SCHOOL OF COMPUTING SCIENCE
SFU at NeurIPS: 7 Computing Science papers accepted for NeurIPS conference
Seven papers from the SFU School of Computing Science were accepted for this year's conference on Neural Information Processing Systems (NeurIPS).
Researchers at SFU Computing Science are dedicated to advancing the field of machine learning (ML), from innovative applications to foundational theory. Their groundbreaking work spans areas such as visual computing, language processing, reinforcement learning, and beyond. By publishing extensively, collaborating across disciplines, and engaging with the global ML community, SFU professors and students are fostering a rich, collaborative ecosystem that pushes the boundaries of what is possible in ML.
Once again, our researchers have an exceptional showing at NeurIPS 2024, with five papers in the main track, and two in the datasets and benchmarks track. We have one spotlight paper presentation 鈥攁 distinction awarded to the top 2.08% of submissions at the conference. This year's NeurIPS will take place right here in SFU鈥檚 home city: beautiful Vancouver, BC, Canada, at the Vancouver Convention Centre, from Tuesday, Dec. 10, to Sunday, Dec. 15. It鈥檚 another fantastic reason for authors to be excited!
Parallel to NeurIPS, SFU is also hosting a series of mornings talks from 9 speakers from Dec 11th to 13th in SFU's downtown campus (roughly 10 minutes walk from the convention center). This special SFU event is organized by Wuyang Chen and features talks and social events designed to complement the NeurIPS experience. See our for more details.
The team of researchers from SFU Computing Science will also present three workshop papers and organize three workshops at the conference. Additionally, Assistant Professor Angelica Lim will give a talk at the on December 10.
NeurIPS is one of the most prestigious annual conferences in machine learning and artificial intelligence. It attracts leading researchers, practitioners, and industry professionals from around the globe, providing a platform to present groundbreaking research, participate in workshops, and discuss the future of AI and computational sciences. The conference features invited talks, demonstrations, symposia, and oral and poster presentations of peer-reviewed papers. Alongside the conference, there is a professional exposition focusing on machine learning in practice, a series of tutorials, and topical workshops that offer a more informal setting for exchanging ideas.
SFU鈥檚 School of Computing Science has consistently excelled at NeurIPS, with an impressive 12 papers accepted for the 2023 conference.
Below is a list of all seven papers accepted for this year鈥檚 conference:
1.
Wuyang Chen, Jialin Song, Pu Ren, Shashank Subramanian, Dmitriy Morozov, Michael Mahoney
2.
Jincheng Mei, Bo Dai, Alekh Agarwal, Sharan Vaswani, Anant Raj, Csaba Szepesvari, Dale Schuurmans
3.
Kiyohiro Nakayama, Mikaela Angelina Uy, Yang You, Ke Li, Leonidas Guibas
4.
Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Weiwei Sun, Yang-Che Tseng, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi
5.
Liqiang Lin, Wenpeng Wu, Chi-Wing Fu, Hao Zhang, Hui Huang
6.
Linyi Li, Shijie Geng, Zhenwen Li, Yibo He, Hao Yu, Ziyue Hua, Guanghan Ning, Siwei Wang, Tao Xie, Hongxia Yang
7.
Zahra Gharaee, Scott Lowe, ZeMing Gong, Pablo Millan Arias, Nicholas Pellegrino, Austin T. Wang, Joakim Bruslund Haurum, Iuliia Zarubiieva, Lila Kari, Dirk Steinke, Graham Taylor, Paul Fieguth, Angel Chang