| 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 | 255 | 2022 |
| 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 | 216 | 2023 |
| GenDICE: Generalized Offline Estimation of Stationary Values R Zhang, B Dai, L Li, D Schuurmans International Conference on Learning Representation, 2020 | 192 | 2020 |
| 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 | 184* | 2019 |
| 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 | 180* | 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 | 152 | 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 | 134 | 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 | 109* | 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 | 98 | 2019 |
| 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, ... First Conference on Language Modeling, 2024 | 97* | 2024 |
| 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 | 81 | 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 | 78* | 2020 |
| 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 | 76 | 2023 |
| Policy Optimization as Wasserstein Gradient Flows R Zhang, C Chen, C Li, L Carin International Conference on Machine Learning, 2018 | 72 | 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 | 71 | 2021 |
| Knowledge graph prompting for multi-document question answering Y Wang, N Lipka, RA Rossi, A Siu, R Zhang, T Derr AAAI Conference on Artificial Intelligence, 2024 | 54 | 2024 |
| 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 | 50 | 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 | 47 | 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 | 44 | 2018 |
| Few-shot class-incremental learning for named entity recognition R Wang, T Yu, H Zhao, S Kim, S Mitra, R Zhang, R Henao Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 36 | 2022 |
Chen ChangyouAssociate Professor at University at BuffaloVerified email at buffalo.edu
