Wei Zhang

Orcid: 0009-0001-7984-7241

Affiliations:
  • Visa Research, Palo Alto, CA, USA
  • Nuance Communications Inc., Burlington, MA, USA
  • IBM Research Almaden, San Jose, CA, USA
  • IBM T. J. Watson Research Center, Yorktown Heights, NY, USA
  • IBM China Research Laboratory, Beijing, China


According to our database1, Wei Zhang authored at least 62 papers between 2003 and 2024.

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Bibliography

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

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

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

Visual Analytics for Efficient Image Exploration and User-Guided Image Captioning.
CoRR, 2023

Multitask Learning for Time Series Data with 2D Convolution.
CoRR, 2023

Revealing the Power of Spatial-Temporal Masked Autoencoders in Multivariate Time Series Forecasting.
CoRR, 2023

Visual Analytics For Machine Learning: A Data Perspective Survey.
CoRR, 2023

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

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

Dynamic Graph Node Classification via Time Augmentation.
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
How Does Adversarial Fine-Tuning Benefit BERT?
CoRR, 2021

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

Mining Anomalies in Subspaces of High-Dimensional Time Series for Financial Transactional Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 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

Constrained Non-Affine Alignment of Embeddings.
Proceedings of the IEEE International Conference on Data Mining, 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
Multi-stream RNN for Merchant Transaction Prediction.
CoRR, 2020

DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Multi-future Merchant Transaction Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

Towards a Flexible Embedding Learning Framework.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

How Can Self-Attention Networks Recognize Dyck-n Languages?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Magellan: A Personalized Travel Recommendation System Using Transaction Data.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 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
DeepVID: Deep Visual Interpretation and Diagnosis for Image Classifiers via Knowledge Distillation.
IEEE Trans. Vis. Comput. Graph., 2019

Feature Detection and Attenuation in Embeddings.
CoRR, 2019

Pcard: Personalized Restaurants Recommendation from Card Payment Transaction Records.
Proceedings of the World Wide Web Conference, 2019

Invulnerability Analysis of Power Distribution Network Based on Topology Structure.
Proceedings of the 6th International Conference on Systems and Informatics, 2019

2018
Dynamic Graph Representation Learning via Self-Attention Networks.
CoRR, 2018

2015
Pruning redundant synthesis units based on static and delta unit appearance frequency.
Proceedings of the INTERSPEECH 2015, 2015

2009
Recent improvements of Probability Based Prosody Models for Unit Selection in concatenative Text-to-Speech.
Proceedings of the IEEE International Conference on Acoustics, 2009

2007
Statistical vowelization of Arabic text for speech synthesis in speech-to-speech translation systems.
Proceedings of the INTERSPEECH 2007, 2007

2006
Integrating Text and phonetic Information for Robust Statistical speech Translation.
Proceedings of the 2006 IEEE ACL Spoken Language Technology Workshop, 2006

2005
Grapheme-to-phoneme conversion based on TBL algorithm in Mandarin TTS system.
Proceedings of the INTERSPEECH 2005, 2005

Prosody Analysis and Modeling for Emotional Speech Synthesis.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Grapheme-to-Phoneme Conversion Based on a Fast TBL Algorithm in Mandarin TTS Systems.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

2004
Automatic detection of Chinese accent-index based on approximation-ratio.
Proceedings of the 2004 International Symposium on Chinese Spoken Language Processing, 2004

Mutual-information based segment pre-selection in concatenative text-to-speech.
Proceedings of the INTERSPEECH 2004, 2004

Probability based prosody model for unit selection.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003
Automatic prosody labeling using both text and acoustic information.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003


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