diff --git a/website/docs/Research.md b/website/docs/Research.md
index 07d942244..1f78cf7ca 100644
--- a/website/docs/Research.md
+++ b/website/docs/Research.md
@@ -14,9 +14,80 @@ For technical details, please check our research publications.
 ```
 
 * [Frugal Optimization for Cost-related Hyperparameters](https://arxiv.org/abs/2005.01571). Qingyun Wu, Chi Wang, Silu Huang. AAAI 2021.
+
+```bibtex
+@inproceedings{wu2021cfo,
+    title={Frugal Optimization for Cost-related Hyperparameters},
+    author={Qingyun Wu and Chi Wang and Silu Huang},
+    year={2021},
+    booktitle={AAAI},
+}
+```
+
 * [Economical Hyperparameter Optimization With Blended Search Strategy](https://www.microsoft.com/en-us/research/publication/economical-hyperparameter-optimization-with-blended-search-strategy/). Chi Wang, Qingyun Wu, Silu Huang, Amin Saied. ICLR 2021.
+
+```bibtex
+@inproceedings{wang2021blendsearch,
+    title={Economical Hyperparameter Optimization With Blended Search Strategy},
+    author={Chi Wang and Qingyun Wu and Silu Huang and Amin Saied},
+    year={2021},
+    booktitle={ICLR},
+}
+```
+
 * [An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models](https://aclanthology.org/2021.acl-long.178.pdf). Susan Xueqing Liu, Chi Wang. ACL 2021.
+
+```bibtex
+@inproceedings{liuwang2021hpolm,
+    title={An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models},
+    author={Susan Xueqing Liu and Chi Wang},
+    year={2021},
+    booktitle={ACL},
+}
+```
+
 * [ChaCha for Online AutoML](https://www.microsoft.com/en-us/research/publication/chacha-for-online-automl/). Qingyun Wu, Chi Wang, John Langford, Paul Mineiro and Marco Rossi. ICML 2021.
+
+```bibtex
+@inproceedings{wu2021chacha,
+    title={ChaCha for Online AutoML},
+    author={Qingyun Wu and Chi Wang and John Langford and Paul Mineiro and Marco Rossi},
+    year={2021},
+    booktitle={ICML},
+}
+```
+
 * [Fair AutoML](https://arxiv.org/abs/2111.06495). Qingyun Wu, Chi Wang. ArXiv preprint arXiv:2111.06495 (2021).
+
+```bibtex
+@inproceedings{wuwang2021fairautoml,
+    title={Fair AutoML},
+    author={Qingyun Wu and Chi Wang},
+    year={2021},
+    booktitle={ArXiv preprint arXiv:2111.06495},
+}
+```
+
 * [Mining Robust Default Configurations for Resource-constrained AutoML](https://arxiv.org/abs/2202.09927). Moe Kayali, Chi Wang. ArXiv preprint arXiv:2202.09927 (2022).
+
+```bibtex
+@inproceedings{kayaliwang2022default,
+    title={Mining Robust Default Configurations for Resource-constrained AutoML},
+    author={Moe Kayali and Chi Wang},
+    year={2022},
+    booktitle={ArXiv preprint arXiv:2202.09927},
+}
+```
+
 * [Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives](https://openreview.net/forum?id=0Ij9_q567Ma). Shaokun Zhang, Feiran Jia, Chi Wang, Qingyun Wu. ICLR 2023 (notable-top-5%).
+
+```bibtex
+@inproceedings{
+zhang2023targeted,
+title={Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives},
+author={Shaokun Zhang and Feiran Jia and Chi Wang and Qingyun Wu},
+booktitle={International Conference on Learning Representations},
+year={2023},
+url={https://openreview.net/forum?id=0Ij9_q567Ma}
+}
+```
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