PeopleofSuperintelligence

Researcher

Mingsheng Long

Also known as Ming-Sheng Long

Mingsheng Long is a Tsinghua AI researcher whose work spans transfer learning, time-series forecasting and weather prediction. He earned a B.E. in electrical engineering and a PhD in computer science at Tsinghua, then visited UC Berkeley as a computer-science researcher. He coauthored Deep Adaptation Networks, Joint Adaptation Networks, Conditional Adversarial Domain Adaptation, Autoformer, TimesNet and NowcastNet, received the 2021 FTL-IJCAI Test of Time Award, and shared a 2025 Frontiers of Science Award. As of October 2026, he is a tenured associate professor with an endowed professorship in Tsinghua's School of Software.

Timeline

  1. 2004–2014

    Tsinghua degrees

    He earns a B.E. in electrical engineering at Tsinghua in 2008 and a PhD in computer science there in 2014.

  2. 2014–2015

    A Berkeley research visit

    He visits UC Berkeley's Department of Computer Science as a researcher from 2014 to 2015.

  3. 2015–2018

    Adaptation networks for transfer learning

    In 2015, he coauthors Learning Transferable Features with Deep Adaptation Networks, which matches mean embeddings across domain distributions in deep-network layers. In 2017, he coauthors Deep Transfer Learning with Joint Adaptation Networks, which aligns joint distributions across domain-specific layers. In 2018, he coauthors Conditional Adversarial Domain Adaptation, a framework that conditions adversarial models on classifier predictions.

  4. 2021

    A Test of Time Award

    In 2021, he receives FTL-IJCAI's Test of Time Award for his 2015 paper, Learning Transferable Features with Deep Adaptation Networks.

  5. 2021

    Autoformer for long forecasting

    At NeurIPS in 2021, he coauthors Autoformer, a long-term time-series forecasting model built on decomposition and an Auto-Correlation mechanism.

  6. 2023

    TimesNet and NowcastNet

    At ICLR in 2023, he coauthors TimesNet, which models temporal variation after converting time series into two-dimensional tensors. In 2023, he coauthors NowcastNet, which combines physical-evolution schemes and conditional-learning methods for extreme-precipitation nowcasting.

  7. 2025

    A Frontiers of Science Award

    In 2025, he shares the Frontiers of Science Award with Yuchen Zhang, Kaiyuan Chen, Lanxiang Xing, Ronghua Jin and Jianmin Wang.

  8. As of October 2026

    Associate professor at Tsinghua

    As of October 2026, he is a tenured associate professor with an endowed professorship in Tsinghua's School of Software.

Career

  1. NowTsinghua UniversityTenured Associate Professor
  2. 2014–2015University of California, BerkeleyResearcher

Education

  1. 2014Tsinghua UniversityPhD
  2. 2008Tsinghua UniversityB.E.

From the biography.

  1. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Tsinghua University. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  2. The median h-index is 48 at universities and 14 at frontier AI labsIncludes Tsinghua University. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.
  3. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Tsinghua University. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  4. 84% of people shaping AI with recorded undergraduate and doctoral schools changed institutions for their doctorateIncludes Tsinghua University. 84% of people shaping AI with recorded undergraduate and doctoral schools changed institutions for their doctorate. Across 2,116 people with both an undergraduate degree and a doctorate recorded, we trace which undergraduate schools feed which doctoral programs, how often students stay at the same school, and how paths differ by birth-country region.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Mingsheng Long yet. Send us a free-licensed photo.

  1. FTL-IJCAI'21 federated-learning.org. Checked 21 October 2026.
  2. Learning Transferable Features with Deep Adaptation Networks proceedings.mlr.press. Checked 21 October 2026.
  3. Deep Transfer Learning with Joint Adaptation Networks proceedings.mlr.press. Checked 21 October 2026.
  4. Conditional Adversarial Domain Adaptation proceedings.neurips.cc. Checked 21 October 2026.
  5. Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting papers.neurips.cc. Checked 21 October 2026.
  6. TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis arxiv.org. Checked 21 October 2026.
  7. Mingsheng Long - Tsinghua University ise.thss.tsinghua.edu.cn. Checked 21 October 2026.
  8. Skilful nowcasting of extreme precipitation with NowcastNet nature.com. Checked 21 October 2026.
  9. Michael I. Jordan's Home Page people.eecs.berkeley.edu. Checked 21 October 2026.