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Ziliang Chen

16 papers hereh-index 131.5k citations35 works total

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

author position
  • first author4
  • middle author11
  • last author1

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.LG6
  • cs.AI1
  • cs.CL1
  • cs.IR1
same name
  • Ziliang Chen — 7 papers, h 4
  • Ziliang Chen — 6 papers, h 4
  • Ziliang Chen — 3 papers, h 2
  • Ziliang Chen — 1 paper, h 1

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
20172026
most citedDeep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift

53 citations · 113 across the 14 of their papers we have counts for

collaborators
Showing 2019 · cs.LGShow all

4 papers · 2 filters

cs.LG2019★ 6 cited

Graph Neural Reasoning May Fail in Certifying Boolean Unsatisfiability

Ziliang Chen, Zhanfu Yang

It is feasible and practically-valuable to bridge the characteristics between graph neural networks (GNNs) and logical reasoning. Despite considerable efforts and successes witness…

cs.LG2019★ 2 cited

Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching

Ziliang Chen, Zhanfu Yang, Xiaoxi Wang +4

A broad range of cross-m-domain generation researches boil down to matching a joint distribution by deep generative models (DGMs). Hitherto algorithms excel in pairwise domains w…

cs.LG2019

Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks

Ziliang Chen, Jingyu Zhuang, Xiaodan Liang +1

(Unsupervised) Domain Adaptation (DA) seeks for classifying target instances when solely provided with source labeled and target unlabeled examples for training. Learning domain-in…

cs.LG2019

FRAME Revisited: An Interpretation View Based on Particle Evolution

Xu Cai, Yang Wu, Guanbin Li +2

FRAME (Filters, Random fields, And Maximum Entropy) is an energy-based descriptive model that synthesizes visual realism by capturing mutual patterns from structural input signals.…

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