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Weijie Su

5 papers hereh-index 226 citations10 works total

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

author position
  • sole author2
  • first author1
  • last author2

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CL1
  • math.OC1
  • stat.ME1
same name
  • Weijie Su — 12 papers, h 10
  • Weijie Su — 6 papers, h 28
  • Weijie Su — 5 papers, h 4
  • Weijie Su — 1 paper, h 11
  • Weijie Su — 1 paper, 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

collaborators

5 papers

stat.ME2026

Online LLM watermark detection via e-processes

Weijie Su, Ruodu Wang, Zinan Zhao

Watermarking for large language models (LLMs) has emerged as an effective tool for distinguishing AI-generated text from human-written content. Statistically, watermark schemes ind…

cs.LG2026

Recommending Best Paper Awards for ML/AI Conferences via the Isotonic Mechanism

Garrett G. Wen, Buxin Su, Natalie Collina +2

Machine learning and artificial intelligence conferences such as NeurIPS and ICML now regularly receive tens of thousands of submissions, posing significant challenges to maintaini…

cs.CL2025

Length-MAX Tokenizer for Language Models

Dong Dong, Weijie Su

We introduce a new tokenizer for language models that minimizes the average tokens per character, thereby reducing the number of tokens needed to represent text during training and…

cs.LG2025

You Are the Best Reviewer of Your Own Papers: The Isotonic Mechanism

Weijie Su

Machine learning (ML) and artificial intelligence (AI) conferences including NeurIPS and ICML have experienced a significant decline in peer review quality in recent years. To addr…

math.OC2025

Isotropic Curvature Model for Understanding Deep Learning Optimization: Is Gradient Orthogonalization Optimal?

Weijie Su

In this paper, we introduce a model for analyzing deep learning optimization over a single iteration by leveraging the matrix structure of the weights. We derive the model by assum…

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