General Lab Information

Huan-Hsin Tseng

Research Staff 3 Computational, Comput. Sci. Mach. Learning, Computational Science Initiative

Huan-Hsin Tseng

Brookhaven National Laboratory

Computational Science Initiative
Bldg. 725, Room 7605
P.O. Box 5000
Upton, NY 11973-5000

Enchanté, je suis Huan-Hsin Tseng. My interests mainly lie in theoretical physics, mathematics, and their intersections. Recent focus is Quantum Machine Learning, Quantum Algorithms, and Deep Learning (AI/ML).

My background is in High Energy Physics, particularly General Relativity, Spacetime geometry, Quantum Fields in Curved Spacetime, and Gravitational Gauge Theory.

Expertise | Research | Education | Appointments | Publications | Highlights


Expertise

  • Quantum Machine Learning
  • Quantum Information / Quantum Computing
  • Deep Learning / Deep Speech Analysis / Signal Processing / Machine Learning
  • General Relativity
  • Extra-Dimension Theory, Cosmology, Dark Energy (not Dark Energon), Alternative Gravity
  • Gravity Gauge Theory
  • Mathematical Physics

Research Activities

  • Spin Representation Networks
  • Quantum Model Interpretability / Explanability, Quantum Transfer Learning
  • Quantum-Centric Supercomputing
  • Classical Information Processing Quantum-Classical Workflows (IBM Material Sciences Quantum Working Group Co-lead)
  • Quantum-classical ML correspondence
  • Domain Adaptations / Transfer Learning Theory
  • Speech Enhancement / Denoising

Education

  • B.S. Mathematics, National Tsing-Hua University, 2005
  • M.S. Physics, National Tsing-Hua University, 2007
  • Ph.D. Physics, National Tsing-Hua University, 2015

Professional Appointments

  • 2024 - present, Research Associate Professor, Stony Brook University
  • 2023 - present, Research Scientist, Brookhaven National Laboratory
  • 2019 - 2022, Senior Postdoctoral Fellow, Academia Sinica, Taiwan
  • 2016 - 2019, Postdoctoral Fellow, University of Michigan Ann Arbor

Professional Service

- Organizing Committee, Workshop: Quantum Machine Learning in Signal Processing and Artificial IntelligenceIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025)

- Organizing Committee, Special Session: Quantum Techniques for Signal Processing and ML, IEEE Workshop on Signal Processing Systems (SiPS 2024)

- Organizing Committee, Workshop: Quantum Computing and Reinforcement Learning, IEEE International Conference on Quantum Computing and Engineering (QCE 2024)

- Organizing Committee, Special Session: Quantum Machine Learning Algorithms and ApplicationsIEEE International Conference on Machine Learning and Applications (ICMLA 2024)

- Organizing Committee, Special Session: Quantum Machine Learning Algorithms and Applications on NISQ Devices, IEEE IJCNN Special Session

- Referee of IEEE Transactions on Quantum Engineering

- Referee of Neural Information Processing Systems (NIPS)

Referee of the International Conference on Machine Learning (ICML)

- Referee of the International Conference on Learning Representations (ICLR)

Referee of IEEE Signal Processing Letters

- Referee of IEEE Transactions on Audio, Speech and Language Processing

- Referee of IEEE Transactions on Radiation and Plasma Medical Sciences

- Referee of Medical Physics

- Referee of Advances in High Energy Physics

Selected Publications

  • Tseng H-H, Lin H-Y, Hung K-H, Tsao Y (ICLR 2023) Interpretations of Domain Adaptations via Layer Variational Analysis
  • Lin H-Y, Tseng H-H, Lu X, Tsao Y (NIPS 2021) Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport
  • Tseng H-H (Ph.D Thesis, 2018) Gravitational Theories with Torsion
  • Geng CQ, Luo LW, Tseng HH (2014) Teleparallel gravity in five-dimensional theories. Classical and Quantum Gravity 31:185004. https://doi.org/10.1088/0264-9381/31/18/185004
  • Geng C-Q, Lai C, Luo L-W, Tseng H-H (2014) Kaluza–Klein theory for teleparallel gravity. Physics Letters B 737:248–250. https://doi.org/10.1016/j.physletb.2014.08.055

Research Highlights

  • PI, Quantum-Centric Supercomputing project, BNL Laboratory Directed Research and Development (LDRD), FY 2024 - FY 2027
Huan-Hsin Tseng

Brookhaven National Laboratory

Computational Science Initiative
Bldg. 725, Room 7605
P.O. Box 5000
Upton, NY 11973-5000

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