About
Qiyue Kang is a research engineer at Xihu Xinchen company at Hangzhou, China. His current research interests include how to train a large langeuage model (LLM), using supervised finetuning(SFT), and Reinforcement Learning (PPO). In addition, he also focuses on evaluating LLM, and accelerating the LLM inference. The main goal is to build a better Chinese LLM.
Before that, Qiyue Kang is a postdoctoral fellow at the Deep Learning Lab (DLL, homepage), Westlake University, Hangzhou, China. His supervisor is Prof. Zhenzhong Lan. After joining the DLL, he first developed a Graph Neural Network (GNN) to predict the small molecule retention time, which showed competitive capability compared to the models in the literature. In addition, he is working on some problems of Natural Language Processing (NLP), which involve multitask learning of NLP, and LLM SFT finetuning. Furthermore, he also worked on the prediction of protein mutational effects combining the pre-trained language model and graph neural network.
Qiyue Kang received his B.S. degree in chemistry from China Agricultural University in 2016. He received his Ph.D. degree in environmental geography from Peking University in 2021. His thesis was directed by Prof. Jianying Hu (homepage). The thesis is mainly about the nontarget analysis of Per- and polyfluoroalkyl substances (PFASs) and their health effects on female reproduction. PFASs are a large kind of environmental pollutes and widely used in multiple fields. His study developed a nontarget data-processing method, which merged diagnostic fragment ion and diagnostic neutral loss in data-independent acquisition (DIA) mode for the data obtained from Liquid Chromatography-High Resolution Mass Spectrometry (LC-HRMS). Using the developed method, the study identified lots of legacy and emerging PFASs. In addition, he conducted a large-scale environmental epidemiology study of PFASs, which revealed the potential health effects of PFAS on female reproduction.
📝 Publications
- Kang, Q.; Fang, P.; Zhang, S.; Qiu, H.; Lan, Z. Deep Graph Convolutional Network for Small-Molecule Retention Time Prediction. Journal of Chromatography A. 2023, 464439, ISSN 0021-9673. Article url: https://authors.elsevier.com/a/1hy7U4-ggV0Qt (https://doi.org/10.1016/j.chroma.2023.464439.)
- Kang, Q., Gao, F., Zhang, X., Wang, L., Liu, J., Fu, M., Zhang, S., Wan, Y., Shen, H., Hu, J. Nontargeted identification of per- and polyfluoroalkyl substances in human follicular fluid and their blood-follicle transfer. Environ. Int. 2020, 139, 105686.
- Kang, Q., Li, Q., Wang, L., Jia, Y., Zhang, X., Hu, J. Y. Comment on “Suspect and nontarget screening of per- and polyfluoroalkyl substances in wastewater from a fluorochemical manufacturing park”, Environ. Sci. Technol. 2021, 55, 5589–5592.
- Hu, W.#, Kang, Q.#, Zhang, C., Ma, H., Xu, C., Wan, Y., Hu, J., 2020. Triphenyl phosphate modulated saturation of phospholipids: Induction of endoplasmic reticulum stress and inflammation. Environ. Pollut. 2020, 263, 114474.
- Zhang, S., Kang, Q., Peng, H., Ding, M., Zhao, F., Zhou, Y., Dong, Z., Zhang, H., Yang, M., Tao, S., Hu, J. Relationship between perfluorooctanoate and perfluorooctane sulfonate blood concentrations in the general population and routine drinking water exposure. Environ. Int. 2019, 126, 54-60.
- Wang, L., Kang, Q., Jia, Y., Li, X., Hu, J. Identification of three novel chloroalkyl organophosphate triesters in house dust using halogenation-guided nontarget screening combined with suspect screening. Environ. Sci. Technol. 2021, 55, 2482-2490.
- Li, Y., Kang, Q., Chen, R., He, J., Liu, L., Wang, L., Hu, J. 2-Ethylhexyl diphenyl phosphate and its hydroxylated metabolites are Anti-androgenic and cause adverse reproductive outcomes in male Japanese medaka. Environ. Sci. Technol. 2020, 54, 8919-8925.
- Ding, M., Kang, Q., Zhang, S., Zhao, F., Mu, D., Zhang, H., Yang, M., Hu, J. Contribution of phthalates and phthalate monoesters from drinking water to daily intakes for the general population. Chemosphere. 2019, 229, 125-131.
- Hu, W., Jia, Y., Kang, Q., Peng, H., Ma, H., Zhang, S., Hiromori, Y., Kimura, T., Nakanishi, T., Zheng, L., Qiu, Y., Zhang, Z., Wan, Y., Hu, J. Screening of house dust from Chinese homes for chemicals with Liver X Receptors binding activities and characterization of atherosclerotic activity using an in vitro macrophage cell line and ApoE-/- mice. Environ. Health. Perspect. 2019, 127, 117003.
- Wang, L., Jia, Y., Kang, Q., Song, W., Hu, J. Nontarget discovery of 11 aryl organophosphate triesters in house dust using high-resolution mass spectrometry. Environ. Sci. Technol. 2020, 54, 11376-11385
🎖 Honors and Awards
- 2021.7 Outstanding Graduate at Peking University
- 2020.9 National Scholarship at Peking University.
- 2019.9 Guangyao Wanglaoji Scholarship at Peking University.
- 2018.9 Academic Excellence Award at Peking University
📖 Educations
- 2021.8 - now, PosDoc at Deep Learning Lab (DLL), School of Engineering, Westlake University, Hangzhou, China.
- 2016.9 - 2021.7, PhD student at College of Urban and Environmental Sciences, Peking University, Beijing, China.
- 2012.9 - 2016.7, Undergraduate at China Agricultural University, Beijing, China.