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Zijun Gao

11 papers hereh-index 386 citations14 works total

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

author position
  • first author1
  • middle author9

Across the 10 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CE4
  • cs.LG3
  • q-bio.BM3
  • cs.CV1
same name
  • Zijun Gao — 8 papers, h 7
  • Zijun Gao — 8 papers, h 3
  • Zijun Gao — 5 papers, h 8
  • Zijun Gao — 5 papers, h 2
  • Zijun Gao — 4 papers, h 1
  • Zijun Gao — 4 papers, h 2

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
20232026
most citedGradient-based Parameter Selection for Efficient Fine-Tuning

2 citations · 6 across the 10 of their papers we have counts for

collaborators
Showing cs.CEShow all

4 papers · 1 filter

cs.CE2026

Exploring the Alignment of Generation and Understanding in Protein Structure Modeling

Junde Xu, Yuansheng Huang, Zijun Gao +5

Understanding and generation are often treated as two separate paradigms in training deep neural networks, despite the fact that both are trained with closely related objectives su…

cs.CE2026

GeoCycler: Reward-Aligned 3D Diffusion for Constraint-Conditioned Cyclic Peptide Design

Jingjie Zhang, Hanqun Cao, Haosen Shi +10

Cyclic peptides are attractive therapeutic modalities because their closed-ring topology can improve stability and target specificity. However, de novo cyclic peptide design remain…

cs.CE2025

Learning the PTM Code through a Coarse-to-Fine, Mechanism-Aware Framework

Jingjie Zhang, Hanqun Cao, Zijun Gao +8

Post-translational modifications (PTMs) form a combinatorial "code" that regulates protein function, yet deciphering this code - linking modified sites to their catalytic enzymes -…

cs.CE2025★ 1 cited

SAGEPhos: Sage Bio-Coupled and Augmented Fusion for Phosphorylation Site Detection

Jingjie Zhang, Hanqun Cao, Zijun Gao +2

Phosphorylation site prediction based on kinase-substrate interaction plays a vital role in understanding cellular signaling pathways and disease mechanisms. Computational methods…

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