Jian Tang
- Papers
- 18
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Authored papers
18Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models
arXiv 2025
Structure-Informed Protein Language Model
arXiv 2024
Unsupervised Discovery of Steerable Factors When Graph Deep Generative Models Are Entangled
arXiv 2024
A Systematic Study of Joint Representation Learning on Protein Sequences and Structures
arXiv 2023
ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts
arXiv 2023
Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling
arXiv 2023
Large Language Models can Learn Rules
arXiv 2023
Towards Foundation Models for Knowledge Graph Reasoning
arXiv 2023
A Text-guided Protein Design Framework
arXiv 2023
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
arXiv 2023
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining
arXiv 2023
Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing
arXiv 2022
PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding
arXiv 2022
FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning
arXiv 2022
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
rotate-knowledge-graph-embedding-by-1
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
arXiv 2019
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
arXiv 2018
LINE: Large-scale Information Network Embedding
arXiv 2015
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