Publications

Journals

• The impact of encoding–decoding schemes and weight normalization in spiking neural networks,
  Zhengzhong Liang, David Schwartz, Gregory Ditzler, O Ozan Koyluoglu,
  Neural Networks (2018).
  

Conferences

• Do Transformers Dream of Inference, or Can Pretrained Generative Models Learn Implicit Inferential Rules?,
  Zhengzhong Liang and Mihai Surdeanu,
  Proceedings of the First Workshop on Insights from Negative Results in NLP (co-located with EMNLP 2020).
  

• Understanding the Polarity of Events in the Biomedical Literature: Deep Learning vs. Linguistically-informed Methods,
  Enrique Noriega-Atala, Zhengzhong Liang, John Bachman, Clayton Morrison, Mihai Surdeanu,
  Proceedings of the Workshop on Extracting Structured Knowledge from Scientific Publications (co-located with NAACL 2019).
  

• The Impact of an Adversary in a Language Model,
  Zhengzhong Liang and Gregory Ditzler,
  2018 IEEE Symposium Series on Computational Intelligence (SSCI),
  

• Nonlinear Brain Tumor Model Estimation with Long Short-Term Memory Neural Networks,
  Jiashu Guo, Zhengzhong Liang, Gregory Ditzler, Nidhal C Bouaynaya, Elizabeth Scribner, Hassan M Fathallah-Shaykh,
  2018 International Joint Conference on Neural Networks (IJCNN).
  

Preprint

• Using the Hammer Only on Nails: A Hybrid Method for Evidence Retrieval for Question Answering,
  Zhengzhong Liang, Yiyun Zhao and Mihai Surdeanu