Wei Zhang
Orcid: 0009-0001-7984-7241Affiliations:
- 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 73 papers
between 2003 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Vis. Comput. Graph., December, 2024
IEEE Trans. Vis. Comput. Graph., June, 2024
VERB: Visualizing and Interpreting Bias Mitigation Techniques Geometrically for Word Representations.
ACM Trans. Interact. Intell. Syst., March, 2024
Preserving Individuality while Following the Crowd: Understanding the Role of User Taste and Crowd Wisdom in Online Product Rating Prediction.
CoRR, 2024
MOOSS: Mask-Enhanced Temporal Contrastive Learning for Smooth State Evolution in Visual Reinforcement Learning.
CoRR, 2024
CoRR, 2024
Analysis of Causal and Non-Causal Convolution Networks for Time Series Classification.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
Proceedings of the 17th IEEE Pacific Visualization Conference, 2024
RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
IEEE Trans. Vis. Comput. Graph., June, 2023
IEEE Trans. Vis. Comput. Graph., 2023
Lindorm TSDB: A Cloud-native Time-series Database for Large-scale Monitoring Systems.
Proc. VLDB Endow., 2023
Compressing and interpreting word embeddings with latent space regularization and interactive semantics probing.
Inf. Vis., 2023
Revealing the Power of Spatial-Temporal Masked Autoencoders in Multivariate Time Series Forecasting.
CoRR, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023
Proceedings of the 16th IEEE Pacific Visualization Symposium, 2023
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
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
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
Proceedings of the IEEE International Conference on Big Data, 2023
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
Proceedings of the IEEE International Conference on Big Data, 2023
2022
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
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the IEEE International Conference on Knowledge Graph, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track), 2022
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
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
Proceedings of the 14th IEEE Pacific Visualization Symposium, 2021
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
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020
Proceedings of the 20th International Conference on Data Mining Workshops, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
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
Pcard: Personalized Restaurants Recommendation from Card Payment Transaction Records.
Proceedings of the World Wide Web Conference, 2019
Proceedings of the 6th International Conference on Systems and Informatics, 2019
2018
2015
Pruning redundant synthesis units based on static and delta unit appearance frequency.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 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 8th Annual Conference of the International Speech Communication Association, 2007
2006
Proceedings of the 2006 IEEE ACL Spoken Language Technology Workshop, 2006
2005
Proceedings of the 9th European Conference on Speech Communication and Technology, 2005
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
Proceedings of the 2004 International Symposium on Chinese Spoken Language Processing, 2004
Proceedings of the 8th International Conference on Spoken Language Processing, 2004
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
2003
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003