Chengwei Su

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Jooyoung Lee, Fan Yang, Thanh Tran, Qian Hu, Emre Barut, Kai-Wei Chang, Chengwei Su

CoRR, 2024

2023

Visual Item Selection With Voice Assistants: A systems perspective.

Prashan Wanigasekara, Rafid Al-Humaimidi, Turan Gojayev, Niloofar Gheissari, Achal Dave, Stephen Rawls, Fan Yang, Kechen Qin, Nalin Gupta, Spurthi Sandiri, Chevanthie Dissanayake, Zeynab Raeesy, Emre Barut, Chengwei Su

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

2022

Semantic VL-BERT: Visual Grounding via Attribute Learning.

Prashan Wanigasekara, Kechen Qin, Emre Barut, Yang Fan, Weitong Ruan, Chengwei Su

Proceedings of the International Joint Conference on Neural Networks, 2022

Multimodal Context Carryover.

Prashan Wanigasekara, Nalin Gupta, Fan Yang, Emre Barut, Zeynab Raeesy, Kechen Qin, Stephen Rawls, Xinyue Liu, Chengwei Su, Spurthi Sandiri

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.

Tong Wang, Jiangning Chen, Mohsen Malmir, Shuyan Dong, Xin He, Han Wang, Chengwei Su, Yue Liu, Yang Liu

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.

Tzu-Hsiang Lin, Yipeng Shi, Chentao Ye, Yang Fan, Weitong Ruan, Emre Barut, Wael Hamza, Chengwei Su

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.

Ge Yu, Emre Barut, Chengwei Su

Proceedings of the IEEE International Conference on Acoustics, 2021

ASR N-Best Fusion Nets.

Xinyue Liu, Mingda Li, Luoxin Chen, Prashan Wanigasekara, Weitong Ruan, Haidar Khan, Wael Hamza, Chengwei Su

Proceedings of the IEEE International Conference on Acoustics, 2021

Exploring Transfer Learning For End-to-End Spoken Language Understanding.

Subendhu Rongali, Beiye Liu, Liwei Cai, Konstantine Arkoudas, Chengwei Su, Wael Hamza

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

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

Mingda Li, Weitong Ruan, Xinyue Liu, Luca Soldaini, Wael Hamza, Chengwei Su

CoRR, 2020

Towards an ASR Error Robust Spoken Language Understanding System.

Weitong Ruan, Yaroslav Nechaev, Luoxin Chen, Chengwei Su, Imre Kiss

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.

Mingda Li, Xinyue Liu, Weitong Ruan, Luca Soldaini, Wael Hamza, Chengwei Su

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Prostate MR Image Segmentation With Self-Attention Adversarial Training Based on Wasserstein Distance.

Chengwei Su, Renxiang Huang, Chang Liu, Tailang Yin, Bo Du

IEEE Access, 2019

2018

A Re-Ranker Scheme For Integrating Large Scale NLU Models.

Chengwei Su, Rahul Gupta, Shankar Ananthakrishnan, Spyros Matsoukas

Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

2016

Improving Structure MCMC for Bayesian Networks through Markov Blanket Resampling.

Chengwei Su, Mark E. Borsuk

J. Mach. Learn. Res., 2016

2014

Incorporating prior expert knowledge in learning Bayesian networks from genetic epidemiological data.

Chengwei Su, Mark E. Borsuk, Angeline S. Andrew, Margaret R. Karagas

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.

Chengwei Su, Angeline S. Andrew, Margaret R. Karagas, Mark E. Borsuk

BioData Min., 2013