Hong Wang


I'm an Applied Scientist at Amazon AWS Connect. I obtained my Ph.D. in Computer Science at UC Santa Barbara, advised by Prof. Xifeng Yan. Before this, I obtained my Bachelor's degree in Computer Science at Nanjing University in 2018. My research interests lie in Natural Language Processing and Deep Learning, with a specific focus on information retrieval, dialogue systems, and large language models. I'm passionate about exploring innovative ideas to advance NLP applications and make a positive impact on people's lives. During my free time, I love exploring new places, experiencing different cultures, and meeting new friends!

Email: wangh.gm@gmail.com
[GitHub]   [Google Scholar]   [CV]

Publications


Limitations of Language Models in Arithmetic and Symbolic Induction
Jing Qian*, Hong Wang*, Zekun Li, Shiyang Li, Xifeng Yan
in Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023)

Dialogic: Controllable Dialogue Simulation with In-Context Learning
Zekun Li, Wenhu Chen, Shiyang Li, Hong Wang, Jing Qian, Xifeng Yan
In Findings of the Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP 2022)

Making Something out of Nothing: Building Robust Task-oriented Dialogue Systems from Scratch
Zekun Li*, Hong Wang*, Alon Albalak, Yingrui Yang, Jing Qian, Shiyang Li, Xifeng Yan
in Proceedings of Alexa Prize TaskBot (Alexa Prize 2021)

Lifelong Learning of Hate Speech Classification on Social Media
Jing Qian, Hong Wang, Mai ElSherief, Xifeng Yan
in Proceedings of 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2021)

Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering
Wenhan Xiong*, Hong Wang*, William Yang Wang
in Proceedings of the 16th conference of the European Chapter of the Association for Computational Linguistics (EACL 2021)

HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data
Wenhu Chen, Hanwen Zha, Zhiyu Chen, Wenhan Xiong, Hong Wang, William Wang
In Findings of the Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP 2020)

TabFact: A Large-scale Dataset for Table-based Fact Verification
Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou and William Yang Wang
In Proceedings of the 8th International Conference on Learning Representations (ICLR 2020)

Self-Supervised Learning for Contextualized Extractive Summarization
Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang and William Wang
in Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019)

TweetQA: A Social Media Focused Question Answering Dataset
Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Xiaoxiao Guo, Shiyu Chang and William Wang
in Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019)

Sentence Embedding Alignment for Lifelong Relation Extraction
Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang and William Wang
in Proceedings of the 17th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019)

Noisy derivative-free optimization with value suppression
Hong Wang, Hong Qian and Yang Yu
in Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI 2018)

Experience


Alexa Prize SocialBot Grand Challenge
    Team Lead, supervised by Prof. Xifeng Yan
    Sep. 2022 - June 2023

Amazon Alexa, Wakeword Group
    Applied Scientist Intern, supervised by Gengshen Fu and Rajath Kumar
    June 2022 - Sep. 2022

Alexa Prize TaskBot Challenge
    Team Lead, supervised by Prof. Xifeng Yan
    Sep. 2021 - June 2022

Amazon Alexa, Wakeword Group
    Applied Scientist Intern, supervised by Gengshen Fu and Bo Xiao
    June 2021 - Sep. 2021

Facebook AI, Language and Translation Technologies (LATTE) Group
    Research Intern, supervised by Ves Stoyanov
    June 2020 - Sep. 2020

Microsoft Research Asia, Machine Learning Group
    Software Engineer Intern, supervised by Tao Qin
    Oct. 2017 - Jan. 2018

LAMDA Group
    Research Assistant, supervised by Prof. Yang Yu
    Sep. 2016 - Jun. 2018

Awards


Chancellor's Fellowship, UC Santa Barbara, 2018, 2020, 2022
Outstanding Undergraduate Award, Nanjing University, 2018
Excellent Bachelor Thesis Award, Nanjing University, 2018
National Scholarship, Ministry of Education, China, 2016 - 2017
National Endeavor Scholarship, Ministry of Education, China, 2014 - 2016

Services


Reviewer: EMNLP (2019, 2020, 2022), AAAI (2020, 2021), ACL (2020, 2021, 2023), AACL (2020), EACL (2021, 2023), NAACL (2021), NLPCC (2021), NeurIPS (2021, 2022), ICLR (2022), LREC (2022), ICML (2022, 2023), KDD (2023)