Prof. Truong-Son Hy

🚀 New publication from HySonLab! "EquiHGNN: Scalable Rotationally Equivariant Hypergraph Neural Networks" is accepted at Journal of Chemical Physics (JCP). Presented at NeurIPS 2025 Workshop (San Diego). Preprint: arxiv.org/pdf/2505.05650

800 problems accepted on LeetCode. Consistent training will keep our mind sharp.

After 2 months of training again to prepare for the Alabama High School Programming Contest and to lead Team UAB to compete in the ICPC North America Regional, I have just reached 500 solved LeetCode problems. Keep pushing forward!

@dann83881 Thank you very much!

@sonpascal93 Fantastic news, @@sonpascal93! Huge congratulations on joining the Editorial Board of Scientific Reports. Your expertise in AI for medicine, bioinformatics, and drug discovery will be an incredible asset. What a well-deserved recognition!

Honored to join the Editorial Board of Scientific Reports (Springer Nature). Looking forward to supporting the peer-review process and contributing to research in AI for medicine, bioinformatics, and drug discovery. Grateful to my students and collaborators at HySonLab.

I am pleased to co-organize the 25th International Workshop on Data Mining in Bioinformatics (BIOKDD 2026), held in conjunction with SIGKDD 2026. 🔗 Website: biokdd.org/biokdd26/ 📅 Important Dates - Submission Deadline: April 30, 2026 - Notification: June 4, 2026

RedBench accepted at ICLR 2026 Trustworthy AI Workshop! Our paper presents a unified benchmark for systematic LLM red teaming & robustness evaluation. A collaboration between HySonLab and Knovel Engineering (Singapore). Preprint: arxiv.org/abs/2601.03699

Thrilled to share that our BIOKDD 2026 proposal has been accepted at SIGKDD 2026 as a Full-Day Workshop! Honored to co-organize with Dr. Jake Chen (UAB), Dr. Da Yan (Indiana University), and Dr. Zongliang Yue (Auburn University). See you at KDD 2026! 🚀

Thanks to Asmita for the kind words!

Asmita, my master’s student at UAB from India, just secured an excellent job with a great salary. So proud of her hard work and growth. She even came back to visit and brought me a gift. Moments like this make being a professor truly meaningful. Congrats, Asmita!

New paper on Multi-Agent AI for Industrial IoT! We introduce SEMAS, a self-evolving Edge-Fog-Cloud multi-agent system with PPO-based policy learning and LLM-powered explanations for real-time predictive maintenance. arXiv arxiv.org/abs/2602.16738 Code github.com/HySonLab/Agent…

The final open-access version of our paper has been published at Smart Agricultural Technology: sciencedirect.com/science/articl…

Paper accepted at Smart Agricultural Technology (Elsevier, Q1)! We developed a Python package for insect EPG time-series analysis + ML models for crop prediction. Congrats to Dung (my intern at VIASM REU) and Daniel (CSU), and thanks to Prof. Nalam Vamsi & Prof. Phuong Dao! 🇻🇳🇺🇸

Software package: github.com/HySonLab/ML4In…

Preprint: biorxiv.org/content/10.110…

Celebrating with a seafood buffet as we mark our paper's publication in a Nature portfolio journal. Grateful for the team and the journey.

Pleased to share that a paper from HySonLab has been accepted to Communications Chemistry, a prestigious journal of Nature. We propose generative AI combined with evolutionary algorithms for multi-target drug discovery, improving synthesizability.

Our new survey on Efficient AI for Medical Imaging with a deployment-first view on latency, energy, privacy, and edge hardware. We review lightweight CNNs, hybrid CNN-Transformers, and linear-time Mamba/SSMs. arxiv.org/pdf/2602.00910

Over the past 4 years, ORCID has helped me track 101 peer reviews for 27 respected journals, including Nature, IEEE, ACM, Oxford, and Elsevier. Grateful for the trust from editors and happy to contribute back to the research community. 🔗 orcid.org/0000-0002-5092…

Three members of HySonLab went to lunch with Prof. Emily (Shuya) Feng at Saigon Noodle House.

We release a new dataset for soft high-k polymers and show that multimodal ML + contrastive pretraining enables data-efficient property prediction under extreme data scarcity. Thanks to Prof. Chengyi Xu and team! 📄 arxiv.org/pdf/2601.18032 💻 github.com/HySonLab/Polym…