Chenhe Dong (董晨鹤)

About Me

I am currently an Algorithm Engineer at Alibaba. Previously, I received my MSc degree from Sun Yat-sen University in 2023, under supvervision of Prof. Ying Shen. My main research interests are Deep Learning and Natural Language Processing, with particular focus on Federated Learning, Text Generation and Model Compression.

Publications

• Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning
  Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen and Yaliang Li. Preprint.
  

• Counterfactual Debiasing for Generating Factually Consistent Text Summaries
  Chenhe Dong, Yuexiang Xie, Yaliang Li and Ying Shen. Preprint.
  

• A Unified Framework for Contextual and Factoid Question Generation
  Chenhe Dong, Ying Shen, Shiyang Lin, Zhenzhou Lin and Yang Deng. TKDE 2023.
  

• A Survey of Natural Language Generation
  Chenhe Dong, Yinghui Li, Haifan Gong, Miaoxin Chen, Junxin Li, Ying Shen and Min Yang. CSUR 2022.
  

• HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression
  Chenhe Dong, Yaliang Li, Ying Shen and Minghui Qiu. EMNLP 2021. [code]
  

• EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation
  Chenhe Dong, Guangrun Wang, Hang Xu, Jiefeng Peng, Xiaozhe Ren and Xiaodan Liang. EMNLP 2021 findings. [code]
  

• Wasserstein Distance-Based Auto-Encoder Tracking
  Long Xu, Ying Wei, Chenhe Dong, Chuaqiao Xu and Zhaofu Diao. NEPL 2021. [code]
  

• Combination of Appearance and License Plate Features for Vehicle Re-Identification
  Yanguang He, Chenhe Dong and Ying Wei. ICIP 2019.
  

Honors and Awards

• Honorable Mention, Interdisciplinary Contest in Modeling, 2018
• National Second Prize, Contemporary Undergraduate Mathematical Contest in Modeling, 2017
• National Scholarship for Undergraduate Students, 2017