Chaohao Yuan

According to our database, Chaohao Yuan authored at least 15 papers between 2022 and 2026.

Collaborative distances:

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

2026

Decouple before Integration: Test-time Synthesis of SFT and RLVR Task Vectors.

Chaohao Yuan, Chenghao Xiao, Yu Rong, Hong Cheng, Long-Kai Huang

CoRR, May, 2026

Lingshu-Cell: A generative cellular world model for transcriptome modeling toward virtual cells.

Han Zhang, Guo-Hua Yuan, Chaohao Yuan, Tingyang Xu, Tian Bian, Hong Cheng, Wenbing Huang, Deli Zhao, Yu Rong

CoRR, March, 2026

Unifying structural proximity and equivalence for enhanced dynamic network embedding.

Suchanuch Piriyasatit, Chaohao Yuan, Ercan Engin Kuruoglu

Expert Syst. Appl., 2026

ParaFormer: A Generalized PageRank Graph Transformer for Graph Representation Learning.

Chaohao Yuan, Zhenjie Song, Ercan Engin Kuruoglu, Kangfei Zhao, Yang Liu, Deli Zhao, Hong Cheng, Yu Rong

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

Understanding the Behaviors of Environment-aware Information Retrieval.

Ruifeng Yuan, Chaohao Yuan, David Dai, Yu Rong, Hong Cheng, Hou Pong Chan, Chenghao Xiao

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

ParaFormer: A Generalized PageRank Graph Transformer for Graph Representation Learning.

Chaohao Yuan, Zhenjie Song, Ercan Engin Kuruoglu, Kangfei Zhao, Yang Liu, Deli Zhao, Hong Cheng, Yu Rong

CoRR, December, 2025

A Survey of Graph Transformers: Architectures, Theories and Applications.

Chaohao Yuan, Kangfei Zhao, Ercan Engin Kuruoglu, Liang Wang, Tingyang Xu, Wenbing Huang, Deli Zhao, Hong Cheng, Yu Rong

CoRR, February, 2025

Non-stationary Equivariant Graph Neural Networks for Physical Dynamics Simulation.

Chaohao Yuan, Maoji Wen, Ercan E. Kuruoglu, Yang Liu, Jia Li, Tingyang Xu, Deli Zhao, Hong Cheng, Yu Rong

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Annotation-guided Protein Design with Multi-Level Domain Alignment.

Chaohao Yuan, Songyou Li, Geyan Ye, Yikun Zhang, Long-Kai Huang, Wenbing Huang, Wei Liu, Jianhua Yao, Yu Rong

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

ASD Classification on Dynamic Brain Connectome using Temporal Random Walk with Transformer-based Dynamic Network Embedding.

Suchanuch Piriyasatit, Chaohao Yuan, Ercan Engin Kuruoglu

Proceedings of the International Joint Conference on Neural Networks, 2025

IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck.

Tian Bian, Yifan Niu, Chaohao Yuan, Chengzhi Piao, Bingzhe Wu, Long-Kai Huang, Yu Rong, Tingyang Xu, Hong Cheng, Jia Li

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Atomas: Hierarchical Adaptive Alignment on Molecule-Text for Unified Molecule Understanding and Generation.

Yikun Zhang, Geyan Ye, Chaohao Yuan, Bo Han, Long-Kai Huang, Jianhua Yao, Wei Liu, Yu Rong

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Atomas: Hierarchical Alignment on Molecule-Text for Unified Molecule Understanding and Generation.

Yikun Zhang, Geyan Ye, Chaohao Yuan, Bo Han, Long-Kai Huang, Jianhua Yao, Wei Liu, Yu Rong

CoRR, 2024

Functional Protein Design with Local Domain Alignment.

Chaohao Yuan, Songyou Li, Geyan Ye, Yikun Zhang, Long-Kai Huang, Wenbing Huang, Wei Liu, Jianhua Yao, Yu Rong

CoRR, 2024

2022

Distilling Causal Metaknowledge from Knowledge Graphs.

Yuan Meng, Yancheng Dong, Shixuan Liu, Chaohao Yuan, Yue He, Jian Pei, Peng Cui

IEEE Data Eng. Bull., 2022