Sihang Liu
Sihang Liu has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
- Alexandra Silva
Cornell University, USA
1 shared publication Elba Garza
1 shared publicationEmily Ruppel
1 shared publication- Jianxiao Liu
National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
1 shared publication Qingwang Zhang
1 shared publicationRuihong Xu
1 shared publication
Latest Publications
- Open Access
Long-Term Mentoring for Computer Science Researchers
Early in the pandemic, we -- leaders in the research areas of programming languages (PL) and computer architecture (CA) -- realized that we had a problem: the only way to form new lasting connections in the community was to already have lasting connections in the community. Both of our academic communities had wonderful short-term mentoring programs to address this problem, but it was clear that we needed long-term mentoring programs. Those of us in CA approached this scientifically, making an evidence-backed case for community-wide long-term mentoring. In the meantime, one of us in PL had impulsively launched an unofficial long-term mentoring program, founded on chaos and spreadsheets. In January 2021, the latter grew to an official cross-institutional long-term mentoring program called SIGPLAN-M; in January 2022, the former grew to Computer Architecture Long-term Mentoring (CALM). The impacts have been strong: SIGPLAN-M reaches 328 mentees and 234 mentors across 41 countries, and mentees have described it as "life changing" and "a career saver." And while CALM is in its pilot phase -- with 13 mentors and 21 mentees across 7 countries -- it has received very positive feedback. The leaders of SIGPLAN-M and CALM shared our designs, impacts, and challenges along the way. Now, we wish to share those with you. We hope this will kick-start a larger long-term mentoring effort across all of computer science.
Open AccessLong-Term Mentoring for Computer Science Researchers
Early in the pandemic, we -- leaders in the research areas of programming languages (PL) and computer architecture (CA) -- realized that we had a problem: the only way to form new lasting connections in the community was to already have lasting connections in the community. Both of our academic communities had wonderful short-term mentoring programs to address this problem, but it was clear that we needed long-term mentoring programs. Those of us in CA approached this scientifically, making an evidence-backed case for community-wide long-term mentoring. In the meantime, one of us in PL had impulsively launched an unofficial long-term mentoring program, founded on chaos and spreadsheets. In January 2021, the latter grew to an official cross-institutional long-term mentoring program called SIGPLAN-M; in January 2022, the former grew to Computer Architecture Long-term Mentoring (CALM). The impacts have been strong: SIGPLAN-M reaches 328 mentees and 234 mentors across 41 countries, and mentees have described it as "life changing" and "a career saver." And while CALM is in its pilot phase -- with 13 mentors and 21 mentees across 7 countries -- it has received very positive feedback. The leaders of SIGPLAN-M and CALM shared our designs, impacts, and challenges along the way. Now, we wish to share those with you. We hope this will kick-start a larger long-term mentoring effort across all of computer science.
- 1 March 2022
- Published by Elsevier in Future Generation Computer Systems
- Vol. 128, 505-520
PEWOBS: An efficient Bayesian network learning approach based on permutation and extensible ordering-based search
- 1 March 2022
- Published by Elsevier in Future Generation Computer Systems
- Vol. 128, 505-520
PEWOBS: An efficient Bayesian network learning approach based on permutation and extensible ordering-based search