Chengwei Su - RankMe

19 papers A* 1A 1B 1C 1Misc 2Journal 7Unranked 6

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