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Jie Chen

7 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 author4
  • last author3

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cond-mat.mtrl-sci1
  • cs.AI1
  • q-bio.BM1
same name
  • Jie Chen — 29 papers, h 18
  • Jie Chen — 26 papers, h 21
  • Jie Chen — 23 papers, h 22
  • Jie Chen — 23 papers, h 29
  • Jie Chen — 21 papers, h 44
  • Jie Chen — 17 papers, h 9

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
20242026
most citedMultimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning

3 citations · 6 across the 6 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

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…

cs.LG2024

Representing Molecules as Random Walks Over Interpretable Grammars

Michael Sun, Minghao Guo, Weize Yuan +10

Recent research in molecular discovery has primarily been devoted to small, drug-like molecules, leaving many similarly important applications in material design without adequate t…

cs.LG2024★ 2 cited

Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints

Yunsheng Tian, Ane Zuniga, Xinwei Zhang +5

Bayesian optimization has been successfully applied to optimize black-box functions where the number of evaluations is severely limited. However, in many real-world applications, i…

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