Wenxin Tai

Orcid: 0000-0001-7364-8324

According to our database¹, Wenxin Tai authored at least 28 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Controlled graph neural networks with denoising diffusion for anomaly detection.

[BibT_eX]

[DOI]

Expert Syst. Appl., March, 2024

Improving IP Geolocation With Target-Centric IP Graph (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Counterfactual Graph Learning for Anomaly Detection with Feature Disentanglement and Generation (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Faithful Trip Recommender Using Diffusion Guidance (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Graph Anomaly Detection with Diffusion Model-Based Graph Enhancement (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Shallow Diffusion for Fast Speech Enhancement (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Multi-Scale Dynamic Graph Learning for Time Series Anomaly Detection (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Explainable Earnings Call Representation Learning (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Interpreting Temporal Knowledge Graph Reasoning (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Improving session-based recommendation with contrastive learning.

[BibT_eX]

[DOI]

User Model. User Adapt. Interact., March, 2023

DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RIPGeo: Robust Street-Level IP Geolocation.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE International Conference on Mobile Data Management, 2023

Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

TrustGeo: Uncertainty-Aware Dynamic Graph Learning for Trustworthy IP Geolocation.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Somali Information Retrieval Corpus: Bridging the Gap between Query Translation and Dedicated Language Resources.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Towards Trustworthy Rumor Detection with Interpretable Graph Structural Learning.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Enhancing Information Diffusion Prediction with Self-Supervised Disentangled User and Cascade Representations.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Revisiting Denoising Diffusion Probabilistic Models for Speech Enhancement: Condition Collapse, Efficiency and Refinement.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Less Is More: Volatility Forecasting with Contrastive Representation Learning (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Exploring Hypergraph of Earnings Call for Risk Prediction (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Contrastive Trajectory Learning for Tour Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2022

Learning Sentimental and Financial Signals With Normalizing Flows for Stock Movement Prediction.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2022

Improving Monaural Speech Enhancement with Dynamic Scene Perception Module.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

A Repetitive Spectrum Learning Framework for Monaural Speech Enhancement in Extremely Low SNR Environments (Student Abstract).

[BibT_eX]

[DOI]

Wenxin Tai

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

IDANet: An Information Distillation and Aggregation Network for Speech Enhancement.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2021

Foster Strengths and Circumvent Weaknesses: a Speech Enhancement Framework with Two-branch Collaborative Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Improved Speech Separation with Time-and-Frequency Cross-Domain Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

2020

Deep Attractor with Convolutional Network for Monaural Speech Separation.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE Annual Ubiquitous Computing, 2020

Wenxin Tai

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...