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Chang Liu

Tsinghua University

13 papers hereh-index 171.5k citations64 works total

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

author position
  • first author4
  • middle author8

Across the 12 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG3
  • eess.IV3
  • eess.SP1
  • physics.chem-ph1
  • physics.flu-dyn1
affiliations
  • Tsinghua University
  • Microsoft Research
Homepage
same name
  • Chang Liu — 66 papers, h 39
  • Chang Liu — 38 papers, h 24
  • Chang Liu — 27 papers, h 20
  • Chang Liu — 23 papers, h 19
  • Chang Liu — 23 papers, h 22
  • Chang Liu — 22 papers, h 5

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
20192023
most citedBenchmarking Graphormer on Large-Scale Molecular Modeling Datasets

26 citations · 64 across the 13 of their papers we have counts for

collaborators
Showing 2019Show all

3 papers · 1 filter

cs.LG2019★ 5 cited

Straight-Through Estimator as Projected Wasserstein Gradient Flow

Pengyu Cheng, Chang Liu, Chunyuan Li +3

The Straight-Through (ST) estimator is a widely used technique for back-propagating gradients through discrete random variables. However, this effective method lacks theoretical ju…

eess.SP2019

Received Signal Strength Based Wireless Source Localization with Inaccurate Anchor Position

Yang Liu, Guojun Han, Yonghua Wang +2

Received signal strength (RSS)-based wireless localization is easy to implement at low cost. In practice,exact positions of anchors may not be available. This paper focuses on dete…

stat.ML2019★ 2 cited

Understanding MCMC Dynamics as Flows on the Wasserstein Space

Chang Liu, Jingwei Zhuo, Jun Zhu

It is known that the Langevin dynamics used in MCMC is the gradient flow of the KL divergence on the Wasserstein space, which helps convergence analysis and inspires recent particl…

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