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researcher

J. Rao

13 papers hereh-index 151.4k citations58 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.LG8
  • q-bio.BM2
  • cs.CV1
  • physics.chem-ph1
  • q-bio.QM1
same name
  • J. Rao — 15 papers, h 20
  • J. Rao — 12 papers, h 19
  • J. Rao — 10 papers, h 15
  • J. Rao — 7 papers, h 15
  • J. Rao — 7 papers, h 4
  • J. Rao — 5 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
20192026
most citedLearning Attributed Graph Representations with Communicative Message Passing Transformer

10 citations · 21 across the 11 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.LG2025

A Novel Framework for Multi-Modal Protein Representation Learning

Runjie Zheng, Zhen Wang, Anjie Qiao +3

Accurate protein function prediction requires integrating heterogeneous intrinsic signals (e.g., sequence and structure) with noisy extrinsic contexts (e.g., protein-protein intera…

cs.LG2025

Fitness aligned structural modeling enables scalable virtual screening with AuroBind

Zhongyue Zhang, Jiahua Rao, Jie Zhong +22

Most human proteins remain undrugged, over 96% of human proteins remain unexploited by approved therapeutics. While structure-based virtual screening promises to expand the druggab…

cs.LG2025

A 3D pocket-aware and affinity-guided diffusion model for lead optimization

Anjie Qiao, Junjie Xie, Weifeng Huang +7

Molecular optimization, aimed at improving binding affinity or other molecular properties, is a crucial task in drug discovery that often relies on the expertise of medicinal chemi…

q-bio.BM2025

RiboFlow: Conditional De Novo RNA Co-Design via Synergistic Flow Matching

Runze Ma, Zhongyue Zhang, Zichen Wang +4

Ribonucleic acid (RNA) binds to molecules to achieve specific biological functions. While generative models are advancing biomolecule design, existing methods for designing RNA tha…

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