I work at Huawei Technologies as a research scientist now in Beijing.
I am now working on language identification, machine translation and LLM Agent research. If you are seeking any form of employment opportunity, please feel free to email me at [email protected]. We are also hiring interns!
I graduated from School of Intelligence Science and Technology, Peking University (北京大学智能学院) with a master's degree, supervised by Prof. Zhihong Deng (邓志鸿) and from Qian Xuesen Class, Xidian University (西安电子科技大学钱学森班) with a bachelor's degree. I also collaborate with Prof. Xu Sun (孙栩) closely.
I won the CCL 2023 Best Poster Award and the Huawei Top-10 Patents Nomination Award (华为终端BG十大发明提名). My work was selected by the Xi'an Municipal Government for exhibition at the 2017 Silk Road International Expo (2017丝绸之路国际博览会). I have published several papers at the premier international AI conferences such as IJCNN, NLPCC and CCL.
- Personal Pages: https://karrynest.github.io (updated recently🔥)
- Google Scholar: https://scholar.google.com/citations?user=aRXdah8AAAAJ
- DBLP: https://dblp.org/pid/251/8510.html
- 2024.08: AdaMod optimizer has garnered over 50+ citations and 120+ stars
- 2024.03: One paper is accepted by IJCNN 2024
- 2023.08: 🎉 Win the CCL 2023 best poster award
- 2023.07: One paper is accepted by NLPCC 2023
- 2023.06: One paper is accepted by CCL 2023
More details are shown at my personal homepage.
arXiv Preprint
An Adaptive and Momental Bound Method for Stochastic Learning, Jianbang Ding, Xuancheng Ren, Ruixuan Luo, Xu Sun [Paper] [Code] [Video]NLPCC 2023
An Adaptive Learning Method for Solving the Extreme Learning Rate Problem of Transformer, Jianbang Ding, Xuancheng Ren, Ruixuan Luo [Paper] [Code] [Video]CCL 2023
Adder Encoder for Pre-trained Language Model, Jianbang Ding, Suiyun Zhang [Paper] [Poster]IJCNN 2024
Disfluency Detection for Real-World Scenarios, Jianbang Ding, Suiyun Zhang, Dandan Tu [Paper] [Slide] [Video]