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Xiantao Li

52 papers hereh-index 212.8k citations102 works total

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

author position
  • sole author6
  • first author7
  • middle author14
  • last author25

Across the 52 of 52 papers where every author was matched, so the position is known.

fields
  • math.NA18
  • quant-ph14
  • physics.comp-ph11
  • cond-mat.stat-mech3
  • cs.LG3
  • cond-mat.mes-hall1
same name
  • Xiantao Li — 9 papers, h 2
  • Xiantao Li — 6 papers, h 4
  • Xiantao Li — 4 papers, h 1
  • Xiantao Li — 2 papers, h 3
  • Xiantao Li — 1 paper

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

activity
20122023
most citedData-driven parameterization of the generalized Langevin equation

152 citations · 506 across the 51 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

quant-ph2022

Simulating Markovian open quantum systems using higher-order series expansion

Xiantao Li, Chunhao Wang

We present an efficient quantum algorithm for simulating the dynamics of Markovian open quantum systems. The performance of our algorithm is similar to the previous state-of-the-ar…

quant-ph2022

Enabling Quantum Speedup of Markov Chains using a Multi-level Approach

Xiantao Li

Quantum speedup for mixing a Markov chain can be achieved based on the construction of slowly-varying r Markov chains where the initial chain can be easily prepared and the spect…

cs.LG2022

The Mori-Zwanzig formulation of deep learning

Daniele Venturi, Xiantao Li

We develop a new formulation of deep learning based on the Mori-Zwanzig (MZ) formalism of irreversible statistical mechanics. The new formulation is built upon the well-known duali…

cs.LG2022★ 2 cited

A Local Convergence Theory for the Stochastic Gradient Descent Method in Non-Convex Optimization With Non-isolated Local Minima

Taehee Ko, Xiantao Li

Loss functions with non-isolated minima have emerged in several machine learning problems, creating a gap between theory and practice. In this paper, we formulate a new type of loc…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.