Yiqin Gao

According to our database, Yiqin Gao authored at least 37 papers between 2019 and 2026.

Collaborative distances:

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

2026

Multi-objective fluorescent molecule design with a data-physics dual-driven generative framework.

Yanheng Li, Zhichen Pu, Lijiang Yang, Zehao Zhou, Yi Qin Gao

CoRR, January, 2026

Interleaved Tool-Call Reasoning for Protein Function Understanding.

Chuanliu Fan, Zicheng Ma, Huanran Meng, Aijia Zhang, Wenjie Du, Jun Zhang, Yi Qin Gao, Ziqiang Cao, Guohong Fu

CoRR, January, 2026

Bidirectional GPT.

Chuanliu Fan, Zicheng Ma, Wenjie Du, Nan Yu, Jun Zhang, Yi Qin Gao, Ziqiang Cao, Guohong Fu

Inf. Process. Manag., 2026

2025

Graph neural network approach with spatial structure to anomaly detection of network data.

Hao Zhang, Yun Zhou, Huahu Xu, Jiangang Shi, Xinhua Lin, Yiqin Gao

J. Big Data, December, 2025

ProtTeX-CC: Activating In-Context Learning in Protein LLM via Two-Stage Instruction Compression.

Chuanliu Fan, Zicheng Ma, Jun Gao, Nan Yu, Jun Zhang, Ziqiang Cao, Yi Qin Gao, Guohong Fu

CoRR, August, 2025

ProtTeX: Structure-In-Context Reasoning and Editing of Proteins with Large Language Models.

Zicheng Ma, Chuanliu Fan, Zhicong Wang, Zhenyu Chen, Xiaohan Lin, Yanheng Li, Shihao Feng, Jun Zhang, Ziqiang Cao, Yi Qin Gao

CoRR, March, 2025

ChatMol: A Versatile Molecule Designer Based on the Numerically Enhanced Large Language Model.

Chuanliu Fan, Ziqiang Cao, Zicheng Ma, Nan Yu, Yimin Peng, Jun Zhang, Yiqin Gao, Guohong Fu

CoRR, February, 2025

Prot2Chat: Protein LLM with Early Fusion of Sequence and Structure.

Zhicong Wang, Zicheng Ma, Ziqiang Cao, Changlong Zhou, Jun Zhang, Yiqin Gao

CoRR, February, 2025

Shotgun Approach for PROTAC Ternary Complex Modeling and Evaluation.

Tanfeng Zhao, Yi Qin Gao

J. Chem. Inf. Model., 2025

Structural and Thermodynamic Insights into Competitive Binding of the EGR1 and Sp1 Zinc Finger Class of Transcription Factors with a GC-Rich DNA Motif.

Piya Patra, Yi Qin Gao

J. Chem. Inf. Model., 2025

ProtTeX: Structure-In-Context Reasoning and Editing of Proteins with Large Language Models.

Zicheng Ma, Chuanliu Fan, Zhicong Wang, Zhenyu Chen, Xiaohan Lin, Yanheng Li, Shihao Feng, Ziqiang Cao, Jun Zhang, Yi Qin Gao

J. Chem. Inf. Model., 2025

Optimized edge weighting in graph neural networks for server performance anomaly detection.

Hao Zhang, Huahu Xu, Jiangang Shi, Xinhua Lin, Yiqin Gao, Yuzhe Huang

Complex Intell. Syst., 2025

Prot2Chat: protein large language model with early fusion of text, sequence, and structure.

Zhicong Wang, Zicheng Ma, Ziqiang Cao, Changlong Zhou, Jun Zhang, Yi Qin Gao

Bioinform., 2025

LlaMol: A Unified Molecule Designer via Preference Ranking and Numerical Enhancement.

Chuanliu Fan, Zicheng Ma, Wenjie Du, Nan Yu, Jun Zhang, Ziqiang Cao, Yi Qin Gao, Guohong Fu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

Minimizing Energy Consumption for Real-Time Tasks on Heterogeneous Platforms Under Deadline and Reliability Constraints.

Yiqin Gao, Li Han, Jing Liu, Yves Robert, Frédéric Vivien

Algorithmica, October, 2024

Author Correction: Integrated structure prediction of protein-protein docking with experimental restraints using ColabDock.

Shihao Feng, Zhenyu Chen, Chengwei Zhang, Yuhao Xie, Sergey Ovchinnikov, Yi Qin Gao, Sirui Liu

Nat. Mac. Intell., 2024

Integrated structure prediction of protein-protein docking with experimental restraints using ColabDock.

Shihao Feng, Zhenyu Chen, Chengwei Zhang, Yuhao Xie, Sergey Ovchinnikov, Yi Qin Gao, Sirui Liu

Nat. Mac. Intell., 2024

DSDPFlex: Flexible-Receptor Docking with GPU Acceleration.

Chengwei Dong, Yupeng Huang, Xiaohan Lin, Hong Zhang, Yi Qin Gao

J. Chem. Inf. Model., 2024

Generating High-Precision Force Fields for Molecular Dynamics Simulations to Study Chemical Reaction Mechanisms using Molecular Configuration Transformer.

Sihao Yuan, Xu Han, Zhaoxin Xie, Cheng Fan, Yi Isaac Yang, Yi Qin Gao

CoRR, 2024

MI-GNN: Multi-Interaction GNN for Various Weak Information Learning on Graphs.

Bowen Qiang, Yun Zhou, Huahu Xu, Jiangang Shi, James Lin, Yiqin Gao

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Resource-Constrained Scheduling Algorithms for Stochastic Independent Tasks With Unknown Probability Distribution.

Yiqin Gao, Yves Robert, Frédéric Vivien

Algorithmica, August, 2023

DSDP: A Blind Docking Strategy Accelerated by GPUs.

Yupeng Huang, Hong Zhang, Siyuan Jiang, Dajiong Yue, Xiaohan Lin, Jun Zhang, Yi Qin Gao

J. Chem. Inf. Model., July, 2023

Microscopic model on indoor propagation of respiratory droplets.

Manas Mondal, Srabani Chakrabarty, Yi Qin Gao, Dhananjay Bhattacharyya, Jaydeb Chakrabarti

Comput. Biol. Chem., February, 2023

Dynamic Scheduling Strategies for Firm Semi-Periodic Real-Time Tasks.

Yiqin Gao, Guillaume Pallez, Yves Robert, Frédéric Vivien

IEEE Trans. Computers, 2023

Machine-Learned Invertible Coarse Graining for Multiscale Molecular Modeling.

Jun Zhang, Xiaohan Lin, Weinan E, Yi Qin Gao

CoRR, 2023

Recovering a Molecule's 3D Dynamics from Liquid-phase Electron Microscopy Movies.

Enze Ye, Yuhang Wang, Hong Zhang, Yiqin Gao, Huan Wang, He Sun

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Xponge: A Python package to perform pre- and post-processing of molecular simulations.

Yijie Xia, Yi Qin Gao

J. Open Source Softw., 2022

Few-Shot Learning of Accurate Folding Landscape for Protein Structure Prediction.

Jun Zhang, Sirui Liu, Mengyun Chen, Haotian Chu, Min Wang, Zidong Wang, Jialiang Yu, Ningxi Ni, Fan Yu, Diqing Chen, Yi Isaac Yang, Boxin Xue, Lijiang Yang, Yuan Liu, Yi Qin Gao

CoRR, 2022

PSP: Million-level Protein Sequence Dataset for Protein Structure Prediction.

Sirui Liu, Jun Zhang, Haotian Chu, Min Wang, Boxin Xue, Ningxi Ni, Jialiang Yu, Yuhao Xie, Zhenyu Chen, Mengyun Chen, Yuan Liu, Piya Patra, Fan Xu, Jie Chen, Zidong Wang, Lijiang Yang, Fan Yu, Lei Chen, Yi Qin Gao

CoRR, 2022

2021

Scheduling independent tasks under budget and time constraints. (Ordonnancement de tâches indépendantes sous contraintes budgédaire et temporelle).

Yiqin Gao

PhD thesis, 2021

Work-in-Progress: Evaluating Task Dropping Strategies for Overloaded Real-Time Systems.

Yiqin Gao, Guillaume Pallez, Yves Robert, Frédéric Vivien

Proceedings of the 42nd IEEE Real-Time Systems Symposium, 2021

2020

Toward an understanding of the relation between gene regulation and 3D genome organization.

Hao Tian, Ying Yang, Sirui Liu, Hui Quan, Yi Qin Gao

Quant. Biol., 2020

Molecular CT: Unifying Geometry and Representation Learning for Molecules at Different Scales.

Jun Zhang, Yaqiang Zhou, Yao-Kun Lei, Yi Isaac Yang, Yi Qin Gao

CoRR, 2020

Deep Reinforcement Learning of Transition States.

Jun Zhang, Yao-Kun Lei, Zhen Zhang, Xu Han, Maodong Li, Lijiang Yang, Yi Isaac Yang, Yi Qin Gao

CoRR, 2020

A Perspective on Deep Learning for Molecular Modeling and Simulations.

Jun Zhang, Yao-Kun Lei, Zhen Zhang, Junhan Chang, Maodong Li, Xu Han, Lijiang Yang, Yi Isaac Yang, Yi Qin Gao

CoRR, 2020

Energy-aware strategies for reliability-oriented real-time task allocation on heterogeneous platforms.

Li Han, Yiqin Gao, Jing Liu, Yves Robert, Frédéric Vivien

Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

2019

Scheduling independent stochastic tasks on heterogeneous cloud platforms.

Yiqin Gao, Louis-Claude Canon, Yves Robert, Frédéric Vivien

Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019