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Xingyu Lu

Xingyu Lu has 4 papers in our library, in 2025–2026, most of them on Language models & pretraining, Vision & language; often with Jie Sun, Jun Zhou, Pengfei Liu.

4 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 31 · 187 works · 5,658 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 31 times in our library · ⭐ Paper Stars ranking: #8121

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Chongqing University of Posts and TelecommunicationsChongqing · China2016–2026 · 21 paperscurrent🎓Fudan UniversityShanghai · China2017–2019 · 19 papers🎓Guangxi Normal UniversityGuilin · China2021 · 3 papers🎓Hong Kong Polytechnic UniversityHong Kong · China2019 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 13The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksMaterials Science · 1 workComputer Vision and Pattern Recognition · 3 worksComputational Theory and Mathematics · 1 workMaterials Chemistry · 1 workArts and Humanities · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksSignal Processing · 1 workDecision Sciences · 1 workManagement Science and Operations Research · 1 workMathematics · 1 workNumerical Analysis · 1 work

🧭 Topics 2Research subjects and languages the work is about.Vision & language · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20263 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery (2025 · 38 citations)
    Large language models handle many tasks well, but in drug discovery they still trail specialist models trained for single tasks.
  2. SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs (2026 · 1 citation)
    Modern LLMs advertise very long context windows, yet they handle long sequences of numbers poorly. Tasks such as counting, filtering, or spotting trends need exact access to every value. The authors trace this failure to attention dispersion: as inputs grow, Softmax spreads attention over many similar numeric tokens…
  3. Crossroads of Optimization under Uncertainty: How to Choose the Optimal Model (2026)
    Optimization under Uncertainty (OuU) is hard to use without expertise in optimization and statistics. Practitioners also lack guidance on whether SAA, Robust Optimization (RO) or Distributionally Robust Optimization (DRO) suits a given problem. The authors present LLM4OuU, an LLM-driven multi-agent system. Separate…
  4. Synergizing Stylometrics with Semantics: Dual-Path Framework for LLM Detection and Attribution (2026)
    This work addresses attributing a text either to a human or to the specific LLM that wrote it. Likelihood-based detectors such as perplexity or curvature scores, and fine-tuned semantic classifiers, both lose reliability on short texts, derivative content, and cross-domain data. The authors observe that LLMs keep…

 Co-authors here

10 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 31 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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