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Jie Chen

4 papers hereh-index 553 citations7 works total

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

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.AI1
  • q-bio.BM1
same name
  • Jie Chen — 30 papers
  • Jie Chen — 20 papers, h 18
  • Jie Chen — 15 papers, h 21
  • Jie Chen — 11 papers
  • Jie Chen — 10 papers, h 9
  • Jie Chen — 9 papers

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

most citedMultimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning

3 citations · 4 across the 3 of their papers we have counts for

collaborators

4 papers

cs.LG2025

Directed Graph Grammars for Sequence-based Learning

Michael Sun, Orion Foo, Gang Liu +2

Directed acyclic graphs (DAGs) are a class of graphs commonly used in practice, with examples that include electronic circuits, Bayesian networks, and neural architectures. While m…

cs.AI2025★ 1 cited

Foundation Molecular Grammar: Multi-Modal Foundation Models Induce Interpretable Molecular Graph Languages

Michael Sun, Weize Yuan, Gang Liu +2

Recent data-efficient molecular generation approaches exploit graph grammars to introduce interpretability into the generative models. However, grammar learning therein relies on e…

cs.LG2024★ 3 cited

Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning

Gang Liu, Michael Sun, Wojciech Matusik +2

While large language models (LLMs) have integrated images, adapting them to graphs remains challenging, limiting their applications in materials and drug design. This difficulty st…

q-bio.BM2024

Procedural Synthesis of Synthesizable Molecules

Michael Sun, Alston Lo, Minghao Guo +3

Designing synthetically accessible molecules and recommending analogs to unsynthesizable molecules are important problems for accelerating molecular discovery. We reconceptualize b…

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