Jiancong Xie

Orcid: 0000-0001-9030-0709

According to our database1, Jiancong Xie authored at least 17 papers between 2007 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
TripK <sub> <i>a</i> </sub> : Accurate and Scalable Acid-Base Dissociation Property Prediction via Triplet Interaction Networks and Physical Knowledge.
J. Chem. Inf. Model., 2026

DAMPE: Fusing intrinsic and extrinsic information for protein function prediction.
Inf. Fusion, 2026

Informative Subgraph Extraction with Deep Reinforcement Learning for Drug-Drug Interaction Prediction.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

De Novo Molecular Generation from Mass Spectra via Many-Body Enhanced Diffusion.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
A Novel Framework for Multi-Modal Protein Representation Learning.
CoRR, October, 2025

OIG-Bench: A Multi-Agent Annotated Benchmark for Multimodal One-Image Guides Understanding.
CoRR, October, 2025

A 3D pocket-aware lead optimization model with knowledge guidance and its application for discovery of new glutaminyl cyclase inhibitors.
Briefings Bioinform., July, 2025

Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Molecular Graph Learning.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Multi-modal Contrastive Learning with Negative Sampling Calibration for Phenotypic Drug Discovery.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Interpretably Predicting Chemical Perturbation via Biologically Informed Visible Neural Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024
Predicting disease-gene associations through self-supervised mutual infomax graph convolution network.
Comput. Biol. Medicine, March, 2024

From intuition to AI: evolution of small molecule representations in drug discovery.
Briefings Bioinform., January, 2024

Self-Supervised Contrastive Molecular Representation Learning with a Chemical Synthesis Knowledge Graph.
J. Chem. Inf. Model., 2024

Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Graph Neural Networks.
CoRR, 2024

Interpretable Drug Response Prediction through Molecule Structure-aware and Knowledge-Guided Visible Neural Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Fast and accurate protein function prediction from sequence through pretrained language model and homology-based label diffusion.
Briefings Bioinform., May, 2023

2007
RAM Grid Middleware for Autonomic Cooperative Caching.
Proceedings of the Grid and Cooperative Computing, 2007


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