Publications:
- Dannenfelser R, Zhong J, Zhang R, Yao V. "Into the Single Cell Multiverse: an End-to-End Dataset for Procedural Knowledge Extraction in Biomedical Texts." Advances in Neural Information Processing Systems 36 (NeurIPS) Datasets and Benchmarks, 2023. (Spotlight) Link
Preprints:
- Zhong J, Li L, Dannenfelser R, Yao V. "Benchmarking gene embeddings from sequence, expression, network, and text models for functional prediction tasks." bioRxiv, 2025. Link
Presentations and Posters:
Zhong J, Dannenfelser R, Yao V. "Pan-cancer Analysis of Protein Interaction Network Rewiring Changes Due to Alternative Splicing." Poster presented at Intelligent Systems for Molecular Biology (ISMB) Network Biology, 2024.
Aparicio S, Bao Y, Li L, Trushenki K, Ye Z, Zhong J, Zhuang J, Jin P, Barman A, Acosta S, Nguyen M. "Machine Learning Approaches for Diagnosing Diastolic Dysfunction in Pediatric Patients." Poster presented at the Data to Knowledge Showcase, 2024. (First Runners-Up)
Zhong J, Shamin M, Blackburn A, Lieberman Aiden E. "Upsampling Hi-C Data." Poster presented at the Center for Theoretical Biological Physics Summer Undergraduate Research Symposium, 2021.
Chen C, Gunawardana S, Sherbo B, Tholath T, Zhang Z, Zhong J, Martchenko M, Levitin A. "Identification of Bithionol and Bifonazole as an Antibacterial Combination Therapy for Bacillus Subtilis and YesZ Mutant Strain." Talk presented at the Keck Graduate Institute Summer Undergraduate Research Experience Symposium, 2019.