Selected Talks

  1. International Conference on High Energy Physics (ICHEP) — Natal, Brazil Jul 2026
    Machine Can Automatically Discover Parametric Functions to Model HEP Data
  2. TREASURE: Tokenizing HEP Collider Data for AI Discovery — BNL, USA Apr 2026
    Self-Supervised Learning: Machine Can Learn a Lot by Just Observing
  3. Coordinating Panel on Advanced Detectors (CPAD) — UPenn, USA Oct 2025
    SparsePixels: Efficient Convolution for Sparse Data on FPGAs
  4. 2024 CMS Thesis Award Ceremony Talk (CMS Week) — CERN, Switzerland Oct 2025
    Search for Exotic Higgs Boson Decays with CMS and Fast Machine Learning Solutions for the LHC
  5. Fast Machine Learning for Science Conference (FastML) — ETH Zurich, Switzerland Sep 2025
    SparsePixels: Efficient Convolution for Sparse Data on FPGAs
  6. High-energy physics seminar — UPenn; U.Washington; Fermilab 2023, 2024
    Search for Exotic Higgs Boson Decays with CMS and Fast Machine Learning Solutions for the LHC
  7. US LHC Users Association Meeting (US LUA) — Fermilab, USA Dec 2023
    CICADA: Anomaly Detection for New Physics Searches at the CMS Level-1 Trigger
  8. Machine Learning at Level-1 Trigger Workshop (ML@L1) — CERN, Switzerland Dec 2023
    Anomaly Detection – CICADA: Status, Plans, and Prospects for Phase-2
  9. CMS Machine Learning Town Hall — CERN, Switzerland Sep 2023
    L1 Anomaly Detection with Calorimeter Inputs: Status and Opportunities
  10. European Physical Society Conference on High Energy Physics (EPS-HEP) — Hamburg, Germany Aug 2023
    Searches for exotic Higgs boson decays with the CMS experiment
  11. International Conference on Computing in High Energy & Nuclear Physics (CHEP) — Norfolk VA, USA May 2023
    Symbolic Regression on FPGAs for Fast Machine Learning Inference
  12. International Conference on Applied Mathematics — CityU, Hong Kong May 2016
    First Passage Time Problem of the Time-Dependent Ornstein-Uhlenbeck Process: a Model for Stochastic Decision-Making Process