Publications

  1. S. Luo, P. Cheng, S. Yu, Semi-constraint Optimal Transport for Entity Alignment with Dangling Cases , Findings of the Association for Computational Linguistics, 2022

  2. P. Cheng*, W. Hao*, S. Yuan, S. Si, L. Carin, FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders, International Conference on Learning Representations (ICLR), 2021

  3. S. Yuan*, P. Cheng*, R. Zhang, W. Hao, Z. Gan, and L. Carin, Improving Zero-Shot Voice Style Transfer via Disentangled Representation Learning, International Conference on Learning Representations (ICLR), 2021

  4. P. Cheng, W. Hao, and L. Carin, Estimating Total Correlation with Mutual Information Bounds, Neural Information Processing Systems (NeurIPS) Workshop, 2020

  5. P. Cheng, W. Hao, S. Dai, J. Liu, Z. Gan, and L. Carin, CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information, International Conference on Machine Learning (ICML), 2020

  6. P. Cheng, M. Min, D. Shen, C. Malon, Y. Zhang, Y. Li, and L. Carin, Improving Disentangled Text Representation Learning with Information Theoretical Guidance, Annual Meeting of the Association for Computational Linguistics (ACL), 2020

  7. P. Cheng, Y. Li, X. Zhang, L. Chen, D. Carlson, and L. Carin, Dynamic Embedding on Textual Networks via a Gaussian Process, American Association of Artificial Intelligence (AAAI), 2020 Oral

  8. P. Cheng*, D. Shen*, D. Sundararaman, X. Zhang, A. Celikyilmaz, and L. Carin, Learning Compressed Sentence Representations for On-Device Text Processing, Annual Meeting of the Association for Computational Linguistics (ACL), 2019 Oral

  9. P. Cheng, Y. Li, X. Zhang, L. Chen, D. Carlson, and L. Carin, Gaussian-Process-Based Dynamic Embedding for Textual Networks, Neural Information Processing Systems (NeurIPS) Workshop, 2019

  10. L. Chen, G. Wang, C. Tao, D. Shen, P. Cheng, X. Zhang, W. Wang, Y. Zhang, and L. Carin, Improving Textual Network Embedding with Global Attention via Optimal Transport, Annual Meeting of the Association for Computational Linguistics (ACL), 2019

  11. C. Liu, J. Zhuo, P. Cheng, R. Zhang, J. Zhu, and L. Carin, Understand and Accelerate Particle-based Variational Inference, International Conference on Machine Learning (ICML), 2019

  12. P. Cheng, C. Liu, C. Li, D. Shen, H. Ricardo, and L. Carin, Straight-Through Estimator as Projected Wasserstein Gradient Flow, Neural Information Processing Systems (NeurIPS) Workshop, 2018 Spotlight