Yachuan Liu

According to our database, Yachuan Liu authored at least 11 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

PADER: Paillier-based Secure Decentralized Social Recommendation.

Chaochao Chen, Jiaming Qian, Fei Zheng, Yachuan Liu

CoRR, January, 2026

ExAnte: A Benchmark for Ex-Ante Inference in Large Language Models.

Yachuan Liu, Xiaochun Wei, Lin Shi, Xinnuo Li, Bohan Zhang, Paramveer Dhillon, Qiaozhu Mei

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

MontePrep: Monte-Carlo-Driven Automatic Data Preparation without Target Data Instances.

Congcong Ge, Yachuan Liu, Yixuan Tang, Yifan Zhu, Yaofeng Tu, Yunjun Gao

CoRR, September, 2025

Text-to-Pipeline: Bridging Natural Language and Data Preparation Pipelines.

Yuhang Ge, Yachuan Liu, Yuren Mao, Yunjun Gao

CoRR, May, 2025

Leveraging Group-Level Signals for Robust Many-Domain Generalization.

Bohan Zhang, Yachuan Liu, Qiaozhu Mei, Paramveer S. Dhillon

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

2024

Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions.

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

CoRR, 2024

PM2.5 forecasting under distribution shift: A graph learning approach.

Yachuan Liu, Jiaqi Ma, Paramveer Dhillon, Qiaozhu Mei

AI Open, 2024

2023

Sleep Classification With Artificial Synthetic Imaging Data Using Convolutional Neural Networks.

Lan Shi, Marianthie Wank, Yan Chen, Yibo Wang, Yachuan Liu, Emily C. Hector, Peter X. K. Song

IEEE J. Biomed. Health Informatics, 2023

Meta Semantic Template for Evaluation of Large Language Models.

Yachuan Liu, Liang Chen, Jindong Wang, Qiaozhu Mei, Xing Xie

CoRR, 2023

Ranking & Reweighting Improves Group Distributional Robustness.

Yachuan Liu, Bohan Zhang, Qiaozhu Mei, Paramveer Dhillon

CoRR, 2023

2019

Predicting temporal propagation of seasonal influenza using improved gaussian process model.

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

J. Biomed. Informatics, 2019