Ruiyi Zhang
Ruiyi Zhang
Adobe Research
Verified email at - Homepage
Cited by
Cited by
Towards language-free training for text-to-image generation
Y Zhou, R Zhang, C Chen, C Li, C Tensmeyer, T Yu, J Gu, J Xu, T Sun
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
GenDICE: Generalized Offline Estimation of Stationary Values
R Zhang, B Dai, L Li, D Schuurmans
International Conference on Learning Representation, 2020
Improving Adversarial Text Generation by Modeling the Distant Future
R Zhang, C Chen, Z Gan, W Wang, D Shen, G Wang, Z Wen, L Carin
Association for Computational Linguistics, 2020
Topic-Guided Variational Autoencoders for Text Generation
W Wang, Z Gan, H Xu, R Zhang, G Wang, D Shen, L Carin
Annual Conference of the North American Chapter of the Association for …, 2019
Bias and fairness in large language models: A survey
IO Gallegos, RA Rossi, J Barrow, MM Tanjim, S Kim, F Dernoncourt, T Yu, ...
Computational Linguistics, 1-79, 2023
Understanding and Accelerating Particle-Based Variational Inference
C Liu, J Zhuo, P Cheng, R Zhang, J Zhu, L Carin
International Conference on Machine Learning, 4082-4092, 2019
Llavar: Enhanced visual instruction tuning for text-rich image understanding
Y Zhang, R Zhang, J Gu, Y Zhou, N Lipka, D Yang, T Sun
NeurIPS 2023 Workshop on Instruction Tuning and Instruction Following, 2023
Text-based interactive recommendation via constraint-augmented reinforcement learning
R Zhang, T Yu, Y Shen, H Jin, C Chen, L Carin
Advances in Neural Information Processing Systems, 15214-15224, 2019
Improving Sequence-to-Sequence Learning via Optimal Transport
L Chen, Y Zhang, R Zhang, C Tao, Z Gan, H Zhang, B Li, D Shen, L Carin
International Conference on Learning Representation, 2019
A Unified Particle-optimization Framework for Scalable Bayesian Sampling
C Chen, R Zhang, W Wang, B Li, L Chen, L Carin
Uncertainty in Artificial Intelligence, 2018
Figure Captioning with Reasoning and Sequence-Level Training
C Chen, R Zhang, E Koh, S Kim, S Cohen, T Yu, R Rossi, R Bunescu
The IEEE Winter Conference on Applications of Computer Vision, 1537-1545, 2020
Policy Optimization as Wasserstein Gradient Flows
R Zhang, C Chen, C Li, L Carin
International Conference on Machine Learning, 2018
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 Representation, 2021
Autodan: Automatic and interpretable adversarial attacks on large language models
S Zhu, R Zhang, B An, G Wu, J Barrow, Z Wang, F Huang, A Nenkova, ...
Socially Responsible Language Modelling Research (SoLaR), NeurIPS 2023, 2023
Towards building the federatedGPT: Federated instruction tuning
J Zhang, S Vahidian, M Kuo, C Li, R Zhang, T Yu, G Wang, Y Chen
ICASSP 2024 IEEE International Conference on Acoustics, Speech and Signal …, 2023
Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions
Z Wang, P Yu, Y Zhao, R Zhang, Y Zhou, J Yuan, C Chen
AAAI Conference on Artificial Intelligence, 2020
Stochastic particle-optimization sampling and the non-asymptotic convergence theory
J Zhang, R Zhang, C Chen, L Carin
International Conference on Artificial Intelligence and Statistics, 2020
Variational inference and model selection with generalized evidence bounds
C Tao, L Chen, R Zhang, R Henao, L Carin
International conference on machine learning, 893-902, 2018
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference
B An, J Lyu, Z Wang, C Li, C Hu, F Tan, R Zhang, Y Hu, C Chen
Conference on Empirical Methods in Natural Language Processing, 2020
Scalable Thompson Sampling via Optimal Transport
R Zhang, Z Wen, C Chen, C Fang, T Yu, L Carin
International Conference on Artificial Intelligence and Statistics, 1137--1146, 2019
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