Pengyu Cheng
Pengyu Cheng
Tencent AI Lab
Patvirtintas el. paštas - Pagrindinis puslapis
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
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
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
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
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
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
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
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
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
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
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
Adversarial preference optimization
P Cheng, Y Yang, J Li, Y Dai, N Du
arXiv preprint arXiv:2311.08045, 2023
Estimating total correlation with mutual information bounds
P Cheng, W Hao, L Carin
NeurIPS 2020 Workshop: Deep Learning through Information Geometry, 2020
Everyone Deserves A Reward: Learning Customized Human Preferences
P Cheng, J Xie, K Bai, Y Dai, N Du
arXiv preprint arXiv:2309.03126, 2023
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
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
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
Semi-constraint optimal transport for entity alignment with dangling cases
S Luo, P Cheng, S Yu
arXiv preprint arXiv:2203.05744, 2022
Replacing language model for style transfer
P Cheng, R Li
arXiv preprint arXiv:2211.07343, 2022
Self-playing Adversarial Language Game Enhances LLM Reasoning
P Cheng, T Hu, H Xu, Z Zhang, Y Dai, L Han, N Du
arXiv preprint arXiv:2404.10642, 2024
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