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Full Publication List

2022

LAFITE: Towards Language-Free Training for Text-to-Image Generation [Paper][Code]
Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, Tong Sun
Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
TiGAN: Text-based Interactive Image Generation and Manipulation [Paper]
Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Chris Tensmeyer, Tong Yu, Changyou Chen, Jinhui Xu, Tong Sun
AAAI Conference on Artificial Intelligence (AAAI), 2022.
Text-based Interactive Recommendation via Offline Reinforcement Learning [Paper]
Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin
AAAI Conference on Artificial Intelligence (AAAI), 2022.
Robustness of Demonstration-based Learning Under Limited Data Scenario [Paper]
Hongxin Zhang, Yanzhe Zhang, Ruiyi Zhang, Diyi Yang
The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022.
Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling [Paper]
Junda Wu, Rui Wang, Tong Yu, Ruiyi Zhang, Handong Zhao, Shuai Li, Ricardo Henao and Ani Nenkova
The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022.
Dynamics-Aware Adaptation for Reinforcement Learning Based Cross-Domain Interactive Recommendation [Paper]
Junda Wu, Zhihui Xie, Tong Yu, Handong Zhao, Ruiyi Zhang, Shuai Li
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022.
Few-Shot Class-Incremental Learning for Named Entity Recognition [Paper]
Rui Wang, Tong Yu, Handong Zhao, Sungchul Kim, Subrata Mitra, Ruiyi Zhang, Ricardo Henao
Annual Conference of the Association for Computational Linguistics (ACL), 2022.
Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns [Paper]
Zihan Wang, Jiuxiang Gu, Jason Kuen, Handong Zhao, Vlad Morariu, Ruiyi Zhang, Ani Nenkova, Tong Sun, Jingbo Shang
Annual Conference of the Association for Computational Linguistics (ACL), 2022.

2021

Improving Zero-Shot Voice Style Transfer via Disentangled Representation Learning [Paper]
Siayng Yuan, Pengyu Cheng, Ruiyi Zhang, Weituo Hao, Zhe Gan, Lawrence Carin
International Conference on Learning Representations (ICLR), 2021.
Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes [Paper]
Xinyuan Zhang, Ruiyi Zhang, Manzil Zaheer, Amr Ahmed
AAAI Conference on Artificial Intelligence (AAAI), 2021.
Learning to Recommend from Sparse Data via Generative User Feedback [Paper]
Wenlin Wang, Hongteng Xu, Ruiyi Zhang, Wenqi Wang, Piyush Rai, Lawrence Carin
AAAI Conference on Artificial Intelligence (AAAI), 2021.

2020

Semantic Matching for Sequence-to-sequence Learning [Paper]
Ruiyi Zhang, Changyou Chen, Xinyuan Zhang, Ke Bai, Lawrence Carin
The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020.
Improving Adversarial Text Generation by Modeling the Distant Future [Paper]
Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin
Annual Conference of the Association for Computational Linguistics (ACL), 2020.
Abridged in ICML 2019, Real-World Sequential Decision-Making Workshop.
Nested-Wasserstein Self-Imitation Learning for Sequence Generation [Paper]
Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin
Artificial Intelligence and Statistics (AISTATS), 2020.
Abridged in NeurIPS 2019, Deep Reinfoecement Learning Workshop.
Figure Captioning with Relation Maps for Reasoning [Paper]
Charles Chen, Ruiyi Zhang, Eunyee Koh, Sungchul Kim, Scott Cohen, Ryan Rossi
Winter Conference on Applications of Computer Vision (WACV), 2020.
GenDICE: Generalized Offline Estimation of Stationary Values (Oral) [Paper]
Ruiyi Zhang, Bo Dai, Lihong Li, Dale Schuurmans
International Conference on Learning Representations (ICLR), 2020.
Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems [Paper]
Tong Yu, Branislav Kveton, Zheng Wen, Ruiyi Zhang, Ole J Mengshoel
International Conference on Machine Learning (ICML), 2020.
Bayesian Meta Sampling for Fast Uncertainty Adaptation [Paper] [Code]
Zhenyi Wang, Yang Zhao, Ping Yu, Ruiyi Zhang, Changyou Chen
International Conference on Learning Representations (ICLR), 2020.
Improving Text Generation with Student-Forcing Optimal Transport [Paper]
Guoyin Wang, Chunyuan Li, Jianqiao Li, ., Ruiyi Zhang, Wenlin Wang, Dinghan Shen, Lawrence Carin
The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020.
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference [Paper]
Bang An, Jie Lyu, Zhenyi Wang, ., Ruiyi Zhang, Yifan Hu, Changyou Chen
The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020.
Variance Reduction in Stochastic Particle-Optimization Sampling [Paper]
Jianyi Zhang, Yang Zhao, Ruiyi Zhang, Lawrence Carin, Changyou Chen
International Conference on Machine Learning (ICML), 2020.
Towards Convergence Property of Particle-based Bayesian Sampling Methods [Paper]
Jianyi Zhang, Ruiyi Zhang, Lawrence Carin, Changyou Chen
Artificial Intelligence and Statistics (AISTATS), 2020.
Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transition [Paper]
Zhenyi Wang, Ping Yu, Yang Zhao, Ruiyi Zhang, Yufan Zhou, Junsong Yuan, Changyou Chen
AAAI Conference on Artificial Intelligence (AAAI), 2020.

2019

Improving Sequence-to-Sequence Learning via Optimal Transport [Paper] [Code]
Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin
International Conference for Learning Representations (ICLR), 2019.
Topic-Guided Variational Auto-Encoders for Text Generation (Oral) [Paper]
Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Dinghan Shen, Guoyin Wang, Changyou Chen, Lawrence Carin
North American Chapter of the Association for Computational Linguistics (NAACL), 2019.
Text-based Interactive Recommendation via Constraint Augumented Reinforcement Learning [Paper]
Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen, Lawrence Carin
Neural Information Processing Systems (NeurIPS), 2019.
Vision-Language Recommendation via Attribute Augmented Multimodal Reinforcement Learning (Spotlight) [Paper]
Tong Yu, Yilin Shen, Ruiyi Zhang, Xiangyu Zeng, Hongxia Jin
ACM International Conference on Multimedia (ACMMM), 2019.
Improving Textual Network Learning with Variational Homophilic Embeddings [Paper]
Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin
Neural Information Processing Systems (NeurIPS), 2019.
Scalable Thompson Sampling via Optimal Transport [Paper] [Poster] [Code]
Ruiyi Zhang, Zheng Wen, Changyou Chen, Chen Fang, Tong Yu, Lawrence Carin
Artificial Intelligence and Statistics (AISTATS), 2019.
Abridged in NeurIPS 2018, Workshop on Infer to Control.

Self-Enhanced Inverse Reinforcement Learning for Text Generation (Oral) [Paper]
Ping Yu, Ruiyi Zhang, Chunyuan Li, Yizhe Zhang, Changyou Chen
Imitation, Intent, and Interaction (I3), International Conference on Machine Learning (ICML-W), 2019.

Understand and Accelerate Particle-based Variational Inference [Paper] [Poster] [Code]
Chang Liu, Jingwei Zhang, Pengyu Cheng, Ruiyi Zhang, Jun Zhu, Lawrence Carin
International Conference on Machine Learning (ICML), 2019.

Variational Annealing of GANs: A Langevin Perspective [Paper]
Chenyang Tao, Shuyang Dai, Liqun Chen, Ke Bai, Junya Chen, Chang Liu, Ruiyi Zhang, Georgiy Bobashev, Lawrence Carin
International Conference on Machine Learning (ICML), 2019.

2018

Policy Optimization as Wasswerstein Gradient Flows [Paper] [Poster] [Appendix] [Demo]
Ruiyi Zhang, Changyou Chen, Chunyuan Li, Lawrence Carin
International Conference on Machine Learning (ICML), 2018.
Abridged in NIPS 2017, Workshop on Deep Reinforcement Learning.

Learning Structural Weight Uncertainty for Sequential Decision-Making [Paper] [Poster] [Code]
Ruiyi Zhang, Chunyuan Li, Changyou Chen, Lawrence Carin
Artificial Intelligence and Statistics (AISTATS), 2018.

Variational Inference and Model Selection with Generalized Evidence Bounds [Paper] [Appendix]
Chenyang Tao, Liqun Chen, Ruiyi Zhang, Ricardo Henao, Lawrence Carin
International Conference on Machine Learning (ICML), 2018.

A Unified Particle-Optimization Framework for Scalable Bayesian Sampling (Oral) [Paper]
Changyou Chen, Ruiyi Zhang, Wenlin Wang, Lawrence Carin
The Conference on Uncertainty in Artificial Intelligence (UAI), 2018.

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