Guojiang Zhao

According to our database, Guojiang Zhao authored at least 23 papers between 2022 and 2026.

Collaborative distances:

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

2026

ProtoCycle: Reflective Tool-Augmented Planning for Text-Guided Protein Design.

Yutang Ge, Guojiang Zhao, Sihang Li, Zheng Cheng, Zifeng Zhao, Hanchen Xia, Guolin Ke, Linfeng Zhang, Zhifeng Gao, Yuguang Wang

CoRR, April, 2026

SpecXMaster Technical Report.

Yutang Ge, Yaning Cui, Hanzheng Li, Jun-Jie Wang, Fanjie Xu, Jinhan Dong, Yong-Jin Liu, Dongxu Cui, Peng Jin, Guojiang Zhao, Hengxing Cai, Rong Zhu, Linfeng Zhang, Xiaohong Ji, Zhifeng Gao

CoRR, March, 2026

Latent Poincaré Shaping for Agentic Reinforcement Learning.

Hanchen Xia, Baoyou Chen, Zelin Zang, Yutang Ge, Guojiang Zhao, Siyu Zhu

CoRR, February, 2026

ReGuLaR: Variational Latent Reasoning Guided by Rendered Chain-of-Thought.

Fanmeng Wang, Haotian Liu, Guojiang Zhao, Hongteng Xu, Zhifeng Gao

CoRR, January, 2026

Innovator-VL: A Multimodal Large Language Model for Scientific Discovery.

Zichen Wen, Boxue Yang, Shuang Chen, Yaojie Zhang, Yuhang Han, Junlong Ke, Cong Wang, Yicheng Fu, Jiawang Zhao, Jiangchao Yao, Xi Fang, Zhen Wang, Henxing Cai, Lin Yao, Zhifeng Gao, Yanhui Hong, Nang Yuan, Yixuan Li, Guojiang Zhao, Haoyi Tao, Nan Wang, Han Lyu, Guolin Ke, Ning Liao, Xiaoxing Wang, Kai Chen, Zhiyu Li, Feiyu Xiong, Sihan Hu, Kun Chen, Yanfeng Wang, Weinan E

CoRR, January, 2026

T^⋆: Progressive Block Scaling for MDM Through Trajectory Aware RL.

Hanchen Xia, Baoyou Chen, Yutang Ge, Guojiang Zhao, Siyu Zhu

CoRR, January, 2026

2025

MolReasoner: Toward Effective and Interpretable Reasoning for Molecular LLMs.

Guojiang Zhao, Sihang Li, Zixiang Lu, Zheng Cheng, Haitao Lin, Lirong Wu, Hanchen Xia, Hengxing Cai, Wentao Guo, Hongshuai Wang, Mingjun Xu, Siyu Zhu, Guolin Ke, Linfeng Zhang, Zhifeng Gao

CoRR, August, 2025

Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting.

Lirong Wu, Haitao Lin, Guojiang Zhao, Cheng Tan, Stan Z. Li

IEEE Trans. Neural Networks Learn. Syst., July, 2025

A Simple yet Effective DDG Predictor is An Unsupervised Antibody Optimizer and Explainer.

Lirong Wu, Yunfan Liu, Haitao Lin, Yufei Huang, Guojiang Zhao, Zhifeng Gao, Stan Z. Li

CoRR, February, 2025

Data-Driven Parametrization of All-Atom Force Fields for Organic Semiconductors.

Guojiang Zhao, Taiping Hu, Yingfeng Zhang, Hongshuai Wang, Lirong Wu, Shuqi Lu, Fengtianci Yang, Shangqian Chen, Zhifeng Gao, Xinyan Wang, Zheng Cheng

J. Chem. Inf. Model., 2025

A Simple yet Effective ΔΔG Predictor is An Unsupervised Antibody Optimizer and Explainer.

Lirong Wu, Yunfan Liu, Haitao Lin, Yufei Huang, Guojiang Zhao, Zhifeng Gao, Stan Z. Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph.

Haitao Lin, Guojiang Zhao, Odin Zhang, Yufei Huang, Lirong Wu, Cheng Tan, Zicheng Liu, Zhifeng Gao, Stan Z. Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

A Teacher-Free Graph Knowledge Distillation Framework With Dual Self-Distillation.

Lirong Wu, Haitao Lin, Zhangyang Gao, Guojiang Zhao, Stan Z. Li

IEEE Trans. Knowl. Data Eng., September, 2024

Intelligent System for Automated Molecular Patent Infringement Assessment.

Yaorui Shi, Sihang Li, Taiyan Zhang, Xi Fang, Jiankun Wang, Zhiyuan Liu, Guojiang Zhao, Zhengdan Zhu, Zhifeng Gao, Renxin Zhong, Linfeng Zhang, Guolin Ke, Weinan E, Hengxing Cai, Xiang Wang

CoRR, 2024

CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph.

Haitao Lin, Guojiang Zhao, Odin Zhang, Yufei Huang, Lirong Wu, Zicheng Liu, Siyuan Li, Cheng Tan, Zhifeng Gao, Stan Z. Li

CoRR, 2024

SQL-CRAFT: Text-to-SQL through Interactive Refinement and Enhanced Reasoning.

Hanchen Xia, Feng Jiang, Naihao Deng, Cunxiang Wang, Guojiang Zhao, Rada Mihalcea, Yue Zhang

CoRR, 2024

2023

Deep Clustering and Visualization for End-to-End High-Dimensional Data Analysis.

Lirong Wu, Lifan Yuan, Guojiang Zhao, Haitao Lin, Stan Z. Li

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Uni-QSAR: an Auto-ML Tool for Molecular Property Prediction.

Zhifeng Gao, Xiaohong Ji, Guojiang Zhao, Hongshuai Wang, Hang Zheng, Guolin Ke, Linfeng Zhang

CoRR, 2023

2022

Exploring Generative Neural Temporal Point Process.

Haitao Lin, Lirong Wu, Guojiang Zhao, Pai Liu, Stan Z. Li

Trans. Mach. Learn. Res., 2022

Non-equispaced Fourier Neural Solvers for PDEs.

Haitao Lin, Lirong Wu, Yongjie Xu, Yufei Huang, Siyuan Li, Guojiang Zhao, Stan Z. Li

CoRR, 2022

Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification.

Lirong Wu, Jun Xia, Haitao Lin, Zhangyang Gao, Zicheng Liu, Guojiang Zhao, Stan Z. Li

CoRR, 2022

STONet: A Neural-Operator-Driven Spatio-temporal Network.

Haitao Lin, Guojiang Zhao, Lirong Wu, Stan Z. Li

CoRR, 2022

Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings.

Jiangbin Zheng, Yile Wang, Ge Wang, Jun Xia, Yufei Huang, Guojiang Zhao, Yue Zhang, Stan Z. Li

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022