Research Papers


  • Xu He, Tianlin Liu, Fatemeh Hadaeghi, and Herbert Jaeger. Reservoir Transfer on Analog Neuromorphic Hardware. In Proceedings of the 9th International IEEE EMBS Conference on Neural Engineering (NER) , San Francisco, CA, 2019 (pdf).
  • Tianlin Liu, Lyle Ungar, and João Sedoc. Unsupervised Post-processing of Word Vectors via Conceptor Negation. In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI), Honolulu, 2019. (pdf) (codes)
  • Tianlin Liu, João Sedoc, and Lyle Ungar. Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors. In Proceedings of Biocreative/OHNLP workshop at ACM-BCB 2018, Washington, D.C., USA, August 2018. (pdf)
  • Tianlin Liu . A Consistent Method for Learning OOMs from Asymptotically Stationary Time Series Data Containing Missing Values. Preprint. (arxiv) (code)
  • Tianlin Liu and Dae Gwan Lee. Fast Binary Compressive Sensing via $\ell_0$ Gradient Descent. In Proceedings of 5th International Workshop on Compressed Sensing The- ory and its Applications to Radar, Sonar, and Remote Sensing (CoSeRa 2018), Siegen, Germany, September 2018. (arXiv) (codes)
  • Tianlin Liu and Arvid Kappas. Predicting Engagement Breakdown in HRI Using Thin-slices of Facial Expressions. In Proceedings of AAAI Workshop on Affective Content Analysis, New Orleans, 2018. (pdf) (codes)