My research on business analytics and NLP are published in major business-discipline journals and major NLP/AI conferences and journals.
Business-discipline Journals:
Identifying Market Structure: A Deep Network Representation Learning of Social Engagement.
Yi Yang, Kunpeng Zhang and P.K. Kannan
Journal of Marketing. Conditionally Accepted.
Analyzing Firm Reports for Volatility Prediction: A Knowledge-driven Text Embedding Approach.
Yi Yang, Kunpeng Zhang and YangYang Fan
INFORMS Journal on Computing. Accepted.
Unifying Online and Offline Preference for Social Link Prediction.
Fan Zhou, Bangying Wu, Kunpeng Zhang, Yi Yang, and Harry Wang
INFORMS Journal on Computing. Forthcoming.
NLP/AI Conferences and Journals:
Rumor Detection on Social Media with Event Augmentations
Zhenyu He, Ce Li, Fan Zhou and Yi Yang
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR). 2021.
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification
Linyi Yang, Eoin Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth and Ruihai Dong
International Conference on Computational Linguistics (COLING). 2020.
FinBERT: A Pretrained Language Model for Financial Communications [Link]
Yi Yang, Mark Christopher Siy UY, Allen Huang
Interpreting Twitter User Geolocation
Ting Zhong, Tianliang Wang, Fan Zhou, Goce Trajcevski, Kunpeng Zhang and Yi Yang
Annual Meeting of the Association for Computational Linguistics (ACL). 2020.
Interpretable Operational Risk Classification with Semi-supervised Variational Autoencoder
Fan Zhou, Shengming Zhang and Yi Yang
Annual Meeting of the Association for Computational Linguistics (ACL). 2020.
Neural Topic Model with Attention for Supervised Learning.
Xinyi Wang, and Yi Yang.
International Conference on Artificial Intelligence and Statistics (AISTATS). 2020.
What You Say and How You Say It Matters: Predicting Stock Volatility Using Verbal and Vocal Cues.
Yu Qin, and Yi Yang.
Annual Meeting of the Association for Computational Linguistics (ACL). 2019.
Vec2Link: Unifying heterogeneous data for social link prediction.
Fan Zhou, Bangying Wu, Yi Yang, Goce Trajcevski, Kunpeng Zhang, and Ting Zhong.
International Conference on Information and Knowledge Management (CIKM). 2018.
Improving Topic Model Stability for Effective Document Exploration.
Yi Yang, Shimei Pan, Yangqiu Song, Jie Lu, Mercan Topkara.
International Joint Conference on Artificial Intelligence (IJCAI). 2016.
The Stability and Usability of Statistical Topic Models.
Yi Yang, Shimei Pan, Jie Lu, Mercan Topkara and Yangqiu Song.
ACM Transactions on Interactive Intelligent Systems (TiiS). 2016.
Beating the artificial chaos: Fighting OSN spam using its own templates
Tiantian Zhu, Hongyu Gao, Yi Yang, Kai Bu, Yan Chen, Doug Downey, Kathy Lee and Alok Choudhary.
IEEE/ACM Transactions on Networking. 2016
Efficient Algorithm for Incorporating Knowledge into Topic Models.
Yi Yang, Doug Downey, Jordan Boyd-Graber.
Conference on Empirical Methods in Natural Language Processing (EMNLP). 2015.
Efficient Methods for Inferring Large Sparse Topic Hierarchies
Doug Downey, Chandra Sekhar Bhagavatula, Yi Yang.
Annual Meeting of the Association for Computational Linguistics (ACL). 2015.
User-directed Non-disruptive Topic Model Update for Effective Exploration of Dynamic Content.
Yi Yang, Shimei Pan, Yangqiu Song, Jie Lu, and Mercan Topkara.
International Conference on Intelligent User Interfaces (IUI). 2015.
★Honorable Mention Award.
Incorporating User Input with Topic Modeling.
Yi Yang, Shimei Pan, Jie Lu, Mercan Topkara, and Doug Downey.
Workshop on Interactive Mining for Big Data. 2014.
Spam ain’t as Diverse as It Seems: Throttling OSN Spam with Templates Underneath.
Hongyu Gao, Yi Yang, Kai Bu, Yan Chen, Doug Downey, Kathy Lee and Alok Choudhary.
Annual Computer Security Applications Conference (ACSAC). 2014.
Active Learning with Constrained Topic Model.
Yi Yang, Shimei Pan, Doug Downey and Kunpeng Zhang.
Workshop on Interactive Language Learning, Visualization, and Interfaces. 2014.
A Systematic Framework for Sentiment Identification by Modeling User Social Effects.
Kunpeng Zhang, Yi Yang, Aaron Sun, Hengchang Liu.
International Conference on Web Intelligence (WI). 2014.
Incorporating Conditional Random Fields and Active Learning to Improve Sentiment Identification.
Zhang, Yusheng Xie, Yi Yang, Aaron Sun, Hengchang Liu, Alok Choudhary.
Neural Networks Journal. 2014.
Learning Representations for Weakly Supervised Natural Language Processing Tasks.
Fei Huang, Arun Ahuja, Doug Downey, Yi Yang, Yuhong Guo, and Alexander Yates.
Computational Linguistics Journal. 2014.
Overcoming the Memory Bottleneck in Distributed Training of Latent Variable Models of Text.
Yi Yang, Doug Downey and Alexander Yates.
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL). 2013.