Zilong Zheng
Email: z.zheng[at]
ucla[dot]
edu
I received my Ph.D. degree from the Department of Computer Science at University of California, Los Angeles (UCLA). Before that, I obtained dual bachelor degree of Computer Science at University of Minnesota and at University of Electronic Science and Technology of China (UESTC).
My research interests lie in the intersection of statistical machine learning, natural language processing and cognition. Current research themes include:
- General Multimodal Perception: General multimodal understanding, parsing and explainable modeling.
- Natural Language Reasoning: Neural-symbolic reasoning and planning with language models.
- Generative Modeling: Statistical generative modeling (e.g. EBMs, diffusions) on high-dimensional data.
- Human Robot Cooperation: Building dialogue and planning models that are capable of interating with humans in realisitc environments.
I am always looking for self-motivated interns and long-term collaborators. Please contact me if you have excellent background or share similar research interests with me.
News
2023/10 | One short paper on DocumentRE is accepted to EMNLP’23. |
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2023/08 | Two benchmarks are accepted to NeurIPS’23 D&B Track. Congratulations to Hengli and Jieming. |
2023/05 | Three papers are accepted to ACL’23. Congratulations to Yuxuan and Zixia. |
2023/02 | One paper is accepted to ICLR’23. Congratulations to Xiaojian and Silong. |
2022/12 | I served as an organizer on the first UM-IoS workshop at EMNLP’22. I also presented a keynote speak on Vison-Language Joint Parsing. |
Selected Publications
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: Equal contribution
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: Corresponding author
Professional Services
- Conference reviewer for ICML 2022-2023; ICLR 2022-2023; CVPR 2019-2022; NeurIPS 2020-2022; AAAI 2020-2022; ICCV 2019-2023; ECCV 2020-2022; BMVC 2020; WACV 2021
- Journal reviewer for International Journal of Computer Vision (IJCV), Pattern Recognition (PR), Neurocomputing