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Yi Zhou

4 papers hereh-index 8443 citations15 works total

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CE1
  • cs.CL1
same name
  • Yi Zhou — 59 papers, h 18
  • Yi Zhou — 42 papers, h 29
  • Yi Zhou — 41 papers, h 27
  • Yi Zhou — 27 papers, h 20
  • Yi Zhou — 22 papers, h 14
  • Yi Zhou — 16 papers, h 22

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
20202023
most citedDefense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble

31 citations · 49 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2023★ 9 cited

Structure-informed Language Models Are Protein Designers

Zaixiang Zheng, Yifan Deng, Dongyu Xue +3

This paper demonstrates that language models are strong structure-based protein designers. We present LM-Design, a generic approach to reprogramming sequence-based protein language…

cs.CE2022★ 9 cited

Zero-Shot 3D Drug Design by Sketching and Generating

Siyu Long, Yi Zhou, Xinyu Dai +1

Drug design is a crucial step in the drug discovery cycle. Recently, various deep learning-based methods design drugs by generating novel molecules from scratch, avoiding traversin…

cs.LG2020

On the Transferability of Adversarial Attacksagainst Neural Text Classifier

Liping Yuan, Xiaoqing Zheng, Yi Zhou +2

Deep neural networks are vulnerable to adversarial attacks, where a small perturbation to an input alters the model prediction. In many cases, malicious inputs intentionally crafte…

cs.CL2020★ 31 cited

Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble

Yi Zhou, Xiaoqing Zheng, Cho-Jui Hsieh +2

Despite neural networks have achieved prominent performance on many natural language processing (NLP) tasks, they are vulnerable to adversarial examples. In this paper, we propose…

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