publications
publications by categories in reversed chronological order. generated by jekyll-scholar.
2024
- BOK-VQA: Bilingual Outside Knowledge-based Visual Question Answering via Graph Representation PretrainingThe 38th Annual AAAI Conference on Artificial Intelligence3, 2024
- Pre-training Sequence, Structure, and Surface Features for Comprehensive Protein Representation LearningIn The Twelfth International Conference on Learning Representations , 2024
2023
- DNDesign: Enhancing Physical Understanding of Protein Inverse Folding Model via DenoisingbioRxiv, 2023
- ShapeProt: Top-down Protein Design with 3D Protein Shape Generative ModelbioRxiv, 2023
- Solvent: A Framework for Protein FoldingarXiv preprint arXiv:2307.04603, 2023
- ProtFIM: Fill-in-Middle Protein Sequence Design via Protein Language ModelsarXiv preprint arXiv:2303.16452, 2023
2022
- Deep learning models for predicting RNA degradation via dual crowdsourcingNature Machine Intelligence, 2022
- Efficient Multilingual Multi-modal Pre-training through Triple Contrastive LossIn International Conference on Computational Linguistics , 2022
2020
- Finding Hidden Signals in Chemical Sensors Using Deep Learning.Analytical chemistry, 2020
- A community-powered search of machine learning strategy space to find NMR property prediction modelsPLoS ONE, 2020
- Reconstruction of Compton Edges in Plastic Gamma Spectra Using Deep AutoencoderSensors (Basel, Switzerland), 2020
2016
- Superior Chemical Sensing Performance of Black Phosphorus: Comparison with MoS2 and GrapheneAdvanced Materials, 2016
- Enhancing stability of octahedral PtNi nanoparticles for oxygen reduction reaction by halide treatmentJournal of Power Sources, 2016
- Probing gas adsorption in MOFs using an efficient ab initio widom insertion Monte Carlo methodJournal of Computational Chemistry, 2016
2015
- Highly Enhanced Gas Adsorption Properties in Vertically Aligned MoS2 Layers.ACS nano, 2015