Xiaohan Yi

According to our database, Xiaohan Yi authored at least 13 papers between 2016 and 2026.

Collaborative distances:

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

2026

CrystalDiT: Simple Diffusion Transformers for Crystal Generation.

Xiaohan Yi, Guikun Xu, Zhong Zhang, Liu Liu, Yatao Bian, Xi Xiao, Peilin Zhao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Energy-Guided Flow Matching Enables Few-Step Conformer Generation and Ground-State Identification.

Guikun Xu, Xiaohan Yi, Peilin Zhao, Yatao Bian

CoRR, December, 2025

CrystalDiT: A Diffusion Transformer for Crystal Generation.

Xiaohan Yi, Guikun Xu, Xi Xiao, Zhong Zhang, Liu Liu, Yatao Bian, Peilin Zhao

CoRR, August, 2025

PIG-Nav: Key Insights for Pretrained Image Goal Navigation Models.

Jiansong Wan, Chengming Zhou, Jinkua Liu, Xiangge Huang, Xiaoyu Chen, Xiaohan Yi, Qisen Yang, Baiting Zhu, Xin-Qiang Cai, Lixing Liu, Rushuai Yang, Chuheng Zhang, Sherif Abdelfattah, Hayong Shin, Pushi Zhang, Li Zhao, Jiang Bian

CoRR, July, 2025

UniGraspTransformer: Simplified Policy Distillation for Scalable Dexterous Robotic Grasping.

Wenbo Wang, Fangyun Wei, Lei Zhou, Xi Chen, Lin Luo, Xiaohan Yi, Yizhong Zhang, Yaobo Liang, Chang Xu, Yan Lu, Jiaolong Yang, Baining Guo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2022

Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures.

Tianping Zhang, Yizhuo Zhang, Wei Cao, Jiang Bian, Xiaohan Yi, Shun Zheng, Jian Li

CoRR, 2022

DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting.

Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, Tie-Yan Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

2018

Understanding Markush Structures in Chemistry Documents With Deep Learning.

Penghui Sun, Xiaoqing Lyu, Xin Li, Bei Wang, Xiaohan Yi, Zhi Tang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

CNN Based Page Object Detection in Document Images.

Xiaohan Yi, Liangcai Gao, Yuan Liao, Xiaode Zhang, Runtao Liu, Zhuoren Jiang

Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

A Deep Learning-Based Formula Detection Method for PDF Documents.

Liangcai Gao, Xiaohan Yi, Yuan Liao, Zhuoren Jiang, Zuoyu Yan, Zhi Tang

Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

ICDAR2017 Competition on Page Object Detection.

Liangcai Gao, Xiaohan Yi, Zhuoren Jiang, Leipeng Hao, Zhi Tang

Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

2016

A Mathematical Information Retrieval System Based on RankBoost.

Ke Yuan, Liangcai Gao, Yuehan Wang, Xiaohan Yi, Zhi Tang

Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries, 2016

A Table Detection Method for PDF Documents Based on Convolutional Neural Networks.

Leipeng Hao, Liangcai Gao, Xiaohan Yi, Zhi Tang

Proceedings of the 12th IAPR Workshop on Document Analysis Systems, 2016