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Education

• Degree: Ph.D
• Field of Study: Computer Science, NLP
• Graduating School: Institute of Automation, Chinese Academy of Sciences
• Graduation Year: 2015

Professional Experience

• Company: Samsung Research China - Beijing
• Position: Principal Engineer
• Responsibilities: Researcher of NLP/LLM/VLM on device
• Duration: From 2015 until now

Research Interests and Direction

• Primary Research Area: NLP, multimodal, emotional related
• Projects:
  • Samsung Galaxy AI language pack MT modeling
  • On-device LLM/VLM based features modeling
  • Depression detection via wearable devices
• Selected Publications:
  • A Lightweight Mixture-of-Experts Neural Machine Translation Model with Stage-wise Training Strategy (Zhang et al., NAACL Findings 2024)
  • A Cross Search Method for Data Augmentation in Neural Machine Translation(Zhang et al., ICASSP 2024)
  • Pretrained Bidirectional Distillation for Machine Translation (Zhuang & Tu, ACL 2023)
  • CCIM: Cross-modal Cross-lingual Interactive Image Translation(Ma et al., EMNLP findings 2023)
  • Angular Gap: Reducing the Uncertainty of Image Difficulty through Model Calibration(Peng et al., ACMMM 2022)

Find my other publications: Google Scholar