Presenting on dual-channel tensor neural networks at JSM 2026

Created on July 16, 2026

2026

I will be presenting at the Joint Statistical Meetings (JSM) 2026 in Boston:

Dual-Channel Tensor Neural Networks: Finite-Sample Theory and Conformal Structure Selection

🎤 Invited talk, 11:00–11:25 AM
📅 Session: Statistical Innovations for Heterogeneous and High-Dimensional Data (Invited Paper Session, 10:30 AM–12:20 PM)
📍 Thomas M. Menino Convention & Exhibition Center
🔗 Session details and abstracts

The session features four talks:

  • Xueqin Wang (University of Science and Technology of China) — 10:35–11:00 AM
  • Elynn Chen (New York University) — Dual-Channel Tensor Neural Networks: Finite-Sample Theory and Conformal Structure Selection, 11:00–11:25 AM
  • Fei Xue (Purdue University) — Federated Transfer Learning for Feature Mismatch, 11:25–11:50 AM
  • Heping Zhang (Yale University) — Ball Impurity: Measuring Heterogeneity in General Metric Spaces, 11:50 AM–12:15 PM

Come say hello if you are around!