Purdue University

With support from the Rosen Center for Advanced Computing (RCAC), Purdue doctoral candidate Haoteng Yin recently attended NeurIPS 2024, one of the world’s leading conferences in artificial intelligence and machine learning.

Yin won Best Poster at RCAC’s 2024 CI Symposium for research on efficient and scalable learning frameworks for massive graph data. The symposium provided an opportunity to engage with domain experts and general audiences, sparking new ideas for integrating high-performance computing and AI into Yin’s research.

“My experience at the RCAC CI Symposium was fantastic,” says Yin. “I had insightful conversations about high-performance computing and AI for science, and I gained a deeper understanding of the computational tools and resources available through RCAC. The event gave me new ideas on how to better integrate these resources into my own research on designing efficient and scalable learning frameworks for massive graph data.”

The most memorable part of the symposium, Yin said, was the opportunity to interact with fellow researchers and explore interdisciplinary applications of computing. The poster session was particularly impactful, highlighting the diverse ways computational resources are used in fields such as protein structure research, digital art and automated reasoning in machine learning.

As the CI symposium travel winner, Yin was awarded a scholarship with funding provided by Purdue’s Women in High-Performance Computing group to attend NeurIPS and gain insights into the evolving landscape of generative AI and artificial general intelligence. The conference also provided an opportunity to present research on privacy-preserving relational learning to IBM’s Global Health team.

“The era of GenAI has arrived, and the path toward AGI is becoming clearer,” Yin explains. “Through discussions with researchers and industry experts, I expanded my understanding of how foundation models and large language models can be applied to fields like drug discovery, protein design and personalized medicine.”

The Purdue WHPC scholarship allowed Yin to present research and connect with global experts without financial barriers.

“The RCAC support was instrumental in making my participation at NeurIPS possible,” Yin notes. “I am deeply grateful for this opportunity, and it has reinforced my commitment to contributing to the community and making my research results accessible.”

The next RCAC CI Symposium is scheduled for May 1 in Indianapolis. Yin encourages students to take advantage of the event to present their work, connect with peers and explore computational research resources.