Detailed Program
Workshop Time: Mon, Aug 26, 2024, 9:00 AM - 1:00 PM
Your Local Time:
Workshop Room: 131 - 132
Zoom Link: https://iu.zoom.us/j/3229975334
Opening, Keynote and Spotlight Talks (9:00 AM - 10:30 AM)
Session Chair: Lyuheng Yuan (Indiana University Bloomington)| 9:00 AM - 9:10 AM | Opening Remarks by Dr. Jake Chen / Dr. Da Yan |
| 9:10 AM - 10:00 AM |
Keynote: Advantages of Quantum-Enhanced Generative AI For Biologics Design and Optimization Christopher Savoie |
| 10:00 AM - 10:05 AM |
12. Effectiveness of Cross-linguistic Extraction of Genetic Information using Generative Large Language Models Milindi Kodikara and Karin Verspoor |
| 10:05 AM - 10:10 AM |
22. Adapting Large Language Models to Predict Gene Interactions Mark Heimann, Christine Klymko and Jayaraman J. Thiagarajan |
| 10:10 AM - 10:15 AM |
25. LayLLM: Adapting Large Language Models for Lay Summarization of Biomedical Literature and Clinical Reports Jieli Zhou and Hongyi Xin |
| 10:15 AM - 10:20 AM |
11. HervEVO: Accurate Classification and Generation of Human Endogenous Retroviruses with DNA Foundation Model Jieli Zhou, Duo Du, Hongyi Xin and Lei Liu |
| 10:20 AM - 10:25 AM |
17. scGHSOM: Hierarchical clustering and visualization of single-cell and CRISPR data using growing hierarchical SOM Shang-Jung Wen, Jia-Ming Chang and Fang Yu |
| 10:25 AM - 10:30 AM |
21. A novel approach for predicting breast cancer metastasis through measurement of global transcriptional dysregulation Tanzira Najnin, Sakhawat H. Saimon, Maryam Zand, Nahim Adnan, Zhijie Liu, Tim H. Huang and Jianhua Ruan |
Coffee Break (10:30 AM - 11:00 AM)
Paper Session and Closing Remarks (10:30 AM - 1:05 PM)
Session Chair: Lyuheng Yuan (Indiana University Bloomington)The session begins in parallel with the coffee break, since we have many papers to present.
| 10:30 AM - 10:45 AM |
Late-Breaking: 20. A comprehensive evaluation of large Language models on benchmark biomedical text processing tasks Israt Jahan, Md Tahmid Rahman Laskar, Chun Peng and Jimmy Huang |
| 10:45 AM - 11:00 AM |
Research: 3. Could Chemical LLMs benefit from Message Passing Jiaqing Xie and Ziheng Chi |
| 11:00 AM - 11:15 AM |
Research: 4. Temporal Subspace Clustering for Molecular Dynamics Data Anna Beer, Martin Heinrigs, Claudia Plant and Ira Assent |
| 11:15 AM - 11:30 AM |
Research: 7. Isometry-Preserving Generative Modeling for Spatial Transcriptomics Wenbin Zhou and Jin-Hong Du |
| 11:30 AM - 11:45 AM |
Research: 8. gFlora: a topology-aware method to discover functional co-response groups in soil microbial communities Nan Chen, Merlijn Schram and Doina Bucur |
| 11:45 AM - 12:00 PM |
Research: 9. Hybrid Deep Learning Framework for Enhanced Melanoma Detection Peng Zhang and Divya Chaudhary |
| 12:00 PM - 12:15 PM |
Research: 14. Context-Aware Hierarchical Fusion for Drug Relational Learning Yijingxiu Lu, Yinhua Piao, Sangseon Lee and Sun Kim |
| 12:15 PM - 12:30 PM |
Research: 15. Mixture-of-Experts Approach for Enhanced Drug-Target Interaction Prediction and Confidence Assessment Yijingxiu Lu, Sangseon Lee, Soosung Kang and Sun Kim |
| 12:30 PM - 12:45 PM |
Research: 23. ACR: A Benchmark for Automatic Cohort Retrieval Dung Ngoc Thai, Victor Ardulov, Jose Ulises Mena, Simran Tiwari, Gleb Erofeev, Ramy Eskander, Karim Tarabishy, Ravi B Parikh and Wael Salloum |
| 12:45 PM - 1:00 PM |
Research: 26. Pre-Trained Foundation Model Representations to Uncover Breathing Patterns in Speech Vikramjit Mitra, Anirban Chatterjee, Ke Zhai, Helen Weng, Ayuko Hill, Nicole Hay, Christopher Webb, Jamie Cheng and Erdrin Azemi |
| 1:00 PM - 1:05 PM | Closing Remarks by Dr. Ahmed Abdeen Hamed / Dr. Da Yan |
