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🎉 Our paper “TESGNN: Temporal Equivariant Scene Graph Neural Networks for Efficient and Robust Multi-View 3D Scene Understanding” is accepted at TMLR! Exciting direction at the intersection of Geometric Deep Learning & Computer Vision for Robotics. #TMLR #GDL #CV #Robotics
Honored to be promoted by Springer Nature — home of the prestigious Nature journals — from Trusted Reviewer to Reviewing Editor. This editorial role goes beyond reviewing, enabling deeper engagement in peer review and global collaboration. #AcademicLife #SpringerNature
Discover how generative AI and geometric deep learning are advancing protein science and drug discovery. Don’t miss DBIDS PowerTalks with Truong-Son Hy, Ph.D., this Friday at 10 a.m. CST. Register 👉 uab.zoom.us/meeting/regist… @uabheersink @sonpascal93
Excited to share our paper accepted at Nature – Scientific Reports (Q1, IF 3.9)! 🎉 FFTMed: Lightweight & adversarial-resilient FFT-based framework for medical image segmentation. 🔗 Preprint: biorxiv.org/content/10.110… 💻 Code: github.com/HySonLab/Light…
Thrilled to have 4 papers accepted at the Machine Learning and the Physical Sciences Workshop @ NeurIPS 2025 🎉 Topics: climate modeling (AdaptFNO), chemical reasoning (LINKER), antibody design (TeBaAb), and equivariant hypergraphs (EquiHGNN). Congrats to my amazing students!
Excited to share that our work EquiHGNN was accepted at the New Perspectives in Advancing Graph ML workshop @NeurIPS 2025! 🎉 Geometric hypergraph neural nets for high-order molecular interactions. 🔗 arxiv.org/abs/2505.05650…
Excited to give a talk at UAB’s Department of Biomedical Informatics and Data Science this Friday! Topic: Generative AI & Geometric Deep Learning for Protein Science and Drug Discovery Details: calendar.uab.edu/event/dbids-po…
🇻🇳🤝🇺🇸 Excited to share our new paper DiFlow-TTS, a collaboration between FPT (Vietnam) and UAB (USA)! 🚀 Fast, natural, zero-shot Text-to-Speech with huge potential for Vietnam. Thanks to Dr. Vân Nguyễn & FPT mentees! 👉 arxiv.org/pdf/2509.09631
📢 We are seeking a postdoc (US citizen/PR) to apply with us for the ASEE eFellows program at UAB. Focus: AI for Drug Delivery 💊🤖. $75K/yr × 2 yrs + benefits. Deadline: Oct 15, 2025. DM if interested! #AI #DrugDelivery #Postdoc #UAB #EPSCoR
Honored to receive a meteorite fragment from Prof. Brian Keating 🌌✨ Three years ago, I was a lecturer & postdoc at UC San Diego — this gift feels truly cosmic. 🙏
Lately, I’ve been serving on editorial boards for several journals — thankfully ORCID keeps some of the records. I only join editorial boards of reputable Q1 journals from leading publishers such as Oxford, Cambridge, Nature, IEEE, ACM, etc. ORCID: orcid.org/0000-0002-5092…
New preprint from HySonLab! 📄 LINKER: arxiv.org/abs/2509.03425 LINKER uses protein LLMs + GNNs to explain how residues interact with ligand functional groups, bringing interpretability to drug discovery without 3D structures.
Honored to receive a personal 1-year subscription to Communications of the ACM from Prof. Yannis Ioannidis, ACM President 🙏 Since I already had ACM membership, I gave one copy to my PhD student so we can both stay updated on the latest in Computer Science 📖💻
Honored to be invited as Guest Editor for JMIR Medical Education (Elsevier publisher, Q1 ranking, Impact Factor 12.5) 🌍✍️ Theme Issue: Bias, Diversity, Inclusion & Cultural Competence in Medical Education 🔗 sciencedirect.com/org/journal/jm…
Great lunch today with fellow professors from the Department of Computer Science at The University of Alabama at Birmingham! I am grateful to be part of such a supportive community. Exciting research and teaching journeys ahead together.
🎉 Celebrating 1 year of HySonLab (8/8/2024 – 8/8/2025)! Grateful for a year of growth, research, and collaboration in AI for Science, Bioinformatics, Drug Discovery and Medical AI. Onward! 🚀 #AIforScience #Bioinformatics #DrugDiscovery #HySonLab
Our posters at #KDD2025! [1] GROOT: Design of Biological Sequences → dl.acm.org/doi/10.1145/36… [2] Multimodal Learning in Biomedical Knowledge Graph → arxiv.org/pdf/2501.01644 Proud of the team! #AI #Bioinformatics #HySonLab
![sonpascal93's tweet image. Our posters at #KDD2025!
[1] GROOT: Design of Biological Sequences → dl.acm.org/doi/10.1145/36…
[2] Multimodal Learning in Biomedical Knowledge Graph → arxiv.org/pdf/2501.01644
Proud of the team! #AI #Bioinformatics #HySonLab](https://pbs.twimg.com/media/GxnYWGmWMAAlf7t.jpg)
Our BIOKDD 2025 workshop paper is now published in the ACM Digital Library as part of KDD 2025 proceedings. Proud to co-organize this event with Da Yan, Jake Y. Chen, and Mohammed J. Zaki. Read here: doi.org/10.1145/371189… #KDD2025 #BIOKDD #Bioinformatics
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