Yi Yang
Orcid: 0009-0002-0348-826XAffiliations:
- Hong Kong University of Science and Technology, Department of Information Systems and Operations Management, Hong Kong
- Northwestern University, Evanston, IL, USA (PhD 2015)
According to our database1,
Yi Yang
authored at least 56 papers
between 2013 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Big Data, December, 2024
Should Fairness be a Metric or a Model? A Model-based Framework for Assessing Bias in Machine Learning Pipelines.
ACM Trans. Inf. Syst., July, 2024
MIS Q., 2024
LLM-Measure: Generating Valid, Consistent, and Reproducible Text-Based Measures for Social Science Research.
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Connecting the Dots: Inferring Patent Phrase Similarity with Retrieved Phrase Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
2023
Inf. Syst. Res., March, 2023
IEEE Trans. Multim., 2023
Unlocking the Power of Voice for Financial Risk Prediction: A Theory-Driven Deep Learning Design Approach.
MIS Q., 2023
Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity.
CoRR, 2023
CoRR, 2023
InvestLM: A Large Language Model for Investment using Financial Domain Instruction Tuning.
CoRR, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Is ChatGPT a Financial Expert? Evaluating Language Models on Financial Natural Language Processing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Predict the Future from the Past? On the Temporal Data Distribution Shift in Financial Sentiment Classifications.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Debiasing Intrinsic Bias and Application Bias Jointly via Invariant Risk Minimization (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
MIS Q., 2022
Analyzing Firm Reports for Volatility Prediction: A Knowledge-Driven Text-Embedding Approach.
INFORMS J. Comput., 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
BARLE: Background-Aware Representation Learning for Background Shift Out-of-Distribution Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Buy Tesla, Sell Ford: Assessing Implicit Stock Market Preference in Pre-trained Language Models.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022
2021
INFORMS J. Comput., 2021
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Learning Numeracy: A Simple Yet Effective Number Embedding Approach Using Knowledge Graph.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
2020
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Interpretable Operational Risk Classification with Semi-Supervised Variational Autoencoder.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
What You Say and How You Say It Matters: Predicting Stock Volatility Using Verbal and Vocal Cues.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
2016
IEEE/ACM Trans. Netw., 2016
ACM Trans. Interact. Intell. Syst., 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
2015
User-directed Non-Disruptive Topic Model Update for Effective Exploration of Dynamic Content.
Proceedings of the 20th International Conference on Intelligent User Interfaces, 2015
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
2014
Incorporating conditional random fields and active learning to improve sentiment identification.
Neural Networks, 2014
Comput. Linguistics, 2014
Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014
Proceedings of the 30th Annual Computer Security Applications Conference, 2014
2013
Proceedings of the Sixth Text Analysis Conference, 2013
Overcoming the Memory Bottleneck in Distributed Training of Latent Variable Models of Text.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013