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About Me
I am currently a Research Scientist at Adobe Research. My research interests include (interactive) machine learning, reinforcement learning (RL) and natural language processing (NLP), especially the intersection of them. More specifically, I focused on the subfields:
- Interactive NLP: Human-in-the-loop Sequence Labeling and Generation
- Multimodal Interactive Recommendation and Generation
- Uncertainty Estimation in Sequential Decision-Making.
Before that, I obtained my Ph.D. from the
Department of Computer Science,
Duke University. My thesis is about
Uncertainty Estimation in Deep Reinforcement Learning and my Ph.D. advisor is Professor
Lawrence Carin. I received my B.Sc. degree at
Nanjing University in 2016. I was a member of
LAMDA Group, led by Dr.
Zhi-Hua Zhou.
I worked as a research intern at
AWS AI Lab (New York, Summer 2020),
Google Brain (Mountain View, Summer 2019),
Samsung Research America (Mountain View, Spring 2019 & 2020),
Adobe Research (San Jose, Summer 2018), and
Alibaba AntAI (Hangzhou, Summer 2016).
EditNews
- Mar. 2024: Two papers have been accepted to NAACL 2024.
- Feb. 2024: Two papers have been accepted to CVPR 2024.
- Jan. 2024: Three papers have been accepted to ICLR 2024.
- Dec. 2023: One paper has been accepted to AAAI 2024.
- Oct. 2023: One paper has been accepted to EMNLP 2023.
- Sep. 2023: Two papers have been accepted to NeurIPS 2023.
- July 2023: One paper has been accepted to ICCV 2023.
- Apr. 2023: Two papers have been accepted to ACL 2023.
- Jan. 2023: One paper has been accepted to AAAI 2023.
- Oct. 2022: Two papers have been accepted to EMNLP 2022.
- Apr. 2022: One paper has been accepted to SIGIR 2022.
- Mar. 2022: One paper has been accepted to CVPR 2022 (SoTA on text-to-image sythesis with 1% DALL-E size).
- Feb. 2022: Two papers have been accepted to ACL 2022.
- Nov. 2021: Two papers have been accepted to AAAI 2022 (one with my first intern Yufan).
EditSelected Publications [Full List]
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LAFITE: Towards Language-Free Training for Text-to-Image Generation
[Paper]
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.
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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.
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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.
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GenDICE: Generalized Offline Estimation of Stationary Values (Oral)
[Paper]
Ruiyi Zhang, Bo Dai, Lihong Li, Dale Schuurmans
International Conference on Learning Representations (ICLR), 2020.
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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.
EditProfessional Sevices
- Senior Program Committee & Area Chair: IJCAI'21-22, AAAI'22
- Program Committee & Reviewer: AAAI'19-21, NeurIPS'19-21, ICLR'21, ACL'20-21, EMNLP'20-21, CVPR'19-21, ICCV'19-21, ICML'20-21
- Workshop on Continual and Multimodal Learning @ Ubicomp'19 and IJCAI'21
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Awards & Honors
- Outstanding Graduate Student of Nanjing University, Rank 1st/143 in CS, 2016
- CCF (China Computer Federation) Outstanding Undergraduate Award 2015
- Microsoft Young Fellowship by Microsoft Research Aisa 2015
- Pacemaker of Outstanding Student of Nanjing University (30/12000+) 2014
- National Undergraduate Scholarship for consecutive three years. 2013
Miscellaneous
Outside of research, I enjoy reading, traveling and cooking. I put some of my photos on 500px .