Tianyi Zhang
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A Tianyi Zhang is a person who serves as an Assistant Professor of Computer Science at Purdue University, specializing in areas such as Software Engineering, Human-Computer Interaction, Mining Software Repositories, Software Evolution, and Program Synthesis.
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- See: Automated News Summarization, BERTScore Evaluation Metric, Fine-Tuned BERT Text Classification Algorithm.
References
2024
- (Zhang, Ladhak et al., 2024) ⇒ Tianyi Zhang, Faisal Ladhak, Esin Durmus, Percy Liang, Kathleen McKeown, and Tatsunori B Hashimoto. (2024). “Benchmarking Large Language Models for News Summarization.” In: Transactions of the Association for Computational Linguistics, 12. doi:10.1162/tacl_a_00632
2022
- (Vaithilingam et al., 2022) ⇒ P. Vaithilingam, Tianyi Zhang, E.L. Glassman. (2022). "Expectation vs. experience: Evaluating the usability of code generation tools powered by large language models.” In: Chi conference on human factors in computing systems extended abstracts, 1-7.
2021
- (Bommasani et al., 2021) ⇒ Rishi Bommasani, Drew A Hudson, Ehsan Adeli, Russ Altman, ..., Michael Zhang, Tianyi Zhang, Xikun Zhang, Yuhui Zhang, Lucia Zheng, Kaitlyn Zhou, Percy Liang. (2021). “On the Opportunities and Risks of Foundation Models.” arXiv preprint arXiv:2108.07258.
2020
- (Deng et al., 2020) ⇒ Y. Deng, X. Zheng, Tianyi Zhang, C. Chen, G. Lou, M. Kim. (2020). "An analysis of adversarial attacks and defenses on autonomous driving models.” In: 2020 IEEE international conference on pervasive computing and communications.
- (Zhang, Wu et al., 2020) ⇒ [[::Tianyi Zhang]], [[::Felix Wu]], [[::Arzoo Katiyar]], [[::Kilian Q Weinberger]], and [[::Yoav Artzi]]. ([[::2020]]). “Revisiting Few-sample BERT Fine-tuning.” In: arXiv preprint arXiv:2006.05987. doi:10.48550/arXiv.2006.05987
2019
- (Zhang, Kishore et al., 2019) ⇒ [[::Tianyi Zhang]], [[::Varsha Kishore]], [[::Felix Wu]], [[::Kilian Q Weinberger]], and [[::Yoav Artzi]]. ([[::2019]]). “BERTScore: Evaluating Text Generation with BERT.” In: Proceedings in International Conference on Learning Representations (ICLR-2019).
- (Zhang, Gao et al., 2019) ⇒ Tianyi Zhang, C. Gao, L. Ma, M. Lyu, M. Kim. (2019). "An empirical study of common challenges in developing deep learning applications.” In: 2019 IEEE 30th International Symposium on Software Reliability Engineering.
2018
- (Zhang, Upadhyaya et al., 2018) ⇒ Tianyi Zhang, G. Upadhyaya, A. Reinhardt, H. Rajan, M. Kim. (2018). "Are code examples on an online q&a forum reliable? a study of API misuse on stack overflow.” In: Proceedings of the 40th international conference on software engineering.
- (Glassman et al., 2018) ⇒ E.L. Glassman, Tianyi Zhang, B. Hartmann, M. Kim. (2018). "Visualizing API usage examples at scale.” In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems.
2015
- (Zhang, Song et al., 2015) ⇒ Tianyi Zhang, M. Song, J. Pinedo, M. Kim. (2015). "Interactive code review for systematic changes.” In: 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering 1.