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Alvin Cheung

Alvin Cheung has 2 papers in our library, in 2018–2023, most of them on Efficient models & compression; often with Hao Zhang, Ioannis Konstas, Ion Gabriel Stoica.

2 papers in our library · 2018–2023

OpenAlex · ORCID · Wikidata · h-index 29 · 136 works · 3,672 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 484 times in our library · 12 more in our library without a page yet · ⭐ Paper Stars ranking: #5351

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

🎓University of California, BerkeleyBerkeley · United States2019–2026 · 49 paperscurrent🎓University of WashingtonSeattle · United States2014–2021 · 40 papers🔬MIT Computer Science and Artificial Intelligence LaboratoryCambridge · United States2008–2014 · 13 papers🎓Massachusetts Institute of TechnologyCambridge · United States2008–2015 · 7 papers🔬IBM Research - AlmadenSan Jose · United States2006–2007 · 3 papers🔬Lawrence Berkeley National LaboratoryBerkeley · United States2023–2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 1Research subjects and languages the work is about.Efficient models & compression · 1 work

 Works by year

2020s

20231 paper

2010s

20181 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Mapping Language to Code in Programmatic Context (2018 · 260 citations)
    Real programs depend on their surroundings, yet earlier NL-to-code systems used fixed templates, one fixed context, or no context.
  2. Online Speculative Decoding (2023 · 65 citations)
    Speculative decoding speeds up LLM inference by having a small draft model propose tokens that a large target model checks in parallel.

All works

14 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Summarizing Source Code using a Neural Attention Model ↗Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetSrinivasan Iyer et al.2016 · 800 citations
  2. Learning a Neural Semantic Parser from User Feedback ↗Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetSrinivasan Iyer et al.2017 · 472 citations
  3. Mapping Language to Code in Programmatic ContextConference on Empirical Methods in Natural Language Processing (EMNLP)Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, et al.2018 · 260 citations
  4. Online Speculative DecodingarXiv:2310.07177Xiaoxuan Liu, Lanxiang Hu, Peter Bailis, et al.2023 · 65 citations
  5. Learning Programmatic Idioms for Scalable Semantic Parsing ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetSrinivasan Iyer, Alvin Cheung, Luke Zettlemoyer2019 · 48 citations
  6. Mélange: Cost Efficient Large Language Model Serving by Exploiting GPU Heterogeneity ↗arXiv:2404.14527 · no summary yetTyler Griggs et al.2024 · 26 citations
  7. TurboSpec: Closed-loop Speculation Control System for Optimizing LLM Serving Goodput ↗arXiv (Cornell University) · no summary yetXiaoxuan Liu et al.2024 · 20 citations
  8. GACT: Activation Compressed Training for Generic Network Architectures ↗arXiv (Cornell University) · no summary yetLiu, Xiaoxuan et al.2022 · 20 citations
  9. PlotCoder: Hierarchical Decoding for Synthesizing Visualization Code in Programmatic Context ↗Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yetXinyun Chen et al.2021 · 15 citations
  10. Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First ↗arXiv (Cornell University) · no summary yetLiu, Shu et al.2025 · 7 citations
  11. Combee: Scaling Prompt Learning for Self-Improving Language Model Agents ↗arXiv (Cornell University) · no summary yetHanchen Li et al.2026 · 3 citations
  12. NumS: Scalable Array Programming for the Cloud ↗arXiv:2206.14276 · no summary yetMelih Elibol et al.2022 · 3 citations
  13. The Sky Above The Clouds ↗arXiv (Cornell University) · no summary yetSarah Chasins et al.2022 · 2 citations
  14. When Agents Slow Down: Understanding LLM Agents' Test-Time Strategies via Elo-per-token Analysis ↗arXiv (Cornell University) · no summary yetKaiyuan Liu et al.2026

 Co-authors here

7 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 484 times (of the 149,439 papers whose bibliographies we read); 77 citing papers with a page here →.

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