Chengwei Su

Orcid: 0000-0003-1492-723X

According to our database1, Chengwei Su authored at least 17 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought.
CoRR, 2024

2023
Visual Item Selection With Voice Assistants: A systems perspective.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

2022
Semantic VL-BERT: Visual Grounding via Attribute Learning.
Proceedings of the International Joint Conference on Neural Networks, 2022

Multimodal Context Carryover.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

2021
Optimizing NLU Reranking Using Entity Resolution Signals in Multi-domain Dialog Systems.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers, 2021

Contextual Domain Classification with Temporal Representations.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers, 2021

Introducing Deep Reinforcement Learning to Nlu Ranking Tasks.
Proceedings of the IEEE International Conference on Acoustics, 2021

ASR N-Best Fusion Nets.
Proceedings of the IEEE International Conference on Acoustics, 2021

Exploring Transfer Learning For End-to-End Spoken Language Understanding.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Improving Spoken Language Understanding By Exploiting ASR N-best Hypotheses.
CoRR, 2020

Towards an ASR Error Robust Spoken Language Understanding System.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Multi-task Learning of Spoken Language Understanding by Integrating N-Best Hypotheses with Hierarchical Attention.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Prostate MR Image Segmentation With Self-Attention Adversarial Training Based on Wasserstein Distance.
IEEE Access, 2019

2018
A Re-Ranker Scheme For Integrating Large Scale NLU Models.
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

2016
Improving Structure MCMC for Bayesian Networks through Markov Blanket Resampling.
J. Mach. Learn. Res., 2016

2014
Incorporating prior expert knowledge in learning Bayesian networks from genetic epidemiological data.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2014

2013
Using Bayesian networks to discover relations between genes, environment, and disease.
BioData Min., 2013


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