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Jianfeng Lu

5 papers hereh-index 14 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • last author3

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • math.AP1
  • math.OC1
  • quant-ph1
  • stat.ML1
same name
  • Jianfeng Lu — 50 papers, h 35
  • Jianfeng Lu — 20 papers
  • Jianfeng Lu — 12 papers, h 5
  • Jianfeng Lu — 10 papers, h 28
  • Jianfeng Lu — 8 papers, h 3
  • Jianfeng Lu — 6 papers, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

5 papers

cs.LG2026

A Mathematical Introduction to Diffusion Models

Jianfeng Lu

These notes give a proof-oriented introduction to diffusion models from the viewpoint of sampling, tracing a single arc from classical sampling dynamics to modern diffusion sampler…

math.AP2026

A sharp hypocoercive entropy decay estimate for underdamped Langevin dynamics

Jianfeng Lu

We study the underdamped Langevin dynamics with invariant measure μ(dxdv)∝e−U(x)−∣v∣2/2dxdv. Assume tha…

math.OC2026

Mirror Descent for Deterministic Optimal Control

Ye Feng, Jianfeng Lu

We study an explicit mirror-descent method for finite-horizon deterministic optimal control problems. The method is motivated by Pontryagin's maximum principle: at each iteration,…

stat.ML2025

Error Analysis of Generalized Langevin Equations with Approximated Memory Kernels

Quanjun Lang, Jianfeng Lu

We analyze prediction error in stochastic dynamical systems with memory, focusing on generalized Langevin equations (GLEs) formulated as stochastic Volterra equations. We establish…

quant-ph2025

A Unified Blockwise Measurement Design for Learning Quantum Channels and Lindbladians via Low-Rank Matrix Sensing

Quanjun Lang, Jianfeng Lu

Quantum superoperator learning is a pivotal task in quantum information science, enabling accurate reconstruction of unknown quantum operations from measurement data. We propose a…

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