Zining Zhu (朱子宁)
I am a PhD candidate at University of Toronto. I am interested in understanding the mechanisms and abilities of neural NLP systems. In the long term, I try to build reliable, interpretable an trustworthy NLP systems. These include developing methods to communicate complex decisions to humans, and empowering real-world applications with the advance of the models.
Following are some topics I am working on:
The publication page contains a complete list of my publications. I happily collaborate with many researchers on the above topics. Please click here if you want to chat about collaboration or related ideas.
| University of Toronto 2019 - present
Ph.D student in Computer Science
Advisor: Frank Rudzicz
|University of Toronto 2014 - 2019
Bachelor in Engineering Science, Robotics option.
Work / Research
| Amazon, Applied Scientist Intern, 2022
Search - Query Understanding. Advisors: Haoming Jiang, Jingfeng Yang, Sreyashi Nag, and Chao Zhang
| Tencent Jarvis Lab, Machine Learning Engineering Intern, 2019
Neural language models and pre-training techniques. Advisor: Ruihui Zhao.
|Winterlight Labs, Research Software Engineer, 2017 - 2018
Automatic detection of dementia from narrative speeches. Advisor: Jekaterina Novikova.
|TripAdvisor, Software Engineering Intern, 2017
Android applications and Java API.
|Dynamic Systems Lab at UTIAS, Research Assistant, 2016
Enhancing drone controllers using deep neural networks. Advisor: Angela Schoellig.
- Marvin Minsky is my great-great-grand advisor (Z Zhu to F Rudzicz to G Hirst to E Charniak to M Minsky)
- I post videos on YouTube channel, and this blog.
- I took some notes about several AI / NLP conferences I attended.
NAACL’18 NAACL’19 AAAI ‘20 ACL ‘20, NAACL ‘21
- I paddled at dragonboat teams: Iron Dragons (2018-2019 season) and Vic Scarlet Dragons (2017-2018 season).