Chengwei Su

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 17

Top Topics

Transfer Learning

General Knowledge

Language Understanding

Top Venues

NAACL-HLT (Industry Papers)

Publications

Jooyoung Lee, Fan Yang, Thanh Tran, Qian Hu, Emre Barut, Kai-Wei Chang, Chengwei Su
Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought. CoRR (2024)
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
Visual Item Selection With Voice Assistants: A systems perspective. WWW (Companion Volume) (2023)
Prashan Wanigasekara, Nalin Gupta, Fan Yang, Emre Barut, Zeynab Raeesy, Kechen Qin, Stephen Rawls, Xinyue Liu, Chengwei Su, Spurthi Sandiri
Multimodal Context Carryover. EMNLP (Industry Track) (2022)
Prashan Wanigasekara, Kechen Qin, Emre Barut, Yang Fan, Weitong Ruan, Chengwei Su
Semantic VL-BERT: Visual Grounding via Attribute Learning. IJCNN (2022)
Tzu-Hsiang Lin, Yipeng Shi, Chentao Ye, Yang Fan, Weitong Ruan, Emre Barut, Wael Hamza, Chengwei Su
Contextual Domain Classification with Temporal Representations. NAACL-HLT (Industry Papers) (2021)
Xinyue Liu, Mingda Li, Luoxin Chen, Prashan Wanigasekara, Weitong Ruan, Haidar Khan, Wael Hamza, Chengwei Su
ASR N-Best Fusion Nets. ICASSP (2021)
Subendhu Rongali, Beiye Liu, Liwei Cai, Konstantine Arkoudas, Chengwei Su, Wael Hamza
Exploring Transfer Learning For End-to-End Spoken Language Understanding. AAAI (2021)
Ge Yu, Emre Barut, Chengwei Su
Introducing Deep Reinforcement Learning to Nlu Ranking Tasks. ICASSP (2021)
Tong Wang, Jiangning Chen, Mohsen Malmir, Shuyan Dong, Xin He, Han Wang, Chengwei Su, Yue Liu, Yang Liu
Optimizing NLU Reranking Using Entity Resolution Signals in Multi-domain Dialog Systems. NAACL-HLT (Industry Papers) (2021)
Weitong Ruan, Yaroslav Nechaev, Luoxin Chen, Chengwei Su, Imre Kiss
Towards an ASR Error Robust Spoken Language Understanding System. INTERSPEECH (2020)
Mingda Li, Weitong Ruan, Xinyue Liu, Luca Soldaini, Wael Hamza, Chengwei Su
Improving Spoken Language Understanding By Exploiting ASR N-best Hypotheses. CoRR (2020)
Subendhu Rongali, Beiye Liu, Liwei Cai, Konstantine Arkoudas, Chengwei Su, Wael Hamza
Exploring Transfer Learning For End-to-End Spoken Language Understanding. CoRR (2020)
Mingda Li, Xinyue Liu, Weitong Ruan, Luca Soldaini, Wael Hamza, Chengwei Su
Multi-task Learning of Spoken Language Understanding by Integrating N-Best Hypotheses with Hierarchical Attention. COLING (Industry) (2020)
Chengwei Su, Renxiang Huang, Chang Liu, Tailang Yin, Bo Du
Prostate MR Image Segmentation With Self-Attention Adversarial Training Based on Wasserstein Distance. IEEE Access 7 (2019)
Chengwei Su, Rahul Gupta, Shankar Ananthakrishnan, Spyros Matsoukas
A Re-ranker Scheme for Integrating Large Scale NLU models. CoRR (2018)
Chengwei Su, Rahul Gupta, Shankar Ananthakrishnan, Spyros Matsoukas
A Re-Ranker Scheme For Integrating Large Scale NLU Models. SLT (2018)
Chengwei Su, Mark E. Borsuk
Improving Structure MCMC for Bayesian Networks through Markov Blanket Resampling. J. Mach. Learn. Res. 17 (2016)
Chengwei Su, Mark E. Borsuk, Angeline S. Andrew, Margaret R. Karagas
Incorporating prior expert knowledge in learning Bayesian networks from genetic epidemiological data. CIBCB (2014)
Chengwei Su, Angeline S. Andrew, Margaret R. Karagas, Mark E. Borsuk
Using Bayesian networks to discover relations between genes, environment, and disease. BioData Min. 6 (2013)