Automatic prosody labeling using both text and acoustic information. - Xijun Ma; Wei Zhang 189; Qin Shi 001; Weibin Zhu; Liqin Shen (ICASSP (1), 2003)

Probability based prosody model for unit selection. - Xijun Ma; Wei Zhang 189; Weibin Zhu; Qin Shi 001; Ling Jin (ICASSP (1), 2004)

Mutual-information based segment pre-selection in concatenative text-to-speech. - Wei Zhang 189; Ling Jin; Xijun Ma (INTERSPEECH, 2004)

Automatic detection of Chinese accent-index based on approximation-ratio. - Weibin Zhu; Wei Zhang 189; Qin Shi 001; Xijun Ma; Liqin Shen (ISCSLP, 2004)

Grapheme-to-Phoneme Conversion Based on a Fast TBL Algorithm in Mandarin TTS Systems. - Min Zheng; Qin Shi 001; Wei Zhang 189; Lianhong Cai (FSKD (2), 2005)

Prosody Analysis and Modeling for Emotional Speech Synthesis. - Dan-Ning Jiang; Wei Zhang 189; Liqin Shen; Lianhong Cai (ICASSP (1), 2005)

Grapheme-to-phoneme conversion based on TBL algorithm in Mandarin TTS system. - Min Zheng; Qin Shi 001; Wei Zhang 189; Lianhong Cai (INTERSPEECH, 2005)

Integrating Text and phonetic Information for Robust Statistical speech Translation. - Liang Gu; Yonggang Deng; Wei Zhang 189; Yuqing Gao (SLT, 2006)

Statistical vowelization of Arabic text for speech synthesis in speech-to-speech translation systems. - Liang Gu; Wei Zhang 189; Lazkin Tahir; Yuqing Gao (INTERSPEECH, 2007)

Recent improvements of Probability Based Prosody Models for Unit Selection in concatenative Text-to-Speech. - Wei Zhang 189; Liang Gu; Yuqing Gao (ICASSP, 2009)

Pruning redundant synthesis units based on static and delta unit appearance frequency. - Heng Lu; Wei Zhang 189; Xu Shao; Quan Zhou; Wenhui Lei; Hongbin Zhou; Andrew P. Breen (INTERSPEECH, 2015)

Dynamic Graph Representation Learning via Self-Attention Networks. - Aravind Sankar; Yanhong Wu; Liang Gou; Wei Zhang 189; Hao Yang 007 (CoRR, 2018)

Invulnerability Analysis of Power Distribution Network Based on Topology Structure. - Liang Wang 047; Ke Lin; Wei Zhang 189; Liangzhong Fan (ICSAI, 2019)

Pcard: Personalized Restaurants Recommendation from Card Payment Transaction Records. - Min Du 003; Robert Christensen; Wei Zhang 189; Feifei Li 001 (WWW, 2019)

Feature Detection and Attenuation in Embeddings. - Yuwei Wang; Yan Zheng 001; Yanqing Peng; Wei Zhang 189; Feifei Li 001 (CoRR, 2019)

DeepVID: Deep Visual Interpretation and Diagnosis for Image Classifiers via Knowledge Distillation. - Junpeng Wang 001; Liang Gou; Wei Zhang 189; Hao Yang 007; Han-Wei Shen (IEEE Trans. Vis. Comput. Graph., 2019)

SCANViz: Interpreting the Symbol-Concept Association Captured by Deep Neural Networks through Visual Analytics. - Junpeng Wang 001; Wei Zhang 189; Hao Yang 007 (PacificVis, 2020)

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)

Magellan: A Personalized Travel Recommendation System Using Transaction Data. - Konik Kothari; Dhruv Gelda; Wei Zhang 189; Hao Yang 007 (CIKM, 2020)

How Can Self-Attention Networks Recognize Dyck-n Languages? - Javid Ebrahimi; Dhruv Gelda; Wei Zhang 189 (EMNLP (Findings), 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)

GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation. - Aravind Sankar; Yanhong Wu; Yuhang Wu 002; Wei Zhang 189; Hao Yang 007; Hari Sundaram (SIGIR, 2020)

DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks. - Aravind Sankar; Yanhong Wu; Liang Gou; Wei Zhang 189; Hao Yang 007 (WSDM, 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)

Investigating the Evolution of Tree Boosting Models with Visual Analytics. - Junpeng Wang 001; Wei Zhang 189; Liang Wang 047; Hao Yang 007 (PacificVis, 2021)

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)

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)

How Does Adversarial Fine-Tuning Benefit BERT? - Javid Ebrahimi; Hao Yang 007; Wei Zhang 189 (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)

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)

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)

Tair-PMem: a Fully Durable Non-Volatile Memory Database. - Caixin Gong; Chengjin Tian; Zhengheng Wang; Sheng Wang 011; Xiyu Wang; Qiulei Fu; Wu Qin; Qian Long; Rui Chen; Jiang Qi; Ruo Wang; Guoyun Zhu; et al. (Proc. VLDB Endow., 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)

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)

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)

Compressing and interpreting word embeddings with latent space regularization and interactive semantics probing. - Haoyu Li; Junpeng Wang 001; Yan Zheng 001; Liang Wang 047; Wei Zhang 189; Han-Wei Shen (Inf. Vis., 2023)

Lindorm TSDB: A Cloud-native Time-series Database for Large-scale Monitoring Systems. - Chunhui Shen; Qianyu Ouyang; Feibo Li; Zhipeng Liu; Longcheng Zhu; Yujie Zou; Qing Su; Tianhuan Yu; Yi Yi; Jianhong Hu; Cen Zheng; Bo Wen; et al. (Proc. VLDB Endow., 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 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)

Optimization of Binocular Vision Ranging Based on Sparse Stereo Matching and Feature Point Extraction. - Zhiliang Chen; Wei Zhang 189; Shilin Li; Kaixiong Zhu; Huiyuan Chen (IEEE Access, 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)

Visual Analytics for Machine Learning: A Data Perspective Survey. - Junpeng Wang 001; Shixia Liu; Wei Zhang 189 (IEEE Trans. Vis. Comput. Graph., 2024)

MOOSS: Mask-Enhanced Temporal Contrastive Learning for Smooth State Evolution in Visual Reinforcement Learning. - Jiarui Sun; M. Ugur Akcal; Girish Chowdhary 001; Wei Zhang 189 (WACV, 2025)