhang 189 (ICDM (Workshops), 2020)

Multi-future Merchant Transaction Prediction. - Chin-Chia Michael Yeh; Zhongfang Zhuang; Wei Zhang 189; Liang Wang 047 (ECML/PKDD (5), 2020)

Multi-stream RNN for Merchant Transaction Prediction. - Zhongfang Zhuang; Chin-Chia Michael Yeh; Liang Wang 047; Wei Zhang 189; Junpeng Wang 001 (CoRR, 2020)

The Swiss army knife of time series data mining: ten useful things you can do with the matrix profile and ten lines of code. - Yan Zhu 014; Shaghayegh Gharghabi; Diego Furtado Silva; Hoang Anh Dau; Chin-Chia Michael Yeh; Nader Shakibay Senobari; Abdulaziz Almaslukh; Kaveh Kamgar; Zachary Zimmerman; Gareth J. Funning; Abdullah Mueen; Eamonn J. Keogh (Data Min. Knowl. Discov., 2020)

Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks. - Chin-Chia Michael Yeh; Zhongfang Zhuang; Junpeng Wang 001; Yan Zheng 001; Javid Ebrahimi; Ryan Mercer; Liang Wang 047; Wei Zhang 189 (CIKM, 2021)

Constrained Non-Affine Alignment of Embeddings. - Yuwei Wang; Yan Zheng 001; Yanqing Peng; Chin-Chia Michael Yeh; Zhongfang Zhuang; Mahashweta Das; Mangesh Bendre; Feifei Li 001; Wei Zhang 189; Jeff M. Phillips (ICDM, 2021)

An Interactive Visual Demo of Bias Mitigation Techniques for Word Representations From a Geometric Perspective. - Archit Rathore; Sunipa Dev; Vivek Srikumar; Jeff M. Phillips; Yan Zheng 001; Chin-Chia Michael Yeh; Junpeng Wang 001; Wei Zhang 189; Bei Wang 001 (NeurIPS (Competition and Demos), 2021)

Mining Anomalies in Subspaces of High-Dimensional Time Series for Financial Transactional Data. - Jingzhu He; Chin-Chia Michael Yeh; Yanhong Wu; Liang Wang 047; Wei Zhang 189 (ECML/PKDD (4), 2021)

Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems. - Huiyuan Chen; Lan Wang; Yusan Lin; Chin-Chia Michael Yeh; Fei Wang 062; Hao Yang 007 (SIGIR, 2021)

VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations. - Archit Rathore; Sunipa Dev; Jeff M. Phillips; Vivek Srikumar; Yan Zheng 001; Chin-Chia Michael Yeh; Junpeng Wang 001; Wei Zhang 189; Bei Wang 001 (CoRR, 2021)

Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces. - Prince Osei Aboagye; Yan Zheng 001; Chin-Chia Michael Yeh; Junpeng Wang 001; Zhongfang Zhuang; Huiyuan Chen; Liang Wang 047; Wei Zhang 189; Jeff M. Phillips (AMTA, 2022)

Dynamic Graph Node Classification via Time Augmentation. - Jiarui Sun; Mengting Gu; Chin-Chia Michael Yeh; Yujie Fan; Girish Chowdhary 001; Wei Zhang 189 (IEEE Big Data, 2022)

Learning from Disagreement for Event Detection. - Liang Wang 047; Junpeng Wang 001; Yan Zheng 001; Shubham Jain; Chin-Chia Michael Yeh; Zhongfang Zhuang; Javid Ebrahimi; Wei Zhang 189 (IEEE Big Data, 2022)

Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series. - Audrey Der; Chin-Chia Michael Yeh; Renjie Wu 001; Junpeng Wang 001; Yan Zheng 001; Zhongfang Zhuang; Liang Wang 047; Wei Zhang 189; Eamonn J. Keogh (ICKG, 2022)

Normalization of Language Embeddings for Cross-Lingual Alignment. - Prince Osei Aboagye; Yan Zheng 001; Chin-Chia Michael Yeh; Junpeng Wang 001; Wei Zhang 189; Liang Wang 047; Hao Yang 007; Jeff M. Phillips (ICLR, 2022)

PerfSig: Extracting Performance Bug Signatures via Multi-modality Causal Analysis. - Jingzhu He; Yuhang Lin; Xiaohui Gu; Chin-Chia Michael Yeh; Zhongfang Zhuang (ICSE, 2022)

Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph. - Chin-Chia Michael Yeh; Mengting Gu; Yan Zheng 001; Huiyuan Chen; Javid Ebrahimi; Zhongfang Zhuang; Junpeng Wang 001; Liang Wang 047; Wei Zhang 189 (KDD, 2022)

Denoising Self-Attentive Sequential Recommendation. - Huiyuan Chen; Yusan Lin; Menghai Pan; Lan Wang; Chin-Chia Michael Yeh; Xiaoting Li 001; Yan Zheng 001; Fei Wang 062; Hao Yang 007 (RecSys, 2022)

TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems. - Huiyuan Chen; Xiaoting Li 001; Kaixiong Zhou; Xia Hu 001; Chin-Chia Michael Yeh; Yan Zheng 001; Hao Yang 007 (RecSys, 2022)

Error-bounded Approximate Time Series Joins using Compact Dictionary Representations of Time Series. - Chin-Chia Michael Yeh; Yan Zheng 001; Junpeng Wang 001; Huiyuan Chen; Zhongfang Zhuang; Wei Zhang 189; Eamonn J. Keogh (SDM, 2022)

Graph Neural Transport Networks with Non-local Attentions for Recommender Systems. - Huiyuan Chen; Chin-Chia Michael Yeh; Fei Wang 062; Hao Yang 007 (WWW, 2022)

Visual Analytics for RNN-Based Deep Reinforcement Learning. - Junpeng Wang 001; Wei Zhang 189; Hao Yang 007; Chin-Chia Michael Yeh; Liang Wang 047 (IEEE Trans. Vis. Comput. Graph., 2022)

Time Series Synthesis Using the Matrix Profile for Anonymization. - Audrey Der; Chin-Chia Michael Yeh; Yan Zheng 001; Junpeng Wang 001; Huiyuan Chen; Zhongfang Zhuang; Liang Wang 047; Wei Zhang 189; Eamonn J. Keogh (IEEE Big Data, 2023)

Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights. - Chin-Chia Michael Yeh; Huiyuan Chen; Xin Dai; Yan Zheng 001; Yujie Fan; Vivian Lai; Junpeng Wang 001; Audrey Der; Zhongfang Zhuang; Liang Wang 047; Wei Zhang 189 (IEEE Big Data, 2023)

Ego-Network Transformer for Subsequence Classification in Time Series Data. - Chin-Chia Michael Yeh; Huiyuan Chen; Yujie Fan; Xin Dai; Yan Zheng 001; Vivian Lai; Junpeng Wang 001; Zhongfang Zhuang; Liang Wang 047; Wei Zhang 189; Eamonn J. Keogh (IEEE Big Data, 2023)

Sketching Multidimensional Time Series for Fast Discord Mining. - Chin-Chia Michael Yeh; Yan Zheng 001; Menghai Pan; Huiyuan Chen; Zhongfang Zhuang; Junpeng Wang 001; Liang Wang 047; Wei Zhang 189; Jeff M. Phillips; Eamonn J. Keogh (IEEE Big Data, 2023)

Spatial-Temporal Graph Boosting Networks: Enhancing Spatial-Temporal Graph Neural Networks via Gradient Boosting. - Yujie Fan; Chin-Chia Michael Yeh; Huiyuan Chen; Yan Zheng 001; Liang Wang 047; Junpeng Wang 001; Xin Dai; Zhongfang Zhuang; Wei Zhang 189 (CIKM, 2023)

An Efficient Content-based Time Series Retrieval System. - Chin-Chia Michael Yeh; Huiyuan Chen; Xin Dai; Yan Zheng 001; Junpeng Wang 001; Vivian Lai; Yujie Fan; Audrey Der; Zhongfang Zhuang; Liang Wang 047; Wei Zhang 189; Jeff M. Phillips (CIKM, 2023)

Toward a Foundation Model for Time Series Data. - Chin-Chia Michael Yeh; Xin Dai; Huiyuan Chen; Yan Zheng 001; Yujie Fan; Audrey Der; Vivian Lai; Zhongfang Zhuang; Junpeng Wang 001; Liang Wang 047; Wei Zhang 189 (CIKM, 2023)

FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data. - Dongyu Zhang; Liang Wang 047; Xin Dai; Shubham Jain; Junpeng Wang 001; Yujie Fan; Chin-Chia Michael Yeh; Yan Zheng 001; Zhongfang Zhuang; Wei Zhang 189 (CIKM, 2023)

Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization. - Prince Osei Aboagye; Yan Zheng 001; Jack Shunn; Chin-Chia Michael Yeh; Junpeng Wang 001; Zhongfang Zhuang; Huiyuan Chen; Liang Wang 047; Wei Zhang 189; Jeff M. Phillips (ICLR, 2023)

Multitask Learning for Time Series Data with 2D Convolution. - Chin-Chia Michael Yeh; Xin Dai; Yan Zheng 001; Junpeng Wang 001; Huiyuan Chen; Yujie Fan; Audrey Der; Zhongfang Zhuang; Liang Wang 047; Wei Zhang 189 (ICMLA, 2023)

Probabilistic Masked Attention Networks for Explainable Sequential Recommendation. - Huiyuan Chen; Kaixiong Zhou; Zhimeng Jiang; Chin-Chia Michael Yeh; Xiaoting Li 001; Menghai Pan; Yan Zheng 001; Xia Hu 001; Hao Yang 007 (IJCAI, 2023)

EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding. - Yan Zheng 001; Junpeng Wang 001; Chin-Chia Michael Yeh; Yujie Fan; Huiyuan Chen; Liang Wang 047; Wei Zhang 189 (PacificVis, 2023)

Spatial-Temporal Graph Sandwich Transformer for Traffic Flow Forecasting. - Yujie Fan; Chin-Chia Michael Yeh; Huiyuan Chen; Liang Wang 047; Zhongfang Zhuang; Junpeng Wang 001; Xin Dai; Yan Zheng 001; Wei Zhang 189 (ECML/PKDD (7), 2023)

Adversarial Collaborative Filtering for Free. - Huiyuan Chen; Xiaoting Li 001; Vivian Lai; Chin-Chia Michael Yeh; Yujie Fan; Yan Zheng 001; Mahashweta Das; Hao Yang 007 (RecSys, 2023)

Hessian-aware Quantized Node Embeddings for Recommendation. - Huiyuan Chen; Kaixiong Zhou; Kwei-Herng Lai; Chin-Chia Michael Yeh; Yan Zheng 001; Xia Hu 001; Hao Yang 007 (RecSys, 2023)

Enhancing Transformers without Self-supervised Learning: A Loss Landscape Perspective in Sequential Recommendation. - Vivian Lai; Huiyuan Chen; Chin-Chia Michael Yeh; Minghua Xu 003; Yiwei Cai; Hao Yang 007 (RecSys, 2023)

Sharpness-Aware Graph Collaborative Filtering. - Huiyuan Chen; Chin-Chia Michael Yeh; Yujie Fan; Yan Zheng 001; Junpeng Wang 001; Vivian Lai; Mahashweta Das; Hao Yang 007 (SIGIR, 2023)

PDT: Pretrained Dual Transformers for Time-aware Bipartite Graphs. - Xin Dai; Yujie Fan; Zhongfang Zhuang; Shubham Jain; Chin-Chia Michael Yeh; Junpeng Wang 001; Liang Wang 047; Yan Zheng 001; Wei Zhang 189 (CoRR, 2023)

Revealing the Power of Spatial-Temporal Masked Autoencoders in Multivariate Time Series Forecasting. - Jiarui Sun; Yujie Fan; Chin-Chia Michael Yeh; Wei Zhang 189; Girish Chowdhary 001 (CoRR, 2023)

Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework. - Junpeng Wang 001; Liang Wang 047; Yan Zheng 001; Chin-Chia Michael Yeh; Shubham Jain; Wei Zhang 189 (IEEE Trans. Vis. Comput. Graph., 2023)

How Does Attention Work in Vision Transformers? A Visual Analytics Attempt. - Yiran Li 002; Junpeng Wang 001; Xin Dai; Liang Wang 047; Chin-Chia Michael Yeh; Yan Zheng 001; Wei Zhang 189; Kwan-Liu Ma (IEEE Trans. Vis. Comput. Graph., 2023)

A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining. - Audrey Der; Chin-Chia Michael Yeh; Xin Dai; Huiyuan Chen; Yan Zheng 001; Yujie Fan; Zhongfang Zhuang; Vivian Lai; Junpeng Wang 001; Liang Wang 047; Wei Zhang 189; Eamonn J. Keogh (CIKM, 2024)

Revealing the Power of Masked Autoencoders in Traffic Forecasting. - Jiarui Sun; Yujie Fan; Chin-Chia Michael Yeh; Wei Zhang 189; Girish Chowdhary 001 (CIKM, 2024)

Matrix Profile XXXI: Motif Discovery Made Faster. - Maryam Shahcheraghi; Chin-Chia Michael Yeh; Yan Zheng 001; Junpeng Wang 001; Zhongfang Zhuang; Liang Wang 047; Mahashweta Das; Eamonn J. Keogh (ICKG, 2024)

Matrix Profile for Anomaly Detection on Multidimensional Time Series. - Chin-Chia Michael Yeh; Audrey Der; Uday Singh Saini; Vivian Lai; Yan Zheng 001; Junpeng Wang 001; Xin Dai; Zhongfang Zhuang; Yujie Fan; Huiyuan Chen; Prince Osei Aboagye; Liang Wang 047; et al. (ICDM, 2024)

RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data. - Chin-Chia Michael Yeh; Yujie Fan; Xin Dai; Uday Singh Saini; Vivian Lai; Prince Osei Aboagye; Junpeng Wang 001; Huiyuan Chen; Yan Zheng 001; Zhongfang Zhuang; Liang Wang 047; Wei Zhang 189 (KDD, 2024)

PromptLandscape: Guiding Prompts Exploration and Analysis with Visualization. - Junpeng Wang 001; Chin-Chia Michael Yeh; Yujie Fan; Xin Dai; Yan Zheng 001; Liang Wang 047; Wei Zhang 189 (PacificVis, 2024)

PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies. - Audrey Der; Chin-Chia Michael Yeh; Yan Zheng 001; Junpeng Wang 001; Zhongfang Zhuang; Liang Wang 047; Wei Zhang 189; Eamonn J. Keogh (SDM, 2024)

Analysis of Causal and Non-Causal Convolution Networks for Time Series Classification. - Uday Singh Saini; Zhongfang Zhuang; Chin-Chia Michael Yeh; Wei Zhang 189; Evangelos E. Papalexakis (SDM, 2024)

Masked Graph Transformer for Large-Scale Recommendation. - Huiyuan Chen; Zhe Xu 007; Chin-Chia Michael Yeh; Vivian Lai; Yan Zheng 001; Minghua Xu 003; Hanghang Tong (SIGIR, 2024)

Has Your Pretrained Model Improved? A Multi-head Posterior Based Approach. - Prince Osei Aboagye; Yan Zheng 001; Junpeng Wang 001; Uday Singh Saini; Xin Dai; Chin-Chia Michael Yeh; Yujie Fan; Zhongfang Zhuang; Shubham Jain; Liang Wang 047; Wei Zhang 189 (CoRR, 2024)

Random Projection Layers for Multidimensional Time Series Forecasting. - Chin-Chia Michael Yeh; Yujie Fan; Xin Dai; Vivian Lai; Prince Osei Aboagye; Junpeng Wang 001; Huiyuan Chen; Yan Zheng 001; Zhongfang Zhuang; Liang Wang 047; Wei Zhang 189 (CoRR, 2024)

Preserving Individuality while Following the Crowd: Understanding the Role of User Taste and Crowd Wisdom in Online Product Rating Prediction. - Liang Wang 047; Shubham Jain; Yingtong Dou; Junpeng Wang 001; Chin-Chia Michael Yeh; Yujie Fan; Prince Osei Aboagye; Yan Zheng 001; Xin Dai; Zhongfang Zhuang; Uday Singh Saini; Wei Zhang 189 (CoRR, 2024)

VERB: Visualizing and Interpreting Bias Mitigation Techniques Geometrically for Word Representations. - Archit Rathore; Sunipa Dev; Jeff M. Phillips; Vivek Srikumar; Yan Zheng 001; Chin-Chia Michael Yeh; Junpeng Wang 001; Wei Zhang 189; Bei Wang 001 (ACM Trans. Interact. Intell. Syst., 2024)

Visual Analytics for Efficient Image Exploration and User-Guided Image Captioning. - Yiran Li 002; Junpeng Wang 001; Prince Osei Aboagye; Chin-Chia Michael Yeh; Yan Zheng 001; Liang Wang 047; Wei Zhang 189; Kwan-Liu Ma (IEEE Trans. Vis. Comput. Graph., 2024)

MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation. - Chia-Yuan Chang 002; Zhimeng Jiang; Vineeth Rakesh; Menghai Pan; Chin-Chia Michael Yeh; Guanchu Wang; Mingzhi Hu; Zhichao Xu; Yan Zheng 001; Mahashweta Das; Na Zou 001 (ACL (1), 2025)

Visual Attention Exploration in Vision-Based Mamba Models. - Junpeng Wang 001; Chin-Chia Michael Yeh; Uday Singh Saini; Mahashweta Das (PacificVis, 2025)

A Compact Model for Large-Scale Time Series Forecasting. - Chin-Chia Michael Yeh; Xiran Fan; Zhimeng Jiang; Yujie Fan; Huiyuan Chen; Uday Singh Saini; Vivian Lai; Xin Dai; Junpeng Wang 001; Zhongfang Zhuang; Liang Wang 047; Yan Zheng 001 (CoRR, 2025)

Towards Efficient Large Scale Spatial-Temporal Time Series Forecasting via Improved Inverted Transformers. - Jiarui Sun; Chin-Chia Michael Yeh; Yujie Fan; Xin Dai; Xiran Fan; Zhimeng Jiang; Uday Singh Saini; Vivian Lai; Junpeng Wang 001; Huiyuan Chen; Zhongfang Zhuang; Yan Zheng 001; et al. (CoRR, 2025)

Empowering Time Series Forecasting with LLM-Agents. - Chin-Chia Michael Yeh; Vivian Lai; Uday Singh Saini; Xiran Fan; Yujie Fan; Junpeng Wang 001; Xin Dai; Yan Zheng 001 (CoRR, 2025)

Illuminating LLM Coding Agents: Visual Analytics for Deeper Understanding and Enhancement. - Junpeng Wang 001; Yuzhong Chen; Menghai Pan; Chin-Chia Michael Yeh; Mahashweta Das (CoRR, 2025)