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ORCIDYachuan Liu
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2020 – today
- 2024
[j3]Yachuan Liu, Jiaqi Ma, Paramveer Dhillon, Qiaozhu Mei:
PM2.5 forecasting under distribution shift: A graph learning approach. AI Open 5: 23-29 (2024)- [i3]Hua Shen, Tiffany Knearem, Reshmi Ghosh, Kenan Alkiek, Kundan Krishna, Yachuan Liu, Ziqiao Ma, Savvas Petridis, Yi-Hao Peng, Li Qiwei, Sushrita Rakshit, Chenglei Si, Yutong Xie, Jeffrey P. Bigham, Frank Bentley, Joyce Chai, Zachary C. Lipton, Qiaozhu Mei, Rada Mihalcea, Michael Terry, Diyi Yang, Meredith Ringel Morris, Paul Resnick, David Jurgens:
Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions. CoRR abs/2406.09264 (2024) - 2023
- [j2]Lan Shi
, Marianthie Wank, Yan Chen, Yibo Wang, Yachuan Liu, Emily C. Hector, Peter X. K. Song:
Sleep Classification With Artificial Synthetic Imaging Data Using Convolutional Neural Networks. IEEE J. Biomed. Health Informatics 27(1): 421-432 (2023) - [i2]Yachuan Liu, Bohan Zhang, Qiaozhu Mei, Paramveer Dhillon:
Ranking & Reweighting Improves Group Distributional Robustness. CoRR abs/2305.05759 (2023) - [i1]Yachuan Liu, Liang Chen, Jindong Wang, Qiaozhu Mei, Xing Xie:
Meta Semantic Template for Evaluation of Large Language Models. CoRR abs/2310.01448 (2023)
2010 – 2019
- 2019
- [j1]Shanen Chen, Jian Xu, Yongsheng Wu, Xin Wang, Shisong Fang, Jinquan Cheng, Hanwu Ma, Ren-li Zhang, Yachuan Liu, Li Zhang, Xi Zhang, Lili Chen, Xiaojian Liu:
Predicting temporal propagation of seasonal influenza using improved gaussian process model. J. Biomed. Informatics 93 (2019)
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