Xingyu Cai

Orcid: 0000-0003-1537-7161

According to our database1, Xingyu Cai authored at least 37 papers between 2015 and 2024.

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Bibliography

2024
Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models.
CoRR, 2024

2023
Massive End-to-end Models for Short Search Queries.
CoRR, 2023

FaultMorse: An automated controlled-channel attack via longest recurring sequence.
Comput. Secur., 2023

Target HRRP Length Estimation Based on Significant Energy Aggregation.
Proceedings of the IEEE International Conference on Signal Processing, 2023

Efficient Cascaded Streaming ASR System Via Frame Rate Reduction.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022
Emerging trends: General fine-tuning (gft).
Nat. Lang. Eng., 2022

Data-Driven Adaptive Simultaneous Machine Translation.
CoRR, 2022

Training on Lexical Resources.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

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

2021
EMS3: An Improved Algorithm for Finding Edit-Distance Based Motifs.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Asynchronous parallel stochastic Quasi-Newton methods.
Parallel Comput., 2021

The Role of Phonetic Units in Speech Emotion Recognition.
CoRR, 2021

Automatic recognition of suprasegmentals in speech.
CoRR, 2021

Better than BERT but Worse than Baseline.
CoRR, 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

Speech Emotion Recognition with Multi-Task Learning.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

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

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

Pause-Encoded Language Models for Recognition of Alzheimer's Disease and Emotion.
Proceedings of the IEEE International Conference on Acoustics, 2021

Decoupling Recognition and Transcription in Mandarin ASR.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020
Pauses for Detection of Alzheimer's Disease.
Frontiers Comput. Sci., 2020

Disfluencies and Fine-Tuning Pre-Trained Language Models for Detection of Alzheimer's Disease.
Proceedings of the Interspeech 2020, 2020

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

2019
Efficient Algorithms for Finding the Closest $l$l-Mers in Biological Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

DTWNet: a Dynamic Time Warping Network.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Efficient Sequential and Parallel Algorithms for Estimating Higher Order Spectra.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Adversarial Structured Neural Network Pruning.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Efficient Algorithms for Finding Edit-Distance Based Motifs.
Proceedings of the Algorithms for Computational Biology - 6th International Conference, 2019

2018
Minimotif Miner 4: a million peptide minimotifs and counting.
Nucleic Acids Res., 2018

JUMP: A Fast Deterministic Algorithm to Find the Closest Pair of Subsequences.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Efficient Approximate Algorithms for the Closest Pair Problem in High Dimensional Spaces.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Ensemble Deep TimeNet: An Ensemble Learning Approach with Deep Neural Networks for Time Series.
Proceedings of the 8th IEEE International Conference on Computational Advances in Bio and Medical Sciences, 2018

2017
Novel Exact and Approximate Algorithms for the Closest Pair Problem.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Ensemble learning algorithm for drug-target interaction prediction.
Proceedings of the 7th IEEE International Conference on Computational Advances in Bio and Medical Sciences, 2017

Novel algorithms for finding the closest l-mers in biological data.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Further results on multicarrier MFSK based underwater acoustic communications.
Phys. Commun., 2016

2015
MBDMAC: A MAC Protocol for Multi-beam Directional Antennas in Wireless Networks.
Proceedings of the 12th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2015


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