Pengyu Cheng

Pengyu Cheng

Senior Researcher at Tencent

Publications

Preprints:

  1. D. Zeng*, Y. Dai*, P. Cheng*, T. Hu, W. Chen, N. Du, Z. Xu, On Diversified Preferences of Large Language Model Alignment, 2023

  2. P. Cheng*, Y. Yang*, J. Li*, Y. Dai, N. Du, Adversarial Preference Optimization, 2023

  3. P. Cheng, J. Xie, K. Bai, Y. Dai, and N. Du, Everyone Deserves A Reward: Learning Customized Human Preferences, 2023

  4. J. Xie, P. Cheng, X. Liang, Y. Dai, and N. Du, Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers, 2023

  5. P. Cheng, R. Li, Replacing Language Model for Style Transfer, 2022

Conference Papers:

  1. K. Bai*, P. Cheng*, W. Hao, R. Henao, and L. Carin, Estimating Total Correlation with Mutual Information Estimators, Artificial Intelligence and Statistics Conference (AISTATS), 2023

  2. R. Wang*, P.cheng*, R. Henao, Mitigating Gender Bias for Text Generation via Mutual Information Minimization, Artificial Intelligence and Statistics Conference (AISTATS), 2023

  3. W. Hao, N. Mehta, K.J. Liang, P. Cheng, M. El-Khamy, and L. Carin, Waffle: Weight anonymized factorization for federated learning, IEEE Access, 2022.

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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

Workshop Papers:

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

  2. 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

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