| CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information P Cheng, W Hao, S Dai, J Liu, Z Gan, L Carin International Conference on Machine Learning, 1779-1788, 2020 | 411 | 2020 |
| FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders P Cheng, W Hao, S Yuan, S Si, L Carin International Conference on Learning Representations, 2021 | 118 | 2021 |
| Improving Disentangled Text Representation Learning with Information-Theoretic Guidance P Cheng, MR Min, D Shen, C Malon, Y Zhang, Y Li, L Carin Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 108 | 2020 |
| Understanding and accelerating particle-based variational inference C Liu, J Zhuo, P Cheng, R Zhang, J Zhu International Conference on Machine Learning, 4082-4092, 2019 | 106 | 2019 |
| Improving zero-shot voice style transfer via disentangled representation learning S Yuan, P Cheng, R Zhang, W Hao, Z Gan, L Carin International Conference on Learning Representations, 2021 | 73 | 2021 |
| Learning compressed sentence representations for on-device text processing D Shen, P Cheng, D Sundararaman, X Zhang, Q Yang, M Tang, ... arXiv preprint arXiv:1906.08340, 2019 | 32 | 2019 |
| Improving textual network embedding with global attention via optimal transport L Chen, G Wang, C Tao, D Shen, P Cheng, X Zhang, W Wang, Y Zhang, ... arXiv preprint arXiv:1906.01840, 2019 | 28 | 2019 |
| Adversarial Preference Optimization: Enhancing Your Alignment via RM-LLM Game P Cheng, Y Yang, J Li, Y Dai, T Hu, P Cao, N Du, X Li Findings of the Association for Computational Linguistics ACL 2024, 3705-3716, 2024 | 22* | 2024 |
| Everyone Deserves A Reward: Learning Customized Human Preferences P Cheng, J Xie, K Bai, Y Dai, N Du arXiv preprint arXiv:2309.03126, 2023 | 19 | 2023 |
| Waffle: Weight anonymized factorization for federated learning W Hao, N Mehta, KJ Liang, P Cheng, M El-Khamy, L Carin IEEE Access 10, 49207-49218, 2022 | 18 | 2022 |
| Estimating total correlation with mutual information bounds P Cheng, W Hao, L Carin arXiv preprint, 2020 | 17* | 2020 |
| Straight-through estimator as projected Wasserstein gradient flow P Cheng, C Liu, C Li, D Shen, R Henao, L Carin arXiv preprint arXiv:1910.02176, 2019 | 17 | 2019 |
| Self-playing adversarial language game enhances llm reasoning P Cheng, T Hu, H Xu, Z Zhang, Y Dai, L Han, X Li Advances in Neural Information Processing Systems 37, 126515-126543, 2025 | 15 | 2025 |
| Toward fairness in text generation via mutual information minimization based on importance sampling R Wang, P Cheng, R Henao International conference on artificial intelligence and statistics, 4473-4485, 2023 | 15 | 2023 |
| Dynamic Embedding on Textual Networks via a Gaussian Process P Cheng, Y Li, X Zhang, L Cheng, D Carlson, L Carin Proceedings of the AAAI Conference on Artificial Intelligence, 2020 | 14 | 2020 |
| Accelerated first-order methods on the Wasserstein space for Bayesian inference C Liu, J Zhuo, P Cheng, R Zhang, J Zhu, L Carin stat 1050, 4, 2018 | 14 | 2018 |
| On Diversified Preferences of Large Language Model Alignment D Zeng, Y Dai, P Cheng, T Hu, W Chen, N Du, Z Xu arXiv preprint arXiv:2312.07401, 2023 | 12 | 2023 |
| Multiscale visual-attribute co-attention for zero-shot image recognition H Zhang, L Tian, Z Wang, Y Xu, P Cheng, K Bai, B Chen IEEE Transactions on Neural Networks and Learning Systems 34 (9), 6003-6014, 2021 | 10 | 2021 |
| Chunk, align, select: A simple long-sequence processing method for transformers J Xie, P Cheng, X Liang, Y Dai, N Du arXiv preprint arXiv:2308.13191, 2023 | 5 | 2023 |
| Replacing language model for style transfer P Cheng, R Li arXiv preprint arXiv:2211.07343, 2022 | 4 | 2022 |
Lawrence CarinDuke UniversityBestätigte E-Mail-Adresse bei duke.edu