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Xin Wang

4 papers hereh-index 9386 citations15 works total

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

author position
  • first author3
  • middle author1

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

fields
  • cs.CL3
  • cs.PL1
same name
  • Xin Wang — 85 papers, h 39
  • Xin Wang — 56 papers, h 29
  • Xin Wang — 50 papers, h 28
  • Xin Wang — 35 papers, h 14
  • Xin Wang — 33 papers, h 5
  • Xin Wang — 31 papers, h 13

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

most citedSynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation

71 citations · 77 across the 4 of their papers we have counts for

collaborators

4 papers

cs.PL2022★ 2 cited

CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training

Xin Wang, Yasheng Wang, Yao Wan +5

Recent years have witnessed increasing interest in code representation learning, which aims to represent the semantics of source code into distributed vectors. Currently, various w…

cs.CL2022★ 1 cited

Compilable Neural Code Generation with Compiler Feedback

Xin Wang, Yasheng Wang, Yao Wan +7

Automatically generating compilable programs with (or without) natural language descriptions has always been a touchstone problem for computational linguistics and automated softwa…

cs.CL2022★ 3 cited

Pan More Gold from the Sand: Refining Open-domain Dialogue Training with Noisy Self-Retrieval Generation

Yihe Wang, Yitong Li, Yasheng Wang +6

Real human conversation data are complicated, heterogeneous, and noisy, from which building open-domain dialogue systems remains a challenging task. In fact, such dialogue data sti…

cs.CL2021★ 71 cited

SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation

Xin Wang, Yasheng Wang, Fei Mi +7

Code representation learning, which aims to encode the semantics of source code into distributed vectors, plays an important role in recent deep-learning-based models for code inte…

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