Ying Zhang
Scholar

Ying Zhang

Google Scholar ID: tbDNsHsAAAAJ
Postdoc at RIKEN
Natural Language ProcessingMachine Learning
Citations & Impact
All-time
Citations
102
 
H-index
6
 
i10-index
5
 
Publications
14
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • Published multiple papers in areas such as dynamic graph modeling, dialogue attribution, graph clustering, abstractive text summarization, multi-modal machine translation, etc. Some of the papers include:
  • - DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs
  • - S2N: A Synthetic Data-Driven Approach for Speaker-to-Dialogue Attribution in Novels
  • - Revisiting Dynamic Graph Clustering via Matrix Factorization
  • - Active Learning for Abstractive Text Summarization via LLM-Determined Curriculum and Certainty Gain Maximization
  • - FINE-LMT: Fine-grained Feature Learning for Multi-Modal Machine Translation
  • - Community-Invariant Graph Contrastive Learning
  • - Active Learning with Task Adaptation Pre-training for Speech Emotion Recognition
  • - Bidirectional Transformer Reranker for Grammatical Error Correction
  • - Generic Mechanism for Reducing Repetitions in Encoder-Decoder Models
  • - A Language Model-based Generative Classifier for Sentence-level Discourse Parsing
Research Experience
  • Extensive research experience in natural language processing, including text understanding and generation, multi-modal machine translation, etc.
Education
  • Currently a postdoc in the Natural Language Understanding Team at RIKEN Center for Advanced Intelligence Project (AIP), supervised by Prof. Kentaro Inui at Tohoku University.
Background
  • Research interests: natural language processing, focusing on developing general functions and mechanisms that can be easily used. Professional field: natural language understanding.
Miscellany
  • Personal homepage provides links to ORCID, Semantic Scholar, and Google Scholar for tracking the latest publications.