Yu Shen - agricultural and development economics - Research Excellence in Civil and Environmental Engineering Award

Peking University - China

AUTHOR PROFILE

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EARLY ACADEMIC PURSUITS

Yu Shen pursued advanced studies in the field of machine learning, earning a PhD from Peking University. His academic journey equipped him with expertise in AutoML and graph learning, laying the foundation for his contributions to the field.

PROFESSIONAL ENDEAVORS

Dr. Yu Shen has made significant contributions to the field of machine learning through his professional endeavors. He has been involved in pioneering projects such as Openbox, a generalized black-box optimization service, and VolcanoML, which speeds up end-to-end AutoML through scalable search space decomposition. His work at institutions like Peking University and the Chinese Academy of Sciences demonstrates his commitment to advancing the frontiers of machine learning.

CONTRIBUTIONS AND RESEARCH FOCUS

Yu Shen's research focus centers on machine learning, AutoML, and graph learning. His contributions include the development of innovative frameworks such as Pasca, a graph neural architecture search system, and Grain, which improves the data efficiency of graph neural networks. Through his research, Dr. Shen addresses key challenges in machine learning and contributes to the development of efficient and scalable algorithms.

IMPACT AND INFLUENCE

Dr. Yu Shen's research has had a significant impact on the field of machine learning, as evidenced by his numerous citations and publications in prestigious conferences and journals. His work on Openbox and other projects has garnered attention from the academic community and industry practitioners, shaping the discourse on black-box optimization and AutoML. As a leading expert in his field, Dr. Shen continues to influence the direction of research in machine learning and graph learning.

ACADEMIC CITES

Yu Shen's research has been widely cited in the academic community, reflecting the significance and relevance of his contributions to machine learning. His papers have been cited over 350 times since 2019, attesting to the impact of his work on advancing the state-of-the-art in AutoML and graph learning.

LEGACY AND FUTURE CONTRIBUTIONS

Dr. Yu Shen's legacy lies in his groundbreaking contributions to machine learning and AutoML. His innovative frameworks and algorithms have paved the way for advancements in graph learning and optimization. In the future, Dr. Shen's research is expected to continue shaping the field of machine learning, with applications spanning various domains, including agricultural and development economics, where his expertise can be leveraged to address complex challenges and drive positive change.

NOTABLE PUBLICATION

VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition. 2023 (36)

Transfer Learning for Bayesian Optimization: A Survey. 2023 (15)

Transfer Learning based Search Space Design for Hyperparameter Tuning. 2022 (10)

PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm. 2022 (36)

ROD: Reception-aware Online Distillation for Sparse Graphs. 2021 (23)

EARLY ACADEMIC PURSUITS:

Dr. Nancy Marshall embarked on her academic journey, earning her PhD in Planning and Urban Development from the University of New South Wales (Australia) in 2000. Her thesis, "Into the Third Millennium: Neocorporatism, the State and the Urban Planning Profession," showcased her early dedication to exploring the intersection of urban planning and governance. Notably, she received the Overseas Postgraduate Research Scholarship for three consecutive years (1997-1999).

PROFESSIONAL ENDEAVORS:

Over the years, Dr. Marshall has held various academic positions, starting as a Research Officer & Casual Lecturer at UNSW (2001-2003) and later becoming an Associate Professor, Senior Lecturer, and Lecturer at UNSW's Faculty of the Built Environment (2004-2020). She continued her academic journey as an Associate Professor at the University of Sydney, where she also served as the Program Director for various Urban Design and Planning programs (2020-2023).

Her role as the Associate Dean/Education at UNSW (2009-2013) showcased her leadership in shaping the faculty's educational landscape.

CONTRIBUTIONS AND RESEARCH FOCUS:

Dr. Marshall's contributions extend to various realms, including curriculum development, course delivery, and student assessment. Her research focus on public open space planning and smart cities aligns with contemporary urban challenges. As an award-winning academic, her impact is evident in her role as a grants assessor for the Australian Research Council and the Australian Learning and Teaching Council.

IMPACT AND INFLUENCE:

Dr. Marshall's influence is seen in her roles as a member of academic boards, program directorships, and various committees. Her involvement in national and international planning organizations, such as the Canadian Institute of Planners and her editorial role in Plan Canada, underscores her broad influence.

Surveying International University Students: The Case of the 5% Response Rate 2022 (4) Liking, Tweeting and Posting: An Analysis of Community Engagement through Social Media Platforms. 2020 (7) A Sound Understanding of Healthy Cities. 2019 (1) The Power of Cities on People–Place Relationships. 2019 (1) Australian University Students: Survey of an International Cohort. 2021 (1)