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Sheng Xu

11 papers hereh-index 6155 citations15 works total

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

author position
  • middle author9
  • last author1

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

fields
  • cs.LG5
  • q-bio.QM3
  • cs.CL2
  • q-bio.BM1
same name
  • Sheng Xu — 25 papers, h 16
  • Sheng Xu — 21 papers, h 18
  • Sheng Xu — 8 papers, h 38
  • Sheng Xu — 6 papers, h 5
  • Sheng Xu — 5 papers, h 2
  • Sheng Xu — 5 papers, 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
20232026
most citedContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing

8 citations · 15 across the 11 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2026

ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research

Wanghan Xu, Shuo Li, Tianlin Ye +48

AI coding agents are increasingly used for scientific work, but their end-to-end autonomous research capability remains difficult to verify. We present ResearchClawBench, a benchma…

cs.LG2025

Bidirectional Representations Augmented Autoregressive Biological Sequence Generation

Xiang Zhang, Jiaqi Wei, Zijie Qiu +5

Autoregressive (AR) models, common in sequence generation, are limited in many biological tasks such as de novo peptide sequencing and protein modeling by their unidirectional natu…

cs.LG2025

Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing

Zijie Qiu, Jiaqi Wei, Xiang Zhang +6

De novo peptide sequencing is a critical task in proteomics. However, the performance of current deep learning-based methods is limited by the inherent complexity of mass spectrome…

cs.LG2024

On the Performance Analysis of Momentum Method: A Frequency Domain Perspective

Xianliang Li, Jun Luo, Zhiwei Zheng +5

Momentum-based optimizers are widely adopted for training neural networks. However, the optimal selection of momentum coefficients remains elusive. This uncertainty impedes a clear…

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