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Yuxuan Zhu

Yuxuan Zhu has 4 papers in our library, in 2026, most of them on Reasoning, Information retrieval & search, Efficient models & compression; often with David H. Yang, Keerthiram Murugesan, Mohammad Mohammadi Amiri.

4 papers in our library · 2026

OpenAlex · h-index 0 · 3 works · 0 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 11 times in our library · ⭐ Paper Stars ranking: #10274

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

🏛️Chinese Academy of SciencesBeijing · China2026 · 1 papercurrent🎓Rensselaer Polytechnic InstituteTroy · United States2026 · 1 papercurrent🔬Shenzhen Institutes of Advanced TechnologyShenzhen · China2026 · 1 papercurrent🎓University of ChicagoChicago · United States2026 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

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

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 2 worksDecision Sciences · 1 workInformation Systems and Management · 1 work

🧭 Topics 3Research subjects and languages the work is about.Efficient models & compression · 1 workReasoning · 2 worksInformation retrieval & search · 1 work

 Works by year

2020s

20264 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Teams of LLM Agents can Exploit Zero-Day Vulnerabilities (2026 · 18 citations)
    The paper asks whether LLM-based agents can exploit real-world zero-day vulnerabilities, meaning flaws whose description the attacker does not have.
  2. OjaKV: Context-Aware Online Low-Rank KV Cache Compression (2026 · 2 citations)
    Long-context LLM inference is limited by GPU memory for the key-value (KV) cache. For Llama-3.1-8B with a 32K-token prompt at batch size 4, the cache reaches about 16 GB, roughly the size of the model weights. Earlier low-rank compression methods project keys and values onto a fixed basis learned offline from…
  3. Attribution-Based Analysis and Optimization of Modular Agentic Workflows (2026)
    Agent systems built from separate modules (planning, reasoning, action, reflection) are usually judged only by final task success.
  4. ZoomR: Memory Efficient Reasoning through Multi-Granularity Key Value Retrieval (2026)
    Reasoning LLMs write long chains of thought, and the KV cache used during decoding grows with every generated token.

 Co-authors here

12 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 11 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated

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