Jiaji Huang

Orcid: 0009-0006-4033-4795

According to our database1, Jiaji Huang authored at least 35 papers between 2012 and 2024.

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Bibliography

2024
Inference Optimization of Foundation Models on AI Accelerators.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2022
Data-Driven Adaptive Simultaneous Machine Translation.
CoRR, 2022

W-CTC: a Connectionist Temporal Classification Loss with Wild Cards.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Better than BERT but Worse than Baseline.
CoRR, 2021

Exploiting a Zoo of Checkpoints for Unseen Tasks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On Attention Redundancy: A Comprehensive Study.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

SSPF: a Simple and Scalable Parameter Free Clustering Method.
Proceedings of the 2021 International Conference on Data Mining, 2021

DiffWave: A Versatile Diffusion Model for Audio Synthesis.
Proceedings of the 9th International Conference on Learning Representations, 2021

Isotropy in the Contextual Embedding Space: Clusters and Manifolds.
Proceedings of the 9th International Conference on Learning Representations, 2021

Exploring Long Tail Visual Relationship Recognition with Large Vocabulary.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Large Margin Training Improves Language Models for ASR.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Long-tail Visual Relationship Recognition with a Visiolinguistic Hubless Loss.
CoRR, 2020

Disfluencies and Fine-Tuning Pre-Trained Language Models for Detection of Alzheimer's Disease.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Improving Bilingual Lexicon Induction for Low Frequency Words.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Language Modeling at Scale.
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Hubless Nearest Neighbor Search for Bilingual Lexicon Induction.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Large Margin Neural Language Model.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

LDMNet: Low Dimensional Manifold Regularized Neural Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Topic Compositional Neural Language Model.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Reducing Bias in Production Speech Models.
CoRR, 2017

2016
Learning from Geometry.
PhD thesis, 2016

The Role of Principal Angles in Subspace Classification.
IEEE Trans. Signal Process., 2016

Active Learning for Speech Recognition: the Power of Gradients.
CoRR, 2016

2015
Signal Recovery and System Calibration from Multiple Compressive Poisson Measurements.
SIAM J. Imaging Sci., 2015

Latent Space Tracking from Heterogeneous Data with an Application for Anomaly Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Discriminative Robust Transformation Learning.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

A concentration-of-measure inequality for multiple-measurement models.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Geometry-Aware Deep Transform.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Polynomial-phase signal direction-finding and source-tracking with a single acoustic vector sensor.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Collaborative compressive X-ray image reconstruction.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Multi-scale Bayesian reconstruction of compressive X-ray image.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Alignment with intra-class structure can improve classification.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2013
Change-Point Detection for High-Dimensional Time Series With Missing Data.
IEEE J. Sel. Top. Signal Process., 2013

2012
Changepoint detection for high-dimensional time series with missing data
CoRR, 2012

Multiscale online tracking of manifolds.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012


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